Reviewerly/exHarmony huggingface dataset:
Distribution patterns of platinoids in halogen rock masses in the Southern Urals

The Early Permian halogen formations are widely spread in the territory of the Orenburg Region. The thickness of the rock-bearing strata grows southward and southeastward, and reaches maximum values in the Pre-Ural downfold area. This study focuses on distribution patterns of noble metals in halogen strata in the Southern Urals. Geochemical sampling of the test halogen strata in the Orenburg Region was composed of the Iletsk salt deposit samples and cores from the oil and gas reservoirs in the Sakmara&ndash;Ilek, Southern Buzuluk, Sol-Iletsk and Teplovsko&ndash;Derkul (north wall of Pre-Caspian Syncline) provinces, and was supported with the relevant geological documentation. The results obtained by the authors in detection of noble metals in rock salt point at their nonuniform distribution. The highest concentrations of platinum (3128 mg/t) and gold (2064 mg/t) occur at halite in the Peschanoe oil reservoir. The maximum silver content (3079 mg/t) is observed in rock salt in the Vershinovskoe oil reservoir. The highest palladium concentration (248 mg/t) is a feature of the Akobinsk gas reservoir. The lowest concentrations of platinum (43 mg/t) and palladium (3 mg/t) are found in the samples from the Iletsk salt deposit. The concentrations of gold, platinum and palladium vary the most of halite in the oil and gas reservoir. In the Iletsk rock salt samples, the ranges of the platinum and palladium concentrations are lower by an order of magnitudes. This may be reflective of the presence of a geochemical barrier at the salt&ndash;oil interface. It is found that all noble metals have higher content. The detection of noble metals in the salt-bearing strata in the Orenburg&rsquo;s Urals have the applied relevance as the obtained results demonstrate interaction between the increased concentration of metals, halogenesis and salt tectonics phenomena.
Computer-Aided Interface Design for Real-Time Pupil Motion Detection and an Application for Physically Disabled Persons

In this study, a human-computer interface was created in C# so that individuals with physical mobility disabilities such as ALS can express their wishes. In this system created, pupil movements were analyzed and the patient's wishes were expressed both visually and audibly. In the system created for the tracking of the pupil, the face of the patient, which was detected by the camera, was detected autonomously by the system. An adaptive IR LED light source has been designed to illuminate the eye area of the user. Pupil motion detection was performed with the developed image processing algorithms. According to the movements of the detected pupil, commands were created on the user interface to express the wishes of the patient by using the location information of the patient. An application study was carried out by creating the prototype of the controlled patient bed with a 3D printer. At the end of this study, pupil motion detection was carried out using a camera without any contact with the user. With the algorithm created for pupil motion detection, it is ensured that the patient can express his wishes without the need for any movement other than eye movement. With this study, a uniquely developed algorithm that can be used in pupil tracking systems of individuals with physical movement disabilities such as ALS has been acquired.
Field test of innovative digital technical assistance systems in the outpatient and inpatient care

Abstract The tecLA project developed a modular system for the area of Ambient Assisted Living (AAL) that enables older people to have simple, intuitive access to medical and technical assistance systems. A commercially available AAL application portal has been subjected to acceptance tests and optimizations and has proven itself in field tests. Furthermore, when comparing the self-assessment values to cognitive measures before and after the intervention, a clear trend towards more positive values in the post-test was recorded. It was also shown that the use of the system has very positive effects on communication behavior and cognitive selfassessment. The nurses and doctors can follow the vital signs online in the patient's file and evaluate them immediately.
Development and implementation of project management skills in vocational institutions

The purpose of the article is to analyze the experience of developing and implementing project management skills in the process of preparing students. From the methodological field, the dynamics of students' participation in project activities and the main ways of developing the project management skill are revealed. The participants of the study were teachers and students of higher educational institutions in the age category from 19 to 24 years. The results determined that the development and implementation of the skill of managing educational projects is one of the most significant areas of the development of educational activities since this soft skill allows students to adapt to professional activities most quickly and maintain competitiveness.
Problem Definition

This chapter begins with the Socrates DigitalTM module calling the “Define Problem” process. This process identifies the problem area and gathers the problem-defining information from the user. This chapter provides pseudo-code for the subprocesses that make up the processes for Socrates DigitalTM. It has enough detail to implement the logic in any procedural and general-purpose computer programming language. This chapter shows that more questions follow after asking the user a question in many situations. The questions aimed at getting these answers are questions that target the quality of reasoning.
Architecture Design of Joint Operation Data Management Platform for Space-Ground Integrated Information Network

With the diversity and intelligence of modern warfare, new technologies such as the Internet of things and cloud computing are gradually applied to the military field. Many research institutions at home and abroad have successively proposed the concept of “combat cloud”. Space-Ground integrated information network is an important infrastructure to ensure China’s military security and economic development, is an important guarantee for the realization of military and civilian integration strategy, is the inevitable trend of the development of new era network technology. The integrated network includes a variety of complex networks, it will inevitably generate massive amounts of data in the network, such as satellite network data, battlefield environment data, intelligence resource data, etc. With the increasing development of the network, these data will inevitably show explosive growth, how to effectively manage these data will become a new problem. This article is oriented to the Space-Ground integrated information network, preliminarily designed the architecture of the joint operation data management platform, aims to store and manage combat data efficiently and provide effective combat support for modern warfare.
Context-Based Movie Searching Using Semantic Web

When searching for a movie, users often remember only the incidents happened in the movie instead of the actors or directors of that movie. However, these searches are not supported in our current movie information systems as data query is usually based on keywords. This research proposes a solution to search and query movies based on the content of the movie or the incidents happened in the movie. In our research, we have analysed and designed some movie representation models suitable for context-based movie searching. We also propose a quadruple-based representation model to resolve the disadvantages in current semantic web’s triple-based model. Our system is capable of processing user requests precisely and has proven to have advantages over current movie information systems.
Distance Learning in “Ivan Vazov” Secondary School in Stara Zagora during 2019/2020 Academic Year

The results of a survey are presented in order to support the management of the leadership of “Ivan Vazov” Secondary School in Stara Zagora to create conditions for distance learning. The results are analyzed from surveys to determine the degree of satisfaction and fatigue of teachers, students and parents associated with this school, from distance learning in the school year 2019/2020. Distance learning was introduced on March 16, 2020 by the Ministry of Education in connection with the emergency situation, announced by a decision of the National Assembly of Bulgaria and related to the COVID-19 pandemic.
Getting Your Data Into SSDforR

This chapter covers how to measure target behaviors and use common software to record and edit client data. Readers are then shown how to import data into <italic>R</italic> and use the <italic>SSD for R</italic> functions to analyze their data. The first part of this chapter focuses on the type of data that is most appropriate to record and some common issues related to collecting these. Four different types of measurement are covered, each of which has its own strengths and weaknesses. These include direct behavioral observations, standardized scales, individual rating scales, and logs. When selecting one or more methods of measuring a target behavior, readers will want to consider the specific needs of their clients, the identified problem, and the practice or research situation. The second part of this chapter demonstrates how to use Excel or other spreadsheet programs to quickly and effectively record this data.
Design and Implementation of CAPWAP Disconnection Service Maintenance in Smart Campus

The campus network adopts FIT AP+AC mode in order to improve the use efficiency of smart campus network, improve and enhance the level of campus information, and build a campus network with wide coverage, high speed, easy management and more security. This paper introduces the working principle of CAPWAP protocol, analyzes the realization process of CAPWAP disconnection business maintenance function. The test of this system shows that users can maintain normal communication when switching between different APs.
[Discussion on the application of ventilatory threshold in classification of physical workload in plateau].

Objective: To explore the application of the first ventilatory threshold (VT1) and the second ventilatory threshold (VT2) in the classification of physical workload for plateau workers, to provide reference for formulating the classification in plateau. Methods: In August 2018, 88 male workers from substations at different altitudes (500 m, 2000 m, 3000 m and 4000 m) of a company were selected as study subjects by cluster sampling. They were divided into plain group and plateau groups.The intensities of workload were simulated by power bicycle, and physiologic parameters, including VO(2), heart rate (HR) and energy metabolic rate per body surface area (E/BSA) , were recorded in test system when reaching VT1, VT2 and peak oxygen uptake (VO(2)Peak) . The ratios of VT1, VT2 and VO(2)Peak to the quiet and work potential at different altitudes were compared. Results: In a quiet state, compared with the plain group, the HR and E/BSA of the workers in the 2000 m and 3000 m groups increased, and the differences were statistically significant (P<0.05) . At VT2, compared with the plain group, the HR of the workers in the 4000 m group decreased, the difference was statistically significant (P<0.05) . VO(2) and E/BSA of workers in each plateau group were lower than those in the plain group at VO(2)Peak, and the differences were statistically significant (P<0.05) . At VT2 and VO(2)Peak, the ratios of VO(2), HR, and E/BSA relative to the quiet state of the workers in each plateau group were lower than those of the plain group, and the differences were statistically significant (P<0.05) . In the quiet state and VT1, compared with the plain group, the remaining percentages of VO(2) and E/BSA of workers in each plateau group decreased, and the differences were statistically significant (P<0.05) . Taking VT1, VT2 and VO(2)Peak as cut-off points and VO(2), HR and E/BSA as indicators, the physical workload in plateau could be divided into four levels, namely medium, heavy, extremely heavy and extreme physical workload. Conclusion: It is practicable to use ventilatory threshold to classification of physical workload. VT1 and VT2 can be applied to the classification in plateau to supplement and optimize current national standard of physical workload.目的： 探讨通气无氧阈（VT1）、第二通气无氧阈（VT2）在高原作业人员体力劳动强度分级中的应用，为制定适用于高原环境的体力劳动强度分级标准提供参考。 方法： 于2018年8月，采用整群抽样法抽取某公司不同海拔高度变电站的88名男工为研究对象，分为平原组（500 m组）和各高原组（2 000、3 000、4 000 m组），通过功率自行车模拟不同强度劳动负荷，运动心肺功能测试系统记录平原组和各高原组工人在安静状态时和到达VT1、VT2以及峰值摄氧量（VO(2)Peak）时摄氧量（VO(2)）、心率（HR）、单位体表面积能量代谢率（E/BSA），并比较平原组和各高原组工人在VT1、VT2和VO(2)Peak时相对于安静状态的比值和劳动潜力。 结果： 安静状态时，与平原组比较，2 000 m和3 000 m组工人HR和E/BSA升高，差异均有统计学意义（P<0.05）；VT2时，与平原组比较，4 000 m组工人HR降低，差异有统计学意义（P<0.05）；VO(2)Peak时各高原组工人VO(2)和E/BSA均低于平原组，差异均有统计学意义（P<0.05）。VT2和VO(2)Peak时，各高原组工人VO(2)、HR和E/BSA相对于安静状态的比值均低于平原组，差异均有统计学意义（P<0.05）；在安静状态和VT1时，与平原组比较，各高原组工人VO(2)和E/BSA剩余百分比均降低，差异均有统计学意义（P<0.05）。以VT1、VT2和VO(2)Peak为分界点，VO(2)、HR和E/BSA为指标，可以将高原体力劳动强度分为4个等级，即中等、重、极重和极限体力。 结论： 利用通气阈对体力劳动强度进行分级是可行的，建议将VT1、VT2应用于高原作业工人体力劳动强度分级，以补充和优化我国现行体力劳动强度分级标准。.
Sustainable Corporate Entrepreneurship of Publicly Traded Commercial Banks: A Developing Country Perspective

This paper aims to create empirical support about Creating Shared Value (CSV) notion developed by Porter, M.E. and Kramer, M.R. (2011). To accomplish the aim, the study has developed a set of decision rules to recognize banking products or services that can be characterized as Sustainable Corporate Entrepreneurship (SCE). This has been done by reviewing the literature of SCE, CSR, and CSV in the domain. Hereafter, it has made content analysis of annual reports of randomly selected banking corporations in light of the decision rules developed earlier. The purpose is to explain if CSV notion can be used as credible evidence of current SCE practices in the context of developing country like Bangladesh. To attain this purpose, the study has randomly selected 50 percent of the commercial banks out of 30 DSE listed commercial banks in Bangladesh. The study has found that banking corporations are engaged in SCE, though their performances on that are increasing in absolute terms (over the year), not in relative terms (over general investment). Moreover, financial performance remains constant for banks that are engaged exceptionally in SCE. Hence, the findings somewhat support the CSV notion to explain the current practices of SCE. Keywords: Entrepreneurship, Sustainable entrepreneurship, Sustainable corporate entrepreneurship, Corporate social responsibility, Creating shared value, Shared value
An Application of Remote Sensing Imagery for Geological Lineaments Extraction over Kaybarkuh Region in East of Iran

Kaybarkuh (Mount Kaybar) consists of intrusive igneous bodies with two age periods, located in North of Dasht-e-Bayaz left-lateral fault terminal. The spatial and structural analysis of fractures and dike networks may allow for the accurate identification of mineralization zones in the area. This study aims to characterize lineament network in the study area by automatic method using multispectral satellite images from Landsat 8 Operational Land Imager (OLI), visual extraction of lineaments from Landsat-8 and SENTINEL-2 images, and extraction of drainage network as lineament based on digital elevation models (DEMs) and their validation, compared with fault network of the area. The results showed that there is a significant relationship between the trend of studied lines in the region by the three methods mentioned and the overall trend is about N330⁰. This can indicate a tensile regime with a trend perpendicular to the mentioned orientation, which results from the activity of the Dasht-e-Bayaz fault. Finding more evidences requires further studies.
An Analysis of United Kingdom Schools’ Information Security Policies: A Socio-Technical Approach

UK schools collect and store large amounts of data on their students, parents, and staff. This makes them attractive targets for both external and internal attackers. To respond to and manage security risks, many schools have developed and implemented Information Security policies. This paper explores and analyses the content of 100 UK schools’ security policies with an aim to examine the extent to which these policies address security risks faced by schools. Such exploration has the potential to assess the effectiveness and the relevance of security policies. The key findings show that many security policies are primarily centered on traditional technology-focused solutions and not on threats targeting the human elements in their organisations. In addition, it could be argued that between poor readability scores and large word counts, these policies are not very accessible to staff. This paper proposes that a socio-technical approach to information security would potentially result in better understanding of the role and application of security policies in schools and, therefore, improved information security.
An Improved Cross-Camera Vehicle Tracking Method: Re-Identification Feature Matching of Confidence Based on Spatio-Temporal Information

Intelligent Vehicle Infrastructure Cooperative Systems is a key research topic in the field of Intelligent Transportation Systems; traffic object perception based on cameras is one of its foundations. Due to the development of computer vision, single-camera traffic object tracking has implemented some advanced methods, but it is still inadequate in identity matching, especially because of more similar appearance. This study uses the background of multi-cameras and the DeepSORT algorithm as the basic framework to propose a vehicle identity matching algorithm based on the re-identification features determined by spatio-temporal information. The proposed method has been tested on a benchmark dataset of traffic video, achieving great performance and verifying its validity. Finally, this paper further discusses the advantages and disadvantages of the cross-camera vehicle tracking algorithm based on joint target matching of vehicle features and spatio-temporal information, contributing to the direction of future improvement of the algorithm.
The total distance for algebraic integers having all their conjugates in a sector

Let α be a nonzero algebraic integer of degree d whose all conjugates α 1 = α , α 2 , … , α d lie in a sector | arg ⁡ z | ≤ θ , 0 < θ < 90 ° . In 2013, K. Stulov and R. Yang defined the total distance of α as td ( α ) = ∑ i = 1 d | | α i | − 1 | . This paper is organized in two parts. First, we compute the greatest lower bound c ( θ ) of the absolute total distance of α , for α belonging to twenty one subintervals of ( 0 , 90 ) . Among these subintervals, eighteen are complete. Moreover, there are two sequences of seven then nine both complete and consecutive subintervals. It is the first time that these phenomena appear: such a large number of subintervals, such a large number of complete subintervals and such a large number of complete and consecutive subintervals. These phenomena are keeping with a conjecture of G. Rhin and C. J. Smyth on the nature of the function c ( θ ) . Secondly, using the previous results and assuming that the above conjecture is true, we give upper bounds and lower bounds for the total distance involving the Mahler measure. Mostly these bounds improve those of K. Stulov and R. Yang. All computations are done by using the method of explicit auxiliary functions. The polynomials involved in these functions are found by our recursive algorithm.
Embedding from Language Models (ELMos)- based Dependency Parser for Indonesian Language

The goal of dependency parsing is to seek a functional relationship among words. For instance, it tells the subject-object relation in a sentence. Parsing the Indonesian language requires information about the morphology of a word. Indonesian grammar relies heavily on affixation to combine root words with affixes to form another word. Thus, morphology information should be incorporated. Fortunately, it can be encoded implicitly by word representation. Embeddings from Language Models (ELMo) is a word representation which be able to capture morphology information. Unlike most widely used word representations such as word2vec or Global Vectors (GloVe), ELMo utilizes a Convolutional Neural Network (CNN) over characters. With it, the affixation process could ideally encoded in a word representation. We did an analysis using nearest neighbor words and T-distributed Stochastic Neighbor Embedding (t-SNE) word visualization to compare word2vec and ELMo. Our result showed that ELMo representation is richer in encoding the morphology information than it's counterpart. We trained our parser using word2vec and ELMo. To no surprise, the parser which uses ELMo gets a higher accuracy than word2vec. We obtain Unlabeled Attachment Score (UAS) at 83.08 for ELMo and 81.35 for word2vec. Hence, we confirmed that morphology information is necessary, especially in a morphologically rich language like Indonesian. Keywords: ELMo, Dependency Parser, Natural Language Processing, word2vec
Population Initialization Methods for the Swallow Swarm Algorithm in Solving the Problem of Fuzzy Classifier Parameter Optimization

This paper considers and compares population initialization methods for the swallow swarm algorithm in solving the problem of the fuzzy classifier parameter optimization.Population initialization is important in swarm and evolutionary optimization algorithms, in which the lack of diversity in the population can lead to early convergence and to hitting the local optimum.Methods based on quasi-random sequences, chaotic maps and random value distributions were considered.The hybrid initialization method based on the normal and uniform distribution revealed the lowest classification error.The fastest convergence was shown by the method based on the beta distribution.
Analisis Pengaruh Pertumbuhan Ekonomi (PDRB), Rata-Rata Lama Sekolah Dan Pengangguran Dalam Disparitas Anggaran Pendidikan Di Indonesia Tahun 2015-2019

In the field of education every human being will experience a process. The presses are made to improve science, ability, creativity and innovation. In addition, education is able to increase economic growth, with the education sector able to increase the quality of human resources on the other hand indirectly, the old school's average increase in the quality of human resources and labor productivity so that it can reduce unemployment. The study aims to find out the impact of economic growth, the average length of school and unemployment on Indonesia's provincial education budget 2015-2019. This kind of research uses a quantitative method with the fixed effect model. The results of variable economic growth has significant impact on the education budget with a probability of 0,0019 or less than 0,05, for the average variable old school has significant impact on the education budget with a probability of 0.0022 and unemployment variable have a staggering 0.0000 or less than 0,05, and a variables of economic growth, the average long school and unemployment have a significant impact on the education budget with a probability of 0.000009 or less than a 0.05.