Reviewerly/exHarmony huggingface dataset:
Ranking Assisted Unsupervised Morphological Disambiguation of Turkish

In comparison to English, Turkish is an agglutinative language with less resources. Due to a word's agglutinative properties, a significant number of morphological analyses produces uncertainty during morphological disambiguation and syntactic parsing. Traditional techniques rely on supervised learning models derived from the correct morphological analysis of a given phrase. In this study, we propose a ranking method to limit and filter irrelevant morphological tags from all possible combinations of morphological analysis of a given sentence without supervision. The suggested method chooses less ambiguous analyses for statistical aggregation and applies inference via the PageRank algorithm on a densely connected graph. Later, the graph is utilized to develop a voting schema for each test word based on the graph connections in the test sentence. In three independent manually annotated test datasets, the experimental assessments of the proposed method based on a large text corpus suggest a token accuracy of roughly 90% and a sentence accuracy of approximately 92%. In unsupervised setups, PageRank performs significantly better than BERT and ELMO. PageRank's learning process is quite straightforward and precise. It necessitates O(n2) parameter changes, which is significantly less than the neural network training method of backpropagation. To reduce disambiguation in various genres of text, the suggested method is easily adaptable to super-tagging, syntactic parsing, and rule-based filtering.
De-biasing Particle Filtering for a Continuous Time Hidden Markov Model With a Cox Process Observation Model

We develop a (nearly) unbiased particle filtering algorithm for a specific class of continuous-time state-space models, such that (a) the latent process Xt is a linear Gaussian diffusion; and (b) the observations arise from a Poisson process with intensity λ(Xt).The likelihood and the posterior probability density function of the latent process include an intractable path integral.Our algorithm relies on Poisson estimates which approximate unbiasedly this integral.We show how we can tune these Poisson estimates to ensure that, with large probability, all but a few of the estimates generated by the algorithm are positive.Then replacing the negative estimates by zero leads to a much smaller bias than what would be obtained through discretisation.We quantify the probability of negative estimates for certain special cases and show that our particle filter is effectively unbiased.We apply our method to a challenging 3D single molecule tracking example with a Born-Wolf observation model.
The vector of local ecology education for population (The experience of the Ecological Information Center of the Adyghe Republic National Library)

The experience of the «Green Guest Room» Ecological Information Center at Adyghe Republican National Library is discussed. The goals of the Center are to promote the library collection, to make ecological library accessible for the population, to build ecological information awareness, and to provide ecological education. The author focuses on the local ecological vector in the library work.
The library’s awareness and presentation of its collections in art industries

The practical aspects of library development in the times of creative economy, are examined. The key vectors of the national cultural policy are discussed within the context of advancing creative industries. The structure of library resources to contribute to the creative economy, is outlined. The potential of Stavropol Territorial Library for the Blind as the site for creative communities is revealed.
Organizing meaningful leisure time within the context of ecological education: The experience of Donetsk Republican Library for Young Adults

The experience of Donetsk Republican Library for Young Adult in organizing mass events in ecological education of teenagers and young adults is discussed. The «Home» Library Fest of Ecology and Healthy Living and events held by Atom Science Club are reviewed. The findings of quiz on the readiness of the young people to act to protect environment are published.
Ecological education in children’s library: The experience of V. V. Bianki Children’s Library No. 207

The author speculates on the topic of pre-school ecological education at children’s library within the context of morale building work and aesthetical education. The efficiency of interdepartmental cooperation of educational (kindergartens) and cultural (children’s public libraries) is examined. The model interaction is demonstrated with the example of the Library’s key projects: Bibliolaboratory of innovative ecological activities and Bianki Club.
Экологическая культура общества: эффективные практики муниципальных библиотек г. Перми

Ecological education is among the priority vectors of Perm municipal libraries. The author generalizes the experience in cultivating ecological culture and discusses the projects implemented in 2021–2022.
Steps toward the future: The experience of promoting sustainable development principles in ecology by Gorky Ryazan Regional Universal Scientific Library

The experience of Ryazan Regional Universal Scientific Library in ecological education based on sustainable development goals is discussed. The multi-aspect activities and their potentiality is emphasized.
Ecological management in the children’s library: The case study of Central District Children’s Library of Kronstadtsky District Centralized Library System

The implementation of ecological management system in children’s library is discussed. The vectors of ecological management are reviewed, the quantitative assessment of the system implementation is offered.
The role of libraries in ecological space

The significance of ecological information awareness and education is emphasized. The role and functions of modern libraries in developing ecological culture and ecological behavior are examined. Based on the experience of Samara Library No. 18 the vectors, types and forms of library ecological work are discussed.
The projects in ecological education at the Far-Eastern State Scientific Library

The projects in ecological education realized by the Far Eastern State Scientific Library in cooperation with government and publiс organizations, are discussed.
Retraction: A Comprehensive Study on the Various Applications of Deep Learning (IOP Conf. Ser.: Mater. Sci. Eng. 981 022045)

"A Comprehensive Study on the Various Applications of Deep Learning" V. Pranathi et al 2020 IOP Conf. Ser.: Mater. Sci. Eng. 981 022045 This article has been retracted by IOP Publishing following an allegation that this article may contain tortured phrases [1]. IOP Publishing has investigated and agrees the article contains a number of nonsensical phrases that feature throughout the paper, masking overlap with previously published work [2,3], to the extent that the article makes very little sense. This casts serious doubt over the legitimacy of the article. IOP Publishing wishes to credit PubPeer commenters [4] for bringing the issue to our attention. The authors have agreed to this retraction. [1] Cabanac G, Labbe C, Magazinov A, 2021, arXiv:2107.06751v1 [2] Samira Pouyanfar, Saad Sadiq, Yilin Yan, Haiman Tian, Yudong Tao, Maria Presa Reyes, Mei-Ling Shyu, Shu-Ching Chen, and S. S. Iyengar. 2018. A Survey on Deep Learning: Algorithms, Techniques, and Applications. ACM Comput. Surv. 51, 5, Article 92 (September 2019), 36 pages. https://doi.org/10.1145/3234150 [3] Dargan, S., Kumar, M., Ayyagari, M.R. et al. A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning. Arch Computat Methods Eng 27, 1071–1092 (2020). https://doi.org/10.1007/s11831-019-09344-w [4] https://pubpeer.com/publications/384DD2D42E45EAFF5D2380D38E134D Retraction published: 11 April 2023
Não foi só uma gripezinha: leituras do adoecimento de trabalhadores da saúde durante a pandemia de covid-19

With the arrival of the new coronavirus pandemic in Brazil emergency measures emerged to try to contain the virus in order to avoid its propagation. Based on this context, health professionals were the hardest hit, either by extending their workday or by direct contact with patients and family members affected by COVID-19. Therefore, the main objective of this research is to answer how the COVID-19 pandemic impacts on the mental health of health workers from the psychology professional’s perspective. The general objective of the study is to present the eventual suffering process of these workers as well as their main causes. Methodologically, this is an exploratory research, qualitative and quantitative approach, developed through the deductive method. As data collection, bibliographic, documentary and field research stand out. In the last one a questionnaire was developed for psychologists working during the pandemic. As results, could be noticed that the increase workload and the lack of assistance and structure offered to health professionals who are working on the front lines of the COVID-19 combat are causing the illness of many of them, increasing the depression and anxiety symptoms and so many other variables exposed in the data presented.
Further Evolution of Mortality Prediction with Ensemble-based Models on Hungarian Myocardial Infarction Registry

In the current study, we present a new approach to predict 30-day and 1-year mortality of patients hospitalized with acute myocardial infarction.The dataset of this research is originated from Hungarian Myocardial Infarction Registry, a full, real-world, unfiltered database of myocardial infarctions from year 2014 to 2016 (n = 47,391).The new approach is based on ensembling and uses the prediction capability of different (already ensembled, in some cases) models like Random Forest, General Boosting Machine, Neural Network and Generalized Linear Model.We previously presented more different modelling techniques with the same target on the same dataset, and this new ensemble-based way of prediction proved to be the best among all the others.By numbers, this means 0.856 ROC AUC (area under the receiver operating characteristic curve) for the 30-day, and 0.839 ROC AUC for the 1-year mortality, both measured on validation datasets.We came to the conclusion that the combination of machine learning algorithms and regression models results the best performance in mortality prediction on the dataset of HUMIR.
Decreasing of COD, Phosphate (PO4) and Detergent (LAS) Using Fixed Bedreactor with an Anaerobic Process

In the absence of adequate management, the majority of laundry wastes, such as detergent and clothes softener, are typically dumped directly and unceremoniously into the channel that leads to a body of water. A Fixed Bed Reactor containing media in an anaerobic Bioball is one method that can be utilized to process laundry waste. Other methods include the underlying qualities of waste clothing is COD: Detergents: 291 mg/l Total: 29.74 mg N/l total P: 172.58 mg/l 29.12 mg/l. This study used a variety of COD concentrations to waste the early (So) = 280 mg/l, 232.8 mg/l (80% * So), 174.6 mg/l (60%) and 116 mg/l (40%) and discharge 150, 130, 110, 80, and 60 ml/minute, respectively. The best COD concentrations were found to be 91.06 percent for COD at the COD variation of 58.2 mg/l and 60 ml/min discharge, and the concentrations of phosphate (PO4) were found to be 82.13 percent at 20 percent waste discharge 60 mg/minute Concentrations of detergent and 76.13 percent at 20 percent waste discharge 60 mg/min Concentrations of phosphate According to the 2002 decision of the Governor of East Java Number 45, the concentration of bioball media meets the standard quality of raw liquid waste at concentrations of COD, phosphate (PO4), and detergents that are processed on a fixed bed reactor.&#x0D;
Rancang Bangun Sistem Informasi Akademik Smpn 1 Kahayan Hilir Berbasis Web

SMPN 1 Kahayan Hilir is one of the junior high schools in Pulang Pisau. Every year the number of students at SMPN 1 Kahayan Hilir continues to increase, so student data is difficult to maintain. SMPN 1 Kahayan Hilir, still uses the manual method in data recap. Starting from the management of student data, teacher and academic data stored in hard copies or sheets of paper for data recap. Where it fills the storage space of the office and if something happens like a fire, the data will be lost. Backup data is also still using a flash, where the flash can not guarantee data security. Moreover, the size of the flash is not necessarily sufficient for all the data. So from these problems, an application was made for web-based data management on the Academic Information system of SMPN 1 Kahayan Hilir. The academic information system uses the waterfall software development method, which consists of the stages of analysis, design, implementation, testing and maintenance. At the analysis and design stage using DFD and ERD for data design. While at the testing stage the method used is the black box method. The results obtained in the study are in the form of a website with features for managing student data, identity, class, class schedule, class, attendance, grades, curriculum, subject groups, academic year and teachers who are integrated with each other. The results of the black box test have been obtained with evidence of testing the black box sheet by the teacher of SMPN 1 Kahayan Hilir.
Seasonal Variation of Atmospheric Absorptivity in Ouarzazate

Solar radiation is one of the most affordable energy intensive of all renewable energies as in Ouarzazate, a city known by the use of solar energy resource. The climate change system manifests many changes in this energy by absorption of solar radiation by the atmosphere and earth surface, and infrared radiation is also affected by this absorption. Using our model ACRA19, that describes the regional radiative balance with corresponding atmosphere components like temperature, incoming solar radiation at the top of the atmosphere, optical depth and surface albedo, we determine the absorptivity of solar radiation a1 that observes high values during summer 0.27 for 500 nm. The reflectivity of solar radiation by the atmosphere r1 is close to 0.36. This shows that the desert aerosols may attenuate solar radiation by either reflection or absorption at the level where the solar incident flux reaching the earth surface drops to 170 W.m−2.
Performance Evaluation of Machine Learning based Robocalls Detection Models in Telephony Networks

Many techniques have been proposed to detect and prevent spam over Internet telephony. Human spam calls can be detected more accurately with these techniques. However, robocalls, a type of voice spammer whose calling patterns are similar to those of legitimate users, cannot be detected as effectively. This paper proposes a model for robocall detection using a machine learning approach. Voice data recordings were collected and the relevant features for study were selected. The selected features were then used to formulate six (6) detection models. The formulated models were simulated and evaluated using some performance metrics to ascertain the model with the best performance. The C4.5 decision tree algorithm gave the best evaluation result with an accuracy of 99.15%, a sensitivity of 0.991%, a false alarm rate of 0.009%, and a precision of 0.992%. As a result, it was concluded that this approach can be used to detect and filter both machine-initiated and human-initiated spam calls.
Finding An Efficiency-Oriented Approach to Scrutinise the Essentiality of SEPs: A Survey

Over the years, the debate surrounding standard essential patents (SEPs) has focused mainly on the economic and legal meanings of FRAND commitments. However, the assessment of SEPs’ true essentiality is a topic that has gained significant interest among policy makers. As the European Commission is expected to deliver a legislative proposal to promote an efficient and sustainable SEP licensing ecosystem, this paper aims to provide a review of the literature on different mechanisms that have been proposed to determine the essentiality of a patent. Indeed, whilst any policy intervention stems from the need to ensure a reasonable balance among accuracy, transparency, and cost of the essentiality checks, the available approaches score differently in terms of their efficiency.
Teachers’ Challenges in Teaching English for Young Learners during Indonesia’s School-Based Curriculum

The goal of this study is to discover the challenges that teachers suffered from when teaching English to young learners in Tembilahan Elementary Schools during the School Based Curriculum in 2018. The quantitative descriptive design was used for this study. Researchers employed questionnaires and interviews as research tools to collect study results, the questionnaire functioning as the primary instrument. Questionnaires and interviews were distributed to ten teachers from nine different primary schools. The findings of the Likert questionnaire data analysis and interviews showed that the most difficult challenges for teachers in teaching English to young learners was learners’ motivation. They all believe that raising motivation was tough, and that was one of the difficulties in teaching English to young learners. The findings of the highest score in the data was the thirteenth statement (motivation), where the total score was 40, and it was a teaches’ challenges in teaching English to young learners in primary schools in Tembilahan.
Perancangan Aplikasi Pengolahan Data Nilai Siswa Berbasis Website

Education is very important for the future of Indonesia's young generation today. In order to give birth to a better Indonesian golden generation, teaching staff must have a benchmark of student values in the development of student values and activeness which is commonly called a report card. The lack of application of technology as a medium for managing report cards for teachers is still considered ineffective and also inefficient in terms of time. Besides that, there are many problems regarding the difficulty of parents to check report cards because they have very busy activities and busyness in work matters besides that teachers need special time to meet and discuss in preparing report cards so we need a system that can be accessed anywhere and anytime.&#x0D; Report cards are one of the important documents for students. So it is necessary to be careful when storing it. Filling out a report card is also a troublesome thing for teachers. The teacher must fill in the lesson values as many students as there are in his class. Of course it is not efficient. Then a website-based report card value processing information system was created called E-Raport or Electronic Reportport. This system was developed using Sublime Text software, PHP, XAMPP, and MySQL database. This system is expected to make it easier for teachers to fill in value data and students in checking and storing report cards.
Tankönyvi szövegek nyelvi feldolgozhatóságának mutatói és vizsgálati módszerei

The aim of our study is to provide an overview of methods to investigate linguistic markers of textbook texts and their impact on readability and processability, and to propose objective criteria for assessing the readability of Hungarian textbooks. To this end, after formulating the general requirements of readability, we present results on the relevant factors of text processability at each language level, and then review the readability formulas and calculation methods introduced in other languages, including their applicability to Hungarian. Finally, we propose a set of criteria for measuring text processability to be introduced in Hungary on the basis of the methods reviewed in the paper.
Efektivitas penggunaan media audio visual di SDN Wonosari 01 Kabupaten Bondowoso

This study aims to discuss the Effectiveness of Using Audio Visual Media from Water Cycle Materials at SDN Wonosari 01 Kabupaten Bondowoso. This research method is a descriptive qualitative method with instrument literature studies, observations, and interviews in which the author collects information from various literature such as journals, books, and research journals, as well as observations of students and interviews with teachers. The results of the discussion obtained from this article are the success or failure of an education that is greatly influenced by its learning, including science learning which is a lesson that is often less attractive to students, with the exception of the Water Cycle material. This is because science has abstract concepts so of course it can make students difficult to understand it. Besides that, the era is growing rapidly so it takes a teacher of expertise to be able to make learning effective. Of course, regarding this, the teacher needs a learning media that can help him achieve a learning goal. In this study, the authors discuss the use of audio-visual media, the result of which is that students are enthusiastic about receiving learning so that learning objectives can be achieved.
Peningkatan keterampilan berbicara siswa SD melalui program SAPU TUWA

Third-grade students of Jogoyasan State Elementary School, Magelang have less confidence when speaking in front of the class and when the teacher asks questions. Poetry is a way for students to express themselves to improve their speaking skills. The purpose of this study was to determine the speaking skills of third-grade students of Jogoyasan State Elementary School through the SAPU TUWA (One Poem One Student) program. This action research uses the Kemis &amp; Taggart model which consists of four stages (planning, action, observation, and reflection). The object of the research was 31 students (21 boys and 10 girls). Data were obtained through observation, interviews, student journals, and teacher journals analyzed by data reduction and conclusion drawing, questionnaires, and poetry reading tests. The results showed that the SAPU TUWA program helped improve speaking skills. The indicators of each cycle include improvements in several ways: (1) the total score of the cycle I was 2,018.75 to 2,550 in cycle II (2) the average score of the cycle I was 65.12 to 85.25 in cycle II (3) the minimum score in cycle I was 50 to 62.5 in cycle II (4) the maximum score in cycle I was 75 to 87.5 in cycle II (5) increased student motivation seen from participation and positive responses during the SAPU TUWA program
Pengembangan e-modul interaktif IPA dasar sebagai media pembelajaran

The Covid-19 pandemic has changed many dimensions of people's lives, including the world of education. Education during the Covid-19 pandemic is carried out remotely to prevent wider transmission. The use of technology for distance learning plays an important role in achieving effective and collaborative learning activities. This study aims to produce a valid and practical learning media in the form of a Basic Science MI/SD e-module to be used during distance learning with the Canva application. The research method used is development research that adapts the ADDIE model. The data collection instruments used were observation sheets, product validation sheets for Basic Science MI/SD e-modules, and student response sheets for the practicality of Basic Science MI/SD e-modules. The results showed that the Basic Science MI/SD e-module was valid, feasible, and practical to use during distance learning activities