Miracle-dz/UniFAR-FTUs huggingface dataset:
"Embryonic Stem Cell Lines Derived from Human Blastocytes" (1998), by James Thomson

work in deriving embryonic stem cells [6] from isolated embryos. Thomson paper, “Isolation of a Primate Embryonic Stem Cell Line” [7] United , detailing the first derivation of primate [8] embryonic stem cells [6] . the following years, Thomson [5] and his team of scientists—Joseph Itskovitz-Eldor, Sander S. Shapiro, Michelle A. Waknitz, Jennifer J. Swiergiel, Vivienne S. Marshall, and Jeffry M. Jones—advanced their work with embryonic stem cells [6] , eventually isolating and culturing human embryonic stem cells [6] . Their work with human embryos was reported in the 1998 Nature article “Embryonic Stem Cell Lines Derived from Human Blastocysts. ” Thomson [5] and his team derived the human embryonic stem cells [6] (ESCs) used in experimentation from donated embryos originally produced for in vitro [9] fertilization [10] . After informed consent [11] and institutional review board approval, the human embryos were cultured to the blastocyst [12] stage. At this stage the cells are no longer totipotent (able to give rise to a complete organism including the extraembryonic tissues), but they are still pluripotent (able to give rise to all the tissues in the body). to to all cell types, with embryonic stem cells, eventually isolating and culturing human embryonic stem cells. with human Stem Cell Lines Derived from Human Blastocysts. "
Do children behave differently with a social robot if with peers

Having robots interact socially with children is an increasingly relevant goal. We conducted a study with 7-8 year-olds looking at how single and pairs of children interacted with an autonomously acting robot in the context of a collaborative game. A preliminary examination of the interactions reveals a notable difference in how the robot is viewed: in one-on-one interactions with a robot, children appear to be more forgiving of failures in robot social contingencies; however, these deficiencies are not tolerated to the same extent in multi-party interactions.
A Degradable Difunctional Initiator for ATRP That Responds to Hydrogen Peroxide

Mid-chain degradable polymers can be prepared by atom transfer radical polymerization from difunctional initiators that include triggers for the desired stimuli. While many difunctional initiators can respond to reducing conditions, procedures to prepare difunctional initiators that respond to oxidizing conditions are significantly less available in the literature. Here, a difunctional initiator incorporating an oxidizable boronic ester trigger was synthesized over four steps using simple and scalable procedures. Methyl methacrylate was polymerized by atom transfer radical polymerization using this initiator, and the polymerization kinetics were consistent with a controlled polymerization. The polymer synthesized using the difunctional initiator was found to decrease in molecular weight by 58% in the presence of hydrogen peroxide, while a control experiment using poly(methyl methacrylate) without a degradable linkage showed a much smaller decrease in molecular weight of only 9%. These observed molecular weight decreases were consistent with cleavage of the difunctional initiator via a quinone methide shift and hydrolysis of the methyl ester pendent groups in both polymers, and both polymers increased in polydispersity after oxidative degradation.
IMPACT OF Elaeidobius kamerunicus (Faust) INTRODUCTION ON OIL PALM FRUIT FORMATION IN MALAYSIA AND FACTORS AFFECTING ITS POLLINATION EFFICIENCY: A REVIEW

The oil palm pollinating weevil, Elaeidobius kamerunicus , has become the single most important insect pollinator of the commodity crop in Malaysia and Indonesia, 40 years after its introduction. However, in 2020, the average national oil extraction rate (OER) has decreased from 20.21% to 19.92%. The decline was attributed to the lower oil palm fruit bunch quality. This has raised concerns on the pollination efficiency of the pollinator. As such, the factors affecting the pollination efficiency of E. kamerunicus were thoroughly discussed in this review. Eight factors, which were categorised into intrinsic and extrinsic factors, were discussed in detail. Intrinsic factors discussed are the genetic make-up of E. kamerunicus and its population level. Meanwhile, factors such as planting materials, soil types, plant physiological condition, volatiles emission, diseases/predators threatening E. kamerunicus and climatic factors were discussed in the extrinsic factors. Methods for maintaining a healthy pollinator population were suggested, as well as an emphasis on future studies based on the shortlisted factors.
Mobile Text Alerts are an Effective Way of Communicating Emergency Information to Adolescents: Results from Focus Groups with 12‐ to 18‐Year‐Olds

Mobile phone text messages can be used to disseminate information and advice to the public in disasters. We sought to identify factors influencing how adolescents would respond to receiving emergency text messages. Qualitative interviews were conducted with participants aged 12–18 years. Participants discussed scenarios relating to flooding and the discovery of an unexploded World War Two bomb and were shown example alerts that might be sent out in these circumstances. Intended compliance with the alerts was high. Participants noted that compliance would be more likely if: they were familiar with the system; the messages were sent by a trusted source; messages were reserved for serious incidents; multiple messages were sent; messages were kept short and formal.
Effects of varying laser trimming geometries on thin film resistors

Purpose This paper aims to study the effects of varying laser trim patterns on several performance parameters of thin film resistors such as the temperature coefficient of resistance (TCR) and target resistance value. Design/methodology/approach The benefits and limitations of basic trim patterns are taken into consideration, and the plunge cut, double plunge cut and the curved L-cut were selected to be modelled and tested experimentally. A computer simulation of the laser trim patterns has been developed for the modelling process of the resistors. The influence of the trim length and resistor dimensions on the TCR performance and resistance value of the resistors is investigated. Findings It is found that variation in trim length, within the range of 5 to 15 mm, can give significant increases in the TCR of the thin films. Thus, for the plunge cut, TCR can reach up to 11.51 ppm/oC, for the double plunge cut up to 14.34 ppm/oC and for the curved L-cut up to 5.11 ppm/oC. Originality/value Research on the effects of various laser trimming geometries on the TCR and target resistance accuracy is limited, especially for patterns such as the curved L-cut, which is investigated in this paper.
Bio-efficacy of Different Insecticides on Colorado Potato Beetle, Leptinotarsa decemlineata (Coleoptera: Chrysomelidae) in Bamiyan Province, Afghanistan

Potatoes are dominantly cultivated in Bamiyan province and play an important role in food safety inside the country. Colorado potato beetle is a major pest of potatoes that decreases the yield and quality of the potatoes. In this study evaluated the effect of different insecticides on the management of the Colorado potato beetle, Leptinotarsa decemlineata (Coleoptera: Chrysomelidae), in Bamiyan province of Afghanistan. The study was carried out in Kahmard District of Bamiyan province, in 2018. The experiment was laid out in Randomized Complete Block Design (RCBD) using 700 ml/ hectare of imidacloprid SL and 900ml/ hectare of cypermethrin EC, carbaryl EC, deltamethrin EC, and chlorpyrifos SL with three replications. The data were recorded 1 day before the application of each insecticide and at 3, 5 and 7-days intervals post-application. The statistical analyses showed that cypermethrin EC was the most effective in comparison to other insecticides for reducing the Colorado potato beetle population resulting in an increase in yield. Non-treated plots had a significantly higher number of Colorado potato beetle in comparison to insecticide-treated plots. However, no significant difference was seen within the insecticide-treated plots. Insecticide-treated plots had significantly higher yields in comparison to non-treated ones.
Design Optimisation of Surface Mounted Permanent Magnet Synchronous Machine for In-wheel Electric Vehicle Applications

The drive to reduce greenhouse gas emissions through alternative energy resources has been one of the pioneering studies of this century. This has led to a lot of research and innovation in the transportation sector. After nearly a century with the internal combustion(IC) engine dominating this sector, it now appears that the Electric Vehicle Technology is on the edge of experiencing rapid growth in both developed and developing vehicle markets. Hence the research for electric vehicles with efficient drive systems with electric motors, especially Permanent Magnet Motors has received a lot of attention lately. %This increasing interest in PM motors is mainly due to the high energy density of modern permanent magnets along with high Residual Magnetism , high Coercive force and high Curie temperature. In addition to these the cost of Permanent Magnets are decreasing on an average which will make PM motors cost competitive with other motor types. Currently there is a lot of scope of improvements in the field of design of in-wheel motors focusing on higher Power and Torque density. This thesis investigates the opportunities for improvements on an existing design of Surface Mounted Permanent Magnet Synchronous motor(SPMSM) for better performance of Electric vehicles along with detailed comparison of dynamic performance with existing class of motors.
CENTERIS 2013 - Conference on ENTERprise Information Systems / ProjMAN 2013 - International Conference on Project MANagement / HCIST 2013 - International Conference on Health and Social Care Information Systems and Technologies Web Service Integration within Next Generation CEMIS

Abstract This paper presents an implementation of the Corpora te Environmental Management Information Systems (CE MIS) Next Generation platform (the core component) from the IT -for-Green research project. Key personnel from the research and transfer network ERTEMIS (European Research and Transfer network for Environmental Management Information Systems) work in the IT-for-Green project in order to allow companies and their processes becoming more environmental-friendly by means of information processing. In the fram e of this project, the CEMIS Next Generation will be developed, to integrate research concepts of current interest and investigate their feasibility through a prototypical implementation. In this paper we focus on two major components: workflow management system implemented using State Chart XML (SCXML) and green service mall realized as set of standardized Web Services. © 2013 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of CENTERIS/ProjMAN/HCIST.
Intelligent Navigational Strategies For Multiple Wheeled Mobile Robots Using Artificial Hybrid Methodologies

At present time, the application of mobile robot is commonly seen in every fields of science and engineering. The application is not only limited to industries but also in thehousehold, medical, defense, transportation, space and much more. They can perform all kind of tasks which human being cannot do efficiently and accurately such as working in hazardous and highly risk condition, space research etc. Hence, the autonomous navigation of mobile robot is the highly discussed topic of today in an uncertain environment. The present work concentrates on the implementation of the Artificial Intelligence approaches for the mobile robot navigation in an uncertain environment. The obstacle avoidance and optimal path planning is the key issue in autonomous navigation, which is solved in the present work by using artificial intelligent approaches. The methods use for the navigational accuracy and efficiency are Firefly Algorithm (FA), Probability- Fuzzy Logic (PFL), Matrix based Genetic Algorithm (MGA) and Hybrid controller (FAPFL,FA-MGA, FA-PFL-MGA). The proposed work provides an effective navigation of single and multiple mobile robots in both static and dynamic environment. The simulational analysis is carried over the Matlab software and then it is implemented on amobile robot for real-time navigation analysis. During the analysis of the proposed controller, it has been noticed that the Firefly Algorithm performs well as compared to fuzzy and genetic algorithm controller. It also plays an important role inbuilding the successful Hybrid approaches such as FA-PFL, FA-MGA, FA-PFL-MGA. The proposed hybrid methodology perform well over the individual controller especially for pathoptimality and navigational time. The developed controller also proves to be efficient when they are compared with other navigational controller such as Neural Network, Ant Colony Algorithm, Particle Swarm Optimization, Neuro-Fuzzy etc.
The Adoption of Sharia Fintech Among Millenial in Indonesia: Moderating Effect of Islamic Financial Literacy on UTAUT 2

The development of Islamic Fintech in Indonesia shows promising progress. As of April 2021, there are 146 fintech companies. However, this large number of companies is only able to reach 7% of the total population in Indonesia. This study aims to examine what factors that influence the intention to use Islamic fintech in Indonesia by testing the UTAUT 2 theory developed by Venkatesh with the addition of Islamic Financial Literacy as a moderating variable. Data was collected through an online questionnaire adapted from previous research. 30 data from respondents are collected then tested using the SEM-PLS analysis method with the WarpPLS 7.0 and SPSS 24. The test show that Performance Expectancy (PE), Effort Expectancy (EE), Facilitating Conditions (FC), and Price Value (PV) affect Behavioral Intention (BI) positively and significantly. Furthermore, Social Influence (SI) and Hedonic Motivation (HM) show a positive but not significant effect. Likewise, Islamic Financial Literacy as a moderating variable does not affect the relationship between SI and HM to BI
My Cookie is a phoenix: detection, measurement, and lawfulness of cookie respawning with browser fingerprinting

Stateful and stateless web tracking gathered much attention in the last decade, however they were always measured separately. To the best of our knowledge, our study is the first to detect and measure cookie respawning with browser and machine fingerprinting. We develop a detection methodology that allows us to detect cookies dependency on browser and machine features. Our results show that 1, 150 out of the top 30, 000 Alexa websites deploy this tracking mechanism. We find out that this technique can be used to track users across websites even when third-party cookies are deprecated. Together with a legal scholar, we conclude that cookie respawning with browser fingerprinting lacks legal interpretation under the GDPR and the ePrivacy directive, but its use in practice may breach them, thus subjecting it to fines up to 20 million e.
Structure–Function Relationship Studies of Multidomain Levansucrases from Leuconostocaceae Family

Levansucrase LevS from Leuconostoc mesenteroides B-512F is a multidomain fructansucrase (MD-FN) that contains additional domains (ADs) to the catalytic domain. However, the understanding of the effect that these ADs have on enzyme activity remains vague. To this aim, structure-function relationship studies of these LevS ADs were performed by evaluating both biochemical properties and the enzymatic capacity of truncated versions of LevS. Joint participation of the N- and C-terminal domains is essential for stability, activity, specificity, and polymerization processes. Specifically, the N-terminal region is involved in stability, while the transition region plays an essential role in the transfructosylation reaction and polymer elongation. Based on our results, we suggest that ADs interact with each other, adopting a U-shaped topology. The importance of these ADs observed in the MD-FN of the Leuconostocaceae family is not shared by the Lactobacillaceae family. Phylogenetic analysis of LevS AD suggests that MD-FN from Lactobacillaceae and Leuconostocaceae have different evolutionary origins. This is the first study on the structure-function relationship of multidomain levansucrases from the Leuconostocaceae family. Our results point towards the functional role of AD in MD-FN and its involvement in fructan synthesis.
Assessing the value of surface water and groundwater quality improvements when time lags and outcome uncertainty exist Results from a choice experiment survey across four different countries

This report summarizes the main results from a choice experiment survey addressing peoples’ willingness to pay (WTP) for improvements in surface water quality as well as groundwater quality. A particular novel focus is on estimating the extent to which WTP is impacted by the time lags and outcome uncertainties that commonly occur in practice when implementing new policies to improve water quality. The survey is conducted across four different case areas in four different countries, involving responses from more than 3000 respondents. Results generally confirm previous findings that people on average have quite high WTP for improvements in water quality, both in relation to surface water and groundwater. In addition, the results show that the WTPs reduce significantly with increasing time lags and outcome uncertainty in relation to the actual water quality improvements.
Automatic Contradiction Detection in Spanish

This paper addresses the lack of automated contradiction detection systems for the Spanish language. The ES-Contradiction dataset was created and contains examples with two pieces of information classified as Compatible , Contradiction , or Unrelated . To the author’s knowledge, a Spanish-language contradiction dataset is non-existent and therefore, the ES-Contradiction dataset fills an important research gap, given Spanish being one of the most widely spoken languages. Moreover, the dataset built includes a fine-grained annotation of the different types of contradictions in the dataset. A baseline system was designed to validate the effectiveness of the dataset. The BETO transformer model was used to build this baseline system, which obtained a good result to detect the three class labels Compatible , Contradiction , or Unrelated .
The Effect of Dividend Policy on Firms Performance

The central aim of the study was to examine the effect of dividend policy on the firm financial performance of non-financial companies in Pakistan. Data was collected from the annual reports of non-financial companies listed on Pakistan Stock Exchange (PSX) for the period 2010 to 2015. Return on Assets (ROA) and Return on equity (ROE) were used to measure the firm‟s financial performance. Dividend Coverage Ratio (DCR), Dividend Payout Ratio (DPR) and Retention Ratios (RR) were used to calculate Dividend policy whereas debt to equity ratios were used to measure Capital Structure. For analyzing data the panel regression analysis method had been used as a statistical technique wherein a significant positive relationship was found between the firms „performance and the dividend policy, whereas the firm‟s size was in-significant to the firms‟ financial performance. The results showed no connection between capital structure and firm‟s financial performance. The results also showed a significant relation between firm‟s performance and Dividend policy. The firm‟s financial performance was not affected by Size. The second model has found significant impact of leverage on return on equity. which predicts outside debt financing driven by the inside budgetary deficiency, has a lot more noteworthy time arrangement illustrative power than a static exchange off model, which predicts that each firm changes steadily toward an ideal debt proportion. We demonstrate that our tests have the ability to dismiss the pecking request against elective exchange off theories. The factual intensity of some standard trial of the exchange off model is for all intents and purposes nil.
AN EMPIRICAL INVESTIGATION TO ASSESS THE DEBT BURDEN ALONG THE BELT & ROAD INITIATIVE

The purpose of this study is to provide insight into the impact of expected infrastructure investment under the Belt and Road Initiative (BRI) on the debt burden of countries participating in BRI. As a result of Belt and Road debt lending, national debt in some countries is expected to skyrocket. This paper assesses the medium-term debt vulnerability of BRI investments among participant countries. BRI investment debt loans will be fully repaid in the medium term (2012-2026), but the impact on the full growth of BRI-related infrastructure will not be fully exploited. BRI is expected to drive overall growth and nearly one-third of rated BRI recipients will face an increased debt burden.
The Practice of a Method of Self-Study Students Counting in Classrooms Based on Head Detection in Colleges and Universities

In order to solve the problem that it is difficult for students to find self-study classrooms because of the limited classroom resources, combined with the current situation of informatization in colleges and universities, a feasible method of students counting in classrooms based on head detection is proposed. This method first collects the scene images in the classroom at regular intervals based on the existing examination monitoring system, and then uses the offline trained AdaBoost cascade detector to detect the head candidate region in the images. Then, the trained CNN-SVM model is used to further identify the head, and finally the identification results are processed and the number of students in the classrooms is counted. The test and practice show that the query system for the idle situation of self-study classrooms constructed by coordinating the classroom seat capacity, classroom scheduling data and the students counting in the classroom based on the above method can easily query the current crowded degree of the students in the classrooms, which plays a good guiding role for students to find self-study classrooms. The method has strong reference and promotion significance for solving similar problems in other universities.
Network Intrusion Detection System for IIoT Using GRU and Denoising Autoencoder

—This work presents a denoising autoencoder-based anomaly detection model using GRU for intelligent network intrusion detection system. The main aim is to secure an IIoT system because its technologies are shadowed by privacy trade-offs and miserable security concerns. The dataset used is NSL-KDD dataset but it suffers from several inefﬁciencies, one of them is class imbalance issue. This fact made it difﬁcult for classiﬁers to detect some underrepresented attack types resulting in poor accuracy. By combining denoising autoencoder with GRU and testing the method through a simulation, our proposed system is able to outperforms some methods in the existing literature with the highest accuracy.