Reviewerly/exHarmony huggingface dataset:
Scenario-based Earthquake Early Warning empowered by NDSHA

&amp;lt;p&amp;gt;For the concept of next-generation Early Earthquake Warning (EEW), the core idea is to combine EEW with seismic hazard assessment. In other words, to perform rapidly the computation of seismic hazard after the occurrence of an earthquake is detected and then to issue accurate warning, including lead time and potential seismic hazard level, to different end-users, e.g., railway system, working nuclear power plants and precision surgery in progress. We propose a scenario-based EEW by using the physics- and scenario-based hazard assessment, well known as Neo-deterministic Seismic Hazard Assessment (NDSHA). NDSHA can reliably compute the physically possible maximum ground motion response, including Maximum Credible Earthquakes (MCEs). In the framework of NDSHA, the general unit of processing time ranges from minutes to seconds, depending on the size of the study area and on the amount of computations. When the structural spectral information is available, the processing time significantly drops to a few seconds. Accordingly, a NDSHA scenario-based EEW relies on a hazard database, made by a collection of Modified Mercalli Intensity (MMI) maps, prepared and stored in advance. The establishment of such a hazard database is to consider all possible earthquake scenarios around target source zones based on now-available geophysical knowledge. Taking Xianshuihe (XSH) fault as an example, the six steps of the procedure to build the necessary hazard database could be the following: (1) definition of seismogenic zone; (2) definition of the first scenario source; (3) determination of source parameters; (4) determination of structural models; (5) computation of synthetic seismograms from the first source; (6) repeat (1) ~ (5), to travel all sources. Steps 1 to 6 allows us to obtain final (3264 in our case) results, i.e., the MMI maps for the adopted earthquake scenarios, which should be well representative of the potential earthquakes related to XSH.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;As a first-order approximation in the construction of the hazard database, we assigned a characteristic focal mechanism for each cellular scenario earthquake. Once the hazard database is available, effective warning can be quickly issued to different end-users by selecting the suitable MMI map in the hazard database.&amp;lt;/p&amp;gt;
Understanding Machine learning Applications in Cancer Prognosis and Early Detection

Abstract: Machine learning and deep learning technologies have seen a recent growth in trend towards their applications in personalised and predictive medicine. The ML models are designed with an aim to supervise the progression of cancer within a patient and aid in its treatment. Cancer is quite a diverse condition, which means that an early diagnosis and timely screening is instrumental for treatment. An array of popular ML techniques is used in Cancer Prognosis including and not limited to Artificial Neural Networks, Decision Trees, Support Vector Machines, Bayesian Networks and other Deep Learning approaches. Each of these methodologies contribute to the development of predictive models. Each model developed is expected to substantially improve the accuracy of susception and recurrence prediction. However, a number of published studies that appear to have build over these models lack validation and/or appropriate testing. In this review, we analyse and present a view on recent development of ML approaches that are applied in Cancer Prognosis and Prediction modelling. Keywords: Machine Learning, Cancer Prognosis, Cancer Detection, Deep Learning, Artificial Intelligence
The Auxiliary Function of Intelligent Mobile Robot in the Standard Training of Children’s Sports Movement

Mobile robots belong to mechanical devices. Mobile robots are commanded by humans and restricted by the principles established by artificial intelligence technology, mainly to assist humans in dangerous tasks. Intelligent mobile robot is a system that integrates perception, analysis, and decision-making, and it integrates a number of high-end technologies. It is currently the most active field of technological development. Infant sport is essentially a process of cultivating and caring for the physical fitness of children. This article aims to explore the auxiliary role of intelligent mobile robots in the standard training of children’s sports movements. The physique of the early childhood stage is closely related to the entire life stage. Once there is a deviation in the early childhood training stage, there will be very serious consequences. Therefore, the mobile intelligent robot is combined with children’s physical training, and it is expected that it will give correct guidance to improve children’s physical fitness. This article briefly designs the mobile robot, uses two independent wheels and a robotic arm with degrees of freedom, and analyzes the forward and inverse kinematics of the chassis and the robotic arm, which provides a theoretical basis for the design of the control algorithm. This article will focus on the training of children’s sports, explore the current deficiencies in children’s sports, and analyze the reasons and the role that intelligent mobile robots can provide in sports training. The experimental results in this paper show that the balance ability of children standing on one foot with eyes open is mainly distributed in the second, third, and fourth levels. Among them, the second level has the largest number of people, accounting for 52%, the third level accounts for 27%, the fourth level accounts for 22%, and the other levels are less distributed. When the intelligent mobile robot assists children’s movement, the child’s balance ability is generally distributed in the fourth and fifth levels. Among them, the fourth level has the largest number of people, accounting for 52%, followed by the fifth level, accounting for 26%, and the third level accounting for 14%. This shows that the intelligent mobile robot is effective in guiding the movement of young children.
THE POSITION OF SOURCE CULTURE IN THE CURRENT EFL TEXTBOOKS IN INDONESIA REFLECTED IN 3 RESEARCH FINDINGS

This research is motivated by the author's tendency to use source culture as the material. So that books and journals that become teaching materials contain a lot of source cultural material as material in the teaching and learning process between educators and students. Based on this background, the authors are interested in examining more deeply with research questions, namely why book authors tend to take source culture as material and what are real examples of cultural values reflected in textbooks.The research method used in this study is a qualitative research method with the type of library research. Thus the data collection method used is observation. Observations were made on three journals that have been selected as data for analysis, namely analysis of the cultural content of third grade English textbooks in Cianjur, West Java, Cultural content in Indonesian case English teaching textbooks (ELT), Analysis of cultural content in Pathway textbooks. to English for the second grade of high school. The theory used as an analytical knife is the theory of Cortazzi and Jin (1999) which examines culture. The results of the analysis show that there is a tendency for the authors to choose local culture as a teaching material, as evidenced by 13.11% in Faris journal
Educational and scientific potential: humanitarian challenges of the XX

The article reflects the key problems of humanitarian-scientific discourse characteristic of the modern educational environment. Sociocultural realities dictate new rules and conditions for the development of all spheres of social activity. The educational and scientific sphere is no exception, as a rule, which is rather vulnerable to various types of transformations. Globalization of the current civilizational progress as a strategic constant and a short-term, but significant impact on the values of society associated with the pandemic COVID-19 - had a direct impact on the processes in education and science. At present, the issues of transforming certain attitudes that will allow not to lose the educational-scientific potential, but to continue its development already in the new conditions are actualized. Among the fundamental shifts in the humanitarian sphere of modernity, we note increasing dynamism of educational process and scientific research (linear thinking demonstrates an inability to respond quickly to changes), the actualization of interdisciplinary discourse (challenges facing society are complex in their essence and to solve them. based on the integration of scientific knowledge), the influence of informatization of education and science on humanitarian and moral standards of these branches (application of new information and computer technologies.The article aims to develop a clear system of methodologically axiological settings in modern humanitarian-scientific discourse. The general scientific methodology was used to achieve the set tasks. Using the method of analysis, the main criteria for the proposed attitudes have been achieved. The philosophical-scientific methods of synergetics and dialectics allow evaluating the results and problem aspects of the implementation of value orientations to the humanitarian discourse of today.Practical elements of the obtained results of the article can be used as methodological recommendations for the working curricula at all educational levels and value components of scientific research. Consequently, dynamism, interdisciplinarity, integration, informatization, and humanization are the attitudes that contribute to the functioning of an effective system of education and science both in the global-civilization dimension and in the national-identity dimension.
Review Paper Graphical Password Authentication Technique for Security

Abstract: In modern age user authentication is a mandatory attribute in the area of data security. The characteristics of finding an individual generally based on a user id and password which is commonly used methodology for identifying users in system. Text based password is a general authentication method used from early times. There are numerous authentication systems like biometric, textual, graphical, smart card etc. Graphical password is an alternative to alphanumeric password which is tough to remember and generally forget by users as times passes. But in graphical password there is less probability to disremember password because people generally remember images more effortlessly than text based password. There are also fewer probabilities for intruder to take the graphical based password because hackers will not be capable to access the images uploaded by the user as password. Some graphical password schemes have been intended so far as it grows password usability and security. In this paper, we manner a wide survey of the current graphical password methods. Keywords: Graphical password, Text based password, usability, security, Attacks, Authentication
Readiness Level of Elementary Schools in Berkoh Purwokerto Selatan, in Implementing E-Learning during the Pandemic

Abstract. The Covid-19 pandemic has an impact on the world of education, namely the use of technology for learning. This study aims to determine the level of readiness of E-Learning in three elementary schools in the Berkoh Village. Survey research method, using a sample for the entire population. Participants come from the principal and teachers. The questionnaire instrument was used to measure the readiness to use learning technology, the readiness of infrastructure in schools, the readiness of school organizations, and additional information. Retrieval of data as much as 15 samples from 21 total populations. Data processing techniques and data analysis using descriptive statistical methods. From the four indicators of readiness, Of the four indicators of readiness coded into a readiness value. Results SDN 1 Berkoh Not ready needs a lot of work, SDN 2 Berkoh is Ready but needs a few improvement, and SDN 3 Not ready needs some of work
PERANCANGAN APLIKASI WAREHOUSE MANAGEMENT DENGAN PENDEKATAN METODE FUZZY MAMDANI

Company PT. Loyal Indonesia Utama, is engaged in the production of switches, sockets, sockets, plugs and cable boxes located in Serang Regency, there are some parts of the data collection process that still use the speedsheet application and some are still recorded using a manual form. The problems found in this research are in the warehouse section where there is still inappropriate production planning, delivery of goods and receipt of goods is not scheduled and recorded properly, discrepancies between stock and physical data are found. To increase the accuracy and precision in the calculation of goods, one of which is the support of technology and information systems according to needs. Where data can be processed and processed so as to produce information to support good decisions, this research offers a solution by designing a Warehouse Management system application where the application development uses the RAD method, system development modeling used is the Unified Modeling Language, in making this software using the PHP programming language with the CodeIgniter Framework and for data storage using MySQL DBMS which is used to create application, The method for solving problems in the research used is Fuzzy Mamdani (Min-Max) to determine the amount that must be available in the warehouse.&#x0D;
Study on the Influence of Slope Shape on the Development of Ephemeral Gully Based on UAV

&amp;lt;p&amp;gt;In order to explore the influence of slope shape on the development of ephemeral gully, 225 ephemeral gullies were obtained by visual interpretation based on the unmanned aerial photography of Langerzigou in Jingbian County, Shaanxi Province. The number and length of ephemeral gullies, the distance from the gully head to the watershed and the gully density were calculated. The original slope DEM was obtained by interpolating the elevation points on the ephemeral gully watershed, and the DEM was used to extract the terrain curvature to describe the hillslope shape, and then analyze the relationship between the slope shape and the ephemeral gully index. The results showed that: (1) the DEM after the elevation point interpolation on the ephemeral gully watershed was used to synthesize the ephemeral gully, which can well describe the original slope topographic features before the development of the ephemeral gully. (2) From the point of view of single slope shape, the gully density of the transverse concave slope was the highest, and the number of ephemeral gullies, the average distance from the gully head to the watershed of the longitudinal concave slope were the largest. the average length of the ephemeral gully and the number of the longitudinal convex slope were the largest. From the point of view of the combined slope shape, the average length of the ephemeral gully and the average distance from the gully head to the watershed on the biconvex slope and the convex slope were larger than those on the biconvex slope and the concave-convex slope. The ephemeral gully length of double concave slope was significantly different from that of double convex slope and convex concave slope &amp;lt;em&amp;gt;(&amp;lt;/em&amp;gt;&amp;lt;em&amp;gt;P&amp;lt;/em&amp;gt;&amp;lt;0.05); The ephemeral gully length of concave convex slope was significantly different from that of double convex slope and convex concave slope (&amp;lt;em&amp;gt;P&amp;lt;/em&amp;gt;&amp;lt;0.05); There was a significant difference in the distance from the trench head to the watershed between the concave convex slope and the concave convex slope (&amp;lt;em&amp;gt;P&amp;lt;/em&amp;gt;&amp;lt;0.1). (3) The curvature distribution characteristics of different forms of slope shallow ditch development were analyzed.&amp;lt;/p&amp;gt;
The Impact Of Task-Based Activities In Reading Skill For The Students During Covid 19 Pandemic

This study aims to investigate the impact of using task-based activities in reading skill for the eight students of junior high school of SMPN 4 MDN. Quantitative research was employed in this research. It was quasi experimental research design which used pre-test – post-test control group design. The population of this research were the eighth grade students of SMPN 4 MDN. The samples of this research were 8B as experimental class and 8C as control class. The sample was taken by using random sampling. In collecting the data, the researchers used reading test. The researcher used independent t-test on SPSS version 21 to analyze data. The results shows that the students who are treated by using task-based activities are more effective than the students who are treated by using conventional teaching. It means that teaching reading by using task-based activities gives a better influence on students’ reading skill.
Strategic Planning of Information Systems and Information Technology by applying the Tozer Methodology to The Lampung Betacom Pawnshop

Betacom is one of the pawnshops established since 2017, which is engaged in the service of distributing loan money to the public based on pawn law with electronic goods guarantees such as mobile phones, laptops, TVs, and so on. In carrying out its business processes, Betacom pawnshops have implemented information systems and information technology but are still not optimal, have not been integrated with each other and are not in line with the mission vision and business strategy of Betacom pawnshops. Therefore, proper strategic planning is needed. This strategic planning will be carried out using the Tozer method, to produce a strategic planning model of information systems that can support and improve the business processes of Betacom pawnshops. This research aims to improve the quality of business processes and SI / IT that can answer solutions to problems that occur. The output resulting from this research is in the form of recommendations for the results of strategic planning of information systems that can be used in the future.
Strategic Planning of Information Systems Using IT Balanced Scorecards on KSU Talenta

Information Systems Strategic Planning is one of the determining aspects for companies in achieving goals in this digital era. One type of business that requires Information System Strategic Planning is businesses that interact directly with customers or customers related to improving services. Talenta Savings Cooperative (KSU) is one type of business that needs it, this is because information technology can improve the quality and quality of services provided to customers so that the company is ready to compete in the era of the industrial revolution 4.0. Most of the service processes at KSU Talenta are still using manual techniques. This research is qualitatively descriptive where data collection uses observation techniques, interviews, and documentation. While the method of discussing strategic planning of information systems using IT Balanced Scorecard, by conducting assessments on 4 (four) perspectives, namely, user orientation perspective, company contribution, operational improvement, and future orientation. To clarify the comparison between real conditions in the company and the ideal condition of information systems, the author also describes it using the Gap Analysis method. The result achieved is the availability of information system application series suggestions at each level of management. This strategic planning is also expected to be able to answer every need of the company in achieving existing goals.
Male and Female Students of English Department of State University of Medan in Compliment Responses and Their Meanings

Giving and responding to compliments can be a challenge for non-native speakers whose social attributes are different from those in the target language culture. Complimenting is one of the most important speeches used to negotiate interpersonal meaning and to build and sustain rapport and solidarity among speakers. This study is to investigate the types of compliment responses (CR) and the meaning of the compliment responses realized by male and female students. The respondent of the study is the English Department students for six semesters. The total respondents of the study is 70 students consisting of 30 males and 40 females taken by random sampling technique. The Discourse Completion Test (DCT) is used to collect the data. The data are analysed descriptive qualitative technique. The results of the research show that a) almost all types of compliment responses are used by males and females except the comment history type but they are different in types and frequencies, b) like types of compliment, males and females also use a significantly different way to realize the meaning of compliment response, especially in terms of frequency, for example, more female use comment acceptance than male.
Using AE based Machine Learning Approaches to Forecast Rupture during Rock Deformation Laboratory Experiments

&amp;lt;p&amp;gt;Parametric analysis of laboratory Acoustic Emission (AE) during rock deformation laboratory experiments has revealed periodic trends and precursory behaviour of the rupture source, as crack damage nucleates, grows and coalesces into a fault zone. Due to the heterogeneity of rocks and the different effective pressures, finding a full prediction of rupture mechanisms is still an open goal. We consider the AE rates and the derived source mechanisms to constrain the stress-strain regime, while scattering and seismic velocity structure define the evolving medium state as the most important attributes for the neural network model to learn. 4x10cm samples of Alzo granite were deformed at confining pressures of 5-40 MPa, whilst AE are recorded. Source mechanisms, as well as AE rates with relation to incremental strain, highlight distinct pre-failure phases. Scattering and seismic velocity measurements indicate the evolving mechanical conditions. A 10MPa simulation test on a model trained with data from 5, 20 and 40 MPa highlights good accuracy when predicting sample failure.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;It remains a challenge to generate a &amp;amp;#8216;generic&amp;amp;#8217; model that can be applied over all experimental conditions. Nonetheless, estimation of parameter importance has highlighted that some physical parameters are better for predicting strain, whilst others are better at stress. This importance can vary in time, suggesting a strong sensitivity of AE properties to the dynamic conditions of the fault zone. Small input changes can strongly affect output, therefore multiple models need to be trained in order to confirm the stability of the forecast. We aim to improve the understanding of the analysis through the search of repeating trends and the identification of consistent variations in key time-varying trends. Seismic scattering shows an early relevance, interpreted as due to the breakup of low frequency surface waves as microcracks begin to coalesce. However the reduction of importance at the later phases of deformation is less obvious. Further investigations are needed to identify at which deformation stage individual parameters are more important and segment time series accordingly.&amp;lt;/p&amp;gt;
Improving Portfolio Performance via Natural Language Processing Methods

Recent natural language processing (NLP) breakthroughs have proven effective for addressing many language-directed tasks, such as completing sentences and addressing search queries. This technology has been successfully implemented by tech firms including Google and others. An important element consists of language embeddings linked to pretraining systems. This article describes NLP concepts and their application to portfolio models via a modern version of sentiment analysis. The authors demonstrate the advantages of employing information from Twitter along with the NLP for constructing a portfolio of stocks, especially during unusual events such as the COVID-19 pandemic.