Reviewerly/exHarmony huggingface dataset:
Trusting in Science: Automating Quality Checks in Publishing and Beyond

MODERATOR: Heather Staines Delta Think Trumbull, Connecticut Leslie McIntosh Ripeta St. Louis, Missouri SPEAKERS: Cynthia Hudson Vitale Association of Research Libraries Washington, DC and Ripeta St. Louis, Missouri Chris Graf SpringerNature London, England Gerardo Machnicki Independent Professional Buenos Aires, Argentina Leslie McIntosh REPORTER: Ruth Isaacson Genetics Society of America Rockville, Maryland Discussions around open science and reproducibility have taken center stage these past years with more focus on the importance of trust in science. This session offered an opportunity to look at initiatives involved in upholding and supporting our trust in science. Leslie McIntosh, CEO of Ripeta, moderated and spoke at the CSE session on Trusting in Science and shared how Ripeta is using a combination of automated and manual quality checks of submitted manuscripts. Ripeta focuses on indicators of “Trust” to evaluate research articles along axes of professionalism, integrity, and reproducibility. Professionalism and integrity checks examine the structure of the research article itself. Is the research article in a standard format (clear hypothesis, sections, etc.)? Does it contain the content and declarations you would expect to see in a valid research article (data availability statement, citations, data availability, declarations of conflicts, etc.)? Automated checks also focus on authors of scholarly work, with an eye toward verifying identity and qualifications. The natural assumption about a peer-reviewed publication is that the author is a scientist who possesses knowledge beyond that of a lay person and is qualified via their education, training, or experience.1 Among many items, the system looks to […]
The Event Analysis of Systemic Teamwork Broken Links (EAST-BL)

The Event Analysis of Systemic Teamwork-Broken Links (EAST-BL) method is a systems thinking-based risk assessment method that can be used to pro-actively identify the risks associated with information communication failures in safety critical systems. This chapter provides an overview of the EAST-BL method followed by step-by-step guidance on how to apply it. The main advantages and disadvantages of applying the method are described along with any related methods, training and application times, reliability and validity evidence, and recommended reading. A case study analysis focused on darknet marketplaces is used to demonstrate the method and its outputs.
Successful Security Negotiation Skills

This research addresses the security negotiation and how to practice it expertly and subtly during security crises and situations. Security negotiation is an effective way to put an end to security crises and situations most easily and cost-effectively. At other times, negotiation initiates between the police and the other party, but it fails due to the failure to we shall explore the scientific principles. In this research, we we shall explore the scientific principles of successful security negotiation skills to be adopted during security crises and situations. The research topic includes the nature, fundamentals, preparation, and planning of security negotiation. Afterward, we move to the management of the security negotiation process including the security negotiation sessions, negotiation strategies and tactics, and the completion of the negotiation and the signing of the agreement. The researcher reached a set of Among the findings, the study revealed that. Negotiation is an important means used to solve a security crisis before force is used. The research recommendations, include keenness to end the crisis or the security situation by negotiation, as it is better than ending it by force, as it spares the two parties from human and material losses.
HTML5 PDF FLIP ELECTRONIC MODULE ON VIRUS CONCEPT FOR HIGH SCHOOL STUDENTS

Electronic module based on PDF FLIP HTML5 is a form of presenting independent teaching materials that are systematically arranged into electronic format and make all the contents interactive. The purpose of this study is to describe an electronic module of teaching materials that can be developed about the concept of a virus in high school. This study uses the Research and Development method with a 4D model, that is limited to develop phase. The results of the validation of the developed electronic module are declared valid from an average validity of 83.87%. The results of the practicality of the response of 9 students obtained results of 82.02% and were categorized as very practical.
Textile Wastewater Treatment Modelling and Design Using Stoat Graph and Summary Statistic Model

Without properly treated wastewater released from the textile industry contains organic and inorganic pollutants that cause environmental problems like water body contamination, which causes marine life disappearance, soil contamination, and air pollution. Treatment of textile industry wastewater is difficult due to pollutant types existing like BOD, COD, toxic heavy metals, organic particle matter, inorganic particle matter, color, etc. The multi-component wastewater pollutant needs proper designs to remove such pollutants. Dire Dawa textile wastewater treatment plant (design) and simulation was the objective of this study. The method of this study was experimental and software modelling. STOAT model software is the best capable of simulation treatments plants, and the time to complete the simulation was 3 days. The STOAT graphic and statically data analysis model efficiently removed the multi-components of pollutants effluent from Dire Dawa textile industry. Some pollutant parameter measures before design model are SS 350 mg/L, DS 2000 mg/L, ammonia 55 mg/L, BOD 350 mg/L, nitrate 0 mg/L and DO 12 mg/L. The effluent of wastewater treatment plant model simulation results are 2 mg/L SS, ammonia 8.82 mg/L, BOD 2.5 mg/L, and nitrate increases from 0 to 58 mg/L by ammonia oxidation. Totally 98.7% SS, 99% BOD, and 84% ammonia were removed in the design model. In the sludge outlet, nitrate contents increase due to nitrification being processed rather than denitrification.
Anemia prevention in adolescents through the education of balanced nutrition and adherence to blood supplement tablets

Anemia is more common in adolescent girls than adolescent boys, with a prevalence of 26.8% in this age group. The purpose of this program is to increase adolescent knowledge about balanced nutrition and compliance in consuming blood- supplement tablets to prevent anemia. Youth counseling is used to carry out this program. The program's outcomes revealed an improvement in understanding about anemia and balanced nutrition, as well as adherence with the consumption of blood supplement tablets.
Comparison of virtualization methods at operating system level

The aim of the work is comparative analysis of three tools for application container’s orchestration: Kubernetes 1.2.2, Docker Swarm 1.24 and Nomad Hashicorp 1.2.0. For this purpose, test application was implemented, responding requests, then it was contenerized using Docker. For each tool, the scenario aimed at measuring pods startup time. The research was repeated three times. During each repetition number of replics were increased. Simultaneously with startup time test, CPU load and memory strain were measured. In comparison also time of regeneration was taken into consideration, what was realized by gauging time of response for GET request. The analysis showed that Docker Swarm in terms of most of the criteria examined in this work turned out as the best orchestration tool.
Gambaran Pengetahuan Golongan Darah Untuk Memenuhi Kebutuhan Transfusi Darah

Blood type is a genetic substance that is inherited. Each individual has the characteristics of blood groups A, B, AB and O, until now known blood types are accompanied the information Rhesus (Rh) + and Rhesus (Rh) -. Several cases that often occur in Wedomartani Village are blood loss from community members that cannot be resolved and the community's lack of knowledge about blood types when blood transfusion activities will be carried out. The purpose of this study was to determine the description of blood type knowledge to needs of blood transfusions. The population study was 35 families, and the sample data were 100 people. The data collection method was by distributing questionnaires containing several questions related to blood type knowledge, data analysis using the univariate method. The results obtained are as many as 100 respondents have sufficient knowledge about the importance of blood type for the need for blood transfusion by 48%. The conclusion is the description of blood type knowledge to needs of blood transfusions from the people of Wedomartani Village,in the sufficient category, this category is influenced by educational background, gender, age, and occupation of the community. Suggestions from the research are that there is a need for follow-up in the form of socializing activities about meeting the need for blood transfusions, along with checking blood types in Wedomartani Village.
A strategy to control industrial plants in the spirit of Industry 4.0 tested on a fluidic system

&lt;!--[if gte mso 11]&gt;&lt;w:PermStart w:id="667698911"&#x0D; w:edGrp="everyone"/&gt;&lt;![endif]--&gt;&lt;p class="Abstract"&gt;&lt;span lang="EN-US"&gt;The goal of the paper is to propose a strategy of automating the control of wide spectrum industrial processes plants in the spirit of Industry 4.0. The strategy is based on the creation of a virtual simulator of the operation of the plants involved in the process. Through the digitization of the operational data sheets of the various components, the simulator is able to provide the reference values of the process control parameters to be compared with their actual values, in order to decide the direct inspection and/or the operational intervention on critical components before a possible failure. As example, a simple fluidic thrust plant has been considered, which a mathematical model (simulator) for its optimal operating conditions has been formulated for, by using the digitalized real operational data sheets of its components. The simple thrust system considered consists of a centrifugal pump driven by a three-phase electric motor, an inverter to regulate the rotation of the motor and a proportional valve that simulates the external load acting on the pump.&lt;/span&gt;&lt;/p&gt;&lt;p class="Abstract"&gt;As results, the operational data sheets and principal characteristics of the pump have been reproduced by means of the simulator here developed, showing a very good agreement.&lt;/p&gt;
PROBLEMATIKA LAYANAN PERPUSTAKAAN KELILING MASA PANDEMI COVID-19 DAN KENORMALAN BARU DI DINAS KEARSIPAN DAN PERPUSTAKAAN KABUPATEN PADANG PARIAMAN

This study aims to find out the problems of mobile library services at the Padang Pariaman Regency Archives and Library Service during the covid-19 pandemic. This research is a qualitative research with a descriptive approach. There are 2 informants in this study, namely primary informants and secondary informants. The main informants in this study were 5 people with details, two librarians, the Head of the Mobile Library Service Section, the Head of the Library Division, and the Secretary of the Padang Pariaman Regency Archives and Library Service. Data collection techniques were carried out by interview, observation, and documentation methods. This study used validation techniques which included extended participation, persistence of observation and triangulation. The results of this study indicate that services (1) as a result of the covid 19 pandemic mobile libraries cannot operate as they should so that there are several new policies that change mobile library services such as; mobile library services no longer make visits to nagari, currently mobile libraries only go to school as the focus of their services; Mobile library collections can no longer be loaned, but users can only read the collections on the spot. (2) there is no development in the implementation of mobile library services in the new normal. The implementation of mobile library services is still carrying out services like during the pandemic. (3) the need for a solution to the problem of mobile library services during the pandemic delivered by the librarian, namely re-establishing mobile library services to villages and carrying out social inclusion, as well as making changes in library collections.
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods

Most existing evaluations of explainable machine learning (ML) methods rely on simplifying assumptions or proxies that do not reflect real-world use cases; the handful of more robust evaluations on real-world settings have shortcomings in their design, resulting in limited conclusions of methods' real-world utility. In this work, we seek to bridge this gap by conducting a study that evaluates three popular explainable ML methods in a setting consistent with the intended deployment context. We build on a previous study on e-commerce fraud detection and make crucial modifications to its setup relaxing the simplifying assumptions made in the original work that departed from the deployment context. In doing so, we draw drastically different conclusions from the earlier work and find no evidence for the incremental utility of the tested methods in the task. Our results highlight how seemingly trivial experimental design choices can yield misleading conclusions, with lessons about the necessity of not only evaluating explainable ML methods using tasks, data, users, and metrics grounded in the intended deployment contexts but also developing methods tailored to specific applications. In addition, we believe the design of this experiment can serve as a template for future study designs evaluating explainable ML methods in other real-world contexts.
Effective bounds on $S$-integral preperiodic points for polynomials

Given a polynomial $f$ defined over a number field $K$, we make effective certain special cases of a conjecture of S. Ih, on the finiteness of $f$-preperiodic points which are $S$-integral with respect to a fixed non-preperiodic point $\alpha$. As an application, we obtain bounds on the number of $S$-units in the doubly indexed sequence $\{ f^n(\alpha) - f^m(\alpha) \}_{n > m \geq 0}$. In the case of a unicritical polynomial $f_c(z)=z^2+c$, with $\alpha$ fixed to be the critical point 0, for parameters $c$ outside a small region, we give an explicit bound which depends only on the number of places of bad reduction for $f_c$. As part of the proof, we obtain novel lower bounds for the $v$-adically smallest preperiodic point of $f_c$ for each place $v$ of $K$.
Graduate Studies Schooling during COVID-19 Pandemic: Doctorate and Master’s Students Experience in a Private Higher Education Institution in the Philippines

This study determined the graduate schooling experiences of the 347 Graduate Students of the University of Northeastern Philippines, Iriga City, Philippines, during the Second Semester of the Academic Year 2020-2021, wherein online learning modality instead of traditional face-to-face classes was implemented. Using a survey questionnaire distributed through Google form, it sought answers to the learning experiences of the Graduate Students with regards to their graduate schooling during the COVID-19 pandemic and their challenges met achieving quality graduate programs during the New Normal School Year. Descriptive survey research was used. All respondents strongly agreed that a sudden transition to a different modality in Graduate School teaching affects the quality of professional learning experiences, and they faced challenges that affect their graduate learning experiences
THE EFFECT OF USING CONTEXT CLUES IN ENHANCING STUDENTS’ VOCABULARY BUILDING THROUGH A READING TEXT AT SMPN 52 MAKASSAR

The objective to find out the effect of using context clues in in enhancing students vocabulary building through reading text at SMPN 52 Makassar.The writer used instrument; it is a reading and vocabulary test that given (pre-test and post-test). The pre-test was used to find out data about the recognition and understanding of students’ vocabulary before implementing the context clues strategy and the post-test was carried out to find out data about the introduction and understanding of students' vocabulary after implementing the context clues strategy. The method used in this study is a pre-experiment using one class. The population in this study were all students of class VIII-DSMPN 52 Makassar, totally 28 students, so the writer took a purposive sampling technique. In addition, to analyse the data, writer used SPSS 21. The results showed that the increase in students' vocabulary recognition increased on all indicators of word recognition, such as identifying clues in multiple choice (69.23% progress) and finding word meanings (43.02% progress). The results of this study finally showed that the students' vocabulary understanding was 53.00 for their pre-test and 81.64 for their post-test. This fact shows that the students’ score in the post-test is higher than the pre-test score. It can be concluded that vocabulary learning with the context clues strategy was effective in improving vocabulary VIII-D SMPN 52 Makassar.
Develop Infographics with all Stakeholders on Board

Health information is a key health management strategy to support patients and family caregivers at home. However, patients often find the health information incomprehensible, which leaves them anxious, and information overloaded
Hypergraph convolutional neural network-based clustering technique

This paper constitutes the novel hypergraph convolutional neural networkbased clustering technique. This technique is employed to solve the clustering problem for the Citeseer dataset and the Cora dataset. Each dataset contains the feature matrix and the incidence matrix of the hypergraph (i.e., constructed from the feature matrix). This novel clustering method utilizes both matrices. Initially, the hypergraph auto-encoders are employed to transform both the incidence matrix and the feature matrix from high dimensional space to low dimensional space. In the end, we apply the k-means clustering technique to the transformed matrix. The hypergraph convolutional neural network (CNN)-based clustering technique presented a better result on performance during experiments than those of the other classical clustering techniques.
Time and Query Complexity Tradeoffs for the Dihedral Coset Problem

The Dihedral Coset Problem (DCP) in $Z_N$ has been extensively studied in quantum computing and post-quantum cryptography, as for instance, the Learning with Errors problem reduces to it. While the Ettinger-Hoyer algorithm is known to solve the DCP in $O(log(N))$ queries, it runs inefficiently in time $O(N)$. The first time-efficient algorithm was introduced (and later improved) by Kuperberg (SIAM J. Comput. 2005). These algorithms run in a subexponential amount of time and queries $O{2^{\sqrt{c_{DCP}log(N)}}}$, for some constant $c_{DCP}$. The sieving algorithms \`a la Kuperberg admit many trade-offs between quantum and classical time, memory and queries. Some of these trade-offs allow the attacker to reduce the number of queries if they are particularly costly, which is notably the case in the post-quantum key-exchange CSIDH. Such optimizations have already been studied, but they typically fall into two categories: the resulting algorithm is either based on Regev's approach of reducing the DCP with quadratic queries to a subset-sum instance, or on a re-optimization of Kuperberg's sieve where the time and queries are both subexponential. In this paper, we introduce the first algorithm to improve in the linear queries regime over the Ettinger-Hoyer algorithm. We then show that we can in fact interpolate between this algorithm and Kuperberg's sieve, by using the latter in a pre-processing step to create several quantum states, and solving a quantum subset-sum instance to recover the full secret in one pass from the obtained states. This allows to interpolate smoothly between the linear queries-exponential time complexity case and the subexponential query and time complexity case, thus allowing a fine tuning of the complexity taking into account the query cost. We also give on our way a precise study of quantum subset-sum algorithms in the non-asymptotic regime.
The Use of Livemocha: A Platform for Independent Language Learning

The Covid -19 pandemic has affected all aspect of human’s life including the educational institution. All the activities are then held mostly online. Many online platform are used as a tool to interact between teacher and students. Despite their massive growth in online teaching, little research has been conducted about the use of online language learning community in learning foreign language. The aim of this study is to examine the use of Livemocha to learn foreign language independently. This study uses autoethnography method which uses the researcher personal experience to describe and analyze the data. Result of this study shows that the site is useful for learning English independently. This study concludes with suggestions for English Learning through social networking site.
Abusive comment identification on Indonesian social media data using hybrid deep learning

&lt;span lang="EN-US"&gt;Half of the entire social media users in Indonesia has experienced cyberbullying. Cyberbullying is one of the treatments received as an attack with abusive words. An abusive word is a word or phrase that contained harassment and is expressed be it spoken or in the form of text. This is a serious problem that must be controlled because the act has an impact on the victim's psychology and causes trauma resulting in depression. This study proposed to identify abusive comments from social media in Indonesian language using a deep learning approach. The architecture used is a hybrid model, a combination between &lt;a name="_Hlk99537661"&gt;&lt;/a&gt;recurrent neural network (RNN) and long short-term memory (LSTM). RNN can map the input sequences to fixed-size vectors on hidden vector components and LSTM implemented to overcome gradient vector growth components that have the potential to exist in RNN. The steps carried out include preprocessing, modelling, implementation, and evaluation. The dataset used is indonesian abusive and hate speech from Twitter data. The evaluation result showed that the model proposed produced an f-measure value of 94% with an increase in accuracy of 23%.&lt;/span&gt;
Peer Review Statement

All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review : Double Anonymous • Conference submission management system : Morressier • Number of submissions received : 25 • Number of submissions sent for review : 25 • Number of submissions accepted : 12 • Acceptance Rate (Submissions Accepted / Submissions Received × 100) : 48 • Average number of reviews per paper : 2 • Total number of reviewers involved : 15 • Contact person for queries : Name : Letian Huang Email : huanglt@uestc.edu.cn Affiliation : University of Electronic Science and Technology of China
Quantization for the mixtures of uniform distributions on connected and disconnected line segments

In this paper, we have considered different mixed distributions which are generated by two uniform distributions: first supported by two connected line segments, and then supported by two disconnected line segments. For these mixed distributions, we have determined the optimal sets of $n$-means and the $n$th quantization errors for all positive integers $n$. The technique of this paper can be utilized to investigate the optimal quantization for any mixed distributions $P:=pP_1+(1-p)P_2$, generated by any two probability distributions $P_1$ and $P_2$ associated with any probability vector $(p, 1-p)$ for $0<p<1$ with support a connected or the union of disconnected line segments.