Category Level Research Articles

Penilaian Tingkat Risiko Postur Kerja Menggunakan Metode REBA dan Biomekanika Pada Aktivitas Mengangkat Beban

The activity of lifting weights has many risks that can lead to complaints and work accidents such as mistakes in lifting excessive loads, overly bent postures, and other complaints that result in uncomfortable working conditions. This research was conducted to determine the risk level of work posture using the REBA method and biomechanics in lifting weights with different lifting variables. The research were took documentation data, angle and distance measurements by using the Kinovea application, and the data analyzed by using the REBA Assessment Worksheet and biomechanical equations. Based on the results obtained, the activity of lifting burdens on workers from the aspect of the REBA method mostly has a high level of risk category and only 1 worker has a moderate level of risk category. Meanwhile, from the biomechanics aspect, most of them have a risk level in the careful category, 1 worker has a risk level in the safe category, and 1 worker who has lifted a load of 50 kg has a risk level in the dangerous category.

Assessment of qualifications of doctors as a tool for quality management of medical aid in Ukraine

The article analyzes the mechanism of certification of doctors. A comparative characterization of the legislative framework, which regulates the certification of doctors, was carried out. It was found that the certification, which in its essence should be an assessment of the theoretical knowledge and practical skills of the doctor, in practice is only the submission of documents confirming the obtained points of continuous professional development. A comprehensive approach is proposed in the form of increasing the requirements for doctors who are certified, taking into account during the certification of complaints received by doctors during their professional activities, and creating a mechanism for lowering and withdrawing qualification categories and the certificate of a specialist doctor. Conclusions. The data analyzed in the article indicate that the assigned qualification does not always correspond to the level of training of doctors, which gives an understanding of the need for changes in the system of attestation of doctors, which will ensure the establishment of correspondence between the level of the qualification category and the actual level of the doctor’s qualification. Therefore, a comprehensive approach is necessary in the form of increasing the requirements for certified doctors, taking into account during the certification of complaints received by doctors during their professional activities, creating a mechanism for lowering and withdrawing qualification categories or a certificate of a specialist doctor, which will have a positive effect on improving the quality of certification of doctors and, as a result, to improve the quality of medical care in general.

Leaflet media as an effort to increase knowledge of dental health maintenance in elementary school students

Knowledge can be increased through health promotion. In terms of the age at which children are susceptible to disease, counseling is especially aimed at groups prone to dental and oral health problems, namely elementary school-aged children. Leaflet media is the right media to increase the knowledge of fourth grade students where students can already read. This study aims to analyze the effectiveness of dental and oral health maintenance knowledge before and after being given counseling using leaflet media to class IV students at SDN Sawangan 07 Depok in 2022. The research design used was quasi-experimental. The sampling technique with a total sample of 36 students. Data was collected by filling out pre-test and post-test questionnaires given to class IVB students. Data analysis used paired sample test. The results of the study before being given counseling about dental health maintenance using leaflet media had a good level of knowledge category of 25 people with a percentage of 69%, the level of knowledge in the sufficient category was 5 people with a percentage of 14%, and the level of knowledge in the poor category was 6 people with a percentage of 17%. The results of the study after being given counseling about maintaining dental health with leaflet media, most of the respondents had a good level of knowledge, 29 people with a percentage of 81%, the level of knowledge in the sufficient category was 7 people with a percentage of 19%, and no students were included in the poor category. The results of the paired sample test analysis obtained a p-value of 0.000. Conclusion: leaflet media is effective in increasing knowledge about maintaining oral health in elementary school students. Keywords: Leaflet media, knowledge, dental health, elementary school students

Factors and Reasons Influencing Thai EFL University Students' Use of Language Learning Strategies

The present study has the following goals: 1) To consider the variety of language learning strategies and their relative frequencies as chosen by English majors studying at public universities in the northeast of Thailand; 2) to understand what may be the underlying factors that guide these choices as reported by the participants; and 3) to answer why those strategies and their frequencies. The participants were 579 students at 6 public universities in the northeast of Thailand, all of whom majored in English. The tools to gather the data were a background information questionnaire, LLS questionnaire and semi-structured interviews. A selective sample of 30 participants took part in the guided lightly-structured interviews. The tools used for a quantitative analysis were obvious descriptive data and factor analysis. Further analysis of the qualitative results were done using content and thematic analyses. The quantitative results tell us that their overall use of language learning strategies were at a predictable moderate frequency of overall use and only small variations at category levels. At the individual level, high frequencies were reported for 6 strategies, moderate usage for 37 strategies and infrequent to zero usage were shown for 2 strategies. Four underlying factors where derived from a factor analysis. The qualitative results revealed that 16 reasons can be ascertained for the frequent use of certain strategies, and 3 reasons for infrequently used strategies.

Socio-demographic and cultural factors related to non-participation in the Dutch colorectal cancer screening programme

BackgroundHigh participation rates are essential for a screening programme to be beneficial. To reach non-participants in a targeted manner, insight in characteristics of non-participants is needed. We investigated demographic differences between participants and non-participants in the Dutch faecal immunochemical test-based colorectal cancer (CRC) screening programme. MethodsIn this population-based cohort study, we included all invitees for CRC screening in 2018 and 2019. Participation status, birth year, and sex were extracted from the Dutch national screening information system and linked to demographic characteristics from Statistics Netherlands, including migration background, level of education, socioeconomic category, household composition, and household income. A multivariable logistic regression was used to assess the association between demographic factors and participation. ResultsA total of 4,383,861 individuals were invited for CRC screening in 2018 and 2019, of which 3,170,349 (72.3%) participated. Individuals were less likely to participate when they were single and/or living with others (single with other residents versus couple: odds ratio [OR] 0.34, 95% confidence interval [CI]: 0.31–0.38), had a migration background (e.g. Moroccan migrant versus Dutch background: OR 0.43, 95% CI: 0.42–0.44), or had a low income (lowest versus highest quintile: OR 0.45, 95% CI: 0.44–0.45). Although to a lesser extent, non-participation was also significantly associated with being male, being younger, receiving social welfare benefits and having a low level of education. ConclusionWe found that individuals who were single and/or living with others, immigrants from Morocco or individuals with low income were the least likely to participate in the Dutch CRC screening programme. Targeted interventions are needed to minimise inequities in CRC screening.

Association of Umbilical Cord Igg Covid Antibody Levels with Maternal Factors

Background: The transmission of SARS-CoV-2 from mother to fetus and the development of protective antibodies in newborns are critical aspects of maternal and neonatal care during the COVID-19 pandemic. Understanding the association between umbilical cord IgG COVID-19 antibody levels and maternal factors, including gestational age of acquiring infection, COVID-19 clinical category, and immunization status, can provide insights into neonatal immunity and guide strategies for optimizing maternal and neonatal care.
 Methods: This study aimed to investigate the association between umbilical cord IgG COVID-19 antibody levels and maternal factors in a cohort of pregnant women with confirmed SARS-CoV-2 infection. Maternal data, including gestational age of acquiring infection, COVID-19 clinical category, and immunization status, were collected. Umbilical cord blood samples were obtained at delivery, and IgG COVID-19 antibody levels were measured using standardized assays. Statistical analyses were performed to assess the associations between maternal factors and neonatal antibody levels.
 Results: Preliminary results showed that gestational age of acquiring infection was positively associated with umbilical cord IgG COVID-19 antibody levels (p<0.001). Neonates born to mothers infected in the third trimester had significantly higher antibody levels compared to those infected in the first or second trimesters. Additionally, there was a significant positive correlation between COVID-19 clinical category and umbilical cord IgG antibody levels, with more severe maternal illness associated with higher neonatal antibody levels. Maternal immunization status also demonstrated a positive association with umbilical cord IgG COVID-19 antibody levels, indicating that vaccinated mothers had higher levels of antibodies transferred to their infants.
 Conclusion: This study highlights the association between umbilical cord IgG COVID-19 antibody levels and maternal factors, including gestational age of acquiring infection, COVID-19 clinical category, and immunization status. The findings suggest that infection in the third trimester, more severe maternal illness, and maternal immunization are associated with higher levels of neonatal antibodies. These results have important implications for understanding neonatal immunity and guiding maternal and neonatal care during the COVID-19 pandemic. Further research with larger cohorts is warranted to validate these findings and inform evidence-based strategies for optimizing maternal and neonatal outcomes.

Unsupervised domain adaptation via reliable pseudolabeling based memory module and dynamic distance threshold learning

An important challenge in unsupervised domain adaptation (UDA) is how to capture domain-specific discriminative information in the target domain data. For the labels in the target domain are unavailable, some methods uncover the intrinsic discriminative information by clustering the target domain features in the embedding space. However, most of existing works only consider filtering reliable target domain samples by setting a fixed distance threshold, ignoring the potential intraclass and interclass relationships and cannot set appropriate distance thresholds for different transfer tasks and different classes. To this end, we propose a new pseudolabeling framework named the dynamic distance threshold learning framework (DDT) for UDA. In our framework, we construct distance memory module to encode intraclass and interclass distribution information, and select reliable target domain samples satisfying intraclass compactness and interclass independence via dynamic intraclass and interclass distance thresholds. Specifically, we define class centroid memory modules, intraclass and interclass distance memory modules in the embedding space. Then, we retrieve the intraclass compactness distance threshold and interclass independence distance threshold from the distance memory based on the class and classpair information of target domain sample. Finally, we use reliable target domain samples to update the class centroid and the distance memory module, so that the distance memory module is dynamically updated following the model training. Benefiting from DDT, the UDA model can be updated with reliable target domain samples for training, and the joint distribution can be further aligned at the category level. As a lightweight technique, DDT constructs class center and distance memory modules to transfer the intraclass and interclass distribution relationships from the source domain to the target domain, and sets dynamic intraclass and interclass distances for different classes in different transfer tasks. Without any additional training parameters, the framework can be easily plugged into various domain adaptation paradigms. Experiments on benchmark datasets show that our method can filter the noise in pseudolabels and confers a competitive advantage compared with existing state-of-the-art domain adaptation methods.

Nurses' preparedness to respond to COVID-19 and associated factors after the outbreak in China.

Nurses are key staff in the response to the COVID-19 epidemic. The aim of present study was to assess Chinese clinical nurses' preparedness levels for COVID-19 after the outbreak, as well as the associated demographic factors. The design was a cross-sectional survey. We distributed an online questionnaire to nurses from five eastern coastal area hospitals. The questionnaire collected demographic information, and included the nurses' preparedness to respond to COVID-19 questionnaire (NPR COVID-19). The total mean NPR COVID-19 score was 200.99 (standard deviation = 33.60), and the psychological approaches subscale had the lowest mean score. Education and training were positively associated with the NPR COVID-19 score. Nurses' characteristics, such as seniority, job category and educational level, were entered into the NPR COVID-19 regression model, and seniority (≤5 years) showed the strongest negative association with NPR COVID-19 scores (standard coefficient = -0.20). Chinese nurse's preparedness to respond to COVID-19 was adequate. Nurses with less than 5 years of work experience, nursing researchers and diploma-educated nurses reported feeling a low preparedness to respond to COVID-19. These nurses should receive specific training.

STEM-PjBL Worksheet : Ways to Improve Students' Collaboration, Creativity, and Computational Thinking

This study aims to develop STEM-PjBL worksheets to improve students' collaboration, creativity, and computational thinking skills. This development research uses the ADDIE model by implementing all stages of development. The research instruments were student collaboration observation sheets, student creativity observation sheets, computational thinking assessment sheets, pretest and posttest questions, teacher interview sheets, and validation sheets. Data analysis techniques using qualitative and quantitative descriptive analysis. The product validation results show that the STEM-PjBL-based worksheet is categorized as very feasible based on the validation value obtained by the expert validator. Collaboration, creativity, and computational thinking skills scored respectively 83, 81, and 82 with very good level of achievement category. Non-parametric test results show a significance value (<0.05). These results indicate that the STEM-PjBL worksheet is very feasible and recommended for use in learning.

The Aesthetic Evolution of Product Categories

Most literature on aesthetic innovation has focused on single producers who use radical aesthetic innovation to differentiate their products. However, a few scholars, as well as anecdotal evidence, suggest that when gazed at from the category level, aesthetic innovation usually occurs as incremental variations of a dominant aesthetic. Extant theory fails to account for why we see cycles of shift and stability in the dominant aesthetic of a category. In this study, we identify the mechanisms that drove such shifts and stability in the dominant aesthetic of the hearing aid category from 1945 to 2015. Leveraging this study, we develop theory showing that alignment or misalignment between category meanings and recent cultural trends spurs producers to generate new categorical aspirations to associate their category with new sets of meanings. However, producers introduce radical new aesthetic innovations only when a change in product form allows them to experiment. Examining aesthetic evolution at the category level helps to shed light on category-level patterns of aesthetic shifts and stability, why attempts to differentiate outside the dominant aesthetic are rare, and why product aesthetics across a category shift synchronously between dominant aesthetics. Furthermore, we enhance understanding of the roles of culture in category evolution and of aesthetics in the construction of category meaning, and we show how such meanings are periodically and collectively renegotiated in mature categories.

Fruit Freshness Detection Based on YOLOv8 and SE attention Mechanism

Fruit is a crucial component of daily diets, emphasizing the importance of ensuring its freshness. Our proposed method utilizes YOLOv8 and SE attention mechanism for detecting the freshness of fruits. Our method balances accuracy and real-time performance while detecting the freshness of different types of fruits. The proposed method achieves an average accuracy of 87.8% and a maximum accuracy of 95.0% for detecting the freshness level of a single fruit category. Experimental results confirm the effectiveness of our proposed method in accurately detecting and localizing the freshness level of fruits, demonstrating its potential for wide application and promotion in the fruit industry.

Price Differentiation in Online and Offline Retail: An Empirical Study of Current Practices

ABSTRACT The purpose of this article is to present the practice of price differentiation in multichannel sales conditions. The study reviews the literature on channel pricing policy. The authors set a goal to study the practices of retailers operating in online and offline channels in Poland in terms of price differentiation between channels. Using the example of the EMPIK and SMYK chains, price differences between online and offline channels were analysed for several 100 products in key categories for these retailers. The prices were obtained by scraping the data from the websites of both retailers in November 2022. Statistical analysis was designed to examine differences in pricing by product category, position on the “most frequently purchased” list and price range. This research confirmed previous results that online vs. offline price differentiation was not widely used by leading multichannel retailers in the most popular categories bought online: only two out of 12 retailers elicited for the study were found to perform it. It also confirmed previous findings that if price differentiation was applied, the items were cheaper online more often. However, the average depth of discount was considerably higher. Apart from these general findings, our research delivered detailed insights at the category level as the depth of discount and the share of products sold at a discount online considerably differed between categories with comparable and non-comparable offers. Additionally, this study provided a unique analysis of the multichannel price differentiation strategy in relation to popularity or the absolute price of the product. While in the case of the popularity of the product, the offer uniqueness seemed to play a role, the relation to the absolute price of the product showed a mixed picture and would need further investigation.

Analisis Kualitas Instrumen Tes Hasil Belajar IPAS Materi Wujud Zat dan Perubahannya

The instruments used to measure student learning outcomes, especially in science learning at the elementary school level, are required to be of good quality and have been tested. This study aims to determine the quality of the science achievement test instrument for class IV SD, especially in the matter of matter and its changes based on content validity, reliability, discriminating power and level of difficulty of the test. The subjects of this study were lecturers, class teachers and fourth grade elementary school students. The approach used in this research is descriptive quantitative. Quantitative data analysis techniques were used to determine the quality level of the instrument based on empirical data while qualitative data were used to determine the category level of validity, reliability, discriminatory power and level of test difficulty. The results showed that the quality of the 30-item 100% validity of the test instrument for elementary science class IV material form of matter and its changes with a reliability of 0.901 (very good category). Based on the differentiating power test, there are 1 item in the Very Good category, 16 items in the moderate category, 13 items in the good category. Meanwhile, based on the difficulty index of the test, there are 2 items in the easy category, 27 items in the moderate category, and only 1 item in the difficult category. Thus, overall the test instrument has good quality and is feasible and can be used to measure students' learning outcomes in science learning on material form of matter and its changes

The Correlation between Sports Extracurricular and Social Behaviour of Students in Junior High School 1, Jekulo, Kudus

This study aims to analyse the level of categories of students' social behaviour and the relationship between extracurricular activities and students' social behaviour. This study is an experimental quantitative study employing a pre-experimental design. The sample in this study was 156 students in grades VII-IX of junior high school. Data collection was carried out through a social behaviour test questionnaire sheet. The data was processed using the Correlation Test. The results indicate that (1) The highest level of student social behaviour is in the mediocre category at 55%, while the high category is 31%, and 14% is in the low category, (2) there is a strong correlation between extracurricular activities and students' social behaviour, with a coefficient of 0.848. The correlation coefficient demonstrates the close association between sport extracurricular activities and the social behaviour of students. This study concludes that the introduction of sports extracurricular activities substantially impacts students' social conduct. This is because all forms of extracurricular activities are cooperative training, which includes peer interaction, training activities, organizational activities, preparation for events, and participation in competitions or competitions that influence the development of positive character traits in students. It is intended that this research will have consequences for enhancing the development of extracurricular activities in schools so that they not only influence the pleasant social conduct of students but also produce exceptional seeds, which are the hope for Indonesia's future accomplishments.

IMPROVING STUDENTS’ CONCENTRATION AND LEARNING OUTCOMES THROUGH PROJECT-BASED LEARNING ASSISTED BY GAMES AS THE METHOD

This paper is based on the students’ low concentration and learning outcomes. The purpose of the research is to increase the students’ concentration and learning outcomes through the project-based learning model assisted by the game method. The type of research is classroom action research. The research subjects were students at class 4A of SD Kanisius Demangan Baru 1. The research object was the improvement of students’ concentration and learning outcomes through the project-based learning model assisted by the game method. Data collection techniques were obtained through observation, interviews, and tests. The data analysis techniques used were quantitative and qualitative. The research results indicate that the percentage of students' learning concentration before applying the action was still in the low percentage (58.33%), after conducting the first cycle increased to the moderate category level (69.44%), and after conducting the second cycle increased to the excellent category (90.27). The average mastery level of students’ learning outcomes of students before applying the action was still in the low category (57.27). After conducting the first cycle, the student’s learning outcomes increased to the medium category (67.72), and after applying the second cycle increased to the high category (84.09). Thus, students’ learning concentration influences their learning outcomes. It is because if students can focus their attention so they can optimize their ability to respond to the lesson that they learned, so their learning outcomes also increase.

THE EFFECT OF THE MASTERY LEARNING MODEL ON THE STUDENTS’ LEARNING OUTCOMES AT CLASS V OF PUBLIC ELEMENTARY SCHOOL 097795 PERASMIAN

This paper discusses the effect of applying the mastery learning model on students’ learning outcomes on the theme of our friendly environment at class V of SD Negeri 097795 Perasmian in the academic year 2022/2023. The research uses quantitative methods. The research population is 132 entire students at class I-VI of SD Negeri 097795 Perasmian. The sampling technique uses a purposive sample and the sample used is 39 students at class V. The research results indicate that students’ learning outcomes applying the mastery learning model are included in the excellent category level with an average of 80.5 with a correlation test result of 0.951, which means rcount (0.951) ≥ rtable (0.361), then Ha is accepted. Thus, there is an intense effect of applying the mastery learning model on students’ learning outcomes on the theme of our friendly environment at class V of SD Negeri 097795 Perasmian. It can be seen from the T-test results where tcount 2,665 ≥ ttable 2,048, hence Ha is accepted. It implies that there is a significant positive effect from the application of the mastery learning model on students’ learning outcomes on the theme of our friendly environment at class V SD Negeri 097795 Perasmian in the academic year 2022/2023.

Supply Chain Demand Forecasting and Price Optimisation Models with Substitution Effect

Determining the optimal price of products is essential, as it plays a critical role in improving a company’s profitability and market competitiveness. This requires the ability to calculate customers’ demand in the Fast Moving Consumer Goods (FMCG) industry as various effects exist between multiple products within a product category. The substitution effect is one of the challenging effects at retail stores, as it requires investigating an exponential number of combinations of price changes and the availability of other products. This paper suggests a systematic price decision support tool for demand prediction and price optimise in online and stationary retailers considering the substitution effect. Two procedures reflecting the product price changes and the demand correlation structure are introduced for demand prediction and price optimisation models. First, the developed demand prediction procedure is carried out considering the combination of price changes of all products reflecting the effect of substitution. Time series and different well-known machine learning approaches with hyperparameter tuning and rolling forecasting methods are utilised to select each product’s best demand forecast. Demand forecast results are used as input in the price optimisation model. Second, the developed price optimisation procedure is a constraint programming problem based on a week time frame and a product category level aggregation and is capable of maximising profit out of the many price combinations. The results using real-world transaction data with 12 products and 4 discount rates demonstrate that including some business rules as constraints in the proposed price optimisation model reduces the number of price combinations from 11,274,924 to 19,440 and execution time from 129.59 to 25.831 min. The utilisation of the presented price optimisation support tool enables the supply chain managers to identify the optimal discount rate for individual products in a timely manner, resulting in a net profit increase.

Association of Chronic Otitis Media with Sjogren's Syndrome: A Case-Control Study.

There is a paucity of large-scale population-based study whether patients with Sjögren's syndrome are at higher risk of chronic otitis media. This study aimed to investigate the association of chronic otitis media with Sjögren's syndrome by utilizing the representative dataset of the Taiwanese population. We identified 9473 patients with chronic otitis media as cases. We used propensity score matching to select 28,419 controls. We used multiple logistic regression analysis to examine the association of chronic otitis media with prior Sjögren's syndrome after adjusting for age, sex, monthly income category, geographic location and urbanization level of the patient's residence, allergic rhinitis, chronic rhinosinusitis and tonsillitis and adenoiditis. Chi-square tests showed a statistically significant difference in Sjögren's syndrome between patients with chronic otitis media and controls (4.89% vs. 2.93%, p < 0.001). In addition, we found patients with chronic otitis media were more likely to have Sjögren's syndrome (OR = 1.698, 95% CI = 1.509~1.910) relative to controls after adjusting for age, income, geographic location, residential urbanization level, allergic rhinitis, chronic rhinosinusitis and tonsillitis and adenoiditis. We also found that of the male patients, patients with chronic otitis media had a greater tendency to Sjögren's syndrome than controls (adjusted OR = 1.982, 95% CI = 1.584~2.481). Similarly, a statistically significant association between Sjögren's syndrome and chronic otitis media remains in female sampled patients (adjusted OR = 1.604, 95% CI = 1.396~1.842). We found that patients with Sjögren's syndrome were associated with the occurrence of chronic otitis media. It may guide physicians as they counsel patients with Sjögren's syndrome on the possibility of chronic otitis media occurrence.

An Integrated Approach to the Conceptualisation and Measurement of Social Cohesion

The core sociological subject of ‘social cohesion’ (hereafter SC) has re-emerged as a key concept in the social sciences. On the one hand, SC is thought to be influenced by a society’s degree of inequalities and the quality of its welfare state. On the other hand, SC is thought to be instrumental in its own right to other factors such as economic growth, institutional quality, and individual well-being. In recent years, a few attempts have been made to measure SC empirically. Many current indices have not been sufficiently theoretically substantiated, and do not consider the importance of different ‘social levels’ when explaining and measuring SC as both cause and effect of other correlates. Very often, SC is simply defined as a ‘social quality’ or a quality of a collective. As a result, measures are often aggregate macro-indices leading to a loss of the information base of any social ‘units’ below the macro-societal-level. Contributing to this important methodological debate, this paper provides a conceptual reformulation of SC. Hence, when assessing SC based on a multi-dimensional index, it is insightful and feasible to evaluate both its internal variation as well as its holistic validity. In fact, it is proposed that these two aspects of measurement stand in direct relationship to one-another. The paper starts out with a discussion of SC as a ‘social fact’ in the Durkheimian sense. In addition, three bridging propositions on the measurement of SC are advanced: (a) SC as outcome or consequence at the level of individual attitudes and orientations (‘micro’); (b) SC as degree of dissimilarity and presence of latent conflict within a society at the level of salient social categories (‘meso’), and (c) SC as predictor, social determinant and hence antecedent at the societal-level (‘macro’). Using all rounds of the European Social Survey with a very large sample size, the advantages of this approach are illustrated by singling-out the important link between socio-economic inequalities, social cohesion and individual subjective well-being in a path of action.

An integrated explicit and implicit offensive language taxonomy

Abstract The current study represents an integrated model of explicit and implicit offensive language taxonomy. First, it focuses on a definitional revision and enrichment of the explicit offensive language taxonomy by reviewing the collection of available corpora and comparing tagging schemas applied there. The study relies mainly on the categories originally proposed by Zampieri et al. (2019) in terms of offensive language categorization schemata. After the explanation of semantic differences between particular concepts used in the tagging systems and the analysis of theoretical frameworks, a finite set of classes is presented, which cover aspects of offensive language representation along with linguistically sound explanations (Lewandowska-Tomaszczyk et al. 2021). In the analytic procedure, offensive from non-offensive discourse is first distinguished, with the question of offence Target and the following categorization levels and sublevels. Based on the relevant data generated from Sketch Engine (https://www.sketchengine.eu/ententen-english-corpus/), we propose the concept of offensive language as a superordinate category in our system with a number of hierarchically arranged 17 subcategories. The categories are taxonomically structured into 4 levels and verified with the use of neural-based (lexical) embeddings. Together with a taxonomy of implicit offensive language and its subcategorization levels which has received little scholarly attention until now, the categorization is exemplified in samples of offensive discourses in selected English social media materials, i.e., publicly available 25 web-based hate speech datasets (consult Appendix 1 for a complete list). The offensive category levels (types of offence, targets, etc.) and aspects (offensive language property clusters) as well as the categories of explicitness and implicitness are discussed in the study and the computationally verified integrated explicit and implicit offensive language taxonomy proposed in the study.