Miracle-dz/UniFAR-FTUs huggingface dataset:
THE EFFECTS OF POPULATION DENSITY AND COMPOSITION ON VIABILITY IN DROSOPHILA MELANOGASTER

The ability of organisms of a given genotype, relative to that of other genotypes, to transmit their genes to future generations has been shown repeatedly to be a function of the environment in which these organisms develop and reproduce. This ability, the adaptive value of the genotype, may vary markedly from one environment to another or may be quite uniform under a wide variety of environmental circumstances. A striking illustration of this can be found in the work of Dobzhansky and Spassky (1944). These authors investigated the viability, from egg to adult, of a number of genotypes isolated from natural populations of Drosophila pseudoobscura, when the larvae were raised at three different temperatures. While some genotypes showed no difference in larval survival frotm one temperature to another, others showed distinct differences. Thus, one genotype, although lethal at 25.50C. , showed a nearly normal larval survival at 16.50 C. The dependence of the adaptive value of a genotype on the environment should extend to biotic as well as physical factors of the ecology. Indeed, a large portion of ecological research has been devoted to studies on the interrelation of species as well as on the effect of varying population densities within a species. The relative abundance of a species is dependent upon the kind and abundance of other species around it. Moreover, the abundance of a given species at one stage of its life cycle is a function, and often not a simple function, of its abund-
The Experiences of Mothers-In-Law Living With an Immigrant Daughter-In-Law in South Korea

As the growth of international marriages increased, this thematic analysis study focused on mothers-in-law in multicultural families in South Korea. This study explored mothers-in-law‟s experiences of living with an immigrant daughter-in-law in multicultural families in South Korea. This study used thematic analysis of qualitative methods, included 10 mothers-in-law selected from rural areas. The participants‟ attitudes toward the marriage of their son were divided into three stages; “the early stage,” “acceptance of the international marriage,” and “life at present. ” These three stages comprised 5 themes and 14 sub-items. Mothers-in-law living with an immigrant daughter-in-law had many physical illnesses, psychological problems, and they felt guilty or that they had sinned. However, they had no support system. Participants of this study wanted to receive social support and sincere human relationship. In practice, the Korean society needs to change its perception and develop positive attitudes toward multicultural marriages.
Upregulation of intragraft interleukin‐10 by infusion of granulocyte colony‐stimulating factor‐mobilized donor leukocytes

Abstract We examined the effects of granulocyte colony‐stimulating factor (G‐CSF)‐mobilized donor leukocyte infusion (G‐DLI) on facilitation of allograft survival using heart transplantation from DA to Lewis rats that were transiently treated with tacrolimus (2 mg/kg i.m. on day 0). Other DA rats were given G‐CSF (250 μ/kg/day s.c. from days −5 to 0), and isolated leukocytes were infused into Lewis recipients after surgery. Cytokine mRNA levels were quantified by reverse transcription and real‐time polymerase chain reaction. After G‐CSF treatment, leukocytes in circulation increased by 7.6 times and secreted in‐vitro 6.0‐times‐higher levels of IL‐10 after lipopolysaccharide stimulation than did untreated leukocytes. G‐DLI facilitated graft survival dose‐dependently. Significant IL‐10 mRNA upregulation was detected in grafts 24 h after surgery but not in the recipient's heart, spleen, or liver. On day 6, IFN‐γ and IL‐2 mRNA levels were approximately half those of the control levels. Allograft‐restricted IL‐10 upregulation followed by type‐1 cytokine downregulation can be achieved by the use of G‐DLI.
Technological Pedagogical and Content Knowledge (TPACK) of Prospective Early Childhood Islamic Education Teachers

The early childhood teacher candidates have been challenged by the requirement of the content technological, pedagogical and content knowledge (TPACK) in teaching. The teacher candidates are able to manage the contents beyond skilfully using technology to support effective and beneficial learning process. The purpose of this study was to describe the candidates TPACK ability in arranging regular learning process based on “the curriculum 2013. ” A descriptive qualitative method has been employed in which the subjects were the students of the Early Childhood Education Program who have achieved the Micro Teaching Class at the sixth semester 2018/2019 academic year. The TPACK competences was analysed by using Content Representation (CoRe) and Pedagogical and Professionalexperience Repertoire (Paper) . Both CoRe and Paper analysis reveal that the teachers are able to develop 3 to 5 of 11 indicators of the 6 Child Development Aspects. 80% of the teacher showed good ability in choosing the learning strategies. Then, 45% of the teachers found difficulties in creating the effective time. 60% of the teacher can perform a good and right concept in the teaching process, while 40% on them has limitation on knowledge and insight. However, 55% of the teachers could not create an active interaction between the students. This research concluded that the teacher candidates in applying must be focused on material contents and technology usage to attempt to improve teacher professionalism.
"You've Got Your Nice List of Bugs, Now What?" Vulnerability Discovery and Management Processes in the Wild

Organizational security teams have begun to specialize, and as a result, the existence of red, blue, and purple teams have been used as signals for an organization’s security maturity. There is also now a rise in the use of third-party contractors who offer services such as incident response or penetration testing. Additionally, bug bounty programs are not only gaining popularity, but also are perceived as cost-effective replacements for internal security teams. Due to the many strategies to secure organizations, determining which strategy is best suited for a given situation may be a difﬁcult task. To understand how these varying strategies are applied in practice and to understand non-technical challenges faced by professionals, we conducted 53 interviews with security practitioners in technical and managerial roles tasked with vulnerability discovery or management. We found that organizations often struggle with vulnerability remediation and that vulnerability discovery efforts are hindered by signiﬁcant trust, communication, funding, and stafﬁng issues. Based on our ﬁndings, we offer recommendations for how organizations can better apply these strategies.
Magnetic Immunoassays Utilizing Magnetic Markers and a HighT c SQUID

Magnetic immunoassays utilizing magnetic markers and a high-Tc SQUID have been performed. We first showed a design of the SQUID for the sensitive detection of the magnetic signal from the marker, where the spatial distribution of the signal field was taken into account. Using the design, we can obtain the relationship between the magnetization of the maker and the signal flux detected with the SQUID. This relationship is important for quantitative evaluation of the immunoassay. Next, we detected biological materials called IgE with a remanence measurement method, where a marker made of Fe3O4 particles with diameter of 25 nm was used. We showed that 2 atto-mol of IgE can be detected, which shows high sensitivity of the present method.
Using laser scanner and GPR data in geotechnical diagnostics of roads and railways

Thanks to the fast development of data processor speeds and data storage capacity, the use of Non Destructive Testing (NDT) methods, such as Ground Penetrating Radar (GPR) and Laser Scanner (Lidar) technologies, are quickly becoming more and more popular tools among experts for geotechnical tasks in road and railway networks. The greatest benefit of the integrated analysis of laser scanner and GPR data is that, whilst laser scanning can provide an accurate surface model of roads and railways and their surroundings, GPR technology gives additional information about the substructures, subgrade soils and their properties such as moisture content (saturation degree) and moisture susceptibility. This allows engineers to not only detect the root cause of the problem but also to outline the problem area accurately. Finally, time series analysis using these techniques enables a move towards proactive maintenance policies where problems can be remedied as they arise before they turn into serious and expensive ones. This presentation provides an overview of GPR and laser scanner technologies and how they can be used in the different fields of geotechnical and other diagnostics of roads and railways. RÉSUMÉ: Grâce au développement rapide des vitesses de traitement des données et des capacités de stockage, l'utilisation des méthodes de Contrôle Non-Destructif (CND), telles que les technologies de radar à pénétration de sol (GPR) et de scanner laser (Lidar), sont en passe de devenir des outils de plus en plus populaires pour les travaux géotechniques des réseaux routiers et ferroviaires. Le principal avantage de l'analyse jointe du scanner laser et des données géoradar est que d’une part le scanner laser fournit un relevé de surface précis des routes et des voies ferrées et de leur environnement, d’autre part, la technologie géoradar fournit des informations supplémentaires sur les infrastructures, la plate-forme support et leurs propriétés telles que le taux d'humidité. (Degré de saturation) et sensibilité à l'humidité. Cela permet aux ingénieurs de détecter non seulement la cause du problème, mais également de localiser avec précision la zone du problème. Enfin, l’analyse chronologique utilisant ces techniques permettent de passer à des politiques de maintenance proactive afin de résoudre les problèmes dès leurs apparitions et avant qu’ils ne se transforment en problèmes graves et coûteux. Cette présentation fournit une vue d'ensemble des technologies géoradar et des scanners laser et de la manière dont elles peuvent être utilisées dans les différents domaines de géotechnique et autres contrôle des routes et des voies ferrées.
Online Grid Impedance Estimation for Enhancing the Stability of Type IV Wind Turbines Connected to Weak networks

Large scale integration of wind power is one of the main challenges in today power systems. Large off -shore wind farms are usually connected to grids through long transmission lines or cables. These weak grid conditions have great influence on the stability of wind power plant’s operation. This paper analyses the stability issues raised by integrating wind farms into ac network with very weak conditions . The paper also proposes a gain schedule based adaptive controller for the grid side converter to enhance the power system stability at the point of connection. In order to identify the weakness level of the grid to generate the appropriate stabilizing control action an online grid impedance estimation scheme is introduced. The scheme depends on the Extended Kalman-Filter (EKF) to estimate the equivalent grid impedance without the need of active disturbance injection. Using the proposed control scheme the system can operate under very weak grid conditions with higher wind power penetration levels. Simulations under low short circuit ratios are conducted to show the enhanced system stability using the proposed approach.
RELIABILITY OF STOPPING SIGHT DISTANCE DESIGN AT ROUNDABOUTS

The existing stopping sight distance (SSD) design method for roundabouts is deterministic. This means that all of the design variables are predetermined, fixed values. This study presents a probabilistic (Reliability-based) method for the determination of SSD at roundabouts based on an equation recommended by “A Policy on Geometric Design of Highways and Streets” (6th Edition), named as AASHTO Green Book, for calculation of SSD. The reliability based method considers all design variables (design speed, perception-reaction time, and vehicle deceleration rate) as random variables. In this method, correlation of random variables is taken into consideration. Three types of SSD (SSD for approaches, SSD along the circulatory roadway, and SSD for exiting vehicles to the pedestrian crosswalk) are considered in this study. The safety margin is defined as SSD provided by the roundabout geometry minus SSD required based on vehicle and driver performance characteristics. The First-Order Second-Moment (FOSM) and Advanced First-Order Second-Moment (AFOSM) methods were used to model SSD. Once the required SSD are determined, lateral clearance design values were determined based on probabilistic SSD and geometry of roundabouts. The reliability model developed in this study was applied to a roundabout and comparison is made between the results of FOSM, AFOSM, and deterministic methods. The reliability-based SSD design provides designers with the option to choose the level of reliability of their design.
Changes of Nitric Oxide and Nitric Oxide Synthase in Rabbits with Acute Renal Failure

Objective: To observe the changes of nitric oxide (NO) and nitric oxide synthase (NOS) in rabbits with acute renal failure(ARF), and inquire into the effects of NO in the pathogenesis of ARF.Methods:Sixty rabbits were divided into four groups (averaging 15 rabbits in each group). The ARF model group I was copied by hypodermic injection 1% HgCl_2 of 1.3ml/kg, and the ARF mode l group II was copied by intramuscular injection 50% glycerinum of 10 ml/kg. The control group I and Ⅱ were injected by equivalent volume of normal saline. After 24 hours, all rabbits were cannulated to facilitate blood with drawal for serum sample, and making renal homogenate. The BUN and SCr content in serum were determined by Aerosetautomatic biochemical analyzer. And the NO, NOS and inducible nitric oxidesynthase(iNOS) in blood serum and renal homogenate were determined by nitrate reductase method and chemical chromogenic reaction. The total protein(TP) of renal homogenate was determined by biuret reaction. Results:It showed that NO, NOS and iNOS in serum of ARF groupI and II were significantly increased compared with control group Ⅰ and Ⅱ (P0.05～0.01). The NO content in renal homogenate of ARF group I and II was significantly increased compared with control group Ⅰ and Ⅱ (P0.01). Conclusion:The results suggested that NO played a protectiveaction and damage in the pathogenesis of ARE.
Construction of four dimensional chaotic finance model and its applications

This paper considers the transition from hyperchaotic to chaotic with respect to a parameter in four dimensional autonomous nonlinear finance chaotic system. By two methods the boundedness of Four dimensional chaotic Dynamical Finance Model is discussed. First by Lyapunov stability theory combined with the comparison principle method and second by optimization method. Furthermore, lyapunov Exponent calculated using Wolf algorithm and shown graphically. Lyapunov dimension of Dynamic Finance Model also discussed. Finally, we have shown ultimate bound for the a four dimensional dynamical finance model as contained in an ellipsoidal set and Numerical simulations presented to show the effectiveness of the proposed scheme. AMS Subject Classification: 37D45, 39A33, 74H65, 65L70
An Overview of the State of the Art and Applications of Sintered Metals

Sintering is a process of manufacturing materials from the powered form. It is employed in manufacturing metals of high melting points to save costs. This paper presents an overview of the process and highlights the applications of metals produced by this process.It investigates the history of the process, highlights its fundamental stages, enumerates the current state of the art, discusses the applications of metals produced from the process and makes forecasts about the future of the process. The traditional types of sintering discussed include pressure sintering, liquid phase sintering and electric current assisted sintering while the areas of applications discussed are general machinery, automotive industry, medicine, jewellery and acoustics. Finally, it is predicated that the range of applications of the process or metals produced therefrom is bound to expand going forward.
A Fine-Grained Understanding of Job Discourse on Twitter

A healthy work-life balance is essential for every individual. Nowadays people often tweet about their personal and professional lives on social media website like Twitter. This includes their positive and negative experiences at the workplace. We discuss developing a strategy for such job-related tweets to determine about their job-related life transitions. Also, we aim at building tool which extracts such job-likely tweets from a stream of tweets and labels them online.
Current Workflow for Seismic Facies Identification and Characterization in the Miocene Carbonates of the Gulf of Papua and the Eastern Fold Belt of Papua New Guinea

*Adapted from extended abstract based on oral presentation given at 2020 AAPG Asia Pacific Region, 1st AAPG/EAGE PNG Geoscience Conference & Exhibition, PNG’s Oil and Gas Industry Maturing Through Exploration, Development and Production, Port Moresby, Papua New Guinea, February 25-27, 2020 **Datapages © 2020. Serial rights given by author. For all other rights contact author directly. DOI:10.1306/42527Sowei2020
A Tale of the Weaknesses of Current Client-side XSS Filtering

Cross-Site Scripting (XSS) is one of the most severe security vulnerabilities of the Web. With the introduction of HTML5, the complexity of Web applications is ever increasing and despite the existence of robust protection libraries, Cross-Site Scripting vulnerabilities are nowadays omnipresent on the Web. In order to protect end users from being exploited, browser vendors reacted to this serious threat by outfitting their browsers with client-side XSS filters. Unfortunately, as we had to notice, the currently provided protection is severely limited, leaving end-users vulnerable to exploits in the majority of cases. In this paper, we present an analysis of Chrome’s XSS Auditor, in which we discovered 17 flaws, that enable us to bypass the Auditor’s filtering capabilities. We will demonstrate the bypasses and report on a tool to automatically generated XSS attacks utilizing the bypasses. Furthermore, we will report on a practical, empirical study of the Auditor’s protection capabilities in which we ran our generated attacks against a set of several thousand DOM-based, zero-day XSS vulnerabilities in the Alexa Top 10.000. In our experiments, we were able to successfully bypass the XSS filter on first try in over 80% of all vulnerable Web applications.
Research on Fatigue Damage in High-Strength Steel (FV520B) Using Nonlinear Ultrasonic Testing

In view of the early fatigue damage of high-strength steel FV520B, a nonlinear ultrasonic detection was performed on two types of fatigue samples using nonlinear Lamb waves. The experimental results indicated that the ultrasonic nonlinear parameter is highly sensitive to early fatigue damage in high-strength FV520B. For plate specimens, the ultrasonic nonlinear parameter increased with the number of fatigue cycles. Scanning electron microscopy (SEM) observations of the fatigue specimens revealed that as the number of fatigue cycles increased, the microstructure of the material gradually deteriorated, and the ultrasonic nonlinear parameter increased. For notched specimens, the ultrasonic nonlinear parameter increased as the size of the main crack increased. SEM observations of the fracture indicated that the ultrasonic nonlinear parameters were more consistent with the equivalent microcrack length (defined as the sum of microcrack lengths in the statistical area), as compared with the length of the main crack. It was determined that the nonlinear effect of the Lamb wave is related to the equivalent microcrack length inside the material and that the ultrasonic nonlinear parameter can effectively characterize the fatigue damage state of high-strength FV520B.
Laboratory Sands and Natural Siliciclastic Sandstones: Implications for the Behaviour of Reservoirs*

A lack of understanding in behavioural differences between sands and sandstones has led to confusion on how to approach and predict the behaviour of sandstone reservoirs, particularly those that are unconsolidated or located at shallow depths. While the geotechnical community has long dealt with the problems of sands, primarily focused on laboratory testing, the petroleum industry has a wealth of geological data from around the world. By plotting this data, the properties of laboratory sands are compared and used as a framework to assess the in situ state and behaviour of natural siliciclastic sandstones.
MATLAB Implementation of Efficient Data Encapsulation Technique using Stereoscopic Depth Map Estimation

: Video is the kind of multimedia that is turning out to be progressively prominent in the field of art, education, entertainment, engineering, medicine, scientific research and spatial temporal applications. The presence of depth in 3D video makes it different and more helpful than its 2D counterpart. 3D video broadcasting is still miniscule compared to 2D due to complexity in 3D content production. To conquer this complexity, an automatic technique to transform a monoscopic input video into a stereo for 3D visualization is proposed in the literature. The technique depends on evaluating the global depth from the 2D video followed by depth based rendering to generate its 3D version. This paper addresses the MATLAB implementation of stereoscopic depth map estimation and use of stereoscopic video as a cover media in data encapsulation. The implementation incorporates RDH technique involving LSB substitution and DWT to recuperate the lossless cover video after the extraction of secret message.
NARX-SP NEURAL NETWORK MODELS FOR AIR QUALITY PREDICTION FOR THE 24TH AND 48TH HOUR AHEAD

Neural networks are important method of machine learning that can be used to predict air quality with high accuracy. Using NARX-SP neural network type, several neural network models are developed to predict concentration of air pollutants in Sarajevo for two prediction cases, for 24th and 48th hour ahead, with different combinations of inputs and outputs. The data used in this paper contain hourly values of meteorological parameters (air humidity, pressure and temperature, wind speed and direction) and concentrations of SO2, PM10, NO2, O3 and CO from 2016 to 2018. Optimal models are selected for both prediction cases. It is concluded that the optimal models have very good performances and can be used to predict concentration of pollutants in Sarajevo with great accuracy and contribute to improve quality of life. By adequate application of optimal models, concentration of air pollutants can be predicted for each hour over the next 48 hours.
A Certain Investigation on Cluster Based Medium Access Control and QoS Aware Routing Protocol for Heterogeneous Networks

— Clustering is a process to subdivide the sensing field of sensor network into number of clusters. Each cluster selects a leader called cluster head. A cluster head may be elected by the sensor node in the cluster or pre assigned by the network designer. Optimized Clustering can save lot of energy in the network. In our paper we have surveyed various clustering protocols for wireless sensor networks and compared on various parameters. The performance of the IEEE 802.11 MAC protocol has been shown to degrade considerably in an ad hoc network with nodes that transmit at heterogeneous power levels. We conclude that the schemes together offer a simple yet effective and viable means of performing medium access control and QOS scheduling techniques in heterogeneous networks.