Reviewerly/exHarmony huggingface dataset:
Estimation of the error of the results of indirect measurements of some quantities

The basic mathematical provisions that determine the necessary and sufficient conditions for the application of the method of linearization of nonlinear functions of random arguments in the evaluation of errors of the results of indirect measurements are considered, and the need to present the assessment of the arising systematic component of the error and the degree of approximate representation of functions is noted. Within the framework of the necessary and sufficient conditions for the expansion of an arbitrary function into a Taylor series, a new analytical formula for the approximation of a nonlinear function in the form of a quotient of independent random arguments is obtained, which allows to exclude the questions of refinement of the results by adding terms to the Taylor series and estimating the degree of approximation of a nonlinear function by the values of the corresponding residual terms when evaluating the errors of indirect measurements. It is shown that the obtained new approximation for the replacement of such a function allows us to determine the practical conditions under which to estimate the errors of the corresponding results it is possible to use known, and quite simple, formulas for estimating the absolute and relative errors without preprocessing the results of direct measurements.
An Approach to End to End Anonymity

We introduce a novel methodology which is censorship resistant from the deep packet inspection by the censors or ISP and fortified by malicious exit nodes using VPN technology. To achieve this, we have done the survey to collect data about the preferences they sought with TOR privacy, security and performance. And depending upon that, we categorize the threat model and the respective security model. Using simulation, we validate the following security models and we believe that as high-speed anonymity networks become readily available the aforementioned security model based on threat models will prove significant and compelling.
Rancang Bangun Aplikasi Penilaian Kinerja Pegawai Yayasan Pusdiklat PAL Indonesia Surabaya Menggunakan Spiral Model

Employee performance assesment is an important activity in an institution to measure the merits of it’s employee performance. Yayasan Pusdiklat PAL Indonesia is an institution that always assesses the performance of its employees in a certain period with the aim of evaluating, appreciating and motivating the performance of its employees. The employee performance assessment process carried out by Yayasan Pusdiklat PAL Indonesia is assessed by his superiors and also by other employees. The research method used in developing application of employee performance assesment at Yayasan Pusdiklat PAL Indonesia is spiral model. In the spiral model, the application development does not conducted directly in full of the needs of the application being developed, but the application will be developed in stages using a prototype. Employee performance assessment applications that are built using the Codeigniter Framework and spiral model are able to produce applications that run well, because it goes through several stages of testing and improvement. The more testing, especially by involving the user, Yayasan Pusdiklat PAL Indonesia and the improvements made will result in a better system or application. Keyword : spiral model, Employee performance appraisal applications, codeigniter, framework
Library Guides: Shared Library Services Platform project: Changes to Search

A change is coming to search, including the Libraries catalog and databases. Learn more about the project and what to expect.
MENTOR'S STRATEGIES IN MOTIVATING STUDENTS OF ENGLISH AT SANGGAR KEGIATAN BELAJAR (SKB)

This research processes one objectives. First is to describe how do the English mentor’s give the motivation strategies to the students is in packet B a nd packet C. responses for the English teacher motivating. This research is a descriptive qualitative research. Data sources of this research are the English mentor. The researcher conducted observation and interview to collect the required data. In validating the data, the researcher used data source triangulation by comparing the result of observation, interview. This research is analyzed by using Miles and Huberman’s interactive model of data analysis including reducing the data, displaying the data and taking conclusion and verification. Based on the research finding in the result of observation, interview and document. It can be concluded that the strategies of the English mentor to increase motivation in teaching English are giving praise, subtle ridicule, giving suggestion, playing motivation videos are extrinsic motivation (based on the source of motivation) and instrumental motivation (based on the purpose). Many students have good response for the English mentor in motivating their students in learning English.
Discussion on the Construction of Special Education Informatization Environment and Its Development and Application

At present, China's education is in a vigorous development stage, special education as part of China's education should be taken seriously. In order to promote the development of special education in China, information construction should be put on the agenda. Nowadays, there are some problems in the informatization of special education in China. In order to ensure the stable development of special education schools, all sectors of society need to make unremitting efforts. Based on the information environment construction of special education, this paper analyses the current situation of its application.
Design of Smart System for Detecting Proximity of Obstacles at Acute and Obtuse Angles

The present paper describes an archetype capable to detect obstacles not only at right angle, but can also detect with acute and obtuse angles also. Along with ultrasonic sensor, servo motor is included for rotational purpose in the line-of-sight upto a wider range which makes the system smart. Optical signal mechanism is associated with the embedded system in order to indicate the proximity of the target, which can help to understand the importance of possible collision for moving object even in presence of noisy environment. Results can further be improved with association of GSM module which can enable text messaging service to establish the important of closeness between the source and obstacle.
Half Truths and Rant Against ECO Paradigm by Chandra Prakash

One Chandra Pakash of unknown affiliation has publised his maiden preprint (vixra.org/abs/2001.0501) entitled: ``Abhas Mitra and Eternally Collapsing Objects: A Review of 22 Years of Misconceptions[1]. Although there are 20 odd peer reviewed journal papers on various aspects of the ECO paradigm Prakash cites only one old paper[2] and claims to have debunked the entire research by Mitra, Leiter, Robertson and Schild spread over almost 15 years. He even uploaded a 9 min youtube video not only ECO paradigm by me as a physicist. Incidentally, he happens to be one my FB friends, and had casually raised a few points. He appeared to be satisfied with my clarifications, and never told me that he had already written a preprint debunking the ECO paradigm. While it is likely that one of the 20 odd related papers is invalidated, the results and conclusions behind ECO paradigm remain firmly established by series of independent papers. In fact the conclusion that a collapsing massive star should turn into an ultra-hot ball of magnetized plasma (ECO, MECO) follows from 5 papers: 1 in Physical Review (D), 2 in MNRAS Letters, 1 in MNRAS and 1 in New Astronomy {3,4,5,6,7,8}; and this result is valid irrespective of any mathematical proof for non-existence of finite mass true black holes. Incidentally, the maiden proof that a true mathematical Schwarzschild black hole should have zero gravitational mass was given by L. Bel in 1969 (Bel, JMP 10, 1051, 1969)[9], three decades before I independently suggested the same result.
A STUDY ON CRYPTOCURRENCY AND CRYPTO INSURANCE

Cryptocurrencies are a recent fad which has created a great rapport in the world economy, it hasbeen the talk of the town since the price of the bitcoin boomed to a really high level. Cryptocurrencybeing a highly volatile medium of exchange due the fact that it is not based on bullions. So, itsinsurance becomes a real deal. In this article researchers made a detailed survey on blockchains,mining based on bitcoins, and its insurance.
Critical success factors of continuous practices in a DevOps context. In A. Siarheyev, C. Barry, M. Lang, H. Linger, & C. Schneider (Eds.), Information Systems Development: Information Systems Beyond 2020 (ISD2019 Proceedings) Toulon, France: ISEN Yncréa Méditerranée.

Context: Software companies try to achieve adaptive near to real-time software delivery and apply continuous practices in a DevOps context. While continuous practices may create new business opportunities, continuous practices also present new challenges. Objective: This study aims to aid in adopting continuous practices and performance improvements by increasing our understanding of these practices in a DevOps context. Method: By conducting a systematic literature review we identified critical success factors on continuous practices and grouped the found factors. This led to the construction of our initial framework. We started to validate the critical success factors in this framework in a DevOps context by conducting a first pilot interview. Results: We developed an initial framework of critical success factors and conducted a pilot interview to make a first step to validate the framework. Some factors were confirmed and clarified i.e., enriched, on the basis of the retrieved information. In future work we will strive at further validation of the framework. Conclusions: We took a first step to validate our framework and retrieved valuable information, which is promising to take the next steps for further development of the framework.
Automated Software Measurement Strategies Elaboration Using Unsupervised Learning Data Analysis

The software measurement becomes more complex as well as software systems. Indeed, the supervision of such systems needs to manage a lot of data. The measurement plans are heavy and time and resource consuming due to the amount of software properties to analyze. Moreover, the design of measurement processes depends on the software project, the used language, the used computer etc. Thereby, to evaluate a software, it is needed to know the context of the measured object, as well as, to analyze a software evaluation is needed to know the context. That is what makes difficult to automate a software measurement analysis. Formal models and standards have been standardized to facilitate some of these aspects. However, the maintainability of the measurements activities is still constituted of complex activities. In our previous work, we conducted a research work to fully automate the generation of software measurement plans at runtime in order to have more flexible measurement processes adapted to the software needs. In this paper we aim at improving this latter. The idea is to learn from an historical measurements for generating an analysis model corresponding to the context. For that we propose to use a learning technique, which will learn from a measurements dataset of the evaluated software, as the expert does, and generate the corresponding analysis model. The purpose is to use an unsupervised learning algorithm to generate automatically an analysis model in order to efficiently manage the efforts, time and resources of the experts. This approach is well implemented, integrated on an industrial platform and experiments are processed to show the scalability and effectiveness of our approach. Discussions about the results have been provided.
Robots going rogue

Star Trek's new spin-off explores what happens when tech backfires, finds Simon Ings
Digital twins and image analysis for the morphological characterization of granular

Industrial processes involving granular media (population of particles: powders, crystals, fibers, etc.) are numerous and present in variousindustrial contexts (pharmaceuticals, nuclear, materials, agronomy, etc.). The geometric characterization of such particles has always been an issue, either to improve knowledge or to control the process with online property measurement if possible. For this purpose, the acquisition of 2-D images allows a direct visualization of the projected particles that needs to be exploited. One of the major problems is the superposition of particles, a consequence of the projected view. From such data, advanced image processing and analysis methods can be used to individualize and characterize particles (size, shape, spatial dispersion, etc.). However, these methods are not very effective when the granular medium is dense enough. To overcome this limitation, methods based on random (or stochastic) geometry provide digital twins to model and characterize these images of granular media. Synthetic images of granular media are simulated and statistically fitted to real data. The morphological characterization of the particles is then indirectly accessible. These different advanced methods of image analysis and stochastic geometry therefore provide digitaltools for characterizing the morphology of granular media (a task that is generally difficult to perform with conventional methods). Our work should therefore lead to new online characterization tools, based on images processed by new algorithms that provide additional information to traditionalmethods, including shape factors.
Estrategia para el aprendizaje de matemática mediante el uso de TIC en noveno grado

Abstract The problem which led me to search about this research is: How to improve Mathematicslearning, through the use of ICT in students of ninth grade basic general education at Calderon2 Fiscal Educational Institution? Therefore, the purpose of this research is to develop a strategyto improve mathematical learning using ICT in ninth grade. It was analyzed the opinion of theauthors who have expressed their technical postulates on strategy and ICT for the learningprocess. This research was based by a methodology with a mixed approach, which is based onthe collection of information through a survey of students and teachers in the case study, whoagree with the insertion of ICTs to improve mathematics learning, as the need for a strategy thathelps both students and teachers in the learning process. The insertion of ICT in the educationsystem is a strategy that allows students to expand their knowledge in the best way, learn at theirown pace and have autonomous and meaningful learning, thus encouraging the constructivistpedagogical model. It is concluded that the use of exelearning is a strategy that allows toimprove Mathematics learning, since it is a free educational software, the activities and thefunctionality of the tool allows the student to build their Mathematics knowledge based onobservation and practice, and be motivated by interaction. Keywords Strategy, mathematics, ICT (Information and Communication Technologies), pedagogicalmodel, teaching process - learning.
Libertà di ricerca scientifica e parusia della dignità umana (a proposito dei limiti alla sperimentazione sull’embrione)

Provided in the theoretical constitutional model, the freedom of scientific research has gone over time towards a gradual metamorphosis in concrete case-law experience: initially, in an “individual” sense, moving from a mere demand of the individual in an omissive sense to a real request of positive behaviour of the State. However, the freedom of scientific research has received a decisive push in the direction of the gradual achievement of a collective dimension, mainly from the therapeutic revolution, first, and from the biological one, after (even if in the constitutional case-law this evolution has begun to be seen already starting from the decisions on experimental anticancer therapies). With the delicate balancing between the collective interest in scientific research and other needs worthy of protection, nevertheless, the Constitutional Court has specifically dealt only very recently with regard to experimentation on supernumerary embryos. In particular, on that occasion, the dignity of the embryo, on the one hand, seems to strengthen its protection for the future, but on the other hand, seems to be even contradictory (especially with regard to other precedent decisions).
The Practical Strategies of English Translation Education under the Theory of Functional Translation

At Present, in Order to Adapt to the Global Economic Integration and Promote the “One Belt and One Way” Economic Development, China Needs a Large Number of Translation Talents to Participate in the National Construction and International Integration. College English Translation Teaching is the Cradle of Training Translation Talents, and it is Incumbent on Us to Undertake This Task. Based on the Research of Functional Translation Theory, This Paper Discusses the Research and Practice of Functional Translation Theory on College English Translation Teaching for Non-English Majors from the Perspective of Research Significance, Application Prospect and Specific Research Content and Methods.
The expansion of modern commercial whaling and the Antarctic whaling in Nazi Germany

1873년 독일은 북극해에서의 포경을 포기했다. 이후 포경산업은 노르웨이와 영국이 현대식 상업포경 기술을 발전시키면서 전 세계의 바다에서 고래를 잡아들였다. 1차 세계대전 기간 동안 고래 기름은 니트로글리세린의 원료로서 뿐만 아니라 중요한 지방공급원으로 자리 잡았다. 특히 고래 기름은 가장 중요한 마가린 생산원료로 이용되었다. 저렴한 고래유를 원료로 생산된 마가린은 독일인들의 중요한 지방공급원으로 자리 잡게 된다. 대공황 이전까지 독일은 가장 많은 고래유를 수입해 마가린을 생산하는 국가가 되었지만, 고질적인 지방부족에 시달리고 있었다. 식량의 자급자족과 군비확장을 목표로 하는 나치정권의 정책에도 불구하고 독일인들의 식량문제는 해결되지 못했다. 군비확장 우선정책에 밀려 식량의 자급자족 정책은 실효를 거둘 수 없었다. 무엇보다도 지방의 자급률은 50% 선을 겨우 넘기는 수준이었다. 노르웨이의 고래유 수입에 전적으로 의존하고 있던 독일 마가린 산업을 중심으로 외환절약과 독자적인 고래유 공급을 확보할 목적으로 남극해 포경선단을 만들어 본격적인 현대식 상업포경을 시작했다. 1936년부터 1939년까지 독일은 7개의 남극해 포경선단을 만들어 노르웨이, 영국, 일본과 함께 세계 4대 포경국가가 되었다. 2차 세계대전의 발발로 중단된 나치 독일의 남극해 포경은 패전과 함께 종말을 고하고 말았다. 나치 독일의 남극해 포경이 목적했던 외환절약이나 지방의 자급자족은 실패하고 말았지만, 1930년대 말 나치 독일에 의해 본격화된 남극해에서의 현대식 상업포경은 전후 일본, 노르웨이, 영국, 네덜란드, 소련 등과 같은 국가들에 의해 더욱 확대되었다. 그리고 남극해의 고래는 멸종위기종이 될 때까지 남획되었다. 1980년대 말부터 세계적으로 포경이 금지되었지만 여전히 노르웨이와 아이슬란드, 그리고 최근에 일본이 상업포경을 재개했다.In 1873 Germany gave up the arctic whaling. Since then, the norwegian and the english whaling industries with advancing modern commercial whaling technology have caught whales from all over the oceans. During the First World War, whale oil became an important raw material of edible fats as well as of nitroglycerin. In particular, whale oil has been the most important raw material of margarine production. Thanks to the cheap price of whale oil, Margarine has become an important source of fat for the Germans. Until the Great Depression, Germany was a major fat importer on the european whale oil market, but suffered from chronic shortages of fats. Despite the Nazi regime s policy of expanding food self-sufficiency and armament, German food problems were not resolved. The autarky policy of food was ineffective due to the military expansion priority policy. Above all, the german self-sufficiency rate of fats in the early nazi times was just over 50%. Focusing on the German margarine industry, which relyed entirely on norwegian whale oil imports, antarctic whaling fleets were launched for the purpose of securing minimal foreign currency and independent whale oil supply. From 1936 to 1939, Germany with her seven antarctic whaling fleets became the world s fourth largest whaling nation after Norway, Great Britain and Japan. But nazi german antarctic whaling was broken off in the wake of the outbreak of World War II and ended finally with the defeat of the war. Nazi German plan for the saving of foreign currency and self-sufficiency of fats through the antarctic whaling failed, but modern commercial whaling in the antarctic, which was full-fledged by Nazi Germany in the late 1930s, was followed after the second world war by countries such as Japan, Norway, the UK, the Netherlands, and the Soviet Union. Further expanded by them. And whales in the antarctic sea were overfished until they became a globally endangered species. Commercial whaling has been banned worldwide since the late 1980s, but Norway, Iceland and Japan have recently resumed commercial whaling.
Prediction of Robot Welding Damages with Markov Chain

Mathematical modeling is widely used by researchers in interpreting various events into mathematical language. There are several methods included in mathematical modeling including neural networks, naive bayes, monte carlo and markov. From some of these methods used in predicting future events. For example, Markov chain is used to predict hospital users, rain and population movements. So in this research, the authors try to use Markov Chain method to predict the damage that robots welding experiences in the coming year. Since there is no description of the damage that will occur, a prediction is needed to get a picture of the damage. In this study, a calibration process is also presented to get an error value between the predicted results and their actual results. The error value of the calibration process is a reference in determining the error value of predicted results for the coming year.
Anomaly Detection by Latent Regularized Dual Adversarial Networks

Anomaly detection is a fundamental problem in computer vision area with many real-world applications. Given a wide range of images belonging to the normal class, emerging from some distribution, the objective of this task is to construct the model to detect out-of-distribution images belonging to abnormal instances. Semi-supervised Generative Adversarial Networks (GAN)-based methods have been gaining popularity in anomaly detection task recently. However, the training process of GAN is still unstable and challenging. To solve these issues, a novel adversarial dual autoencoder network is proposed, in which the underlying structure of training data is not only captured in latent feature space, but also can be further restricted in the space of latent representation in a discriminant manner, leading to a more accurate detector. In addition, the auxiliary autoencoder regarded as a discriminator could obtain an more stable training process. Experiments show that our model achieves the state-of-the-art results on MNIST and CIFAR10 datasets as well as GTSRB stop signs dataset.
Using NMAP for Data Collection in Cloud Platform

Cloud computing provides on-demand services over the Internet using methods that manages the amount of virtual storage. The key features of cloud computing are that user has no expensive IT infrastructure and the cost of their services is lower. Today, cloud computing integrates with industry-leading companies and other domains, encouraging the researcher to look for new technologies for advanced cloud computing. We discussed the basic features of cloud computing, security issues, threats and their solutions. It also describes several key cloud-related topics: cloud architecture structure, service and deployment model, cloud technologies, cloud security concepts, threats and attacks. In addition, Denial of Service Attacks, an emerging threat for large cloud infrastructures, discuss many open search issues related to cloud security. And a collaborative model consists of the Intrusion Detection and Prevention System functions based distributed IDS and IPS, with the use of a hybrid detection technique for addressing the problems of attacks encountered, specifically distributed attacks such as port scanning attacks and distributed internally established within a Cloud Computing environment.