Reviewerly/exHarmony huggingface dataset:
An emotion analysis scheme based on Gray Wolf optimization and deep learning

Abstract Automatic detection of emotions in textual data masses provides priceless opportunities for researchers and also it is inevitable for practitioners. The unfavorable factors involved in text data cause ambiguity and adversely affect the performances of emotion classifiers. Although deep learning approaches spark off significantly successive results, the obtained performances of the classifiers in the literature are commonly evaluated as the overall accuracy. This incomplete evaluation ignores inner class performance and overall accuracy can behave as a hopeful evaluator. In this study, we employed deep learning and meta‐heuristic optimization methods together in order to resolve the ambiguity issue. Moreover, the decision mechanism of a conventional deep learning model is equipped with optimal emotion vectors obtained by optimization processes for each emotion class. Experimental results show that the proposed approach improves the inner class performance by maintaining the overall accuracy scores.
A CS-SemiUKF Based Algorithm on Trajectory Estimation in Boost Phase

Aiming at improving the computational efficiency of the boost phase trajectory estimation algorithm based on the Current Statistic-Uncented Kalman Filtering (CS-UKF), a CS-SemiUKF based boost phase trajectory algorithm is proposed. According to the characteristics of the CS model, the Linear State Equation is used for state prediction and state covariance matrix prediction, and the Measurement Update phase is still achieved through the Sigma points nonlinear propagation. The simulation shows that, compared with the CS-UKF based boost phase trajectory algorithm, the proposed algorithm is rational and effective, the operation time is reduced by approximately 27% under the condition that the estimation error is equivalent.
STAYING WITH THE DARKNESS

This essay discusses Sloterdijk’s anthropotechnical framework as it relates to recent contributions that deal with the inherent opacities of digital technology and processes of blackboxing. I argue that Sloterdijk’s philosophy is a precious case of affirmative, non-nihilistic technophilic thinking that espouses the technogenic provenance of mankind, and leaves space for technologically engendered incomprehensibility while tracing a horizon for human beings’ resoluteness. In the first section of my essay I tackle Sloterdijk’s reflections on the philosophical transition from wonder to horror in the twentieth century, and I put it in dialogue with his concept of the monstrous as defined by boundlessness, complexity, and excess. Here, I discuss how the human being shows both monster-slayer and monstrous tendencies. Secondly, after having revisited the question “what happened in the twentieth century” from this perspective, I discuss how Sloterdijk’s analysis of the monstrous provides a coherent genealogy for an assessment of the individual’s relation to current “monstrous” technologies, as they are tied to algorithmic processing. I conclude by arguing that Sloterdijk’s anthropotechnics and onto-anthropology allow for an acrobatic confrontation with the possibility of untethering technological advancement from illusory promises of absolute clarity, and promote the immunological value of darkness.
Robot pathfinding with obstacle avoidance capabilities in a static indoor environment via TOR iterative method using harmonic potentials

Mobile robots are always in a state where they have to find a collision-free path in their environment from start to the target point. This study tries to solve the problem of mobile robot iteratively by using a numerical technique. It is based on potential field technique that was modelled using the Laplace’s equation to restrain the creation of a potential functions across regions in the mobile robot’s configuration space. The gradient formed by the potential field is then used to generate a path for the robot to advance through. The present paper proposes a Two-Parameter Over-Relaxation (TOR) iterative method that is used to solve Laplace’s equation for obtaining the potential field that is then utilized for finding path of the robot, thus solving the robot pathfinding problem. The experiment indicates that it is capable of producing a smooth path between the starting and target points through the use of a finite-difference technique. Furthermore, the simulation results show that this numerical approach executes quicker and provides a smoother trail than to the previous works, that includes Successive Over-Relaxation (SOR) and Accelerated Over-Relaxation (AOR) methods.
Boosting Quality Education with Inclusive Human Development: Empirical Evidence from Sub-Saharan Africa

This study examines the importance of inclusive human development in promoting education quality in a panel of forty-nine Sub-Saharan African countries for the period 2000-2012. The empirical evidence is based on Ordinary Least Squares (OLS), Fixed Effects (FE) and Quantile Regression (QR) estimations. It is apparent from the OLS and FE findings that inclusive human development has a negative effect on the outcome variable. This negative effect implies that inclusive human development improves education quality. This result should be understood in the light of the fact that the adopted education variable is a negative economic signal given that it is computed as the ratio of pupils to teachers. Therefore, a higher ratio reflects diminishing education quality. From QR, with the exception of the highest quantile, the tendency of inclusive human development in reducing poor quality education is consistent throughout the conditional distribution of poor education quality. Policy implications are discussed.
Message-Passing-Driven Triplet Representation for Geo-Object Relational Inference in HRSI

A high-resolution remote sensing image (HRSI) scene typically contains multiple geo-objects, and geospatial relations among these geo-objects are obvious. As the important information conveyed by HRSI, the intelligent expression of geospatial relation is helpful in understanding HRSI scenes. Previous HRSI semantic understanding was mainly based on image captions that only generate one sentence to describe image content, thereby resulting in insufficient understanding of the scene. Thus, the present letter proposes an approach to represent geospatial relations in an HRSI scene with structured form of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\langle $ </tex-math></inline-formula> subject, geospatial relation, object <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\rangle $ </tex-math></inline-formula> . A geospatial relation triplet representation data set that contains visual and semantic information, such as category, location, and geospatial relations of the geo-objects, is constructed first. An “object-relation” message-passing mechanism is adopted to enhance the information exchange between the geo-objects and geospatial relations to predict triplets accurately. The experimental results show that the proposed method can effectively predict the geospatial relation in a HRSI scene.
STATUS HUKUM PENGGUNAAN MATA UANG BERBASIS KRIPTOGRAFI (CRYPTOCURRENCY) SEBAGAIOBJEK KOMODITAS BERJANGKA SYARIAH

Tania Putri Atikahsari, Dr. Sihabudin, S.H., M.H., Dr.Reka Dewantara, S.H., M.H. Fakultas Hukum Universitas Brawijaya Jl. MT. Haryono No. 169, Malang e-mail : Taniaputriatikahsari@gmail.com ABSTRAK Kemudаhаn merupаkаn suаtu hаl yаng selаlu di cаri oleh mаnusiа, termаsuk kemudаhаn dаlаm melаkukаn trаnsаksi tаnpа hаrus menyisihkаn bаnyаk wаktu hаnyа untuk mendаpаtkаn sestаu hаl yаng diinginkаnnyа. Dаlаm perkembаngаnnyа sааt ini terdаpаt mаtа uаng Virtuаl yаng bekerjа secаrа online, Mаtа uаng kripto merupаkаn sаlаh sаtu mаtа uаng virtuаl yаng bаnyаk digunа kаn oleh mаsyаrаkаt diduniа. Mаtа Uаng Kripto sendiri merupаkаn mаtа uаng virtuаl yаng berbаsis Kriptogrаfi untuk mengаmаnkаn dаn memverifikаsi setiаp trаnsаksi sertа mаtа uаng kripto didukung oleh jаringаn komputer yаng tаk terpusаt. Kriptogrаfi аdаlаh illmu pengetаhuаn dаn seni menjаgа pesаn – pesаn аgаr tetаp terjаgа dengаn аmаn. Di negаrа hukum seperti di Indonesiа sendiri penggunааn Uаng Kripto dilаrаng dаlаm pengedаrаnnyа dаn dаlаm penggunааnnyа, dikаrenаkаn аpаbilа mаtа uаng kripto dilegаlkаn di Indonesiа аtаu dibebаskаn di Indonesiа dаlаm penggunааnyа аkаn menimbulkаn tingginyа fluktuаsi dаn mengаncаm ekonomi Mikro di Indonesiа itu sendiri аtаu lebih mudаhnyа dаpаt mengаncаm keberаdааn uаng rupiаh yаng аkаn tergeser dаn tidаk ternilаi di duniа bаhkаn di Indonesiа nyа itu sendiri. Sаlаh sаtu mаtа uаng kripto yаng sudаh nerimа sertifikаsi аdаlаh Stellаr yаng berbаsis di Cаliforniа telаh menerimа sertifikаsi dаri The Shаriyаh Review Bureаu (SRB) untuk plаtform blockchаin yаng terkаit dengаn cryptocurrency, yаng bertujuаn untuk mengintegrаsikаn teknologi ke bidаng produk keuаngаn yаng sesuаi syаriаh Kata Kunci : Status Hukum, Mata Uang Kriptografi, Komoditi Berjangka Syariah ABSTRACT Easier way in transaction is everyone’s expectation to save time. Virtual currency has become more common to allow online transaction. When this is the case, cryptocurrency is the most commonly used virtual currency globally. This cryptography-based currency helps secure and verify every transaction. It involves the art and science of keeping message so that this virtual currency is supported by central computer network for security. Cryptocurrency circulation is banned in Indonesia since this system is regarded as potential to cause fluctuation and even to threaten micro-economy in the country. In other words, it could affect the Indonesian currency. One of the cryptocurrencies that has been verified by the Shariyah Review Bureau (SRB) is Stellar based in California in terms of blockchain platform for cryptocurrency. This verification is intended to integrate technology and sharia-based financial product. Keywords: legal standing, cryptocurency, sharia commodity futures
The Amazing Diversity of Brass Instruments

In this chapter we discuss the factors which distinguish the commonly recognised species of brass instrument. It is asserted that bore profile is the principal determinant of the character of an instrument. Parameters which can be derived from physical measurement of instruments (or from instrument makers’ designs) are identified. The main kinds of brass instrument are discussed, going from the shortest to the longest, with illustrations of typical examples and their bore profiles, and plots of the brassiness potential and minimum bore of larger populations of the common species. The phenomenon of instruments made in families (such as saxhorns) is examined. Parameters which can be used to characterise the mouthpieces appropriate for the different kinds of instrument are presented. The chapter concludes with a case study of the bass brass instruments composed for (and commented on) by Hector Berlioz.
Problem Kit System for Expression Ability Evaluation

The ability of expression includes communication ability, generalization ability, leadership ability, communication ability, etc. As the basic ability of talents, it is in a very important position in the talent evaluation system. However, the current evaluation of expression ability is still at the primary level of the interviewer's decision, which requires a lot of manpower and time costs, and cannot be quantified, and can only be divided into levels by experience. Aiming at this problem, the expression ability evaluation project proposed a new expressive ability evaluation program called Problem Kit System. By participating in the evaluation, users can quantify their expression ability level. Experiment results show that the system can quantify the expression ability of the evaluator to a certain extent, and the number of samples whose scores are within 5 points of the expert's rating exceeds 80%.
Levenshtein Distance Algorithm Analysis on Enrollment and Disposition of Letters Application

Archives are recorded records of various activities or organizations in various forms, such as letters, books, and others, stored systematically in the place provided to facilitate searches if needed again. Archived data is recorded based on date, letter number, and other things related to digital filing. Digital filing of letters by storing softcopy documents, accompanied by incoming and outgoing mail reports, and monitoring mail disposition. To make it easier for agencies to process correspondence and letter archiving and speed up searching for letters, the Levenshtein distance algorithm is used. This research results in the form of a letter tiling and disposition application that is easy in managing letters such as letter tiling, letter disposing, and others by applying the Levenshtein distance algorithm in letter search to speed up the letter search process.
Case Study of ICT Architectures for a Context-Aware System in Smart Energy Domain

Nowadays, by the integration of the internet into many computational areas, smart energy automation and the reliable controlling system can be achieved by introducing the Internet of Things (IoT). As IoT becomes an active research area, different methods, and strategies from different points of view have been explored to promote the development and popularity of IoT. One trend is viewing IoT as Web of Things (WoT) where the open Web standards are supported for information sharing and device interpretation. This WoT vision enables a new way of narrowing the barrier between the virtual and physical worlds. This paper presents the result of a European project in demonstrating different ICT architectures for context information management. It uses some key enabling technologies of WoT to share the data from the smart energy system and end up with a hybrid ICT architecture. The demonstrated architectures can be further powered with any intelligent algorithms and applications to provide a fully digitalized environment.
Leukocyte Counting using Combination of First Order Statistical Parameters and Otsu’s Thresholding in Microscopic Blood Image

Leukocyte counting is a routine blood examination that is often requested in health care units and hospitals in an effort to carry out the established diagnosis, to provide information about various conditions of these diseases. A framework for counting leukocytes has been proposed in this study. A thresholding method that combines first order statistical parameters with the otsu function has been applied to extract the nucleus on a microscopic image of blood, followed by marker-controlled watershed method to separate the touching nucleus. Due to the presence of several abnormal leukocyte regions because of the staining process error, the elimination of the abnormal region is performed. In the end, it is completed by the connected component labeling. The experimental results show that the segmentation results have an average sensitivity (true positive rate) of 97.2%, an average specificity (true negative rate) of 99.03%, while the false positive rate reaches 0.97% compared to the groundtruth image. The results of the leukocyte counting experiment showed that the average over counted ratio reached 15.86%, while the under counted ratio of the proposed framework was 1.09%.
Display Placement and Design: Impact on Engagement with Social Object Labels in a Gallery Environment

Considering placement and content design as key factors determining attention and engagement with interactive public displays, this paper reports on an empirical study investigating attention and engagement with social object labels as a particular instance of that display class in a museum context. It describes a field trial in a live gallery environment evaluating a range of display placements and designs. The study suggests that (i) placement has a major impact on attention and engagement; (ii) the attention potential of display placements can be quantified to predict attention and engagement rates; (iii) interaction- and information design only have a minor impact on some engagement metrics. The findings help to better understand how placement and design influence attention and engagement with public displays and underline the need for further research exploring these aspects in other contexts.
Ethical and Societal Issues of Automated Dark Web Investigation: Part 4

The core aim of this chapter is to identify and to analyse any real and potential legal and ethical implications for online investigations carried out in the area of gathering, analysing and exchanging information collected, and this chapter presents the legal considerations that need to be taken into account when developing the tool.
Illuminate Low-Light Image via Coarse-to-fine Multi-level Network

Images under low light or against light are of low readability and visibility which in turn cause performance degradation of many computer vision tasks. As the crucial research objects for low-brightness image enhancement, reflectance as an invariant has color information, and illuminance as a variable has brightness information. Existing technologies prefer to represent the reflectance and illumination in the same network depth directly, which ignores the internal discrepancy and correlation of these two components, further causing the details vanished and artifacts noises. Consequently, we propose coarse-to-fine multi-level decouple and fusion network (CMDFN) to decompose the restoration tasks into two sub-tasks, and use decouple network (CMDN) to learn the joint features of reflectance and illumination at different network depths. To refine the joint representation and revise color information, fusion network (CMFN) is applied to promote the illuminations map by extracting the complementary and redundant information from the reflectance map. Finally, we integrate the refined illumination and reflectance to reproduce the predicted image. Especially, in CMFN, we introduce a process based on discriminate attention mechanism to balance the noise. Experimental results have demonstrated that our proposed network is superior other state of the art methods, both visually and quantitatively.
Experience of application of neutron shooting in the complex with geoelectrochemical methods on reference tybes of the Zimmeberezhny diamondiferous area

The method of registration of free neutrons applied in a complex with geoelectrochemical methods is for the first time tested in the Arkhangelsk diamondiferous province. The basis on its application is the concept developed now about formation of diamonds in the deep center, screened dense breeds. As a result density of energy of the excited environment increases that leads to course of nuclear dissociation of nuclear kernels, cluster radioactive decay and a low-energy transmutation of elements. At formation of a kimberlite tube in the course of cluster radioactive decay and a low-energy transmutation of nuclear kernels there is an electromagnetic radiation with energy of quantum about tens and hundreds kiloelectronvolt. By results of the carried-out skilled and methodical works on the reference blocked tubes Pioneer and Verkhnetovsky confirmation of this concept is received and the search technique leaning on this geological model is offered.
PENDAMPINGAN ORANG TUA TERHADAP PERKEMBANGAN ANAK DALAM MENONTON TAYANGAN TELEVISI GUNA MENUMBUHKEMBANGKAN MINAT BACA

The purpose of the study is to describe the role of parental companions in watching television to develop children's reading interest. The study is an object of discussion that focuses on analysis based on studies that have a comprehensive, detailed nature of important and main content, namely; the role of parental assistance in watching television for the development of children's reading interest. The study covers a basic analysis, based on the focus of the main study on the role of parents in managing the development of children's reading interest through television viewing assistance. Analysis requires critical thinking of reality, in order to carry out the application of conceptualization to historical developments in the past or is happening, using a historical approach, characterized by a realistic investigation of the development of a thought. Primary information sources function as the main elements of primary data. The historical approach data collection technique makes optimal use of the research library by reading the related literature; family function, the role of parents, interest in reading, television programs and their impact. Qualitative descriptive analysis is used based on sources of analysis based on various kinds of reading materials that are theoretical, research and not research. To achieve the validity of the study requires efforts to utilize content analysis to analyze the meaning of the various conceptualizations that are the main study. Observations were made to see the role of parents, the function of the family, used as elements of theory construction, especially the meaning of family functions, the role of parental companions, the growth of interest in reading, as well as watching television shows. The results showed that; (1). The role of parents is very important and plays a strategic position in the development of children, so as not to fall into something negative. (2). The role of parents in watching television is very urgent for parents to do, because it functions to supervise, direct and guide children to develop reading interest.
KNNAC

Density-based clustering algorithms are commonly adopted when arbitrarily shaped clusters exist. Usually, they do not need to know the number of clusters in prior, which is a big advantage. Conventional density-based approaches such as DBSCAN, utilize two parameters to define density. Recently, novel density-based clustering algorithms are proposed to reduce the problem complexity to the use of a single parameter k by utilizing the concepts of k Nearest Neighbor (kNN) and Reverse k Nearest Neighbor (RkNN) to define density. However, those kNN-based approaches are either ineffective or inefficient. In this paper, we present a new clustering algorithm KNNAC, which only requires computing the densities for a chosen subset of points due to the use of active core detection. We empirically show that, compared to other nearest neighbor based clustering approaches (e.g., RECORD, IS-DBSCAN, etc.), KNNAC can provide competitive performance while taking a fraction of the runtime.
Complexity of Mathematical Expressions and Its Application in Automatic Answer Checking

The complexity of a mathematical expression is a measure that can be used to compare the expression with other mathematical expressions and judge which one is simpler. In the paper, we analyze three effect factors for the complexity of a mathematical expression: representational length, computational time, and intelligibility. Mainly, the paper introduces a binary-lambda-calculus based calculation method for representational complexity and a rule based calculation method for algebraic computation complexity. In the process of calculating the representation complexity of mathematical expressions, we transform the de bruijn notation into the binary lambda calculus of mathematical expressions that is inspired by compressing symmetry strings in Kolmogorov complexity theorem. Furthermore, the application of complexity of mathematical expressions in MACP, a mathematics answer checking protocol, is also addressed. MACP can be used in a computer aided assessment system in order to compute correct answers, verify equivalence of expressions, check user answers whether in a simplification form, and give automatic partial grades.