Miracle-dz/UniFAR-FTUs huggingface dataset:
GLOBOPLAY THUMBNAILS: USING AI TO EXTRACT THE BEST FRAME TO REPRESENT DRAMA SERIES

Traditionally, the process of choosing the best thumbnail is having human curators or editors select it. It requires technical expertise as well as a good notion of which specific target population that content should be directed to. We present an algorithm that automatically extracts the “Best Frame" from the drama series’ episodes to be the thumbnail using not only the video but also the episode summary text and closed captions (CC). This “Best Frame” carries the essential characteristics that human professionals would look for while trying to manually select a thumbnail
Are Star Lawyers Also Better Lawyers?

We study the performance of dominant plaintiff law firms (“stars”) in litigation brought against publicly traded corporations. We use insurance coverage as a benchmark for expected settlement amounts, to separate to what extent (a) stars reach more favorable settlements on any lawsuit (a performance or treatment effect) or (b) stars are retained in lawsuits where a favorable settlement is ex ante more likely (a selection effect). Our findings indicate the latter, and that star firms have an economically small impact on settlement amounts. This result is not explained by measurement error or over-/under-insurance. The extent to which stars are associated with improvements in corporate governance also appears limited. The stars’ large market share and the high fees they earn may be justified by their ability to reduce uncertainty about the lawsuit outcome or by frictions, such as aggressive marketing and limited client sophistication and bargaining power, which limits the stars’ clients’ ability to turn to other law firms. JEL codes: K41, G34, L43
Evolutionarily Stable Strategy: Globally Stable or Locally Stable?

Nash [1949] established the existence of equilibrium for the Nash non-cooperative game. His result was applied to the existence proof of general equilibrium theory by Arrow and Debreu [1954]. In general equilibrium theory, the analyses of uniqueness and stability were conducted to examine the structure of equilibria. In the game theory the concept of evolutionarily stable strategy (ESS) was provided by Maynard Smith and Price [1973], to examine the strucute of equilibria. ESS was utilized to explain the activity of animals and human beings, by constructing the strategy sets for the two-player-Nash-game as "hawks (hawkish strategy)" and "doves (dovish strategy)". ESS is one of the standard topics for the graduate level textbooks for the game theory. In such a standard textbook, as Osborne and Rubinstein [1994, Section 3.4], evolutionary equlibrium is examined for "the members of a single population of organisms, such as animals and human beings, interacting with each other pairwise" (pp.48-9). The definition of ESS appears to correspond with "local" stability in general equilibrium theory: robustness of ESS against "small scale" invasions of mutants. In examining the exercise in their book, however, ESS in Hawk-Dove game satisfies "global" stability: robustness of ESS against "large scale" invasions of mutants. Dichotomy of ESS between global stability and local stability enriches the game theory in examining how ESS is robust to the invasion of mutants. In this paper, Hawk-Dove game and other games constructed from the motion pictures are examined from the viewpoint of global and local stabilities. Following Osborne and Rubinstein [1994], this paper begins with the consideration of Hawk-Dove game, proceeding to the one of Sir Thomas More's game, constructed from the motion picture, A man for all seasons (1966), and then to the one of Confess-Hide game, from the motion picture, Gentleman's agreement (1947).
The peculiar personality of strongmen: comparing the Big Five and Dark Triad traits of autocrats and non-autocrats

ABSTRACT The personality of political leaders matters for their electoral success and performance once in office. Yet, we still know too little about the personality profiles of leaders worldwide. In this article, we focus on the profile of a particular type of leader, central to contemporary warnings about ‘democratic backsliding’: strongmen. Who are they? Much has been written about their behaviour and policies, but little attention has been granted to their personality profile. As we argue in this article, looking at their personality is a potentially important new avenue to understand the rise and success of strongmen worldwide. We compare the profile of 157 leaders having competed in 81 elections worldwide between June 2016 and July 2019 – including 14 leaders with autocratic tendencies (Putin, Trump, Bolsonaro, Erdoğan, Orbán, Duterte, Netanyahu and several others). Using the ratings provided by 1800+ scholars we show that autocrats score significantly lower on agreeableness and emotional stability, and (marginally) higher on extraversion. Autocrats also score significantly higher than non-autocrats on the Dark Triad (narcissism, psychopathy and Machiavellianism), even when compared to right-wing non-autocrats. These results have important implications for the study of democratic deconsolidation, authoritarianism, and the personality of elected officials.
AN IMPROVED SINGLE-STEP SCREENING METHOD FOR GLUCOSE-6-PHOSPHATE DEHYDROGENASE DEFICIENCY

We have established a new simple and rapid screening method for glucose-6-phosphate dehydrogenase (G6PD) deficiency. The principle of this method is the formation of blue formazan with the reduced form of nicotinamide adenine dinucleotide phosphate (NADPH) produced by G6PD absorbed on a DEAE-Sephadex anion exchanger. The whole procedure is performed in a microcentrifuge tube and it can be completed in less than 30 min without any special equipment other than micropipettes. Our method is particularly suitable for field detection of G6PD-deficient subjects prior to administration of primaquine in
USING DEEP LEARNING TECHNOLOGIES TO PROVIDE DESCRIPTIVE METADATA FOR LIVE VIDEO CONTENTS

As the consumption of video contents rises and consumers’ behaviour changes, video broadcasters must find new strategies to engage with their viewers. In this context, metadata are used to provide customers with personalized, relevant contents. More recently, content-descriptive metadata have enhanced the personalization of services and have offered providers new monetization opportunities thanks to, e.g., more effective content recommendations and contextual advertising. So far, descriptive metadata have been applied to pre-recorded contents, while they still represent a huge amount of unexploited valuable information for live streams. This paper highlights how deep learning technologies can add value to information contained in each video frame of both live and non-live contents, automatically providing detailed descriptive metadata. This technology opens up the opportunity for broadcasters to offer new services and an innovative way of video consumption.
Self-serving attribution bias and CEO turnover: Evidence from CEO interviews on CNBC

Self-serving attribution bias (SAB, hereafter) is a type of misattribution bias in which CEOs attribute the outperformance of the company to their own abilities, and underperformance of the company to bad luck or the economy. Using the transcripts of CEO interviews on CNBC, we find that the stock market response to the interviews of CEOs with self-referencing behavior is negative. Moreover, the CEOs with SAB are more likely to be fired and more sensitively to performance, especially if the governance is stronger. We also find that the stock market response to the announcement of forced turnovers of CEOs with SAB are significantly more positive by up to 9.7% over the event window of [-1,1] days. While we find the negative tone of the interviewing journalists increases the likelihood of forced CEO turnover and increases the turnover-performance sensitivity, the correlation between turnover and SAB is robust.
OF THE 5 th INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND TECHNOLOGY ( ICOEST ) 09-13 October 2019 , Sarajevo , Bosnia-Herzegovina

The Economic flows and Financial resource flows are of great importance in the world trade economy. Developments that develop as the common denominator of these trends and which affect the world economies are known as “Industrial Revolutions”. These Indsutrial Processes which have been increasingly influential since the early 18 centuries and reshaped the economies of the whole countries, have reached a new stage today and are defined as Industry 4.0. As a result of the effects of industry 4.0, autonomous ships which are developing technology products, are also preparing to serve in maritime transportation and maritime trade sector. It is clear that all these developments will continue to be implemented within the framework of unchanging maritime and environmental rules. In this study trying to explain all comments and observations on how the Industry 4.0 and autonomous ships could be integrated into the marine environment during the maritime transportation on maritime trade sector.
A teacher guide to mastery approaches and ‘mathematical mindsets’

Perhaps the biggest challenge to developing mastery approaches to teaching in your school is that these pedagogies depend on the teachers’ beliefs about intelligence and about the nature of mathematics as a subject (Boyd & Ash 2018a; 2018b). Benjamin Bloom and colleagues developed a framework for mastery learning in the 1970s (Bloom, 1971). In this body of work, mastery is presented as a philosophy about teaching founded on the assumption that ‘under appropriate instructional conditions virtually all students can and will learn well most of what they are taught’ (Block & Anderson, 1975 p.1). This stance seems to adopt a belief that intelligence is malleable (Dweck, 1999; 2006) and an approach that avoids labelling children (Hart et al., 2004). Mastery approaches to maths are entangled with mindset theory applied with the specific domain of maths teaching and learning (Boaler, 2016).
Evaluation of a 4-Degree of Freedom Parallel Manipulator Stiffness

The H4 parallel robot is a new type of parallel machine with four degrees of freedom. The purpose of this work is to evaluate the H4 stiffness, that is to say the displacement response of the terminal travelling plate when it is submitted to a given force. Robot kinematics is described and information about parallel kinematics machine is given. Firstly, the experimental setup used to measure prototype stiffness is presented, which allows us to obtain real data and also to take into account geometry defaults and clearance between parts (backlash). Secondly, a Finite Element Analysis is described, including a multi-beam articulated model where all the joints are translated into displacement relaxations. Finally, results of both methods are compared and conclusions on the current robot design are drawn.
REMOTE SENSING APPROACH FOR DIGITAL AERIAL IMAGERY

Typical but distinct application fields have traditionally been established for satellite-based remote sensing as well as for airborne photogrammetry. However, within recent years new technological developments have caused a slow disappearance of these divergences and the formerly clear separated application areas are gradually starting to converge. In the area of aerial image acquisition one of the most important steps towards the expansion of traditional application fields which has been made within the last few years is the development of digital photogrammetric cameras and their introduction to the market. As a result it was possible to combine the extremely high geometric resolution and accuracy with the excellent radiometric and spectral characteristics of digital image sensors. Our contribution features the results of some selected projects and discusses the experiences made during practical operations. An investigation will be presented in which both the DMC and a film-based photogrammetric camera LMK (Zeiss) were used to take images of the same area, thus comparing geometric features of the images from both cameras. The results show the outstanding geometric features of the DMC and prove that the DMC is suitable for traditional photogrammetric tasks under operational conditions. The second part of the presentation focuses on the new, in comparison to film-based cameras, significantly improved spectral and radiometric features, and first results of the application of automated classification procedures as well as classification results derived from combined data sets containing DMC images and other digital remote sensing data are presented.
Essays on Measuring Dynamic Community Responses to Environmental Events

One of the things that makes economics such an interesting social science subfield to study is the analysis of unintended or unforeseen consequences. In order for policies to be efficient and equitable, it is important to first understand how endogenous policy decisions and exogenous events can affect communities either directly or indirectly. In this dissertation research, I examine how communities react to discrete environmental events over time. I do so in the context of tropical storm and hurricane activity in U.S. counties and media markets as well as land conservation spending decisions in Massachusetts and New Jersey municipalities. Using micro-level data on environmental events and behavior in difference-in-differences and dynamic regression discontinuity frameworks, I test whether: (1) hurricane strikes affect poverty levels in impacted counties, (2) tropical storms and hurricanes create a window of opportunity where the affected population is interested in taking action to mitigate against future costs, and (3) local municipal conservation actions cause crowd-in or crowd-out conservation behavior from the state and neighboring local governments. The use of micro-level data (at the sub-state level) allows for the possibility of rigorous treatment identification that hold important implications for policymakers in all three settings.
A STABILITY ANALYSIS FOR THE INTEGRAL EQUATIONMETHOD IN TIME DOMAIN

Stability issues relevant to a numerical technique based on the Electric Field Integral Equation in Time Domain (EFIE – TD) are discussed. This marching on in time method is particularly suited to analyze short electromagnetic pulse scattering from perfectly conducting bodies of arbitrary shape. In particular, attention is focused on the introduction of an alternative testing procedure which reduces the computational burden. Numerical results are presented to validate the formulations.
ARTIFICIAL INTELLIGENT SYSTEMS APPLICATION IN CERVICAL CANCER PATHOLOGICAL CELL IMAGE CLASSIFICATION SYSTEMS — A REVIEW

Cervical cancer cell images play an important part in diagnosing the cancer among the females worldwide. Existing noises, overlapping cells, mucus, blood and air artifacts in cervical cancer cell images makes their classification a hard task. It makes it difficult for both pathologists and intelligent systems to segment and classify them into normal, pre-cancerous and cancerous cells. However, true cell segmentation is needed for pathologists to make for accurate diagnosis. In this paper, a review of algorithms used for cervical cancer cell image classification is presented. This includes pre-processing steps (noise reduction and cell segmentation/without segmentation), feature extraction, and intelligent diagnosis systems and their evaluations. Finally, future research trends on cervical cell classification to achieve complete accuracy are described.
STUDY OF THERMAL AND HYDROLYTIC DENATURATION OF CASEIN (αS1) USING DIFFERENTIAL SCANNING CALORIMETRY (DSC)

Among various casein variants, α-S1 has been identified as potential allergen for the sensitive individuals. In this study various thermal and hydrolytic techniques have been employed to denature casein for its extended use as functional ingredient especially to manage allergy. This study aims to denature casein (αS1) for characterization as functional ingredient in various food and nutraceutical formulations. Casein was denatured using standard thermal (dry, wet and microwave heat) and hydrolytic (using various enzymes) techniques. Denatured casein was characterized using Differential Scanning calorimetry (DSC). Native casein showed thermal transition (∆Hd) at 0.079 J/g corresponding to the denaturation temperature 103.7570C. Denatured casein showed new epitopes according to various degrees of denaturation as reflected by variable enthalpies (∆Hd) corresponding to specific denaturation temperatures. Dry heat treatment for 60 minutes and wet for 45 minutes showed significant thermal denaturation of casein giving 11.05 and 193.10 J/g enthalpies corresponding to 109.775 and 122.472 0C and 0.002 and 0.002 J/g enthalpies corresponding to 116.425 and 120.173 0C denaturation temperatures respectively. Similarly, hydrolytic denaturation of casein by various enzymes showed variable enthalpies (∆Hd). Casein showed new epitope formation due to which it can be used as diversified functional ingredient.
A Simple and Efficient Method for Computing Data Cubes

—Based on a construction of the power set of the fact table schemes, this paper presents an approach to represent and to compute data cubes using a preﬁx tree structure for the storage of cuboids. Though the approach is simple, the experimental results show that it is efﬁcient in run time and storage space.
Proceedings of the Workshop on Language Technology for Digital Historical Archives - with a Special Focus on Central-, (South-)Eastern Europe, Middle East and North Africa

Arabic script is a multi-layered ortho-graphic system that consists of a base of archigraphemes, roughly equivalent to the traditional so-called rasm , with several layers of diacritics. The archigrapheme represents the smallest logical unit of Arabic script; it consists of the shared features between two or more graphemes, i
21st Century Propaganda: The Age of Twitter

Twitter is a new platform in which politics and social engagement has found a home. Due to this a new medium to propagate a message has emerged that is unlike traditional platforms of propaganda. I hypothesize that traditional tactics of analyzing propaganda are no longer sufficient. I conducted an 8 week study cataloguing tweets that contained either the hashtag #falseflag or #hoax that were based on current topics in the United States. In total I retrieved 128 tweets. I first analyzed these tweets through the seven traditional tactics of propaganda and found that they were only present in 51% of tweets, and therefore no longer a sufficient classifier of propaganda. I propose six new characteristics of Twitter propaganda that create a model to determining if a message includes propagandist material. These characteristics include: (1) a call to action, (2) questioning a proposed or accepted argument, (3) questioning a person’s authority or an authoritative power, (4) evidence given or a proposed argument, (5) a call to a person, and (6) placement of blame.
Computational modelling to predict/explain MI-BCI users' performances and their progression

Mental-Imagery based Brain-Computer Interfaces (MI-BCIs) make use of brain signals produced during mental imagery tasks to control a computerized system. The current unreliability of MI-BCIs could be due, at least in part, to the use of inappropriate user-training procedures. In order to improve these procedures, it is necessary first to understand the mechanisms underlying MI-BCI user-training, notably through the identification of the factors influencing it. Thus, we aim at creating a statistical model that could explain/predict the mean performances of MI-BCI users using their traits (e.g., personality) but also the evolution of performances using demographic data (age, gender) and the timing of the experiment (time lapse between two sessions). We used the data of 42 participants collected from three different studies [1-3] that were based on the same MI-BCI paradigm. They were asked to learn to control an MI-BCI by performing three MI-tasks (i.e., left-hand motor imagery, mental rotation and mental subtraction) across different training sessions (3 or 6 depending on the experiment). We used a LASSO regression (Least Absolute Shrinkage and Selection Operator)[4] with a leave-one-subject-out cross validation to build different models. Our first results showed that using the users' traits may only enable the prediction of performances within one multiple-session experiment, but might not be sufficient to reliably predict MI-BCI performances across experiments. In a second time, we were able to find a model gathering all the subjects that could predict the mean performance of a session using the participant's gender, the timing of the experiment and the mean performance over the previous session (p < .01). Further studies considering, for instance, an estimation of the users' states and new metrics to assess performances are necessary to reveal more reliable models of MI-BCI performances.
Maternal Protein Restriction in Two Successive Generations Impairs Mitochondrial Electron Coupling in the Progeny’s Brainstem of Wistar Rats From Both Sexes

Maternal protein deficiency during the critical development period of the progeny disturbs mitochondrial metabolism in the brainstem, which increases the risk of developing cardiovascular diseases in the first-generation (F1) offspring, but is unknown if this effect persists in the second-generation (F2) offspring. The study tested whether mitochondrial health and oxidative balance will be restored in F2 rats. Male and female rats were divided into six groups according to the diet fed to their mothers throughout gestation and lactation periods. These groups were: (1) normoprotein (NP) and (2) low-protein (LP) rats of the first filial generation (F1-NP and F1-LP, respectively) and (3) NP and (4) LP rats of the second filial generation (F2-NP and F2-LP, respectively). After weaning, all groups received commercial chow and a portion of each group was sacrificed on the 30th day of life for determination of mitochondrial and oxidative parameters. The remaining portion of the F1 group was mated at adulthood and fed an NP or LP diet during the periods of gestation and lactation, to produce progeny belonging to (5) F2R-NP and (6) F2R-LP group, respectively. Our results demonstrated that male F1-LP rats suffered mitochondrial impairment associated with an 89% higher production of reactive species (RS) and 137% higher oxidative stress biomarkers, but that the oxidative stress was blunted in female F1-LP animals despite the antioxidant impairment. In the second generation following F0 malnutrition, brainstem antioxidant defenses were restored in the F2-LP group of both sexes. However, F2R-LP offspring, exposed to LP in the diets of the two preceding generations displayed a RS overproduction with a concomitant decrease in mitochondrial bioenergetics. Our findings demonstrate that nutritional stress during the reproductive life of the mother can negatively affect mitochondrial metabolism and oxidative balance in the brainstem of F1 progeny, but that restoration of a normal diet during the reproductive life of those individuals leads toward a mitochondrial recovery in their own (F2) progeny. Otherwise, if protein deprivation is continued from the F0 generation and into the F1 generation, the F2 progeny will exhibit no recovery, but instead will remain vulnerable to further oxidative damage.