Miracle-dz/UniFAR-FTUs huggingface dataset:
Co-evolution of in-group favoritism and cooperation

In-group favoritism is the tendency of individuals to aggregate towards others they have more in common with and adapt their behavior accordingly. It is a central aspect of the real world that strongly impacts the propensity of individuals to cooperate, both in human and animal societies: Individuals are often more willing to incur a cost to convey a benefit to individuals of the same group. Here we show that this outcome may depend on the particular dilemma individuals face and how individuals revise their group membership, as well as their attitude towards others, who can share or not this membership. We develop a model that simulates a population of agents that are divided in groups and interact with each other, playing 2-player games which are modeled according to the principles of Game Theory. Our purpose was to study the behavior of the population and how cooperation depends on characteristics such as number of groups, tendency towards in-group or out-group interaction (which can be expressed as the proportion of agents who tend to cooperate more with outsiders), as well as the game that is played. We studied their impact on strategies, group membership, and overall cooperation, be it within each group the overall population. We show that whenever group affiliation remains unchanged, irrespectively of the game played, increasing the number of groups raises cooperation. Group imitation promotes cooperation in coordination games such as the Stag Hunt game, but has the opposite effect with the Prisoners Dilemma. Finally, by increasing the proportion of agents that interact less with outsiders, we obtain higher values for overall cooperation in the Prisoners Dilemma, whereas the Stag Hunt sees higher values of cooperation when either all agents interact with outsiders, or none at all.
Etoposide-Associated Muscle Cramps and Management with Diazepam

Aim: Etoposide is an anti-neoplastic drug used in the management of testicular malignancies. In this report, we describe an unexpected adverse reaction experienced by a 27-year-old male patient undergoing first line treatment for metastatic testicular cancer with bleomycin, etoposide, and cisplatin (BEP) protocol. Case Report: The patient, on separate days, experienced two episodes of severe muscle cramps associated with excruciating pain shortly after the administration of etoposide therapy. With no other drugs administered at the time of the etoposide infusions, and a Naranjo probability score of seven, the association between etoposide and the muscle cramps experienced by the patient is probable. To maintain the patient on first-line therapy, diazepam was administered prior to each infusion of etoposide with a favorable response. The patient continued to receive therapy with etoposide without the occurrence of muscle cramps. Conclusion: To the extent of our knowledge, this is the first case report describing such an adverse reaction, also highlighting a possible means of management. *Corresponding author: Saad AH, School of Pharmacy, Lebanese American University, Byblos, Lebanon, Tel: +961-70-128-560; E-mail: Aline.saad@lau.edu. lb Received August 02, 2019; Accepted August 12, 2019; Published August 19, 2019 Citation: Zaweel A, Karaoui LR, Abi-Nader T, Youssef A, Saad AH (2019) EtoposideAssociated Muscle Cramps and Management with Diazepam. J Clin Case Rep 9: 1270. Copyright: © 2019 Zaweel A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Development of the prediction model of workers with fatal accident at construction site using machine learning

In the Republic of Korea, the industrial accident rate and the number of casualties in the construction industry have continued to increase for six years from 2011. The average industrial accident rate is 26.44% and the average number of casualties is 24,183. To prevent accidents, the Ministry of Employment and Labor (MOEL) presents various analysis data through the annual industrial accident report, but this has not been effective in reducing accidents as a result. In this paper, using the Logistic regression model that is one of the Machine learning method, this study develops a construction accident prediction model by training 80% of the data of accident casualties (25,114 persons) and accident deaths (499 persons) by 2016 and tests the predicted model with 20% unused data. And then, this study presents a construction site safety management process using the predicted model. The model and process developed in this paper are expected to contribute to the safety management of the construction site as a tool to prevent fatal accidents of construction workers.
Estimating Firm-Level Risk Preliminary

Most models incorporating rm heterogeneity assume that idiosyncratic productivity follows an AR(1) process. However, there remains substantial disagreement on the persistence parameter, with estimates ranging from a unit root to a nearly iid component. This paper uses the information embedded in rms investment decisions to estimate the productivity process: investment reacts more to a permanent shock than to a transitory shock. I apply this methodology to a sample drawn from Compustat, using a method of moments estimator. The estimates give an important role to permanent shocks. I study the implications of these estimates in a general equilibrium model of rm dynamics. Mistaking permanent shocks for persistent shocks can lead to incorrect inferences regarding, for instance, the e¤ect of a friction on aggregate productivity. As an example of application of this methodology, I also study the trends and cycles in rm-level volatility. 1 Introduction Panel data on rms and establishments reveal substantial idiosyncratic volatility.1 This empirical nding has led to the development of models of rm dynamics with productivity heterogeneity. These models are now common in macroeconomics, industrial organization, trade, corporate nance, and other elds.2 Two key inputs in these models are the variance and persistence of idiosyncratic shocks. These parameters determine the risk that rms face, their optimal policies for a given structure of adjustment costs, Boston University, Department of Economics, 270 Bay State Road, Boston MA 02215. Email: fgourio@bu.edu. Phone: (617) 353 4534. I thank participants in a BU macro lunch and Je¤ Campbell for comments. 1Some key facts are: (a) sales, employment and investment are highly volatile; (b) there is a lot of turnover of jobs and rms; (c) productivity heterogeneity is large and persistent. As a result, at a point in time in a given industry, gross entry and exit are both large, even if net entry is small at the industry-level. Similarly, gross job creation and gross job destruction are large, even if net employment growth is small (see Dunne, Roberts and Samuelson (1989), Davis, Haltiwanger and Schuh (1996), and Bartelman and Doms (2000)). 2A list which makes no attempt at exhaustivity includes (1) models of factor adjustment costs (e.g., Caballero and Engel (1999) or Cooper and Haltiwanger (2006)); (2) models of entry, exit, and reallocation, (e.g., Hopenhayn (1992) or Hopenhayn and Rogerson (1993)); (3) trade theory (Melitz (2003)); (4) corporate nance (e.g. Gomes (2001), Hennessy and Whited (2005)); (5) public nance (e.g., Gourio and Miao (2008)). While most of these models have been used to study steady-states or balanced growth, recent work incorporates business cycles dynamics.
Procedural Content Generation for Cooperative Games

In this work, we tackle the existing gap in procedural content generation, specifically for cooperative games by presenting a solution of our own. Our work is comprised by a level editor with the capability of generating cooperative levels for the game Geometry Friends. The level generator was based of the algorithm Monte Carlo Tree Search and a flood field based evaluation algorithm. We conducted experiments to see if we were successful in developing such tool and if the levels generated were interesting, fun and were in fact cooperative. Our results suggest that we achieved our goals in creating a tool that produced cooperative levels that are engaging.
ADVANCE: Alzheimer’s Disease VisuAlization of braiN ConnEctivity

Alzheimer’s disease is commonly associated with neuron loss and consequent difﬁculty in forming memories, resulting in a negative impact on people’s quality of life. In fact, with the development of Alzheimer’s, the functional and metabolic connections between different regions of the brain go through several changes. Brain connectivity in an approach in which the brain is studied in a sophisticated manner looking for structural and functional relations between brain regions, developing tools for the analysis, classiﬁcation and visualization of brain connectivity. In the context of Alzheimer’s, it presents a great potential, allowing early diagnosis and treatment. Nevertheless, the data needed to perform brain connectivity analysis is usually obtained through neurological examinations, often unprocessed and difﬁcult to interpret. Getting an overview of such data while allowing the specialists to understand the development of the disease would greatly improve current processes. We present an ongoing interactive visualization consisting of synchronized views that allow effective navigation and analysis of brain connectivity.
10 theses about MBSE and PLM Challenges

The complexity of innovative products is increasing through interaction and interdependency induced by mega-trends such as the “Internet of Things”, “Smart Manufacturing” and “Industrie 4.0”. Multiple engineering disciplines must be well coordinated to cope with the challenge; both organization and technology are affected. In this context, our goal is to establish a solid foundation for a lifecycle spanning development and manufacturing process, called Model-Based Engineering (MBE). Specifically the information management in the product conception phase, including the interoperability of the supporting IT infrastructure, are of prime importance for the whole product lifecycle. This paper elaborates 10 theses about the necessity to integrate the currently isolated Product Lifecycle Management (PLM) and Model-Based Systems Engineering (MBSE) methods. Model-Based Engineering (MBE) is seen as the resulting concept of combining lifecycle spanning management of product data (PLM) and formal description of systems (MBSE).
Using the web to explore scientific knowledge and extend the desktop information space

We conducted a study on how academic researchers manage multiple documents acquired from the web for later retrieval. We interviewed 11 participants and identified their strategies when trying to re-find specific documents. We found that they often prefer web-based search for re-finding documents, despite knowing that the document of interest is stored on their computers. We argue that Web search engines can act as an extension of the desktop information space. We found that users choose keyword-based search not only when the document's location is unknown but also when the retrieval cost is very low: they do not bother about properly storing files because most files are easily found again with a web- based search engine. We close by discussing the implication of these findings for the design of future document management tools.
Smart Reconnaisance and Apprise System using Raspberry PI

: In day today life, the security of our belonging is becoming more important. The modern surveillance is integrated with many automation technologies. In this modern world, crime has become ultra modern tool. At this point of time a lot of incident occurs like robbery, stealing unwanted entrance happens, threatening abruptly. So the security does matters in this daily life. This paper presents the monitoring and controlling of surveillance system enhanced with WI-FI (IEEE 802.11) technology. This system consists of webcam, Raspberry PI (BCM2837). In this system, webcam is used to detect the motions or to trace out the intruders and also detect fire. In case of any human movement or fire accident occurs, the webcam will capture live data in the surroundings and transmit it to authorized user through WI-FI(IEEE 802.11). Simultaneously, the buzzer alerts the nearby neighbors. The system also consist of sprayer, sprays the chloroform liquid on the intruders.
Representations in visual motion

The problem of constant perception despite varying visual sensations, i.e., how despite different images of the same scene, the world is perceived as stationary, has puzzled many researchers in the last five decades. In an attempt to answer this question another basic question arises: Is there an image-sequence transformation under which permanent properties of the environment are preserved during the motion of the eye? This paper deals with motion-based image transformations that lead to new representations of 3-D objects for a rectilinear motion of an observer. In the new representations a stationary environment is kept invariant or "frozen" in spite of the fact that the images on the retina are continuosly changing. Since the 3-D stationary environment is also represented as a stationary environment, moving objects can be easily detected and a good estimation of the scene from a long sequence of noisy images can be obtained. Three basic observations which are related to translational motion of an observer led to the new representations. One is that the radial distance of a point in 3-D space from the camera translational path is kept constant at any instant of time. The second observation is that the relative depth along the translational path between two points is the same at any point in time. The third observation is that points in the image plane move away from the Focus of Expansion (FOE) and towards the Focus of Contraction (FOC). The new representations are simple. All measurements for these representations take place in camera coordinates, only one camera is necessary, and the magnitude of the camera velocity vector need not be known. The representations are pixel based, i.e., they involve local and parallel computations. The mathematics involved is simple, and thus it may be suitable for real time applications.
Atomic Dynamic Software Upgrades Using Software Transactional Memories

The upgrade of a running program is often a disruptive operation that involves stopping and restarting the program’s execution, becoming, thus, a serious problem for dependable systems. Yet, software upgrades are unavoidable. Unfortunately, current solutions for dynamic software upgrades are either incomplete or not practical. In this work, I layout the foundations for a new dynamic software upgrade system that provides atomic upgrades and is designed to integrate seamlessly with the current software development practices. This new upgrade system leverages on a software transactional memory to ensure that all the requests of an upgraded system are processed in a consistent state of the program, either before or after the upgrade.
A Virtual Assistant for Web Dashboards

This work relates the research and implementation of a Natural Language Interface to a Database about Rollover Opportunites , responsible for answering questions at BNP Paribas Global Client Analytics Group. We study several Natural Language Interfaces to Databases’ and other Natural Language Processing systems, taking into consideration the project at hand and the limitations of the problem this work deals with. After that, we describe the architecture for the implementation. The environment in which the questions are asked, named entity recognition, the processing of the user’s question, and the two approaches implemented are also detailed. We have implemented a semantic grammar, which constitutes sys1. An implementation with the SEMPRE toolkit and its learning component constitutes sys2. Both implementations are detailed, as are the aspects that needed special attention, such as the use of date expressions in the user’s question. Our results show that knowledge of the domain is crucial in a rule-based implementation, as it is not ﬂexible. We also notice that our learning implementation, sys2 has a better result than sys1.
Determination of porcine oocyte and follicular fluid proteins from small, medium, and large follicles for cell biotechnology research

Porcine oocytes from small, medium, and large follicles can be classified into five types. Type I (intact-cumulus oocytes) and type II oocytes (multi-cumulus cell layers surrounding oocytes) have high potential to be developed into in vitromatured oocytes. Determination of porcine follicular fluid (pFF) proteins from 3 follicle sizes by SDS-PAGE and LC/MS/MS, 6 protein bands sizes 52, 65, 79, 90, 160, and >220 kDa were identified as immunoglobulin gamma chain, keratin, porcine inhibitor of carbonic anhydrase, heat shock protein or plasminogen precursor or both, transthyretin, and protease. All proteins were reported for their important roles in promotion and regulation on growth and development of reproductive cells except for the protein band at 79 and 160 kDa which had diminished function in the first metaphase of oocyte. This study provides knowledge on the oocyte and pFF proteins as biological models and in vitro cell maturation supplements in biotechnology research.
Mutation analysis of the tumor suppressor gene PPP2R1B in human cervical cancer

Protein phosphatase 2A (PP2A) holoenzyme plays a critical role in cell cycle control and growth factor signaling. The PPP2R1Bgene encodes the beta isoforms of the subunit A of the PP2A. We aimed to evaluate the role of the PPP2R1Bgene in the pathogenesis of cervical cancer. Twenty-four women with primary cervical cancer were included. All resected specimens were divided into two groups: (1) cervical cancers (n= 24), (2) nearby noncancerous tissues (n= 24). We performed nested reverse transcriptase–polymerase chain reaction analysis and complementary DNA sequencing on the genomic DNA samples of all specimens. The aberrant transcripts and gene mutation as well as the genotype and allele frequencies of codon 66 CTA/CTG of PPP2R1Bgenes in both groups were compared. The percentages of aberrant transcripts between both groups were nonsignificantly different (20.8% vs 33.3%). There was no mutation in all specimens. The genotype and allele frequencies between both groups were non-different. Proportions of CTA homozygote/heterozygote/CTG homozygote were (1) 66.7/8.3/25% and (2) 58.3/12.5/29.2%. Proportions of CTA/CTG alleles in both groups were (1) 70.8/29.2% and (2) 64.6/35.4%. We conclude that PPP2R1Bgenes may not play a role in the carcinogenesis of cervical cancer. Mutations of PPP2R1Bgene are not frequent in cervical cancer.
On Modeling and Interpreting the Economics of Catastrophic Climate Change

With climate change as prototype example, this paper analyzes the implications of structural uncertainty for the economics of low-probability, high-impact catastrophes. Even when updated by Bayesian learning, uncertain structural parameters induce a critical tail fattening of posterior-predictive distributions. Such fattened tails have strong implications for situations, like climate change, where a catastrophe is theoretically possible because prior knowledge cannot place sufficiently narrow bounds on overall damages. This paper shows that the economic consequences of fat-tailed structural uncertainty (along with unsureness about high-temperature damages) can readily outweigh the effects of discounting in climate-change policy analysis.
Guidance Optimization for Mars Pinpoint Landing with Optimal Trigger and Re-optimization

Precise landings will be required for future Mars missions and will be crucial to missions landing on challenging places such as craters or valleys. Also, in future manned missions, it is important to land close to cargo that was previously sent. In this work, a guidance function is implemented and tested for precise landings on Mars, based on a method developed by NASA. In this method, convex optimization is used to create fuel-optimal trajectories that guide the spacecraft from a point A to land on a point B. In this work, it was developed a method for finding the optimal position to trigger the powered descent, a loop for re-optimizing the trajectory and a simple method to take the drag effect into account. A Mars landing scenario was simulated with 1500 different initial states and atmospheric conditions. The algorithm allowed landing with half-meter precision and to save on average 30 % of fuel in comparison with an enhanced Apollo-like guidance function. It was determined with simulations that the introduced methods are viable and robust. The developed function has shown to be able of, autonomously and in real-time, generate fuel-optimal trajectories to land on target.
Actinfo: Information Platform for Physical Activity

This work presents the development and assessment of Actinfo, a new information platform for the management of physical activity (PA) data. Built using a full-stack of open-source JavaScript technologies (MEAN), this platform is both a repository of PA studies and a tool for performing a number of operations on actigraphy ﬁles. Actinfo provides visualizations of relevant statistics from information in PA studies, as well as tools for comparing PA data from different studies. Data in Actinfo is modelled after the FHIR standard for healthcare information exchange, to ensure interoperability with clinical data. To validate the the accuracy of the data processing tools implemented, a comparative study was carried to compare computed PA time indicators and compliance with PA recommendations between two studies: a population of adult patients of type II diabetes, i.e. the study ”D2FIT” (n=73) and a sample of the adult population of the municipality of Lisbon, i.e. the study ”ProjCML” (n=69). It was possible to conclude that a lower percentage of participants in study D2FIT attain sufﬁcient physical activity (18% vs. 35%), and that subjects in this study average lower sedentary times per day (71.89% vs. 72.12% of accelerometer wear time), less time in moderate to-vigorous-intensity PA per day (3.99% vs. 4.88% of accelerometer wear time) and a higher number of interruptions in sedentary behaviour (10.04 vs. 9.64 breaks/hour of sedentary time). In summary, it was possible to achieve a functional prototype of a PA data management platform with good usability.
THE PENNSYLVANIA STATE UNIVERSITY SCHREYER HONORS COLLEGE DEPARTMENT OF BIOCHEMISTRY AND MOLECULAR BIOLOGY METABOLIC ENGINEERING OF SYNECHOCOCCUS SP. PCC 7002 TO PRODUCE ALKANES

Two cyanobacterial alkanes biosynthesis operons, one from Synechocystis sp. PCC 6803 and one from Nostoc punctiforme, were introduced into various sites in the genome of Synechococcus sp. PCC 7002 by transformation. Aldehyde Decarbonylating Oxygenases were produced at high levels in both cases, were active when assayed in vitro, but were shown to be iron deficient. Gas Chromatography coupled to mass spectrometry showed that all four strains were produced alkanes (mainly heptadecane) with the highest yield being 1.387 mg heptadecane/OD730 nm/L. The fact that all strains produced alkanes, while the wild-type strain cannot, demonstrates that the acyl-ACP reductased (AAR) enzyme was also produced and was active in these strains. These results establish a baseline for alkanes production in a robust cyanobacterium and allow for further optimization of alkanes biosynthesis in future studies.