Important Category Research Articles

Enabling factors for the development of mini-grid solutions in Mozambique: A PESTLE-based analysis

Electricity is crucial for each country's economic and social development. More than half of the population in Sub-Saharan African (SSA) lack access to energy, which has dire consequences for the local population's living conditions, as well as affecting the local economy and increasing poverty. Renewable energy-based mini-grid (REBM) systems are the promising solution to mitigate the issue of energy access in rural areas, however, the expansion of renewable energy (RE) systems and the rate of energy access are both advancing at a slow pace. This study used PESTLE analysis (Political, Economic, Social, Technological, Legal, and Environmental) in the context of Mozambique, a SSA country, to identify the most important categories and factors to support decision-making processes by breaking down existing barriers and hurdles in the energy sector enabling them to plan and implement measures, subdivided in primary, secondary and tertiary for the development of REBM in remote settlements. Even though PESTLE analysis is rather often worldwide applied to the energy sector, its application to the Sub-Saharan context is rare, while its application to the Mozambique energy sector is absent in scientific literature. Besides, within our study, energy experts from different professional backgrounds and nationalities have been interviewed using an online questionnaire: 62 energy experts (48 Africans, and 14 Non-African) from 14 different countries assessed the categories and factors. The experts questioned identified the political category as the most crucial for policy-makers to prioritize, with the top three global weighting factors being, Clear Government policies (plan, regulation, priority, strategy) 5.79%, National financial scheme for RES investments 4.93%, and cost of investment 4.86%. The findings can support policy-makers breakdown barriers in the energy sector, planning and implementing measures for the REBM development, and contribute to achieving the SDG7 target.

Inventory Control Using ABC Classification and Min-Max Stock Method in The Manufacture of Armored Vehicle Body Hull at PT XYZ

Research and development efforts are currently underway to enhance inventory control systems. However, fluctuations in demand often pose challenges to achieving optimal inventory management. To address this issue, it is crucial to establish efficient control measures that maintain an optimal inventory level. This study focuses on finding an effective approach for PT XYZ to manage stockpiles of raw materials for armored vehicle body hulls, aiming to prevent shortages or excessive stockpiling. The research uses the ABC categorization system and the min-max stock approach as its material inventory control strategies. Inventory classification, inventory turnover, the amount of safety stock, minimum stock, maximum stock, and order quantity are all determined using this procedure. By conducting a case study on PT XYZ's material inventory control for Panzer body hulls, it was identified that 3 materials fell under the important category (A), 3 materials in the moderate category (B), and 20 materials in the less critical category (C). The findings of this research are that the ABC method and min-max stock can be used as a reliable foundation for establishing inventory control parameters. Companies are advised to evaluate and consider the rules for each material, such as material costs, rare or not material types, and a history of delays from suppliers. These factors play a significant role in determining appropriate inventory control measures.

Evaluation of causes and effects of environmental shifts in the Lower Digaru River Basin, Assam, India

Environmental issues like deforestation, biodiversity loss, soil erosion, siltation, wetland shrinkage, river bank erosion, etc. in drainage basin perspectives today are in a rapid flux triggered by population growth and developmental activities. Focusing on the Lower Digaru River basin of North-East India,the present study investigates the changes in theLand Use / Land Cover (LULC)trend using geospatial techniques and the cause-effect relationship by identifying the various environmental issues operating within the study area. The study area has been classified into nine LULC classes: dense forest, openforest, scrub forest, fallow land, barren land, cropland, dense scrub, mixed built-up land, and water body. The results revealed that the area under dense forest has drastically declined from 60.25 % to 16.63 % during 1999-2020. In contrast, the other important categories like Mix built-up land (8.11 % to 14.05 %), scrub forest (2.1 % to 25.11 %), barren land (0.2 % to 6.63 %) and open forest (11.9 % to 18.34 %) show an increasing trend of change during the said period. Post-classification comparison of the classified images based on the transition matrix indicated that approximately 40 % of the total area under forest had been converted to scrub forest, followed by 25.09 % to open forest and, most significantly, 5.22 % to mix built-up land during 1999 -2020. Increasing population pressure and growth of economic activities like the establishment of brick industries, coke industries, and sand mining were the major driving forces for such LULC changes. Environmental implications like wetland shrinkage, river bank erosion, alteration of human occupation and economy, etc., were the study area’s prime concern. The findings suggest that integrated watershed management and land use planning should be implemented in the Lower Digaru River Basin.

Protection of immovable objects of cultural heritage under aggressive war conditions: theoretical and practical aspects

The aim of this paper is to analyze the theoretical foundations and practical components of the protection of immovable objects of cultural heritage in the conditions of an aggressive war unleashed by russia on the territory of Ukraine. Methodology. The author uses as a methodological basis of this study the principles and methods of the cultural approach to the analysis of numerous publications, practical experience and norms of national legislation on the protection of cultural heritage. Results. Circumstances that significantly complicate the protection of immovable monuments in the conditions of martial law include the lack of direct legislative regulation of monument protection activities in this period, the practical possibility of predicting the degree of risk for them within different regions of our country, sufficient funding for the protection of monuments depending on their type and actual location. Novelty. It was determined that despite the state of war, the activities of the state registration of immovable objects of cultural heritage under the category of national or local importance continue. It was also argued that in the context of ensuring the protection of immovable objects of cultural heritage, the methods of “physical protection” cannot be applied to all their types.

Application of "Human Factor Analysis and Classification System" (HFACS) Model to the Prevention of Medical Errors and Adverse Events: A Systematic Review.

Hospitals, as one of most important subsectors in human societies, are responsible for providing safe and effective medical services to clients. But sometimes these hospitals are the source of injury and death in patients by creating medical errors. In this systematic review study, the application of human factor analysis and classification system (HFACS) method in the classification of medical errors was investigated. Major electronic databases including Scopus, Web of Science, and MEDLINE were searched. All studies that investigated the application of HFACS method for coding, causation, and classification of medical errors and adverse events conducted from 2001 until February 2021 were included. A total of 108 articles were found. Due to duplication, 18 studies were removed from the review list. After reading the titles and abstracts, 50 of these publications were excluded because they had objectives different from this review. The remaining 40 publications were retrieved for further assessment. Of these, 28 publications were excluded because it did not meet the inclusion criteria. Finally, 12 articles remained for the final systematic review. We found that in 65% of the selected studies, preconditions for unsafe acts have been the major causal level of medical errors and adverse events. In the majority of the studies, communication and coordination, adverse mental states, physical environment, crew resource management, and technological environment have also been recognized as the most important causal categories in this study. As a result, to prevent medical errors and adverse events, the main focus should be on controlling the preconditions for unsafe acts including personnel factors, operator conditions, and environmental factors.

Protein Alternatives for Use in Fish Feed – Life Cycle Assessment of Black Soldier Fly, Yellow Mealworm and Soybean Protein

Abstract More production is needed as fish consumption increases. The increasing demand for fish also has implications for fish feed, the efficiency of its production and sustainability. Three protein alternatives – Black Soldier Fly, Yellow Mealworm, and Soybean – are compared to assess the sustainability of raw materials and their environmental impact. Each alternative has advantages and disadvantages. The advantages of Black Soldier fly and Yellow Mealworm are a valuable source of protein, sustainable growth (as the feed can be used in food waste) and no need for arable land. The disadvantages of Black Soldier fly and Yellow Mealworm are cost, unbalanced diets can adversely affect growth, and the nutritional impact on fish varies depending on the species of fly or mealworm. The advantages of soybeans are price, availability, and high protein content, while the disadvantages are the lack of essential amino acids, which affect the quality of the fish, and poor taste. An LCA study has been carried out on the proteins of black soldier fly, yellow mealworm and soybean. The most important impact categories from the PEFCR are climate change, particulate matter, acidification, land use, terrestrial eutrophication, and water use. The total single point value for the Black Soldier fly protein is 1.43E+01 µPt, the Yellow mealworm protein is 3.89E+02 µPt and the Soybean protein is 9.72E+01 µPt. The significant effect is due to the electricity consumption and the ingredients used in the feed. Sensitivity analysis was carried out for Black Soldier fly protein and Yellow Mealworm protein production where feed formulation was varied. In both sensitivity analyses, the lower environmental impact is from the new feed structure, which may be due to the use of food waste and wheat as feed ingredients in the new feed structure.

A Recognition Method of Measuring Literature Topic Evolution Paths Based on K-means-NMF

In this study, we propose a recognition method of measuring literature topic evolution paths based on K-means-NMF in order to address problems such as the unobvious effect of topic clustering, high degree of mixing in clustering results, and unclear topic evolution paths that exist in the current research of topic evolution analysis. Firstly, we enhance the traditional NMF (Nonnegative Matrix Factorization) topic model by combining the K-means clustering algorithm with the NMF model to improve the accuracy of topic clustering and reduce the correlation among topics. Secondly, we perform the topic co-occurrence analysis based on the clustering results to identify important topic categories for recognizing critical evolution paths to solve the problem of multiple possible evolution paths in the experiment. Thirdly, we adopt the Word2Vec model to calculate topic word vectors in a semantic context to improve the accuracy of the correlation strength between topics at adjacent stages. Finally, we adopt the above method to conduct an empirical study using intelligent algorithms as an example. The experimental results show that this research method effectively identifies important topics and topic developments in the subject area, which can support scientific research and science and technology policy development.

Study of the propagation characteristics and narrative strategy of knowledge-sharing short video

The presentation and propagation of knowledge is always carried by media carrier, and the media form and technologies determine the knowledge form and the narration evolution. With the development of Internet technology and the arrival of 5G era, great changes have taken place in the information acquisition habits of users, while paperless reading and visual reading have become more and more normalized ways of information acquisition. At this all--media era, short video combined with knowledge propagation which can meet users’ need of information acquisition under an information environment with fragmented knowledge and time is becoming a new direction of promoting knowledge transfer and improving citizens’ scientific literacy. Though knowledge-sharing short videos have been one of the important content categories in current We Media ecology, their development history is still short, so it is lack of systematic research in academic circle yet. This paper chose some typical knowledge-sharing short video samples from short video platforms, summarized the propagation characteristics of them, and analyzed the narrative strategy of knowledge-sharing short video from narrative subject, time, space, discourse and so on.

Analysis of profitability of production of energy companies of the Irkutsk region

Energy is a life support industry that determines the state of the economy of the state as a whole. The energy sector is: 1. the infrastructure of all sectors of the economy and the life support system of the population; 2. business, which provides about 30% of GDP, 50-60% of the income of the country’s budget system and up to 65% of all foreign exchange earnings; 3. the geopolitical factor determining the role of Russia in the international arena. Profitability of production is an important economic category of the market economy, knowledge of the nature of which allows the most successful regulation of the economy of individual enterprises, industries and the national economy as a whole. This indicator is often used in financial and investment analysis. The study of the effectiveness of the financial and economic activities of the organization, the identification of cause-and-effect relationships between the factors used and the results obtained create the basis for a scientifically based prediction of its state in the future when planning and forecasting. In the article, to carry out a factor analysis of the profitability of production, the author has developed a 3-factor model. The article reveals the influence of factors affecting the change in the profitability of production of energy companies of the Irkutsk region and gives the author’s methodological approaches for its calculation (methods of factor analysis developed by Filatov E.A.). The article presents the author’s analytical, systematized statistical material for the analysis of key indicators revealing the impact on the change in the profitability of production of energy companies of the Irkutsk region regions of the Russian Federation.

РОЗКРИТТЯ СУТНОСТІ ПОНЯТТЯ МІЖНАРОДНОЇ КОНКУРЕНТОСПРОМОЖНОСТІ ЕНЕРГЕТИКИ В УМОВАХ НЕВИЗНАЧЕНОСТІ

The relevance of this study is that competitiveness is one of the most important and fundamental economic categories. The problem of researching international competitiveness is gaining more and more importance in the conditions of growing uncertainty. In Ukraine, the energy industry has a particularly high level of uncertainty of the economic environment, which is caused by the large-scale destruction of its infrastructure due to a full-scale war by the Russian aggressor since February 24, 2022. The relevance of the choice of namely this industry is also due to the fact that it provides energy resources (electricity, heat, gas, petroleum) to economic entities of all industries, therefore its problems will significantly affect it stable work. In the same way the problems of the international the competitiveness of energy industry in conditions of uncertainty will have a negative influence, first of all, on state export revenue, hence, on budget revenues and on balance of payments. To overcome this problems and challenges of uncertainty in conditions of which the international competitiveness of the energy industry has seriously fallen, primarily, it is needed explore the essence of the very components of the concept of international competitiveness of energy industry in conditions of uncertainty. After all, without understanding the essence of this complex concept, it is impossible to carry out an adequate formalized assessment with a suitable methodological approach of the phenomena, processes, characteristics of objects and subjects associated with it, on the basis of which a set of measures is subsequently developed to solve problems that have a negative impact on it. The object of this study is a disclosure of the essence of the concept of the international competitiveness of the energy industry in conditions of uncertainty. The main research methods are: decomposition, system analysis, morpheme-semantic analysis, etymological analysis, comparative analysis, logical chain method, grouping, synthesis, abstraction, theoretical generalization. Results of the research: decomposition of the concept of international competitiveness of the energy industry in conditions of uncertainty into simple one-word concepts was carried out; their morpheme-semantic and etymological analysis was carried out; a logical chain is built between them; the structure of the energy industry was analyzed by the objects of competitiveness. The practical application of the obtained results consists in the fact that, based on the disclosure of the essence of the international competitiveness of the energy industry in conditions of uncertainty, recommendations were provided for the quantitative assessment of its level.

Semi-Automated Enzymatic Determination of Ethanol in Beverages: Collaborative Study for RIDA®CUBE Ethanol

Easy and quick methods to quantify ethanol reliably in beverages are always important. In 2022, the EnzytecTM Liquid Ethanol test kit was approved as AOAC Official MethodSM 2017.07 Final Action after a collaborative study was conducted with different beverages such as kombucha, juices, and beer. During set-up of this collaborative test, small sized companies asked to include the RIDA®CUBE Ethanol/RIDA®CUBE SCAN device since it is easy to use, suitable for a few samples only and contains the identical reagents as the EnzytecTM Liquid system. It is applicable to quantify ethanol in diluted kombucha, fruit juices, and alcohol-free beer samples around 0.5% alcohol-by-volume within 12 min. The overall relative reproducibility standard deviation across a wide concentration range for kombucha, was calculated to be 6.29%. Analysis of juices and beer showed an overall higher variation with an estimated overall RSD(R) value by regression of 14.4%. The data obtained by this collaborative study show that the RIDA®CUBE Ethanol in combination with the RIDA®CUBE SCAN device is suitable to quantify ethanol from matrices representing important alcohol-free liquid food categories.

Multiresolution Analysis Pansharpening Based on Variation Factor for Multispectral and Panchromatic Images From Different Times

Most pansharpening methods refer to the fusion of the original low-resolution multispectral (MS) and high-resolution panchromatic images (PAN) acquired simultaneously over the same area. Due to its good robustness, multiresolution analysis (MRA) has become one of the important categories of pansharpening methods. However, when only MS and PAN images acquired at different times can be provided, the fusion results from current MRA methods are often not ideal due to the failure to effectively analyze multitemporal misalignments between MS and PAN images from different times. To solve this issue, MRA pansharpening based on variation factor for MS and PAN images from different times is proposed. The multi-resolution analysis pansharpening based on dual-scale regression model is first established, and the variation factor is then introduced to effectively analyze the multitemporal misalignments by using alternating direction method of multipliers (ADMM), yielding the final fusion results. Experiments with synthetic and real datasets show that the proposed method exhibits significant performance improvement compared to the traditional pansharpening methods, as well as the state-of-the-art MRA methods. Visual comparisons demonstrate that the variation factor introduces encouraging improvements in the compensation of multi-temporal misalignments in ground objects and advances pansharpening applications for MS and PAN images acquired at different times.

Tunable thermoplastic elastomer gels derived from controlled-distribution triblock copolymers with crystallizable endblocks.

Thermoplastic elastomers (TPEs), a commercially important category of triblock copolymers, are employed alone or upon physical modification with a midblock-selective oil (to form TPE gels, TPEGs) in a broad range of contemporary technologies. While most copolymers in this class of self-networking macromolecules possess glassy polystyrene endblocks and a rubbery polydiene or polyolefin midblock, we investigate TPEGs fabricated from a novel controlled-distribution copolymer with crystallizable polyolefin endblocks and a random-copolymer midblock. According to both electron microscopy and small-angle scattering, the morphologies of these TPEGs remain largely invariant up to 40 wt% oil and then transform considerably at higher oil levels. Although reductions in endblock melting point and crystallinity measured by thermal calorimetry accompany increasing oil content, mechanical properties such as the uniaxial strain at break and fracture toughness improve in some cases by over 50% between 5 and 40 wt% oil. In fact, the strain at break can reach 2500% within this range, thereby confirming that (i) the structure-property relationships of these unique TPEGs are highly composition-tunable and (ii) these TPEGs, stabilized by crystallizable endblocks, provide an attractive alternative for ultrasoft and stretchy recyclable materials.

PS-C27-2: RISK OF PSEUDO-MICROALBUMINURIA DURING MENSTRUAL SITUATION IN APPARENTLY HEALTHY WORKERS

Background: Measurement of urinary albumin excretion (UAE) is useful for the prediction of future cardiovascular event and is now used not only in clinical but also in health-check up or industrial settings. Especially, microalbuminuria (MA) is an important category of early vascular marker to alert lifestyle modification and/or pharmacological treatment. In the working female population, however, examination of urine in above settings could encounter menstrual situation. Contamination of menstrual blood into urine could induce pseudo-microalbuminuria. However, it has never been studied in apparently healthy women how much of contamination of menstrual blood could increase the risk of pseudo-microalbuminuria. To address this issue, we examined the relationship between urine occult blood level and UAE or frequency of MA cases during menstrual and non-menstrual situation in apparently healthy workers. Subjects and method: We studied 735 female school workers who participated in the Miyagi Karoshi Prevention study. Urinary albumin excretion adjusted for creatinine (UAE) from morning spot urine sample was examined together with annual health check-up in 2019 and 2020. Menstrual situation was confirmed by a questionnaire at the time of examination. One hundred and forty-four non-diabetic, non-hypertensive women without chronic kidney disease (36.9 ± 9.2yrs) were studied either during menstrual or non-menstrual situation in the 2 consecutive years. We compared clinical data during menstrual and non-menstrual situation and then examined the dose-response relationship between urine occult blood category (negative to three plus) and UAE or frequency of MA cases at menstrual and non-menstrual situation. Results: Menstrual situation was associated with significantly higher UAE (4.6 vs. 3.4 mg/gCr, p < 0.001), systolic BP (113.6 ± 13.1 vs. 111.3 ± 12mmHg, p = 0.015) and uric acid level (4.3 ± 0.8 vs. 4.10.9 ± mg/dl, p = 0.004) and was associated with significantly lower high density lipoprotein cholesterol (70.0 ± 14.4 vs. 72.7 ± 16.3 mg/dl, p < 0.001) and eGFR(85.0 ± 14.6 vs, 87.7 ± 16.9 ml/min/1.73m2, p = 0.003) as compared with non-menstrual situation. In menstrual situation, UAE was dose-dependently increased with an increase in urine occult blood category (p < 0.001). Frequency of MA in each urine blood category was 0, 0, 4.5, 0 and 17% (p = 0.001), respectively. UAE was not correlated with systolic BP or other parameters during menstrual situation. In non-menstrual situation, there was no correlation with UAE and urine occult blood level. Conclusion: Risk of pseudo-microalbuminuria could abruptly rise if urine occult blood level reach three plus in menstruated women.

Phishing or Not Phishing? A Survey on the Detection of Phishing Websites

Phishing is a security threat with serious effects on individuals as well as on the targeted brands. Although this threat has been around for quite a long time, it is still very active and successful. In fact, the tactics used by attackers have been evolving continuously in the years to make the attacks more convincing and effective. In this context, phishing detection is of primary importance. The literature offers many diverse solutions that cope with this issue and in particular with the detection of phishing websites. This paper provides a broad and comprehensive review of the state of the art in this field by discussing the main challenges and findings. More specifically, the discussion is centered around three important categories of detection approaches, namely, list-based, similarity-based and machine learning-based. For each category we describe the detection methods proposed in the literature together with the datasets considered for their assessment and we discuss some research gaps that need to be filled.

Comparison of multi-criteria decision aiding methods in the problem of employee recruitment

One of the most important categories of decisions made in the company are decisions regarding human resource management, in particular decisions related to the proper selection of personnel and recruitment. Wrong recruitment decisions can directly and indirectly lead to financial losses, while the right personnel selection decisions reduce job turnover, increase morale and eliminate the cost of subsequent recruitment process. The decision-making methods used in the literature in the recruitment of employees are mostly complicated, which may make their results unreliable for the management. Therefore, the article addresses the problem of verifying the applicability of relatively easy-to-use decision support methods, which were AHP (Analytic Hierarchy Process) and PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluations). Although in the considered problem of staff selection, the same candidate for employment was indicated as the best one, the conducted research allowed to conclude that these methods may lead to slightly different recommendations. Therefore, it is worth using both methods to confirm the results and obtain a more complete picture of possible decisions.

Robust Subspace Clustering by Logarithmic Hyperbolic Cosine Function

As an important category of clustering methods, subspace clustering algorithms have arisen particular attention during the last decade. Most subspace clustering algorithms are designed by first constructing a similarity matrix and then using spectral clustering algorithms to perform clustering. How to learn a suitable representation matrix to construct the similarity matrix is essential to the clustering performance. In most existing algorithms, the representation matrix is solved by norm-minimization, which commonly enforces the error matrix with nuclear norm or sparsity norm. However, these methods may fail to achieve satisfactory performance for real data contaminated by complex noise. To this end, we propose a novel robust subspace clustering method based on the Logarithmic Hyperbolic Cosine Function (LHCF). We theoretically analyze the grouping effect, as well as the convergence behavior, which illustrates that highly correlated samples can be grouped into the same cluster. Experimental results conducted on the Extended Yale B dataset show that the newly proposed algorithm yields better clustering performance compared with some advanced methods.

High-potential human resources under the new economic conditions: issues of management in the place marketing system

The latest geopolitical events and the new economic reality have significantly altered the labour market and human resource management practices, highlighting “talent”, i. e. high-potential professionals, as a strategically important category. This work aims to form the concept of high-potential human resource management in the system of place marketing of the region (the Tyumen Region was taken as an example). In the “war for talents,” regions traditionally compete for youth and young families with children. Considering the two recent waves of relocation, migrants — former residents of the region who now live outside the region or country — should be considered as an important target group. The online survey, carried out for more than 100 ex-residents of the Tyumen Region, has revealed the prospects of their participation in the regional economy and built the basis of the brand platform of the Tyumen Region for this target audience. It is proposed to integrate such HR-marketing tools as EJM (Employee Journey Map), EX (Employee Experience), and ERM (Employee Relationship Management) into the management system for this segment.

Концепт «судьба» в арабской лингвокультурной картине мира

One of the key concepts of the Arab worldview is «fate». Fate - (Arabic - al-qadar) - is the most important category of consciousness, with the help of which the Arab conceptual picture of the people’s world is built. To describe the concept of «fate», those concepts are distinguished that are associated in the minds of representatives of the Arab culture with this concept and reveal it, such as «al-qadar», «al-qadaa», «al-maniya», «kisma», « nasib» and others. This article attempts to analyze the linguistic means that represent the concept of «fate» in the Arab mind. The significance of this concept is determined, first of all, by its religious aspect. Fate and predestination are fundamental categories in the Islamic faith. The article examines the various contents of the concept of «fate» in the material of classical and modern media texts, and identifies the linguistic means by which it is represented in the linguistic consciousness. Through the analysis of the concept of “fate”, an attempt is made to comprehend, using semantic-cognitive methods, the social behavior of representatives of the Arab culture. The object behind the given word does not exist in empirical experience as a kind of reality, it is multidimensional and allows for a number of interpretations. When considering the concept of «fate», the methods of modern linguists are used, in particular, its gestalts are studied, such as «al-Qadar» (predestination), «al-Qadaa» (decision, predestination), «al-Maniya» (predetermined death), « kisma, nasib «(share, lot). These words emphasize the postulate that «every good and bad is from Allah.» When analyzing the concept of «fate», its close connection with another important concept of the Arab worldview - «freedom» is emphasized.

The Works of Charles Sorel in the Context of the Debate on “Vraisemblance” in the French Aesthetics of the 17th Century

The article analyzes the peculiarities of understanding the most important category of verisimilitude (vraisemblance) for the French aesthetics of the 17th century from the point of view of the French writer Charles Sorel, author of the “La vraye histoire comique de Francion” (1623–1633). Sorel attaches great importance to the category of verisimilitude, even to the point that he makes “vraisemblance” the main one for building the evolutionary system of the novel genre. In this case, in order to properly understand his creative and aesthetic views, it seems necessary to determine what exactly he understands by verisimilitude. Considering two fundamental aspects of the category of verisimilitude of the 17th century – rhetorical and mimetic – we analyze the particularities in the understanding of the category of verisimilitude by Sorel. Sorel rejects everything that concerns the rhetorical aspect of verisimilitude, that is, he denies everything that concerns the moralizing attitude of the work, focusing on the mimetic aspect, that is, on the proper embodiment of reality in a work of fiction. Nevertheless, despite the apparent similarity of Sorel’s position with the concept of mimesis, when analyzing his works, we see that his views are so different from the generally accepted model, allowing researchers to talk not about mimesis, but about Sorel’s counter-mimesis. This position anticipated the specifics of the literature of libertinage of the 18th century and the laws of realism in the literature of the 19th century.