Reviewerly/exHarmony huggingface dataset:
Familiarizing Students with Basic Forms of Stanza in English Poetry

The textural edifice of English poetry is so flexible that the readers can notice various forms of stanza that entail a number of lines of verse forming a separate unit within a poem. The writer collected a certain number of stanzas as studying variables or data from the corpus of English poems composed by diverse poetic personalities. Stanzas are taken through purposive sampling technique. The writer explored and demonstrated the stanzas from the records of poems that worked as sources of data. The writer assumes that it is necessary for the teachers to be familiar and familiarize their students with some basic forms of stanza in English poetry. The analysis of stanza is linked to the stylistic analysis    of a poem. This article is presumed to be useful to teachers and students who crave for teaching and studying English poetry.
The Effectiveness of Extensive Reading in Improving Students’ Vocabulary at Eleventh Grade Students in MAN 2 Pulang Pisau

Vocabulary is one of the essential aspects of language. There are some media uses in teaching vocabulary. One of them is by using extensive reading technique . The researcher interested in this technique and want to prove that using extensive reading technique will improve students’ vocabulary mastery.The formulation of research problem were: How is the students’ ability in vocabulary at the eleventh grade of MAN 2 Pulang Pisau, and is extensive reading technique effective to be applied in eleventh grade of MAN 2 Pulang Pisau.The population in this study were all 11th grade students in MAN 2 Pulang Pisau, with the number of students 91 from all eleven grade students, researchers took from the MIA 1 class with 24 students as the experimental class, and MIA 2 with 24 students as the control class, researchers used purposive samples.To collect data, researchers conducted several techniques such as observation, tests and documents. The data in the study were analyzed using a quantitative approach, starting from determining the mean, standard deviation, homogeneity, normality and U test.The value of students in mastering vocabulary using the extensive reading technique is fair with the final test score of 62.29 while for the class using conventional learning is poor with the test value at the end of 57.50, and the calculation using the u-test shows that the u-test is 0.449 larger from 0.05 (0.449> 0.05) so Ha is accepted and H0 is rejected.
You Are What You Search: Attribute Inference Attacks Through Web Search Queries

Most, if not all, existing attribute inference attacks leverage users’ social friendship information and/or social behavioral information to infer the attributes of a target user. In this paper, we study this problem in a novel angle. Specifically, we study whether a user’s private attributes (e.g., age, gender, and education) can be inferred based on his or her query history, which is the first such attempt to the best of our knowledge. We present a thorough description of our query-based attribute inference attack and experimentally evaluate our method on a real-world dataset provided by Sogou. Experimental results show that our method can achieve 70.21% for the precision, 68.82% for the recall, and 69.50% for the F1-score on average. When predicting users’ gender, the proposed method has precision of 84.56%. This suggests that query records indeed disclose a significant amount of information about users.
Rights for restricted content

Links are omnipresent in the Internet to provide access to otherresources. There is no mechanism to express differences in lawsystems, access limitations, or arbitrary rules defined by the ownerof the linked resource. Therefore links do depend on and enforce acommunist sharing ideology, which ignores the content owner rights.Links may point to resources far away from the originating page,hiding this fact from the customer. It takes the data transportservices for free, internet transit providers on the way from thecontent source to the customers are not extra payed for this effort.In many cases, the remote company generates huge amount of money fromthe customers worldwide not shared with the transit providers. Inorder to get the rights of all involved parties balanced, a new typeof connection initiation is proposed: The Right.
Deprecating MD5 and SHA-1 signature hashes in TLS 1.2

The MD5 and SHA-1 hashing algorithms are steadily weakening instrength and their deprecation process should begin for their use inTLS 1.2 digital signatures. However, this document does not deprecateSHA-1 in HMAC for record protection.
What is the Best Blog Platform? (8 Top Free & Paid 2019 Review)

Before you start blogging, you need to first make a choice between free blog sites, or the paid options. That's what we are going to look into today to find out which of the options is right for you!
Inertia weight analysis in particle swarm optimization for mobile robot path planning

In this study, particle swarm optimization (PSO) was implemented for a mobile robot to generate feasible paths and to investigate the effect of the inertia weight parameter at the rate of convergence. Modification of the obstacles to more complex structures creates a more complex environment for mobile robot navigation. From the simulation, different inertia weight values were tested for two obstacle configurations. The trajectory of the robotic system from the initial to the final point was smoothen using splines. It was found out that for different values of inertia weight, it abruptly or gradually decreases towards minimum distances. The key results for ω  = 1.6 exhibited symmetric trajectories with a minimum distance of 474.97 cm and produced dense paths with length 525.26 cm for the first and second configurations, respectively. This method can be incorporated into existing robotic systems for more accurate, adaptive, and efficient mobile navigation.
Blockchain and Future Monetary System

Conceptual development and practical implementation of blockchain technology resulted in establishment of cryptocurrencies, most notably Bitcoin. Its growing popularity raises the question whether it may become a primary international currency and puts modern monetary system at risk. In this article we investigate Bitcoin on the stands of Austrian economic school and give propositions for institutional framework’s change to address contemporary economic issues and developments. The idea of creation of independent private money is not new. Only recently necessary level of economic development and technological sophistication has been achieved to make this concept practical. Conceptual development and practical implementation of blockchain technology resulted in establishment of cryptocurrencies, most notably Bitcoin. Its growing popularity, capitalization, worldwide diffusion, legal and public debate raises the question whether it may become a primary international currency and puts modern monetary system at risk. In this article we investigate concept of cryptocurrencies on the stands of Austrian economic school and Mises regression theorem to find out whether they may be characterized and treated as a currency. We review Bitcoin, its history and underlying technology, participation scheme that is based on voluntary partaking of miners, whose rewards are not fixed and guaranteed. As a result of our research and prior work we give propositions for institutional framework change to address contemporary economic issues, international and technological developments.
On Possibility of Automatic Generation of Data Files and their Use in Tasks of Descriptive Statistics

The contribution deals with the use of automatic generation of parameterized tasks and the inclusion of automatically generated data files as useful feature of generator. This functionality of the generator is used, for example, in tasks of statistical data analysis. The contribution shows usage when generating a descriptive statistics tasks. The basic principles of preparation of statistical data in both sample and population files are described. Methods of integrating these data into the generated task for different output formats are also explained. Selected group of tasks illustrating the outputs of the application of the described methods are presented. The use of a generator for building a Question bank in LMS Moodle is shown as well as the preparation of writing tests. At the same time, various data files storage options and subsequent use with regard to their lifetime are discussed. In the following, a new solution for the implementation of the automatic generator of parameterized tasks in cloud is introduced. This approach will allow the involvement of more users of the automatic generator.
A Breast Disease Pre-diagnosis Using Rule-Based Classification

The Manual detection of breast disease cannot detect occurrences of potential high risk problem for a patient at the early stage. Since it is a commonly found disease among women, it is critical to overcome the problem as fast as possible. In this paper the design of the proposed Rule Based System will be presented and the symptoms of the breast cancer disease and possible ways to prevent it will be outlined. The proposed Rule Based System was produced to help people to Prevent and early detection breast cancer, because it is known that this disease does not have medication or cure yet. Android and web application are the two platform used in the designing of the proposed ruled based system. The application to breast cancer pre-diagnosis utilizes the features of each highly potential symptoms, obtained from patient perceived condition, to discriminate benign from malignant breast lumps. This allows an accurate pre-diagnosis without the urgency need for a surgical biopsy.
WordPress.com vs WordPress.org: Know the Differences or Suffer!

WordPress.com vs WordPress.org... Is there a difference between the two? Which is better? ​These are some of the most common questions among new bloggers. There's a lot of confusion out there about these two platforms with a lot of ​bloggers choosing one when they could've better used the other, wasting time and efforts building the site. Let's not let that happen to you...
Modeling a Fault Tolerant Control Mechanism for Cloud e-marketplaces using Raft Consensus Protocol (RCP)

The evolution of marketplaces started from the traditional marketplace, the internet marketplace, the web service marketplace, the grid marketplace, before moving to cloud e-marketplace. The need to have rapid access to various service by different customers brought about cloud e-marketplaces. The goal of the cloud e-marketplace is to attract the biggest possible number of buyers while ensuring a reduced waiting time for customers and maximized profit for cloud service providers. Challenges like security, performance and fault tolerance are of great concern in the cloud market. While discussion on the issue of security and performance are ongoing, that of fault tolerance is yet to be fully addressed. Although some researchers have proposed the use of multiple servers in achieving the main idea of the cloud e-marketplace, different kinds of faults still affects the performance of cloud e-market. Balancing of providers’ cost and customers’ waiting time is still a major concern. Various techniques have been proposed in solving these problems. However, these techniques only work in a static environment where these servers can be faulty which may lead to long waiting time. We propose the use of Raft consensus protocol as our fault tolerant approach. We use the dynamic environment as against the already static approached already discussed in the literature. In the dynamic environment, two fault tolerant centers that are capable of surviving failure caused by server overload or congestion are used. These are primary and the reservoir centers. The Raft Consensus Protocol is used in both centers to coordinate the servers and make sure that each of the servers exist either as the leader, a candidate, or a as a follower. A waiting time counter algorithm is developed that directs customers request to the primary center when waiting time t<N, and to the reservoir center when waiting time t≥N. We set up our consumer arrival time, the service time is recorded and our N is set to 5 sec. Furthermore, the result of this research when compared to existing system using various performance metrics showed that the developed mechanism allowed optimal performance in the servers used for cloud e-marketplaces’ service delivery, thereby causing reduced waiting time and increased profit.
The Lighttpd Web Server

Most of the web browsers used today have the same common features; therefore, it’s easy for users to make the transition from using one browser to another. This is an advantage that it is not found on the server side. Web servers are specialized programs, not expected to be used by the average user. Therefore, the graphical user interface (GUI), if the web server is supplied with one, or the commands used at the terminal for configuring and running the server may be completely different from one server to another. In this chapter, you will have the chance to use another open source web server, Lighttpd (called “Lighty”). You will run the server and identify characteristics that you used previously in Apache, like the document root and the virtual servers. Experimenting with a second server will make it easier for you to transition to a third one.
Anyone else missing the address bar in ...

Anyone else missing the address bar in Progressive Web Apps when they are pinned to home?#pwa #webdev
Ontology Based Practical Rule Engine for Internet of Things

In the current technology state of the world, the internet acts as the central hub for all kinds of communication between different nodes. Regardless of the subject, all types of devices now can directly connect to the internet or can connect indirectly by using gateways. All the improvements in connectivity between devices emerged a new concept called the Internet of Things.There is a vast amount of data generated by millions of different devices. These data contain different information about both the environment and the state of devices. The data processing is required to make them understandable or to aggregate new information by combining them.The requirements in any data processes are similar. They only distinguish between each other regarding use-case. However, these differences can be parameterized. Therefore, the programmers only require to configure their system from a high-level perspective. These configurations consist of the information about the user devices, protocols, how data is stored and how data is processed.In this thesis, the configurable rule engine with semantic capabilities is presented. The thesis also introduce how semantic ontologies can be used for the classification of the IoT data. The rule engine uses ontologies and flows to process and to analyze any data that is received. These flows are also self-adaptable with the caching and optimization features. The rule engine can apply flows either on data streams to derive the active state or the data batches to process and to analyze historical data of a device or devices. The resulted rule engine provides an easy-to-use development environment with a high-level configuration in the domain of IoT.Moreover, users can use their use-case specific semantic ontologies to handle the data classification. These high-level configurations can either be done in a user-friendly web interface or through an application program interface. Therefore, a developer can define functionalities regarding the process and the analysis of the data. Also, the challenging gap between high-level design and actual low-level implementation has been covered with the flows and ontologies that are configured by the users to match their design.
Dense In Dense: Training Segmentation from Scratch

In recent years, training image segmentation networks often needs fine-tuning the model which comes from the initial training upon large-scale classification datasets like ImageNet. Such fine-tuning methods are confronted with three problems: (1) domain gap. (2) mismatch between data size and model size. (3) poor controllability. A more practical solution is to train the segmentation model from scratch, which motivates our Dense In Dense (DID) network. In DID, we put forward an efficient architecture based on DenseNet to further accelerate the information flow inside and outside the dense block. Deep supervision also applies to a progressive upsampling rather than the traditional straight-forward upsampling. Our DID Network performs favorably on Camvid dataset, Inria Aerial Image Labeling dataset and Cityscapes by training from scratch with less parameters.
Beginners Blogging Commandments: Rules of Blogging You MUST Know!

Blogging is hot right now, super hot in fact, but not every new blogger will succeed simply because they are not prepared to learn the craft, as well as doing the actual blogging! Want to start your blog the right way? Then follow the 10 beginners blogging commandments!
Comparison of Various Encryption Algorithms forSecuring Data

Data encryption is the process of protecting information. It protects its availability, privacy andintegrity. To write this article we have study about information security using cryptography technique. After theanalyzing different techniques of encryption, we are proposing Advance Encryption Standard (AES). The AEShas the better security compared others encryption algorithm and prevent data from Spoofing. It is very efficientin both hardware and software.
Collective Segment Request Policy of HTTP Adaptive Streaming in Multipath Environments

HTTP (HyperText Transfer Protocol) adaptive streaming has been receiving attention to provide video streaming services efficiently by adaptively adjusting the transmission rate. With the demand of high-quality video streaming, since mobile devices are now equipped with multiple wireless interfaces connected to different networks (3G/4G or WiFi), one possible solution to provide better QoE (Quality of Experience) is to use multipath protocols. In HTTP adaptive streaming system, the player generates an ON/OFF traffic pattern during the steady state. It degrades the bandwidth utilization and the user QoE. In this paper, we propose a collective segment request policy of HTTP adaptive streaming in multipath environments to improve the bandwidth utilization. In our scheme, the player requests a group of segments in periodical interval to reduce the OFF period. We also present the rate adaptation scheme to improve the average bitrate. Through simulation, we prove that our scheme significantly improves bandwidth utilization and increase average bitrate.
Posture Affects Affordance Perception of Reachability in Virtual Reality

Tasks such as walking, reaching, and standing require differing levels of postural stability. Postural equilibrium is necessary to perceive the location of objects (Lee, Pacheco, & Newell, 2018). This study compared affordance (Gibson, 1979) judgements of reachability between tasks that place different constraints on maintaining balance. The method included a 3D virtual reality (VR) environment with a stimulus object placed at different distances from the observer. Using a within subjects design, participants were asked to make judgements on reachability while in a standard stance condition as well as two separate active balance conditions (yoga tree pose, and toe-to-heel pose). Feedback on accuracy was not provided, and participants were not allowed to attempt to reach. Response time, affordance judgments (reachable, not reachable), and head movements were recorded on each trial. Specifically, head movement time series were recorded by harnessing position data from the Oculus Rift VR goggles. Consistent with recent research on reaching ability (Weast & Proffitt, 2018), the reachability boundary occurred around 120% of arm length, indicating overestimation of action capability. Response times increased with distance, and were smallest for the most difficult yoga tree pose, suggesting that in order to maintain a difficult pose, responding had to be sped up. Head movement amplitude and total amount of movements increased with increases in balance demands. Surprisingly, the coefficient of variation was comparable in the two poses that had increased balance requirements, and was more extreme in a less constrained, ostensibly easier pose for the shortest and longest distances, indicating a pose by distance interaction. The insights gathered from this study will provide a fuller understanding of the perception of affordances in everyday tasks such as reaching and grasping.
Análisis y comparación de indicadores de uso de una plataforma de e-learning: estatus

E-status is one of the learning tools used in the subject “Probability and Statistics” of different Engineering programs at UNLaM. Such platform is developed with Open Source technology and allows teachers to create exercises for students to resolve via internet. This software can resolve the exercises automatically and give feedback based on the student´s solution. The present work evaluates platform use indicators and associates them with the students´ final condition at the end of the semester. A positive relationship was observed between platform use and course passing rates. Moreover, we observed greater platform use in the first semester of 2017 as compared to the last semester of 2016.
LibGuides: Automotive Technology & Collision: Websites

Research resources, tips, and support from SCC librarians Links to professional associations & other websites recommended by librarians
Multi-Agent Path Finding on Real Robots

Multi-agent path finding (MAPF) deals with the problem of finding a collision-free path for a set of agents in a graph. It is an abstract version of the problem to coordinate movement for a set of mobile robots. This demo presents software guiding through the MAPF task, starting from the problem formulation and finishing with execution of plans on real robots. Users can design grid-like maps, specify initial and goal locations of robots, generate plans using various abstract models implemented in the Picat programming language, simulate and visualize execution of these plans, and translate the plans to command sequences for Ozobots, small robots developed for teaching programming.