Reviewerly/exHarmony huggingface dataset:
Mutation Rate Control in the $$(1+\lambda )$$ Evolutionary Algorithm with a Self-adjusting Lower Bound

We consider the 2-rate \((1+\lambda )\) Evolutionary Algorithm, a heuristic that evaluates \(\lambda \) search points per each iteration and keeps in the memory only a best-so-far solution. The algorithm uses a dynamic probability distribution from which the radius at which the \(\lambda \) “offspring” are sampled. It has previously been observed that the performance of the 2-rate \((1+\lambda )\) Evolutionary Algorithm crucially depends on the threshold at which the mutation rate is capped to prevent it from converging to zero. This effect is an issue already when focusing on the simple-structured OneMax problem, the problem of minimizing the Hamming distance to an unknown bit string. Here, a small lower bound is preferable when \(\lambda \) is small, whereas a larger lower bound is better for large \(\lambda \).We introduce a secondary parameter control scheme, which adjusts the lower bound during the run. We demonstrate, by extensive experimental means, that our algorithm performs decently on all OneMax problems, independently of the offspring population size. It therefore appropriately removes the dependency on the lower bound. We also evaluate our algorithm on several other benchmark problems, and show that it works fine provided the number of offspring, \(\lambda \), is not too large.
СПЕЦИФИКА ПЕРЕЛОЖЕНИЯ ОРГАННЫХ ПРИЗВЕДЕНИЙ ДЛЯ БАЯНА

In recent decades, has greatly expanded the arsenal of original works for button accordion, but the importantplace among the performing repertoire is the genre of transcription of works from the repertoire of otherinstruments. Complex analysis of transcriptions and performance-methodical recommendations becomebasis for deep understanding of ideological and figurative plan, stylistic features and rethinking of the timbretransformations, and thus the quality the work itself.Transcriptions for the button accordion include a wide range of works. Since the formation of the professionalarts of button accordion and until now, great demand is the transcription of organ works. As a significantfactor in transcription is the measure of affinity between the nature of the sound of the “original instrument”and the “recipient instrument”, organ works occupy the essential place in the concert and educationalrepertoire of button accordionists. Improved, design capabilities of the accordion allow you to successfullyadapt the multi-layered organ texture. Techniques for swinging on the button accordion fully imitate theprinciples of sound formation and reproduce the dynamic gradations of organ sounding.
Semantic Integrity Analysis Based on Transformer

At present, text semantic similarity is still a key point in natural language processing tasks. Short texts with complete semantics are more accurate when judging semantic similarity. Aiming at this problem, this paper proposes a semantic integrity analysis method based on Transformer encoder. By judging whether the sentence is semantically complete, the long text is divided into multiple short texts with complete semantics. First of all, the text is segmented, mapped to the corresponding word vector and labeled. Secondly the word vector and the annotation information are processed by the sliding window and the random undersampling. And then they are used as the Transformer input. Next the model is obtained after training. The experimental results show that the method can achieve the accuracy of 85.27%, and provide a basis for the calculation of semantic similarity work. At the same time, it can help the research of question and answer system and machine translation.
PharmaQuick: Implementation of a blockchain-based temperature monitoring system (Teaching Case)

After the revision of guidelines by the European Commission in March 2013 requiring continuous temperature monitoring of medicinal products during transport, the Swiss logistics service provider PharmaQuick faced the challenge of not only modifying their business practice to fulfill the guidelines, but also to simultaneously gain a competitive advantage with the implementation of superior technology. According to the new guidelines, the company would have to be able to provide evidence for complying with the allowed temperature ranges pre-defined by the manufacturers. Compliance for the transport of products that required low ambient temperatures usually remained unchecked, as clients of PharmaQuick refused to pay the fee for active temperature monitoring. This refusal was mostly communicated orally or unofficially, providing no hard evidence in case of a dispute.In the face of rising regulatory pressure, PharmaQuick implemented a short-term solution based on active temperature controlling and cellular data transmission with cooling trucks. However, this change multiplied the costs and, in the eyes of Dean Sprouts—business development manager at PharmaQuick, was not economically sustainable for the company. For this reason, Sprouts had to find a long-term solution that allows for compliance with the GDP’s requirements and improves transparency and traceability along the transportation supply chain at the same time. In particular, he had to assess whether blockchain technology within a cooperation with Modum constituted such a long-term solution.The presented case study is based on a fictitious company that represents a customer of the Swiss startup Modum. In this decision-based case, students are asked to put themselves in the role of the protagonist, Dean Sprout. They need to analyze the challenge faced and evaluate the solution pursued by the protagonist. The case takes place in the pharmaceutical sector in Switzerland in the year 2017. The key topics are supply chain management (SCM), external influence factors, data management, process optimization and blockchain technology (BCT).This publication represents the corresponding teaching note of the case: PharmaQuick: Implementation of a blockchain-based temperature monitoring system
Генезис и рудоносные структуры Чучкурского месторождения благородных металлов Северного Кавказа

Relevance. The Largest Chuchkur deposit in the Caucasus in the Northern Elbrus region was originally explored as a gold ore object. Additional sampling in the ore zone showed the constant presence of platinum group metals commensurate with its gold content, which allowed us to consider it as a complex (Au, Pt, Pd) noble metal. The purpose of this work: is to identify ore-bearing structures and establish the Genesis of the Chuchkur gold ore deposit. Research methods: mapping the ore load of the Northern Elbrus region at a scale of 1:25000, geological survey of the site at a scale of 1: 5000, geochemical survey and study of the ore body at a scale of 1: 2000. The ore body was studied by mineralogical mapping, mineralogical and petrographic methods. Result of work. Favorable high-altitude terrain allowed us to consider the full section of the ore structure and evaluate the genetic features of the Deposit. Metasomatic ore bodies of beresite-propylites are localized in the volcanogenic-sedimentary strata of tuffs and tuffites of the Kinyrchad suite (P1kn) of the root zone of the Permian volcano. Fluid-active ore channels break through the ore-bearing tuff strata of the lower Permian and the underlying dislocated black shales. In the underlying Devonian (D2ar) black-shale strata vein-sectioning bodies of metasomatites and beresites are developed along subvolcanic granodiorites. Activation and removal of precious metals from Devonian black shales with their deposition in Permian tuffites is assumed. The direct connection of ore metasomatism with the Permian andesite-dacite volcano allows us to define ore genesis as large-scale propylitization of acidic rocks with ore metasomatites and two facies of beresitization (beresites and beresitpropylites). Conclusion: Functionally ore-bearing black shales of the Devonian of the Chuchkur deposit are clearly manifested in two ways: on the one hand, they are ore-bearing terrigenous concentrators of noble metals (Au, Pt, Pd) with areal sub-industrial anomalies of these metals; on the other hand, they are ore-forming, performing donor functions and being a source of gold and platinoids in the Chuchkur deposit. Ore concentrations of metals in the Chuchkur deposit are formed by the hydrothermal fluid active zone of the Permian paleovolcano with the mobilization of metals from the ore-bearing Devonian black shale stratum. The noble metals of the black shales of the Devonian are mobilized and redeposited stratum in superposition areas of magmatic bodies and fluid-active deposits with the formation of industrial ore bodies.
Soil morphometrics applied to soil trenches in a contaminated site

&amp;lt;p&amp;gt;In many contaminated sites and/or sites affected by a potentially toxic element (PTE) contamination, the spatial variability of soil contamination is a very complex issue.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;This is because the history of contamination in a specific industrial site is often lost in time and with very different modifications occurring over time. It is even hidden in the case of illegal waste dumping, for which type, quantity and localization of contaminants are unknown. Thus it is not known in advance (i) the spatial distribution of contamination, (ii) the knowledge about how contaminants have been distributed over and beneath the soil, (iii) how far contaminants have been reworked during the life time of the contaminated site.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Despite these problems, it is self-evident that a detailed knowledge of the natural and the anthropogenic spatial variability of soil contamination and soil properties is of crucial importance in both site characterization and most importantly in site reclamation.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Here we claim that the analysis of soil trenches in combination with pXRF can strongly support the understanding about processes behind soil contaminant distribution and this information can then be used in the following study of contaminated site characterization.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;This contribution focuses on how to acquire detailed knowledge of the spatial distribution of contamination in an agricultural area of southern Italy, 6 ha of farmland confiscated by the Italian Judiciary due to past illegal burial of industrial tannery wastes causing potential contamination by Cr, Zn and heavy hydrocarbons (C&amp;gt;12). After indirect geophysical and radiometric (i.e. soil gamma ray emissions) prospections, 8 sites for soil profiles and trenches (10 x 1.7 m wide) digging were identified.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Over these trenches both morphological (i.e. colour, structure, plant roots, etc.) and elemental total content analysis (Olympus p-XRF) were performed. This analysis enable to identify three type of soil contaminant deposition which affected to various degree the Ap, Bw and C horizons of the investigated Silandic Andosol. The highest Cr and Zn content was found in the B horizon, where levels of 25000 ppm were measured in soil-pockets of muddy-grey materials, very likely hosting the original processing residues.&amp;lt;/p&amp;gt;
The Comparison Between the Use of Blender and 3DS Max application toward students' Comprehension of 3D Animation Subject at Vocational School in Surakarta

&lt;p&gt;Based on observations at Vocational School in Surakarta, the 3 -dimensional animated subject using 3Ds Max as the only learning tool, consequently, students find it is difficult to practice during off-class as the 3Ds Max is not free software and affordable to buy by students. Blender application maybe can be compensate for 3D Max, which has a user-friendly appearance, neatly arranged, and free. The population in this study is the students of Vocational High School. The total population was 297 students.. The sample used was 70 students. The sampling technique in this study used the simple random sampling method. The data collection technique used the pretest-posttest. The data analysis technique used is the balance test, normality test, homogeneity test, and hypothesis testing using the independent sample t-test. The results of the study are as follows. First, there are differences in students’ comprehension that can be seen from the learning outcomes between the use of Blender applications (experiment class) and the 3Ds Max application (control class). Second, the effectiveness of Blender supporting applications is higher than the 3Ds Max application in improving students’ comprehension and learning outcomes. In general, it can be concluded that Blender can be used as an alternative or can replace 3Dmax as a learning medium in 3-dimensional animated subjects. This study aims to determine (1) whether there are differences between the use of Blender application and 3Ds Max on students’ comprehension; (2) a more effective supporting applications between Blender applications and 3Ds Max. This study used an experimental method with a pretest-posttest control group design model. &lt;/p&gt;
A latency-aware max-min algorithm for resource allocation in cloud

Cloud computing is an emerging distributed computing paradigm. However, it requires certain initiatives that need to be tailored for the cloud environment such as the provision of an on-the-fly mechanism for providing resource availability based on the rapidly changing demands of the customers. Although, resource allocation is an important problem and has been widely studied, there are certain criteria that need to be considered. These criteria include meeting user’s quality of service (QoS) requirements. High QoS can be guaranteed only if resources are allocated in an optimal manner. This paper proposes a latency-aware max-min algorithm (LAM) for allocation of resources in cloud infrastructures. The proposed algorithm was designed to address challenges associated with resource allocation such as variations in user demands and on-demand access to unlimited resources. It is capable of allocating resources in a cloud-based environment with the target of enhancing infrastructure-level performance and maximization of profits with the optimum allocation of resources. A priority value is also associated with each user, which is calculated by analytic hierarchy process (AHP). The results validate the superiority for LAM due to better performance in comparison to other state-of-the-art algorithms with flexibility in resource allocation for fluctuating resource demand patterns.
An Empirical Research of Teaching English/Chinese Interpreting on Production-Oriented Approach

Core teaching theory proposed by Production-Oriented Approach (POA) is coherent with teaching goals of college English/Chinese interpreting course. POA has significant effect on improving the situation of ＂separation from learning to application＂. This article reports a teaching experiment based on POA showing the teaching design and detailed teaching process, aiming to establish a systemized and dynamic teaching model. Questionnaires and interviews were collected and conducted as the major data. There were also discussions and reflections on the teaching experiment.
ВИКОРИСТАННЯ ЕЛЕМЕНТІВ МОБІЛЬНОГО НАВЧАННЯ (НА ПРИКЛАДІ МОБІЛЬНОГО ДОДАТКУ «SOLAR WALK») У ПРОЦЕСІ РЕАЛІЗАЦІЇ ЗМІСТУ АСТРОНОМІЧНОГО КОМПОНЕНТУ ОСВІТНЬОЇ ГАЛУЗІ «ПРИРОДОЗНАВСТВО»

The article analyzes the application of mobile learning techniques during the study of astronomy. It is noted that the application of technologies of using mobile applications in the study of natural sciences gives to the subject of learning a new level of knowledge in the form of unified, sufficiently developed and universal means of obtaining and presenting various information. An aspect, in which there is an increasing need to create a system of different forms of educational work and corresponding software and hardware, is analyzed. The didactic principles that ensure the purposeful management of educational and cognitive activity of students are analyzed. Under these circumstances, the purpose of mobile learning is to focus on finding information and mastering a new subject area. That is, mobile technologies serve as means of support for communication and self-mastering of new knowledge. It is proved that the complex application of the system of program-pedagogical and telecommunication astronomy training facilities, in particular the «Solar Walk» mobile application, will significantly increase students’ curiosity in the study of astronomy, will contribute to the formation of their key competencies, the development of independent cognitive activity; will significantly improve the quality of students’ knowledge of fundamental disciplines. Using «Solar Walk» directly gives you the ability to play detailed information about celestial objects that are on a stellar sky. It has been established that in this approach, students systematically find a non-standard solution to new problems, which results in a process of independent acquisition of knowledge, mastering the experience of creative activity. The importance of teaching astronomy on the use of innovative technologies as a highly effective means of learning will not only increase the level of astronomical knowledge of students, but will also significantly affect their motivational sphere, contributing to the formation of priority education for studying astronomy.
Deep Neural Network-based Data Forgery Detection in Transportation System

Intelligent Transportation System highly relies on sensory data from a large number of instruments. The advantage of having this data is that it will lead to better transportation policies formulated by the traffic authority. In order to become useful, this data should be in the original condition. Forgery attacks by adversaries are very critical in this situation, can result in a bad decision or wrong conclusion that harms traveler's needs. We propose two approaches to detecting attacks. We adopt Generative Adversarial Network to generate fake data to perform the attacks. The first method is based on Long Short-Term Memory (LSTM) classifier, which unfortunately, only performs better in the same data distribution. Our second method is LSTM regression combined with Manhattan Similarity to separate real data from the fake one. The last model performs very promising, it has an excellent performance on the same data distribution and on unknown data distribution.
PENENTUAN MINAT BELAJAR SISWA MENGGUNAKAN APLIKASI PEMBELAJARAN EDMODO DENGAN METODE WEIGHTED PRODUCT PADA SEKOLAH SMK CERDAS MURNI

A quality school is one that can respond to public confidence, especially students in determining the chosen major at level 3, meaning how the school is able to provide the best direction and service for students so as to produce a generation that is quality in all respects. System analysis is the decomposition of a complete information system into its component parts in order to identify and evaluate problems, opportunities, obstacles that occur and the expected needs so that improvements can be proposed. System analysis is carried out after the system design stage and before the system design stage. The method used in the implementation of this research activity will be carried out with a sampling process equipped with training on the use of Edmodo-based learning applications to make decisions on student interest in learning towards subjects. The results of these decisions can be obtained by using the Weighted Product method. Learning media that is based on Edmodo can be used as an alternative in classroom learning, makes it easy for teachers to provide subject matter by interacting with students online and can monitor student activity in study groups and can conduct evaluations.
Redundancy of Hidden Layers in Deep Learning: An Information Perspective.

Although the deep structure guarantees the powerful expressivity of deep networks (DNNs), it also triggers serious overfitting problem. To improve the generalization capacity of DNNs, many strategies were developed to improve the diversity among hidden units. However, most of these strategies are empirical and heuristic in absence of either a theoretical derivation of the diversity measure or a clear connection from the diversity to the generalization capacity. In this paper, from an information theoretic perspective, we introduce a new definition of redundancy to describe the diversity of hidden units under supervised learning settings by formalizing the effect of hidden layers on the generalization capacity as the mutual information. We prove an opposite relationship existing between the defined redundancy and the generalization capacity, i.e., the decrease of redundancy generally improving the generalization capacity. The experiments show that the DNNs using the redundancy as the regularizer can effectively reduce the overfitting and decrease the generalization error, which well supports above points.
La neurociencia y su influencia en el proceso de enseñanza- aprendizaje en la educación secundaria

espanolLa capacidad de aprender de cada individuo depende de multiples factores como los sociales, economicos, endemicos, culturales, religiosos o neurologicos. El presente trabajo se basa en el estudio de la neurociencia, enfocada a los procesos de ensenanza-aprendizaje que se aplican en la educacion secundaria, con el objetivo de lograr abordar los diferentes problemas en la adquisicion de conocimientos, que afectan a los estudiantes dentro de una institucion educativa y como pueden relacionarse con el desarrollo cognitivo de los mismos. Se utilizo el metodo de revision bibliografia y documental, enfocada al metodo cualitativo para la recoleccion, procesamiento y analisis de los datos. Se obtuvo como resultado que la neurociencia influye en el proceso de ensenanza aprendizaje, permitiendo aplicar metodologias que puedan suplir las necesidades educativas de los estudiantes de secundaria, para lo que se debe capacitar a los docentes a comprender como funciona el cerebro, los procesos de metacognicion de sus alumnos conjuntamente con sus tiempos de aprendizaje. EnglishThe ability to learn from each individual depends on multiple factors such as social, economic, endemic, cultural, religious or neurological. The present work is based on the study of neuroscience, focused on the teaching-learning processes that are applied in secondary education, with the aim of addressing the different problems in the acquisition of knowledge, which affect the students within an educational institution and how they can relate to their cognitive development. The method of literature and documentary review was used, focusing on the qualitative method for the collection, processing and analysis of the data. It was achieved that neuroscience influences the learning teaching process, allowing methodologies that can meet the educational needs of high school students, for which teachers should be trained to understand how brain, your students' metacognition processes in conjunction with their learning times.