Reviewerly/exHarmony huggingface dataset:
Engineering study on oriflame cosmetic

In this modern era are so many beauty products on the market ranging from legal and illegal, many also now servicing beauty clinics and doctors growing beauty with sophisticated tools. Oriflame became one of the beauty products that exist in Indonesia trying to offer products that are natural and provide business opportunities with cosmetic. Oriflamme cosmetic is one beauty product that is widely used in Indonesia because of this cosmetic can be used for all skin types especially for tropical areas such as material natural Indonesia.kosmetika from Sweden. Some ingredients of cosmetics Oriflame among blueberry, horse chestnut, yarrow, iris, palm, birch, cloudberry, apples and so forth. Oriflamme itself not only produce cosmetic to be marketed but Oriflame also provides land for business in Oriflame, so as a member of Oriflame not only able to use the product also can take advantage of the opportunity to become a career.
Detection of Main Rock Type for Rare Earth Elements (REEs) Mineralization Using Staged Factor and Fractal Analysis in Gazestan Iron-Apatite Deposit, Central Iran

Gazestan magnetite-apatite deposit is located in Central Iran and Bafq region, which has been occurred in form of veins, veinlets, and small apatite lenses as well as magnetite in metasomatic rock types such as green chlorite-actinolite rock units. These rocks are situated in the carbonate-volcanic complex of Upper Precambrian-Lower Cambrian Rizo formation. In this study, staged factor analysis and Concentration-Number (C-N) fractal model were used based on core samples for determination of main rock type for Rare Earth Elements (REEs) mineralization. Hence, after normalizing the data by staged factor analysis, the target factors were determined and the factorial map was generated using the C-N fractal modeling. The results showed that the first factor of the sixth step (F1-6) is contained of the REEs with phosphorous. Afterwards, results obtained by the C-N fractal method on the F1-6 indicated that there are five populations for REEs which are compared with different lithological units by evaluation matrix. The evaluation matrix confirmed the compliance of magnetite-apatite units with the high values of mineralization factor. The REEs were accumulated in magnetite-apatite units based on highest Overall Accuracy (OA).
Reading Problems among Primary School Remedial Pupils in One of Miri, Sarawak

Reading is a difficult skill to be mastered by children mainly remedial students prone to problems in basic reading skill. Remedial students are students with learning disabilities who have been selected to attend the Remedial Programme in their schools. This study was conducted to identify the problems faced by these students in mastering basic reading skill. Basic reading skill that is the focus of this article is the open syllables words; Consonant Vowel Consonant Vowel (KVKV). This study aimed to identify the main problems faced by students in reading open syllables words (KVKV). The study was conducted in one elementary school in the district of Miri, Sarawak involving 30 pupils in year two from remedial class. Data were collected through Diagnostic Tests, observations and interviews in the study group. The study found that the main problems were; students do not understand the basic concepts of reading clearly and the lack of motivation among the students. This study is expected to help teacher in particular remedial teachers in helping students overcome reading recovery KVKV word. To improve the reading skills of pupils, the study recommended that remedial students are taught by a variety of teaching strategies such as inserting games or songs in their teaching and learning in order to cultivate their interest in reading. Teachers are also advised to constantly motivate the students so that they are eager to learn the skills of reading.
Optimization and learning of quantum programs

A programmable quantum processor is a fundamental model of quantum computation. In this model, any quantum channel can be approximated by applying a fixed universal quantum operation onto an input state and a quantum `program' state, whose role is to condition the operation performed by the processor. It is known that perfect channel simulation is only possible in the limit of infinitely large program states, so that finding the best program state represents an open problem in the presence of realistic finite-dimensional resources. Here we prove that the search for the optimal quantum program is a convex optimization problem. This can be solved either exactly, by minimizing a diamond distance cost function via semi-definite programming, or approximately, by minimizing other cost functions via gradient-based machine learning methods. We apply this general result to a number of different designs for the programmable quantum processor, from the shallow protocol of quantum teleportation, to deeper schemes relying on port-based teleportation and parametric quantum circuits. We benchmark the various designs by investigating their optimal performance in simulating arbitrary unitaries, Pauli and amplitude damping channels.
A Blockchain-Assisted Hash-Based Signature Scheme.

We present a server-supported, hash-based digital signature scheme. To achieve greater efficiency than current state of the art, we relax the security model somewhat. We postulate a set of design requirements, discuss some approaches and their practicality, and finally reach a forward-secure scheme with only modest trust assumptions, achieved by employing the concepts of authenticated data structures and blockchains. The concepts of blockchain authenticated data structures and the presented blockchain design could have independent value and are worth further research.
Enrico Bonadio <i>and</i> Nicola Lucchi, Non‐Conventional Copyright, Cheltenham: Edward Elgar Publishing, 2018, 520 pp, hb £130.00.

The Modern Law ReviewVolume 82, Issue 6 p. 1192-1197 REVIEWS Enrico Bonadio and Nicola Lucchi, Non-Conventional Copyright, Cheltenham: Edward Elgar Publishing, 2018, 520 pp, hb £130.00. Poona Mysoor, Poona Mysoor Faculty of Law, University of OxfordSearch for more papers by this author Poona Mysoor, Poona Mysoor Faculty of Law, University of OxfordSearch for more papers by this author First published: 27 June 2019 https://doi.org/10.1111/1468-2230.12453 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Volume82, Issue6November 2019Pages 1192-1197 RelatedInformation
PENENTUAN NILAI AMBANG BATAS SEBARAN PARETO TERAMPAT DENGAN MEASURE OF SURPRISE

Extreme rainfall can result in natural disasters such as floods and landslides. These natural disasters will cause damage and losses to the surrounding environment. Prevention of damage from natural disasters can be done by extreme rainfall estimation. Estimates of extreme rainfall are based on Generalized Pareto Distribution (GPD) which requires threshold value information. The threshold value can be determined by two methods, namely Mean Residual Life Plot (MRLP) and Measure of Surprise (MOS). The purpose of this study is to determine and compare the threshold values ​​of MRLP and MOS. The data used are 10-day and monthly rainfall data. The results of this study indicate that the procedure of MOS is shorter and easier than that of MRLP. Based on the cross validation result, the log-likelihood value of MOS is larger than that of MRLP, then MOS is better than MRLP.
IMPROVING STUDENTS’ WRITING SKILL OF DESCRIPTIVE TEXT BY USING EXAMPLE NON-EXAMPLE STRATEGY AT GRADE X OF VOCATIONAL MADRASAH ALIYAH ADZQIA BELIMBING

The purposes of this research were to find out whether example non-example strategy can improve the students’ writing skill on descriptive, and to find out what factors influence the improvement of the students’ writing skill in writing descriptive text. This research was Classroom Action Research. This research was conducted in two cycles, which each cycle had three meetings. It was conducted from August 1st until August 31th.The researcher gathered the data in each cycles from observation checklist, field notes, interviews, and writing test. After analyzing the data, the researcher found that Example non-example strategy was able to improve the students’ writing skill of descriptive text through the process of comprehending the students, and assisting the students while they were writing. As the results, the students could improve their writing skill which involved the improvement of mean score of writing indicators; vocabulary, content/ideas, and organization. Moreover, it could be seen from the improvement of their mean score of basic score (56), test I (h62.5), and test II (79.4). Furthermore, the factors that influence the improvement of the students’ writing skill involved materials, media, and learning strategy. To sum up, the implementation of Example non-example strategy in teaching writing of descriptive text could provide positive results on their writing skill
Robust and Efficient Quadrotor Trajectory Generation for Fast Autonomous Flight

In this paper, we propose a robust and efficient quadrotor motion planning system for fast flight in 3-D complex environments. We adopt a kinodynamic path searching method to find a safe, kinodynamic feasible and minimum-time initial trajectory in the discretized control space. We improve the smoothness and clearance of the trajectory by a B-spline optimization, which incorporates gradient information from a Euclidean distance field (EDF) and dynamic constraints efficiently utilizing the convex hull property of B-spline. Finally, by representing the final trajectory as a non-uniform B-spline, an iterative time adjustment method is adopted to guarantee dynamically feasible and non-conservative trajectories. We validate our proposed method in various complex simulational environments. The competence of the method is also validated in challenging real-world tasks. We release our code as an open-source package.
Cyclic Flats of Binary Matroids

In this paper, first steps are taken towards characterising lattices of cyclic flats $\mathcal{Z}(M)$ that belong to matroids $M$ that can be represented over a prescribed finite field $\mathbb{F}_q$. Two natural maps from $\mathcal{Z}(M)$ to the lattice of cyclic flats of a minor of $M$ are given. Binary matroids are characterised via their lattice of cyclic flats. It is shown that the lattice of cyclic flats of a simple binary matroid without isthmuses is atomic.
KAJIAN LOADING-UNLOADING CRUDE OIL DARI PLATFORM KE FSO ABERKHA

FSO (Floating Storage &amp; Offloading), is a floating / ship building that is used as a place to store crude oil. This crude oil is usually from FPS or FPU which is transferred to the FSO through a submerged turret loading (STL) system, then exported/offloaded to the tanker shelter through flexible hoses on the back of the FSO. The existence of FSO greatly benefits the oil industry, since it can be placed as close to the drilling area which is generally offshore. The method of loading ships that arrive can be done in various ways, including STS (ship to ship), Tandem (stern mooring), and SPM (single point mooring). A ship used to store oil is only referred to as a floating storage and offloading vessel (FSO). The results of the analysis show that the efficiency of pump usage has an effect on the fluid flow rate, it’s evident from the use of pumps to move crude oil in a pipeline resulting in an image with the highest stress value reaching 89 Pa at an efficiency value of 98%. criteria for safety factors that are allowed.
Editorial for the Special Issue on “Modern Recommender Systems: Approaches, Challenges and Applications”

Recommender systems are nowadays an indispensable part of most personalized systems implementing information access and content delivery, supporting a great variety of user activities [...]
Integration of the Static Analysis Results Interchange Format in CogniCrypt

Background - Software companies increasingly rely on static analysis tools to detect potential bugs and security vulnerabilities in their software products. In the past decade, more and more commercial and open-source static analysis tools have been developed and are maintained. Each tool comes with its own reporting format, preventing an easy integration of multiple analysis tools in a single interface, such as the Static Analysis Server Protocol (SASP). In 2017, a collaborative effort in industry, including Microsoft and GrammaTech, has proposed the Static Analysis Results Interchange Format (SARIF) to address this issue. SARIF is a standardized format in which static analysis warnings can be encoded, to allow the import and export of analysis reports between different tools. Purpose - This paper explains the SARIF format through examples and presents a proof of concept of the connector that allows the static analysis tool CogniCrypt to generate and export its results in SARIF format. Design/Approach - We conduct a cross-sectional study between the SARIF format and CogniCrypt's output format before detailing the implementation of the connector. The study aims to find the components of interest in CogniCrypt that the SARIF export module can complete. Originality/Value - The integration of SARIF into CogniCrypt described in this paper can be reused to integrate SARIF into other static analysis tools. Conclusion - After detailing the SARIF format, we present an initial implementation to integrate SARIF into CogniCrypt. After taking advantage of all the features provided by SARIF, CogniCrypt will be able to support SASP.
A feasibility study on pairinga smartwatch and a mobile devicethrough multi-modal gestures

Pairing is the process of establishing an association between two personal devices. Although such a process is intuitively very simple, achieving a straightforward and secure association is challen ...
Mutual Profit Increment for Cloud User and Resource Providers Efficient Resource Utilization Auction Method in Cloud Computing

Nowadays, cloud computing becomes emerging technology, where any kind of data can be shared.Software and resources can be offered based on the requirement of customers.Effective resource allocation is a challengeable task in a Cloud environment.Cloud resource providers have sufficient resources which should be efficiently allocated.Otherwise, a problem will occur in underutilization devices.The main difficulty is to identify an appropriate cloud resource provider for each cloud user who could sell various resources in minimum possible cost according to their requirements and simultaneously find suitable cloud user for a cloud service provider who values his resources at the most.To overcome the above issues, Efficient Resource Utilization Auction Method is designed to solve resource allocation issues by using dynamic cost model and effective resource utilization for cost resources.The method offers one type of safe auction process between resource provider and user to grow their business mutually in win-win condition.Where, cloud user looks to get actual requirement with an affordable cost; simultaneously cloud resource provider also looks to generate good revenue and meaningful profit.The method fascinates the cloud resource provider to decide the resource allocation for the submitted virtual machine (VM) to the physical machine (PMs).The proposed method works based on a dynamic economic auction model.Based on the experimental evaluation, proposed Efficient Resource Utilization Auction Method improves the 18% resource utilization (RU), and reduces 20 seconds task completion time (TCT) compare than conventional methodologies.
Evaluating Computational Language Models with Scaling Properties of Natural Language

In this article, we evaluate computational models of natural language with respect to the universal statistical behaviors of natural language. Statistical mechanical analyses have revealed that natural language text is characterized by scaling properties, which quantify the global structure in the vocabulary population and the long memory of a text. We study whether five scaling properties (given by Zipf's law, Heaps' law, Ebeling's method, Taylor's law, and long-range correlation analysis) can serve for evaluation of computational models. Specifically, we test $n$-gram language models, a probabilistic context-free grammar (PCFG), language models based on Simon/Pitman-Yor processes, neural language models, and generative adversarial networks (GANs) for text generation. Our analysis reveals that language models based on recurrent neural networks (RNNs) with a gating mechanism (i.e., long short-term memory, LSTM; a gated recurrent unit, GRU; and quasi-recurrent neural networks, QRNNs) are the only computational models that can reproduce the long memory behavior of natural language. Furthermore, through comparison with recently proposed model-based evaluation methods, we find that the exponent of Taylor's law is a good indicator of model quality.
Design and Implementation of Online Test System of File Operation

In order to know whether the students can operate the files in Windows System, we designed an online test system. The system is B/S and stores questions with Access. When testing, the system builds questions and gives operation demand automatically, and then builds the examination environment automatically, include creating folders and files needed to be operated. Finally it checks whether the result meets the required or not automatically. By practice, it operates simply and is used conveniently, and tests effectively.
Loops and Logic

This chapter presents some recipes about how to use loops and logic with MakeCode. MakeCode provides four type of loops to continually repeat blocks until a certain condition is reached:
Pemodelan Data Warehouse Distribusi Produk di PT. X

The purpose of this study is to provide an overview of the Head of Distribution of PT. X to support product distribution monitoring activities in terms of the number of products to be distributed to each branch office as needed. The problem that occurs is the large number and diversity of products required where each branch office is located far apart, cause the company difficulty in collecting product data that functions for the monitoring process. The solution to this problem is there needs a model that can be used to collect all the necessary data for monitoring product distribution using the Data warehouse method. This method is used to collect diverse data into a storage area so that users can quickly analyze the data needed. OLTP is part of the Data Warehouse, which is the initial stage of modeling data sources, then with ETL processes, which are the basis for modeling data warehouse schemes. So, this model can be used as a reference to produce useful information for managerial parties PT. X in the next study.
The Language of the Possible

Our particular moment in history, and the coming two decades, are likely to yield dramatic shifts in relationships between human populations on individual and national scales, as we navigate our relationships to and with intelligent machines and tools. Without a language to articulate the shifts in these relationships, legislation to regulate and protect human dignity, and sensitivity to the myriad of necessary translations across language systems and cultural contexts, we will face grave difficulties. In this paper, we introduce an experimental teaching project that focused on building a common lexicon amongst budding humanists and technologists at Carnegie Mellon University: Artificial Intelligence & Humanity. Our goal was to develop a shared language through lines of inquiry that explore the societal impact of Artificial Intelligence and robotics on contemporary society.
One-Dimensional Standing and Sitting Interface Based on Relative Distances

Elderly people generally tend to behave slowly and the reaction time is delayed; moreover, not many are familiar with mechanical or electronic controls. Therefore, when designing and developing a standing and sitting assist device for the elderly, an easy-to-learn and simple-to-use interface system capable of responding to complex and diverse environments is of particular importance. Since the assist device is expected to employ in various kinds of public places, more than anything, protection of personal information is its fundamental requirements. For this purpose, our paper tackles a problem of designing a user interface between an elderly user and the assist device helping him/her stand up and sit down. As a solution approach, the paper introduces a one-dimensional distance-based interface, allowing to recognize the 3D standing and/or sitting behaviors, without requiring any additional sensor inputs such as visual data.
Anthropological Context of Professional Teacher Training

A typological profile of students mastering the teaching profession has been developed based on the results of the empirical research carried out by universities of Belarus that provide professional teacher training programs. About 24% of students are classified as “undecided”. This type is characterized by a lack of orientation towards the teaching profession and dissatisfaction with the educational process at university. We assumed that the creation of an educational environment focused on the development of an individual style of professional activity and coordination of individual and generalized educational pathways of students at all stages of their professionalization in high school can change the situation. Such an educational environment can manifest itself in a multi-style educational space that meets the needs of students in professionalization in the context of individual educational requirements and generates factors of effective development and self-development of learners. Testing of the model of the multi-style educational space proved that it expands the possibilities of creative self-realization of future teachers, the achievement of the high level of educational standards, and significantly reduces the percentage of graduates who are not satisfied with the educational process at the university.