Reviewerly/exHarmony huggingface dataset:
2019 Volcanic activity in Alaska—Summary of events and response of the Alaska Volcano Observatory

First posted May 11, 2023 For additional information, contact: Alaska Volcano ObservatoryU.S. Geological Survey4210 University DriveAnchorage, AK 99508 The Alaska Volcano Observatory responded to eruptions, volcanic unrest or suspected unrest, increased seismicity, and other significant activity at 17 volcanic centers in Alaska in 2019. The most notable volcanic activity was an eruption of Shishaldin Volcano, featuring eruptive activity that produced lava flows, lahars, and ash. Weak explosive activity also took place at Great Sitkin Volcano and Semisopochnoi Island. Mount Cleveland had one small ash-producing eruption followed by dome growth in early January but was quiet thereafter, and flank activity at Shrub mud volcano produced new mud deposits. Other activity documented in 2019 consists of declining unrest at Mount Veniaminof after its 2018 eruption; large ice and rock avalanches at Iliamna Volcano and Mount Spurr; anomalous seismicity and an increase in degassing at Pavlof Volcano; long-term inflation at Westdahl volcano, Akutan Volcano, and Mount Okmok; steam plumes and anomalous seismicity at Makushin Volcano; elevated seismicity at Mount Martin; and resuspended ash from the 1912 Novarupta-Katmai eruption deposits.
PENGOLAHAN LIMBAH CAIR DENGAN LUMPUR AKTIF AEROBIK: STUDI KASUS INDUSTRI MINUMAN

Problems with the aquatic environment can become a serious problem if it is linked to population growth and the manufacturing industry in Indonesia, which also means the increasing volume of wastewater originating from settlements and industrial areas. If not handled properly, wastewater problems can become a potential threat to the quality of a water and become a serious threat as a cause of water pollution. Nearly 60% - 70% of the air used will be wasted as wastewater which will generally enter water bodies without prior treatment efforts, thus contributing to pollution in water bodies. The purpose of this research is to evaluate alternative waste treatment conditions using activated sludge so that can determine the effectiveness of the method on decreasing test parameters such as COD, TSS, and pH stability. Data was collected using a lab-scale check that lasted 6 months with 4 research stages. The results showed the ability of aerobic bacteria in activated sludge to reduce the content of test parameters in liquid waste so that the end result follows the Industrial Liquid Waste Quality Standard according to applicable laws and regulations.
ELECTRONIC JOURNAL OF THE FACULTY OF ARTS, UNIVERSITY OF MISURATA: AN EVALUATION STUDY

The aim of the study was identifying the reality of the electronic journal of the Faculty of Arts at Misurata University, and knowing its compatibility with the standards of a number of databases and directories of international journals. The researcher has applied a descriptive analytical approach to compare and evaluate between what was offered in the electronic journal and the indicators mentioned in the model approved by the University of Al-Quds. According to the results of the study, it was found that, despite the journal has committed to the majority of standard indicators; there is a shortcoming in its website as it needs to be modified in a way that ensures attracting readers. In addition, the receiving date, the date of announcing the publication, and the year of issuance are not documented. Moreover, the researcher's international academic number and the document DOI have not identified in the published articles. It should also be noted that the publication in the journal has ceased since the beginning of the year (2022). A number of recommendations can be suggested which might contribute to the improvement and development of scientific research policies at the Faculty of Arts, Misurata University. First, it is recommended to initiate a scientific research plan. Secondly, it is suggested to develop the faculty members' research skills and competencies locally and internationally by participating in courses designed for this purpose. Thirdly, it is important to provide research scholarships and incentives to the faculty members for publishing their aricles in the journal. Moreover, financial rewards to refereeing committees for reviewing scientific studies can be necessary in order to ensure the continuous issuance of journal. Finally, it is significant to work on classifying and indexing scientific articles in order to make it easier for researchers to access them with less time, effort and cost
Association Rule Guided Web API Complementary Function Recommendation for Mashup Creation: An Explainable Perspective

As more and more service providers encapsulate and publish their data and services on the internet in the form of Web APIs, the number of Web APIs is ever-increasing. For this reason, Web API recommendation is gaining momentum and has achieved high performance in accuracy. However, few studies paid attention to function recommendation. As an indispensable entity in the mashup-API ecosystem, function is not only the in-facto basis of API taxonomy, but also determines the compatibility and the internal construction pattern of mashup composition. Considering that users adopt multiple function invocations during a development cycle and the number of functions is also increasing, we propose the complementary function recommendation(CFR), a function-to-function problem. To solve the CFR, we regard each mashup as a transaction set for frequent pattern mining and propose an association rule-based complementary function recommendation(ARCFR) system, which provides function recommendation and corresponding probability explanation. Our experiments show that ARCFR can recommend complementary function effectively, and we give two applicable scenarios to demonstrate the practical value of our method in more aspects.
A Knowledge Graph-Based Analysis Framework for Aircraft Configuration Change Propagation

Configuration change management is an important part of the aircraft operation. Accurate and reliable analysis of the configuration status will directly affect the airworthiness of the aircraft. For the huge amount of complicated configuration data, precisely prediction of change influence scope by experience-based analysis becomes a challenge. Besides, it is still lack of a theoretically complete solution for the prediction of change propagation result from the simultaneous disturbance of multi-factors. Therefore, we propose a knowledge graph-based analysis framework for aircraft configuration change propagation, which solve the prediction problem of potential influence scope under multi-factor change. Firstly, the initial configuration items are identified according to the input change instructions, and the influence probability network of configuration items based on graph representation is constructed. Secondly, two causal pair algorithms are designed and adopted: the single factor causal pair algorithm based on Markov chain and the multi-factor causal pair algorithm based on intervention, which outputs accurate and complete change influence scope and interpretable influence propagation graph. A specific case is analyzed to verify the feasibility of the framework. Finally, We compare our framework with relevant works. The results show that the proposed method effectively solves the problem of assessing the influence range of multiple factors in configuration change, with integrity, accuracy, scalability and interpretability.
Bio inspired based Multi-objective Data-Privacy-Preservation-Technique (MO-DPPT) system model for cloud data

The significance of data security in the cloud system has boosted the increasing quantity of sensitive and personal data being harvested by data controllers.As the cloud has more outsourced, unsecured sensitive data for public access, the data security for the cloud sectors is very important.The majority of state-of-the-art strategies fail to manage optimal privacy in implementing data privacy preservation model.To ensure data privacy preservation, most of the traditional techniques can perform the transformation on the actual data.These traditional methods are utilized limitedly, as they are pretty memory intensive and complicated.Hence, to defeat this dispute, this paper tries to develop a novel approach named Multi-Objective Data-Privacy-Preservation-Technique (MO-DPPT) that can look after the data privacy issues.The two main phases of the data privacy preservation model consist of the data sanitization and restoration process.Here, the optimal key generation is based on the proposed sanitization process and it is done by a novel meta-heuristic algorithm namely the Muddy Soil Fish Optimization Algorithm (MSFOA).The optimal key generation is achieved by developing the multiobjective function that focuses on the parameters of hiding ratio (HR) rate, Preservation Ratio (PR) rate, False Rule (FR) generation rate, and Degree of Modification (DM).Moreover, the proposed MSFOA algorithm has confirmed improved execution through statistical analysis, analysis on KPA and CPA attacks, and computational time analysis over the conventional algorithms.Finally, the proposed MSFOA based MO-DPPT system model using is compared with the existing traditional algorithms namely PSO, GWO, JA, SSO, JA-SSO, and the performance analysis of the proposed MSFOA based MO-DPPT system model has proven the superior efficiency in improving cloud security.
Database development, design and trending tools

It is very important for database management system (DBMS) users to make sure there is illustration of the logical view of data using a precise data model; it includes hierarchical, network and relational models.The commercially available DBMS are based on the models but the relational product seems to have overshadowed other models.There is an effort been made to break the monopoly of the relational model which resulted in new data models like Object-oriented data model, Entity-Relationship data model, Functional data model, and Semantic data model.Also, an advance in the area of networking has given rise to database servers and its descendant, distributed databases.With this development, geographically distributed organization has its communication bills reduced significantly.For future research, database development tools may depend on the involvement of programming language researchers in databases, the impact of the object technology on the dominating relational model and whether the attempts to integrate knowledge and data bases ultimately yield commercially affordable products.
GENERAL THEORETICAL ISSUES RELATED TO ELECTRONIC OR DIGITAL EVIDENCE: PROBLEM AND SOLUTION

This article provides a scientific analysis of the concepts of electronic or digital evidence. In particular, issues related to the legal and technical characteristics of digital evidence, their collection, storage, verification, transportation and evaluation have been investigated. At the same time, the problems and gaps in the practice of national legislation and law enforcement in the field of digital evidence processing have been critically considered. Scientifically based ways and criteria for their elimination have been developed. The article is prepared on the basis of scientific and practical research and opinions of theorists and practitioners conducted in the field of working with digital evidence, as well as technical research. As a result of the research, the methodological rules for working with digital evidence have been analyzed. National legislation, investigative and judicial practice, international experience and practice have been studied, and their achievements and shortcomings have been justified in conclusions. Based on this, the most optimal criteria for law enforcement entities to collect, verify and evaluate digital evidence have been developed. The article analyzes the problems in this area from a systematic, legal, scientific and methodological point of view and provides conclusions on this issue. At the same time, issues related to ensuring the admissibility of digital evidence, its identification and authentication, verification and evaluation of expert opinions are also covered. Scientifically based proposals and recommendations have been developed for the legislator and the subjects applying it.
CHARACTERISTICS OF WORKING WITH DIGITAL EVIDENCE IN CRIMINAL INVESTIGATION

Digital evidence is one of the most effective means of administering justice in modern society. It simply depends on the types of digital evidence and how to use them. Therefore, this article focuses on the general concept of digital evidence, its sources and collection of digital information in criminal investigations, the basic principles of working with digital evidence, and the specific criteria for ensuring the integrity of digital evidence and evaluating them in investigative and judicial practice. In order to highlight these issues, modern procedures created by international organizations, developed countries and best practices have been used, and their advantages and disadvantages have been analyzed. In addition, problems in national practice and legislation on working with digital evidence have been systematically analyzed and practical solutions have been developed. The purpose of this article is to describe the state of digital evidence practice in the Republic of Uzbekistan and to apply experience of developed countries and best practice for future laws, procedures, guidelines and instruction on these issues, also to make recommendations on the development of digital evidence norms in accordance with international standards and law.
Determination of Communication in the Organization: Non Verbal, Oral and Written (Literature Review)

Literature review article on the influence of non-verbal, oral and written on communication is a scientific article that aims to build a research hypothesis on the influence between variables that will be used in further research, within the scope of communication science in organizations. The method of writing this Literature Review article is the library research method, which is sourced from online media such as Google Scholar, Mendeley and other academic online media. The results of this Literature Review article are that: 1) Non-verbal influences on communication; 2) Oral effect on Communication; and 3) Writing has an effect on Communication. Apart from these 3 exogenous variables that affect the endogenous variable Communication, there are still many other factors including the Competence, Environment and Skill variables.
A cross-Tenant access control with efficient tenant revocation using CRMS scheme in cloud computing

Sharing of assets on the cloud can be accomplished on a huge scale since it is savvy and area free.Notwithstanding the exposure enveloping conveyed processing, affiliations are up 'til now reluctant to send their associations in the appropriated figuring condition in view of stresses in secure resource sharing.Right now, propose a cloud resource mediation advantage offered by cloud expert centers, which expect the piece of trusted in untouchable among its particular inhabitants.This paper officially decides the advantage sharing framework between two novel tenants inside seeing our proposed cloud resource intercession advantage.The rightness of approval authorization and task part among different inhabitants using four unquestionable estimations (Activation, Delegation, Forward Revocation and Backward Revocation) is in like manner showed using formal affirmation.The execution assessment suggests that sharing of benefits can be performed securely and beneficially transversely over different occupants of the cloud.
Focus Group Discussion (FGD) “Pencegahan Fatalitas

The Ministry of Health is promoting community empowerment through the Community Movement (Germas) to care for health, one of which minimizes the death of accident victims, especially on the streets (traffic). Communities that are often exposed to traffic accidents need to gain knowledge and skills in handling emergency cases to minimize the fatality of traffic accident victims before victims get further assistance at the nearest health facility (puskesmas and or hospital). The method of implementation is done by the method of observation, coordination, program socialization, program implementation. From the evaluation results it was found that the success of the target number of FGD participants can be considered very good, given the target number of participants as many as 100 people, while in the implementation of activities that were present as many as 129 people. The ability of participants in mastering the material can be judged quite good (70%), this is because the delivery of material and simulations are short with limited time so that it can cause participants to not understand the material presented by the resource persons. This service program is expected to be sustainable to improve the understanding and skills of citizens from various circles to be able to handle traffic accident victims according to their competence.
Mining facets for queries from their search results using QD miner

Query Faceted search is a technique for searching users to find, analyze, and navigate through search data form online web pages.It is generally utilized in internet business and computerized libraries.A compelling methodology for aspect search is the extent of its usage.Most existing faceted pursuit and features age frameworks are based on a particular space or predefined aspect classifications.Aspect chains of importance are created for an entire assortment, rather than for a given question.Proposed aspects scanning framework for data disclosure and media investigation in online indexed lists.Right now, framework investigates to naturally discover inquiry related part of quest for shopping-area inquiries in web crawler.Features of an inquiry are consequently mined from the top web indexed lists of the question with no extra area information required.As inquiry aspects are acceptable synopses of a question and are possibly valuable for clients to comprehend the inquiry and assist them with investigating data.
Detrimental Implication of Micromanagement

The concept of micromanagement might appear suitable to managers, but it does more harm to employees than good. This study examined the detrimental implication of micromanagement on employee performance by obtaining data from one hundred and eighty-six non-teaching staff of a public school in Nigeria. A statistical package called RStudio was used to analyze the data. The study discovered that micromanagement harms employee productivity, retention, and satisfaction. The study suggests that managers should ensure employees have maximum autonomy when assigned tasks.
AN OPTIMIZATION-BASED ARTIFICIAL INTELLIGENCE FRAMEWORK FOR TEACHING ENGLISH AT THE COLLEGE LEVEL

Owing to the rapid evolution of digital technology, learning, and computing breakthroughs among students are beginning to converge. The current method of English language teaching is considerably different from the traditional method. This quantitative, quasi-experimental research offers a strategy for incorporating Artificial Intelligence (AI) in college English teaching. The participants in the study consisted of 100 bachelor-level students studying at a constituent college of Tribhuvan University, Nepal. The participants were selected using simple random sampling and divided into two groups: the study group and the control group. I employed a questionnaire and test as the instruments to collect the data. The collected data was analyzed using SPSS 2.0 which is a tool for analyzing quantitatively challenging data. To check the reliability and effectiveness of the prediction, I assessed the model's criteria, designed a comparison test, and conducted a survey questionnaire. The evidence shows that Enhanced Whale Hyper-Tuned Artificial Neural Network (EWH-ANN) EWH-ANN can be employed to optimize English instruction at the college level in general and verbal improvement in particular. It can make English teaching more efficient and customized to fulfill individual students' necessities. The study concluded that The Whale Optimization Algorithm (WOA) can be used to tune the hyper-parameters of Artificial Neural Network (ANN) to improve the accuracy of the operation.
Self-Learning Techniques in Chinese Students in English as a Second Language

This research investigates the listening issues and techniques that Chinese students deal with in English as a Second Language (ESL) listening comprehension lessons. This study employs semi-structured interviews with three Chinese students who are learning ELC at a Malaysian university. The study found that Chinese ELC students used certain self-learning techniques and had issues that needed to be addressed before, during, and after listening. As a result, this study will provide teachers with crucial knowledge about how to support these students' ELC in a way that is effective, efficient, and enjoyable.
Identifying Factors Contributing to Students’ Obstacles in Comprehending Recount Text

This research was conducted to find out the difficulties faced by students in understanding recount text, and the factors that cause these difficulties. To obtain data in this study, the researcher used two data collection techniques, namely observation and interview. Observation is used to collect data in class during the teaching learning process. Interview is intended to identify the causes of the students’ obstacles in understanding recount text. There were 6 students at eleventh grade of SMAN 1 Nisam who were used as subjects in this research. 2 students who have high academic achievement, 2 medium and 2 low. The result showed that they had many difficulties in understanding recount text, both internal and external factors. The internal factor is the lack of motivation. Besides, they also have difficulties in understanding the sentence structure in recount text. In addition, they also lack of vocabulary mastery, it makes them difficult and take a long time to understand a text in English. The external factors that cause their difficulties in understanding English texts are the lack of attention from their parents towards their achievement, especially towards English achievement. They also only have a little time to learn and practice English at their home because they are busy with other activities. The lack of supporting facilities such as English reading materials and dictionaries, it is also one of the factors causing students’ difficulties in understanding recount text.
Pengaruh Profesionalisme Guru, Penggunaan Media Daring, Dan Keaktifan Siswa Terhadap Kepuasan Belajar Siswa Jurusan AKL SMK IPIEMS Surabaya

Researchers carried out research in order to identify and test the variables of teacher professionalism, use of online media, and student activity on student satisfaction in the AKL major of SMK IPIEMS Surabaya, either partially or simultaneously. This type of research is quantitative. Data was collected using a questionnaire method and multiple linear regression data analysis techniques using IBM SPSS v.25. Based on the research that has been done, the results obtained are: (i) teacher professionalism with a sig. 0.980&gt;0.05 has no effect on learning satisfaction, (ii) the use of online media with a sig value. 0.000 &lt;0.05 has an influence on learning satisfaction, (iii) student activity with a sig. 0.134&gt;0.05 had no effect on learning satisfaction, and (iv) teacher professionalism, use of online media, and student activity with a sig. 0.000 &lt;0.05 and R2 of 0.177 have a simultaneous effect of 17.7% on student learning satisfaction.