Reviewerly/exHarmony huggingface dataset:
Information integration and intelligent control of port logistics system

Port logistics (PL) can be defined as the process of planning, implementing and controlling the flow of goods and information between the sea and inland via ports and the other way around. PL systems concern the development of functions to support activities including sea side and land side transportation, cargo storage, order processing, and distribution. Increasing demand and a highly competitive market have forced PL systems to continuously improve their performance, including their operational efficiency and reliability. A key issue is the improvement of decision-making abilities. Decision-making systems play an important role within PL systems, especially as they consider the ways that different processes, operations, and equipment can be controlled and coordinated. With the support of ICT technologies, the decision-making systems have significantly developed. However, several decision making processes lack sufficient ICT support. As a result, the benefits of integrating new ICT supports are unknown, including their benefits for inland vessel coordination and the equipment reliability assessments. The goal of this thesis is to develop an ICT framework to support the decision-making processes and ultimately improve the performance of PL systems. To do so, a hierarchical ICT framework is designed, which consists of two major components: a middleware and an intelligent decision-making approach. With regards of selecting middleware, an agent system is chosen. Likewise, for the selection of intelligent decision making approach, the meta-heuristics approach is chosen to aid the collaborative planning, whereas context-aware system is chosen for the reliability assessment. To further integrate the selected ICT technologies, a hierarchical framework is designed, which contains three layers: an agent model layer, an agent control layer, and an agent management layer. At the agent model layer, the problems are decomposed and modelled as an agent. At the agent control layer, a coordinate agent is integrated with the intelligent decision-making approach to establish control and coordination. Finally, at the agent management layer, the agent communication facility is established...
Circular All-Or-Nothing: Revisiting Data Protection Against Key Exposure.

Rivest's seminal paper introduced the first All-Or-Nothing (AON) method transforming input data into ciphertext in a way that the decryption of the input data is only possible when the ciphertext is complete. The AON processing, when combined with data fragmentation and dispersal, protects against an attacker that was able to acquire the encryption key but could not gather all of the data fragments. The reinforcement in data protection comes at the cost of a significant decrease of performance as Rivest's proposal requires at least two rounds of data encryption. Recently, a new scheme named Bastion was introduced that protects fragmented data against key exposure using only a single round of data encryption combined with a linear post-processing transform. In this paper, we make three advancements in the state-of-the-art. First, we formulate a new security model for the all-or-nothing processing that depends not on the amount of data acquired by the attacker but on the number of compromised storage nodes. Second, we introduce the Circular All-Or-Nothing (CAON): an algorithm protecting encrypted data against a situation of key exposure. It transforms, fragments, and disperses data in a way that initial data is protected unless all of the storage nodes are compromised. It is faster than the Bastion's scheme as it reduces the number of exclusive-or operations made in addition to encryption by almost a half. We believe it can be integrated inside modern distributed storage systems or multi-cloud data solutions in order to reinforce the confidentiality level of the stored data at the cost of a very small, almost negligible, performance overhead. Third, we provide security properties that are easy to formalize under standard cryptographic hypotheses.
Empiric Relationship between the Growth of Chironomus riparius Larvae and the Content of the Elements of the Group of Metals in the Composition of Freshwater Bottom Sediments under Laboratory Conditions

The group of metals, including Li, Be, Na, Mg, K, Ca, Mn, Co, Cu, Rb, Sr, Cs, Ba, Tl, and Pb, and the sum of light (La, Ce, Pr, Nd, and Sm) and heavy (Eu, Gd, Tb, Dy, Er, Tm, Yb, and Lu) rare-earth elements, the content of which correlates with the growth of Chironomus riparius larvae, was determined in bottom sediments using the method of piecewise regression. The methods of the multidimensional statistical analysis and the appendix of the theory of indistinct sets, in particular, desirability functions were used. It has been shown that the metals of the first two groups of the Mendeleyev Table explain 79.5% of the variations of the change in larvae dimensions. The intervals of the concentrations of the general forms of chemical elements corresponding to the optimal growth of Chironomus riparius larvae were determined on the basis of the Harrington scale and function.
Dynamic Hierarchies in Temporal Directed Networks

The outcome of interactions in many real-world systems can be often explained by a hierarchy between the participants. Discovering hierarchy from a given directed network can be formulated as follows: partition vertices into levels such that, ideally, there are only forward edges, that is, edges from upper levels to lower levels. In practice, the ideal case is impossible, so instead we minimize some penalty function on the backward edges. One practical option for such a penalty is agony, where the penalty depends on the severity of the violation. In this paper we extend the definition of agony to temporal networks. In this setup we are given a directed network with time stamped edges, and we allow the rank assignment to vary over time. We propose 2 strategies for controlling the variation of individual ranks. In our first variant, we penalize the fluctuation of the rankings over time by adding a penalty directly to the optimization function. In our second variant we allow the rank change at most once. We show that the first variant can be solved exactly in polynomial time while the second variant is NP-hard, and in fact inapproximable. However, we develop an iterative method, where we first fix the change point and optimize the ranks, and then fix the ranks and optimize the change points, and reiterate until convergence. We show empirically that the algorithms are reasonably fast in practice, and that the obtained rankings are sensible. Code related to this paper is available at: https://bitbucket.org/orlyanalytics/temporalagony/ .
An Enhanced Model for Abusive Behavior Detection in Social Network

Due to the growing use of social media, incidents of online abuse are also on rise. Online abusive behavior is defined as the use of electronic devices connected through internet for offensive activities. It is mostly in the form of comments containing abusive words about others, which affect the target users’ psychology and depresses them. This paper is aimed at devising method for detecting abusive behavior using supervised learning techniques. Two hypotheses are presented to extract features for detection of offensive comments. The initial experiments show that using features using our proposed method has better accuracy than the traditional feature extraction techniques like TF-IDF.
I think I need to remove all ...

I think I need to remove all url unfurling from @withknown. It looks real pretty but I often use someone's url to @ mention them
From Ambient Assisted Living to Society Ambient Living

The developments of TLC networks and computer-based equipment allow the test of the Ambient Intelligent (AmI) concepts. In this paper these ideas are discussed from the perspective of activities carried out as an effort to help people (mainly old people) to live independently and comfortably. Three levels of implementations are discussed: the present situation, where intelligence is mainly meant as the use of computer-based equipment, able to adapt their behaviour to different users, the developments in progress, where equipment are connected under an intelligent control in the environment, for the implementation of functionalities and the communication with other supporting people, and future extension to the entire communication network, where intelligent user agents are able to look for potentially interesting contacts and negotiate to check promising opportunities, before involving users themselves.
Circuit Theory Based on New Concepts and Its Application to Quantum Theory

Circuit theory includes steady-state responses that are obtained using the Laplace transform; however, they are not included in classical physics. By applying the Laplace transform to the Dirac equation as a basic equation of quantum theory, we can examine the steady-state response in quantum theory and determine the spin 1/2 as a characteristic phenomenon in this theory.
Corrigendum to: Mechanistic Causation and Constraints: Perspectival Parts and Powers, Non-perspectival Modal Patterns

Previous article FreeCorrigendum to: Mechanistic Causation and Constraints: Perspectival Parts and Powers, Non-perspectival Modal PatternsJason WinningJason Winning Search for more articles by this author Original articleMechanistic Causation and Constraints: Perspectival Parts and Powers, Non-perspectival Modal PatternsPDFPDF PLUSFull Text Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookTwitterLinked InRedditEmailQR Code SectionsMoreThe British Journal for the Philosophy of Science, axy042, https://doi.org/10.1093/bjps/axy042The first line of Section 2.2 should read “While Cartwright and Pemberton ([2013]) have argued in favour of a robust, Aristotelian account of causal powers to ground the inherent activeness of mechanisms, and others have understood biological causation in terms of causal powers,4 the new mechanist philosophers have generally been unwilling to fully embrace an Aristotelian picture of causation that imbues the entities within mechanisms with causal powers.5”Notes4 For example, Gillett ([2007]), Dupré ([2012]), Deacon ([2011], pp. 364–8), Mumford and Anjum ([2011], pp. 218–20), and Moreno and Mossio ([2015]).5 Glennan at times writes of capacities and powers (for example, [2017], pp. 315) but they are not basic categories in his ontology and take a backseat to activities (for example, [2017], pp. 50, 148). This is apparently because Glennan denies that capacities are ‘intrinsic features’ of their bearers ([2017], p. 52). But on the other hand, and interestingly, Glennan does characterize modal ‘relations of causal determination’ as ‘intrinsic actual-world’ features ([2017], pp. 167–8). Previous article DetailsFiguresReferencesCited by The British Journal for the Philosophy of Science Volume 72, Number 1March 2021 Society: The British Society for the Philosophy of Science Article DOIhttps://doi.org/10.1093/bjps/axy080 Views: 479Total views on this site HistoryPublished online January 21, 2019 © 2019 The Author(s). All rights reserved.PDF download Crossref reports no articles citing this article.Related articlesMechanistic Causation and Constraints: Perspectival Parts and Powers, Non-perspectival Modal Patterns23 Dec 2020The British Journal for the Philosophy of Science
Query-dependent ranking and its asymptotic properties

Ranking, also known as learning to rank in machine learning community, is to rank a number of items based on their relevance to a specific query. In literature, most ranking methods use a uniform ranking function to evaluate the relevance, which completely ignores the heterogeneity among queries. To admit different ranking functions for various queries, a general $U$-process formulation for query-dependent ranking is developed. It allows to incorporate neighborhood structure among queries via various forms of smoothing weights to improve the ranking performance. One of its salient features is its capability of producing reasonable rankings for novel queries that are absent in the training set, which is commonly encountered in practice but often neglected in the literature. The proposed method is implemented via an inexact alternating direction method of multipliers (ADMM) for each query parallelly. Its asymptotic risk bound is established, showing that it achieves desirable ranking accuracy at a fast rate for any query including the novel ones. Furthermore, simulated examples and a real application to the Yahoo! challenge dataset also support the advantage of the query-dependent ranking method against existing competitors.
Teacher’s Strategy for Developing Higher Order Thinking Skills in Teaching Reading to The Eleventh Grade Students of SMK Muhammadiyah 1 Sukoharjo in 2018/2019 Academic Year

This research is carried out to describe the teacher's strategy in developing Higher Order Thinking Skills in teaching Reading and the students’ responses toward the strategy used by the teacher in teaching and learning process. The subject was an English teacher and the eleventh-grade students of SMK Muhammadiyah 1 Sukoharjo in 2018/2019 academic year. This type of research is descriptive qualitative. The data were collected through observation, interviews, and document analysis and analyzed through three stages, namely: data reduction, data display, data verification and drawing conclusion. The result showed the strategy used by the teacher to develop HOTS were: (1) informing learning objectives to the students, (2) asking question to the students, (3) using discussion, (4) giving feedback to the students, and (5) motivating students to think critically. The students’ responses to the strategies carried out by the teacher were good, but there were problems and strengths about the strategies applied by the teacher. The problems were students find it difficult to adapt to the teacher’s strategies learning because it was the second meeting and to understand the material because of the different abilities of students.5The advantage of the strategy applied by teachers was it can train teamwork ability and learning skills through group discussions.
Exploring the visual correlation of choropleth maps using an evolutionary algorithm

Multivariate choropleth maps are often used to compare patterns of different spatial variables. This approach can be implemented by simultaneously drawing a series of choropleth maps, with each representing a particular variable. In this paper, we develop an evolutionary algorithm that can be used to generate a set of classifications that allow a user to explore the spatial patterns of multiple choropleth maps in terms of their visual correlation. Synthetic and census data are used to demonstrate the effectiveness of our approach. We also discuss the role of our approach in an interactive mapping environment and its implication for spatial data mining.
Evolving Virtual Ecology

Within the field of artificial life it has been possible to create numerous virtual models that have allowed the study of the behaviour of living organisms and their interactions within artificially created ecosystems. Whilst the methods employed in this field have been mostly explored by various researchers in their projects, they had not been broadly applied to the entertainment and art fields. This paper focuses on a system (digital toy) which contains artificial life agents. These agents learn to interpret external audio commands and adapt to their environment using evolutionary computation and machine learning.
An Evaluation Of English Textbook “Modul Of English Tutorial Program” Used In Universitas Muhammadiyah Surakarta Based On Rajan’s Theory

This research paper is mainly intended to find out whether the English textbook“Modul of English Tutorial” used for undergraduate students of UniversitasMuhammadiyah Surakarta is suitable or not with the criteria of good material designsuggested by Rajan (2003). This research applies qualitative research. The researcherdid content analysis and questionnaires from 59 tutors dan 590 students in collectingthe data. The result shows that there are 10 criteria of material design suggested byRajan is suitable with the materials in the textbook. The percentage of the suitabilityis 90,90% which means the materials of the textbook is very good. In other hand, thetutors and the students’ perspective toward the textbook is good and mostly satisfiedwith the material. According to the statements above, this research implies thetextbook “Modul of English Tutorial Program is good to support the English learningprocess in Universitas Muhammadiyah surakarta.
Analisis Proyeksi Sekolah Dasar Di Kecamatan Selo Kabupaten Boyolali Tahun 2025

According to Bintarto, geography is a science that portrays, illuminates the properties of the earth, analyzes the symptoms of nature and the population and various things in time and time. Geographical development from time to time will be increasingly developed, so that it will give to various objects, for example Human Resources. Then it is required to display quality human resources. This information the government has an active role so that facilities can be used to ensure that primary schools. According to data from BPS in Boyolali District, Selo Sub-district has a small number of elementary schools, but the number of elementary school residents is not at least underdeveloped. So that requires census data (secondary data) then processed by statistical processing and then processed with comparative description analysis. The objectives of this study were (1) to find out the elementary school sub-classes in Selo Subdistrict, Boyolali Regency in 2017. (2) Knowing the level of education of the elementary school in Selo Subdistrict, Boyolali Regency in 2025. in 2025. The results of the study show that (1) the distribution of primary schools in Selo District is quite good because in each village there are elementary schools still too centered on the Selo and Jrakah villages. (2) From the projection it results in the calculation of primary school population growth, the need for primary school in the coming 2020 and classification. classification is divided into 3 classes, namely according to, more and less. villages that belong to appropriate classes namely Tlogolele Village, Klakah Village, Suroteleng Village, and Senden Village. More classes, namely Jrakah Village and Selo Village. And the villages included in the class are less than Lenco Village, Samiran Village, Tarubatang Village, and Jeruk Village. (3) From the results of analysis in terms of the population of Lencoh and Samiran Villages, the number is not in line with the results because there are still things that can be accommodated by the villages next to more classes. Then the villages of Tarubatang and Jeruk Kembali are targeted because they are not there is a village next to it that can accommodate.Keywords: Elementary Schools, Populations Aged 5-12 Years, and Projections.
Stochastic Model-Based Left Ventricle Segmentation in 3D Echocardiography Using Fractional Brownian Motion

A novel approach for fully-automated segmentation of the left ventricle (LV) endocardial and epicardial contours is presented. This is mainly based on the natural physical characteristics of the LV shape structure. Both sides of the LV boundaries exhibit natural elliptical curvatures by having details on various scales, i.e. exhibiting fractal-like characteristics. The fractional Brownian motion (fBm), which is a non-stationary stochastic process, integrates well with the stochastic nature of ultrasound echoes. It has the advantage of representing a wide range of non-stationary signals and can quantify statistical local self-similarity throughout the time-sequence ultrasound images. The locally characterized boundaries of the fBm segmented LV were further iteratively refined using global information by means of second-order moments. The method is benchmarked using synthetic 3D echocardiography time-sequence ultrasound images for normal and different ischemic cardiomyopathy, and results compared with state-of-the-art LV segmentation. Furthermore, preliminary results on real data from canine cases is presented.
Comparison of Auto-Scaling Policies Using Docker Swarm

When deploying software engineering applications in the cloud there are two similar software components used. These are Virtual Machines and Containers. In recent years containers have seen an incr ...
Assessment of non-functional properties for e-services

Non-functional properties (NFPs) for an e-service consist of qualities and features that are desirable by the service users. Unlike functional properties, which are tangible functionalities provided by the e-service, NFPs are often hidden or transparent to service users. These properties are formally or semi-formally expressed to service developers by the service user and are then transformed into non-functional requirements (NFRs) by the developers. Currently, both NFPs and NFRs are often overlooked by the service developer or added to the service later in an ad hoc manner. In this paper, we discuss the identification of NFPs by service users as part of the requirements for the engineering phase of the e-services software development life cycle. To help capture NFPs, we provide a comprehensive taxonomy for identifying their properties based on the categories of trust, user experience, quality of service, and conformance. The taxonomy is then used to develop a tool for assessing the NFPs in online banking e-services. The tool is applied to a case study, and the results are reported and empirically analyzed.
Multivariate Data Visualization

The previous chapter covered methods for univariate data visualization. This chapter continues that theme, but moves from visualizing single variables to visualizing multiple variables at a time. In addition to examining distributions and anomalous values as in the previous chapter, we also cover how to visualize the relations between variables. Visualizing relations between variables can help particularly for more traditional statistical models where the data analyst must specify the functional form (e.g., linear, quadratic, etc.). In later chapters we will also cover machine learning models that employ algorithms to learn the functional form in data without the analyst needing to specify it.
Bitcoin recap for 21.05.2018

Bitcoin opened with a gap Yesterday opening at $8524.20 and made a slight move up $8555.10 and after that the price started covering the gap, moving lower to $8251 and closed at $8364. Daily 200EMA also proves as a hard resistance for the price to move d
Pfeiffer Library: Locating eBooks: Welcome

Tutorial for locating electronic books in the library's collection and online Provides a description and table of contents of the guide.
Optical Network Control & Management Plane Evolution-A Large Datacenter Operator Perspective

Legacy management technologies and concepts are a major blocker to efficiently building and operating a large scale optical network. We provide an overview of new, modern device management technologies and discuss deployment and operational efficiencies that they enable.