Number Of Versions Research Articles

Securing Supply Chains in Open Source Ecosystems: Methodologies for Determining Version Numbers of Components Without Package Management Files

In the case of supply chain security detection research, determining the component version number is a crucial task for the open source components of package-free management files. This paper aims to explore the new perspective of the determination of component version numbers based on various methods and to propose an effective method. First, by analyzing the source code of the component, you can try to determine the version number of the component by a specific mode, function, or variable in the code. This approach requires in-depth study and analysis of the source code to extract key code snippets that may contain version information. Second, the submission history of the component can be used to track the change of the version number. The modification content and update information for each version is obtained by viewing the submission records of the components in the version control system. Such an approach is relatively feasible for those components with a canonical versioning history. In addition, the metadata or metadata information of the component can be used to determine the version number. Some open-source components may contain version-related information in their code or documentation, such as release date, release instructions, version labels, etc. By parsing and extraction of these metadata, the version number of the components is obtained. In addition, the version number of the component can be obtained through communication with the community or the developer. Participate in the relevant open source community or contact component developers to consult them for information about the component version. This approach may require more time and resources, but is a viable option for those components that are difficult to determine the version number through other means. To sum up, the determination of the version number of open source components without package management files is an important link in supply chain security detection.

Intonation Melody Therapy to Improve Language Production in Patients with Non Fluent Aphasia Disorder Post Stroke

Aims: This Evidance Based Nursing Practice (EBNP) is to increase language production in patients with non-fluent aphasia post stroke. Methods: This EBNP method uses pre and post to see an increase in language production by assessing token test scores. By calculating the number of samples G-Power version 3.1.9.7 as many as 7 respondents. Data processing using Jamovi. Results: The analysis obtained using the t-test showed that the token test score experienced a significant change before and after the administration of intonation melody therapy (pValue <0.001), while the outcome of an increase in language production showed a significant change after administration of intonation melody therapy (pValue 0.896) with an average mean change mean 11.4 (95% CI: 6.28 -16.6) and moderate effect size (Cohen's d: 0.205). Conclusion: provision of melodic intonation therapy is proven effective in increasing language production in patients with post stroke non fluent aphasia.

Comprehensive Examination of Version Number Attacks in IoT Networks: Nodes Hyperactivity as Specific Criterion

Abstract The security landscape of Internet of Things (IoT) networks continues to draw significant attention from recent networks; the Version Number Attack (VNA) stands out as a prominent threat to IoT network resources. Routing Protocol for Low-Power and Lossy Network structures low-power and lossy networks through one or more Destination Oriented Directed Acyclic Graphs (DODAGs). Each DODAG is assigned a version number, serving the purpose of ensuring the existence of loop-free paths to the root node. In the event of any inconsistency detected by the root node, the version number is incremented, triggering a global repair process and the reconstruction of the Directed Acyclic Graph. A potential security concern arises when a malicious node advertises a false version number in its control message, compelling the initiation of a global repair process. This study conducts a comprehensive analysis of the VNA’s impact, considering various parameters that have not been explored in previous research articles. These parameters include an examination of the additional forwarding tasks introduced by the attack and an exploration of factors contributing to node hyperactivity (such as loops, local and global repairs, etc.). The article delves into the specific control messages that result in the detrimental effects of the attack, offering a detailed analysis of control overhead, energy consumption, Packet Delivery Ratio, and latency. The obtained results show that the DAO (Destination Advertisement Object) messages dominate the total control overhead and are the main contributor to the total consumer energy, where the closest the malicious node to the sink the more damaging is the attack.

Expanding the technological capabilities of the twin roll casting machine.

urrently, one of the most promising areas of metallurgy development is the creation of foundry and rolling complexes based on twin roll casting machines. Their application makes it possible to organize the economical production of high-quality strips of stainless and alloy steels for critical purposes. Despite the existing experience in the creation and development of such equipment in Russia, domestic developments are still inferior to the foreign level. Thus, there is an urgent need to continue work on this topic and to create domestic industrial equipment, taking into account the latest technical solutions. At the same time, the technological capabilities of twin-roll casting machines both here and abroad are not fully used. The specialists of JSC AHK VNIIMETMASH have developed a number of the latest versions of the twin-roller casting machine with advanced technological capabilities. Due to the dosed supply of various reagents into the gap between the casting rolls-crystallizers it is possible to produce steel strips with improved properties, as well as porous aluminium strips, and also composite strips for critical applications. The article discusses the design and technological features of the proposed options for two-roller casting machines.

Analyzing Competitive Strategy and Cultural Integration of MihoYo: Takes Genshin Impact as an Example

With the development of Internet technology, the disappearance of the domestic traffic dividend, the intensification of market competition, the huge space for overseas market development, and the tightening of the policy on version numbers in 2018, forcing game manufacturers to turn to overseas markets on a large scale, the game has set off a boom at sea. As a cultural power with 5,000 years of civilization, China has continued to promote Chinese culture overseas, with its comprehensive national strength and international influence. In this context, the trend is for games and culture to go abroad, and MihoYo's product, Genshin Impact, has become an excellent case study. By understanding the background of MihoYo, analyzing its competitive strategy, and analyzing how its game Genshin Impact integrates Chinese culture through specific cases, we explore how MihoYo has achieved both fun and culture abroad and provide a reference for companies who want to accomplish both Chinese game and culture abroad.

Statistical and clustering analysis of attributes of Bitcoin backbone nodes.

Bitcoin is a decentralized digital cryptocurrency. Its network is a Peer-to-peer(P2P) network consisting of distributed nodes. Some of these nodes are always online and in this article are called Bitcoin backbone nodes. They have a significant impact on the stability and security of the Bitcoin network, so it is meaningful to analyze and discuss them. In this paper, we first continuously collect information about Bitcoin nodes from July 2021 through June 2022 (which is the longest duration of data collection to date). In total, we collect information on 127,613 Bitcoin nodes. At the same time, we conclude that the fluctuation of Bitcoin nodes is directly related to the fluctuation of onion network nodes. Further, we filtered 2694 Bitcoin backbone nodes based on our algorithm. By analyzing the backbone nodes' attributes such as geographic distribution, client version, operator, node function, and abnormal port number, it is demonstrated that these nodes are centralized and play an important role in the Bitcoin network. Based on this, three unsupervised machine learning algorithms are selected to cluster multiple attributes of backbone nodes in a more scientific way. In this paper, the whole process from data collection to cluster analysis is completed and the best results are obtained by comparison. The experiments proved the existence of centralization of Bitcoin backbone nodes and obtained the number of nodes within each cluster. Finally, cluster nodes are de-anonymized based on the optimal results. Through our experiments, we obtain organizational information about the deployers of 103 nodes, linking the Bitcoin backbone nodes to the real world, thus accurately demonstrating the existence of Bitcoin centrality.

Biosimilars in Dermatology Review

Background Safe and effective biosimilar medications have the potential to significantly increase access to these valuable drugs. The two current biosimilars available in dermatology in the United States (US) are infliximab and rituximab which were Food and Drug Administration (FDA) approved in 2016 and 2018 respectively. There has been significant interest in this topic as a number of biosimilar versions of adalimumab will be available in 2023. Objective This review will discuss biosimilar basics and the experience with biosimilars used in dermatology in the US, Asia, and Europe. Methods All articles in Ovid/Medline from 2015 to Feb 2023 on biosimilars were reviewed with a particular emphasis on medications used in dermatology. Other reports from pharmaceutical manufacturers and blogs following the development of the biosimilar industry provided key insights. Results Biosimilars have been able to produce significant savings and market share increases, particularly in Europe, where there has been a longer experience. The specifics depend on drug prescribing practices and incentives in the individual country. This degree of savings and market share increases have not been realized with the current biosimilars available in the US. Conclusion While biosimilars have resulted in significant savings compared to originator drugs, it is clear that prescribing incentives and physician education are crucial in achieving these savings. To what degree biosimilar market share will increase in the US remains to be determined.

Trust Based Mechanism for Isolation of Malicious Nodes in Internet of Things

The Internet of Things systems are prone to the attacks as they have ad-hoc and limited resource structure. IoT-based systems are utilized for managing a large volume of information and assist in services related to industrial and medical applications. Due to this, the IoT attains becomes a target for a multitude of attackers and adversaries namely occasional hackers, cybercriminals, hacktivists, government, etc. The major goal of potential attackers is to steal the sensitive information such as credit card numbers, location data, credential of financial account and information related to health, by hacking the Internet of Things devices. The version number attack is one of malicious activity of IoT which affect network performance to great extend. The version number attack is triggered by the malicious nodes which can flood unlimited hello packets in the network. The hello flood attack raised situation of denial of service in the network. The trust based mechanism is proposed in this research work in which trust value is assigned to each node based on their activities. The node which is least trusted will be marked as malicious and get isolated from the network. The proposed scheme is implemented in NS2 and results are analyzed in terms of throughput, packetloss, energy consumption and delay.

Isolation and Diagnosis of the Root Nodule Bacteria Associated with Mung Bean Plant in Gypsiferous Soil and Testing the Promotional Criterion of Isolates

The root nodule bacteria are utilized in the production of natural biological fertilizers to achieve clean agriculture by reducing chemical fertilizers. In this study, 35 samples of the root nodules associated with mung bean plants were collected from various agricultural areas of Iraq, Salah Al-Din Governorate on 4\\7\\2022, ten samples isolated by growing them on yeast extract mannitol agar (YEMA) and the phenotypically pure isolates were diagnosed based on the culture, microscopic and biochemical characteristics., The phenotypic diagnosis results showed that The color of the colonies was between white, creamy and yellow, Spherical, convex and smooth, gram-negative, was able to move and pink and light pink on Congo red stain medium and 9 isolates it was fast growing as it gave yellow color on YEMA-BTB bromothymol blue medium except for one isolate it was slow growing as it gave blue color and all isolates unable to grow on Hofer alkaline medium except for one isolate, The efficient isolate was selected in the production of indole acetic acid, chelating compounds and phosphate solubilization,. The results showed that isolates (M3, M4, M5, M6, M7) have a high ability for iron chelation. It was found that the (M6) isolate gave the highest phosphate solubilization and indole production, which showed a phosphorus solubilization of 39.504 mg P.L-1 and an indole production rate of 21.5 μg.ml-1. This was followed by the isolate (M3), which showed a phosphorus solubilization of 23.723 mg P.L-1 and an indole production rate of 17.2 μ.g.ml-1. Molecular diagnosis was performed for five competent isolates in the production of Indole acetic acid, production of chelating compounds, and phosphate solubilization. The isolates were molecularly diagnosed by PCR, the 16SrRNA gene was amplified, then the sequence of nitrogenous bases was analyzed and when matching with the global strains included in the NCBI Genetic Bank website, The results of molecular diagnosis showed that two isolates belong to Rhizobium bacteria. the results showed that (M3) isolate is %99.50 similar to the Rhizobium leguminosarum isolate OTU21_I. and the results showed that (M6) isolate is 99.48% similar to the Bradyrhizobium japonicum strain A3 and 99.96% to the Bradyrhizobium japonicum, strain:NK5 and therefore the isolates is genetically close to Rhizobium leguminosarum strain AE15 and Bradyrhizobium japonicum strain AE14 bacteria and has been recorded in the Global genome bank under accession number OP975690 and version number OP975690.1 for Rhizobium leguminosarum and accession number OP975688 and version number OP975688.1 for Bradyrhizobium japonicum and this record is the first for this bacteria which associated with mung bean in gypsiferous soils in Iraq.

Trust based Mechanism for Isolation of Malicious Nodes in Internet of Things

The Internet of Things systems are prone to the attacks as they have ad-hoc and limited resource structure. IoT-based systems are utilized for managing a large volume of information and assist in services related to industrial and medical applications. Due to this, the IoT attains becomes a target for a multitude of attackers and adversaries namely occasional hackers, cybercriminals, hacktivists, government, etc. The major goal of potential attackers is to steal the sensitive information such as credit card numbers, location data, credential of financial account and information related to health, by hacking the Internet of Things devices. The version number attack is one of malicious activity of IoT which affect network performance to great extend. The version number attack is triggered by the malicious nodes which can flood unlimited hello packets in the network. The hello flood attack raised situation of denial of service in the network. The trust based mechanism is proposed in this research work in which trust value is assigned to each node based on their activities. The node which is least trusted will be marked as malicious and get isolated from the network. The proposed scheme is implemented in NS2 and results are analyzed in terms of throughput, packetloss, energy consumption and delay.

Integration and Exploration of Digital Painting and Traditional Watercolor Painting

In the 20th century, sociologist and critic Walter Benjamin affirmed that works of art became more accessible through mechanical and industrial production and lost their aura. Although paintings and sculptures have remained rarity throughout the history of art due to their uniqueness, emerging fields such as photography and design required new ways of creating value at the time. The most common solution to creating value for such art is to limit the number of versions, in other words, to oppose the reproducibility of these items. In Benjamin's thesis, the "Aura" as the only feature of the artwork will decline with the continuous development of technology. The rise of digital art at this stage just confirms this point of view, and the art form of traditional painting has encountered unprecedented challenges. Edmond Belamy, a portrait created by artificial intelligence, was successfully sold at Christie's in 2018 for a transaction price of $ 432,500. This marks that the commercial world auction organization has recognized the art produced by artificial intelligence. The fields involved include painting, architecture, and installation art. The main research question of this article is whether the aesthetic standards and values of the electronic painting are consistent with traditional painting? Especially the direction of digital painting?

An ensemble learning framework for the detection of RPL attacks in IoT networks based on the genetic feature selection approach

The rapid proliferation of Internet of Things (IoT) devices has raised critical concerns regarding the security of corresponding IoT networks. The Routing Protocol for Low-Power and Lossy Networks (RPL), a foundational element in IoT communication, is susceptible to diverse routing attacks due to IoT nodes’ constrained resources and open nature. This underscores the necessity for an Intrusion Detection System (IDS) to safeguard RPL-based IoT networks. Existing anomaly-based IDS suffer from high false alarm rates (FAR). In response to these challenges, this paper presents the Ensemble Learning-based Intrusion Detection System (ELG-IDS), which employs stacking and extreme parameter optimization to detect three RPL internal attacks: version number, decreased rank, and DIS flooding attacks. ELG-IDS employs enhanced feature extraction and genetic algorithm (GA)-based feature selection. Experimental results on a dedicated dataset demonstrate ELG-IDS's remarkable accuracy: 99.18%, 99.38%, 99.66%, and 97.90% for version number, rank attack, DIS flooding, and an average accuracy of 97.90% in multi-classification mode, respectively. This study advances IoT network security through ELG-IDS, enhancing protection against evolving security challenges.

SHOT UK Collaborative Reviewing and Reforming IT Processes in Transfusion (SCRIPT) survey: Laboratory information management systems: Are we ready for digital transformation?

To understand the use, functionality and interoperability of laboratory information management systems (LIMS) in UK transfusion laboratories. LIMS are widely used to support safe transfusion practice. LIMS have the potential to reduce the risk of laboratory error using algorithms, flags and alerts that support compliance with best practice guidelines and regulatory standards. Reporting to Serious Hazards of Transfusion (SHOT), the United Kingdom (UK) haemovigilance scheme, has identified cases where the LIMS could have prevented errors but did not. Shared care of patients across different organisations and the development of pathology networks has raised challenges relating to interoperability of IT systems both within, and between, organisations. A survey was distributed to all SHOT-reporting organisations to understand the current state of LIMS in the UK, prevalence of expertise in transfusion IT, and barriers to progress. Survey questions covered LIMS interoperability with other IT systems used in the healthcare setting. A variety of LIMS and version numbers are in use in transfusion laboratories, LIMS are not always updated due to resource constraints. Respondents identified interoperability and improved functionality as the main requirements for transfusion safety. A nationally agreed set of minimum standards for transfusion LIMS is required for safe practice. Adequate resources, training and expertise should be provided to support the effective use and timely updates of LIMS. A single LIMS solution should be in place for transfusion laboratories working within a network and interoperability with other systems should be explored to further improve practice.

Research and Scientific Conclusions about the Linguistic and Stylistic Features of the Work ‘Divan-i Hikmet’

In this article, the author analyzes local and foreign publications of research and scientific data on the linguistic and stylistic features of the work of Divani-i Hikmet, which is considered one of the common heritages of the Turkic peoples. In particular, he analyzes the views of scientists such as A. Vamberi, A. Nazhip, T. Mentsel, E. Bertels, A.K. Borovkov, A.N. Kononov, N. Baskakov, F.M. Koprulu, E. Rustamov, G. Aidarov, A. Kurushzhanov, M. Tomanov, K. Eraslan, M. Orazov, G. Musaev, A. Guzel, R. Syzdykova, L. Kadyrov, A. Mukhtarov, U. Sanakulov, U. Tursunov, B. Urunboev, A. Aliyev about linguistic features of hikmets. Initially, having considered the divergence of opinions regarding which branch of the Turkic languages the “Divan-I Hikmet” belongs to, the author connects this connection with the large number of versions of the monument and the fact that the versions differ from each other in content and language. Further, he notes the fact that the version of “Divan-I Hikmet”, written under Khoja Ahmed Yassawi, did not reach our days, caused controversy among scientists. Meanwhile, the author believes that the allegations that Yasawi’s hikmets were written in the ancient Turkic language or in the Karakhanid period are unfounded, and the construction of one or another branch of the modern Turkic language is the result of forgetting some features of this language or language groups. In this regard, in order to prove or disagree with the views and conclusions of some scientists, expressing his opinion, basing himself on concrete examples, he compared some phonetic, morphological and lexical and grammatical features of Divani-i Hikmet with their use in ancient monuments and modern Turkic languages.

Spatiotemporal Analytics of Environmental Sounds and Influencing Factors Based on Urban Sensor Network Data

Urban construction has accelerated the deterioration of the urban sound environment, which has constrained urban development and harmed people’s health. This study aims to explore the spatiotemporal patterns of environmental sound and determine the influencing factors on the spatial differentiation of sound, thus supporting sustainable urban planning and decision-making. Fine-grained sound data are used in most urban sound-related research, but such data are difficult to obtain. For this problem, this study analyzed sound trends using Array of Things (AoT) sensing data. Additionally, this study explored the influences on the spatial differentiation of sound using GeoDetector (version number: 1.0-4), thus addressing the limitation of previous studies that neglected to explore the influences on spatial heterogeneity. Our experimental results showed that sound levels in different areas of Chicago fluctuated irregularly over time. During the morning peak on weekdays: the four southern areas of Chicago have a high–high sound gathering mode, and the remaining areas are mostly randomly distributed; the sound level of a certain area has a significant negative correlation with population density, park area, and density of bike route; park area and population density are the main factors affecting the spatial heterogeneity of Chicago’s sound; and population density and park area play an essential role in factor interaction. This study has some theoretical significance and practical value. Residents can choose areas with lower noise for leisure activities according to the noise map of this study. While planning urban development, urban planners should pay attention to the single and interactive effects of factors in the city, such as parks, road network structures, and points of interest, on the urban sound environment. Researchers can build on this study to conduct studies on larger time scales.

Seeing is not always believing: Insights on IoT manufacturing from firmware composition analysis and vendor survey

Attacks on Internet of Things (IoT) devices have become increasingly sophisticated. However, there exist few comprehensive security investigations of IoT devices. We conducted a large-scale systematic investigation by assessing IoT firmware and follow-up survey with professionals involved in IoT-device manufacturing to understand the factors that prevent software security of IoT devices. Consequently, we discovered that many IoT devices continue to use old processor architecture and operating systems that are unable to efficiently use existing attack-mitigation features. Furthermore, we demonstrated that software patches are sometimes implicitly applied without changing the software version number (implicit patching); this may generate false positives in existing vulnerability assessments relying on software versions. On the basis of a follow-up survey, we determined technical and contractual constraints to IoT security emanating from the supply chain in the IoT device manufacturing industry. Based on the results, we discuss challenges associated with secure IoT manufacturing in the IoT-device supply chain.

Stone as Witness

The depiction of stones that speak has long been used as a literary and philosophical device to reflect upon the limitations of human language (i.e., language as a petrification of thought and action). Jacques Rancière has described stone’s capacity to bear witness as a form of “mute speech,” noting how “any stone can also be language,” as a part of the “testimony that mute things bear to mankind’s activity.” In exploring the character of this form of testimony, and asking how we hear it, this article examines the function of the Stone Guest in the legend of Don Juan, across Molière’s and Pushkin’s theatrical versions, a short film version by Marina Fomenko, and Mozart and Da Ponte’s operatic version, so revered by Kierkegaard and others. The character of the Stone Guest is often seen as casting judgement against the aesthetic mode of life, yet the power of the character lies not in his ghostly humanity or sense of retribution, but in his stoniness – his capacity to bear witness, just as a stone monument bears witness or commemorates a past trauma. In a number of versions of the Don Juan story, the Stone Guest is announced by approaching footsteps or knocking. This acousmatic device mirrors the uncanny separation of sound and source in opera – the way in which music mediates between the conflicting imperatives of language and the corporeal or material aspects of the singing voice, lending opera its vaunted mechanical qualities. Using stones that speak as a heuristic, the article draws together ideas about the limitations of language and the mechanical qualities of opera in order to excavate the auditory affordances of the stone’s form of testimony, in all its inorganic liveliness.

Association Between Timed Up-and-Go Test and Future Changes in the Frailty Status in a Longitudinal Study of Japanese Community-Dwelling Older Adults.

This study aimed to evaluate the relationship between timed up-and-go (TUG) test time and changes in frailty status in a longitudinal cohort study of rural Japanese older adults. This prospective cohort study included 545 community-dwelling older adults. Initial and 2-year follow-up surveys were conducted. We compared the number of the Japanese version of the Cardiovascular Health Study components during the follow-up period and classified the participants into three groups: the favorable change, unchanged as prefrail, and unfavorable change groups. Associations between changes in frailty status and TUG time in the first survey were examined. The predictive ability of the TUG test was determined using the receiver operating characteristic (ROC) curve. The favorable change group comprised 315 individuals (57.8%), the unchanged as prefrail group 105 (19.2%), and the unfavorable change group 125 (22.9%). TUG time was associated with the favorable and unfavorable changes after adjustment for covariates (OR 0.79, 95% CI 0.68-0.92, P=0.001 and OR 1.27, 95% CI 1.09-1.49, P=0.002). The ROC curve of TUG time as a predictor of unfavorable changes showed an area under the curve of 0.59. A cut-off point of TUG was calculated as 6.3 s with 49.6% sensitivity and 66.0% specificity. TUG time in the first survey was significantly associated with changes in frailty status 2 years later. However, its predictive value as a stand-alone test is limited and has the potential to predict future changes in the frailty status in older adults in combination with other tests.

Changes in Registration Parameters for Ongoing Clinical Trials in Ukraine After 2022 Russian Invasion

Clinical trial activity in Ukraine was seriously affected by the Russian invasion. However, data are lacking on how this conflict affects clinical trials. To evaluate whether registered changes to trial information reflect war-related disturbances to trials in Ukraine. This cross-sectional study included noncompleted trials conducted in Ukraine from February 24, 2022, to February 24, 2023. Trials conducted in Estonia and Slovakia were also analyzed for comparison. Study records within the ClinicalTrials.gov archive were accessed by using the change history feature in the tabular view for each record. Russian invasion of Ukraine. The frequency of changes to the protocol and results registration parameters before and after the start of the war, February 24, 2022. A total of 888 ongoing trials conducted only in Ukraine (5.2%) or in multiple countries (94.8%), and enrolling a median of 348 participants were analyzed. Almost all sponsors for 775 industry-funded trials were non-Ukrainian (99.6%). On February 24, 2023, 267 trials (30.1%) were without any recorded update in the registry after the war. In 15 (1.7%) multisite trials, Ukraine was removed as a location country after mean (SD) of 9.4 (3.0) postwar months. The rates of changes in 20 parameters 1 year before and after the war started had a mean (SD) absolute difference of 3.0% (2.5%). Besides study status changes in each study record version, the contacts and locations field was the most frequently modified (56.1%), with a higher rate for multisite (58.2%) than in only Ukrainian (17.4%) trials. This finding was consistent for all analyzed registration parameters. In trials conducted solely in Ukraine, the median number of record versions was the year before (95% CI, 0-0) and after February 2022 (95% CI, 0-1), similar to registered trials from Estonia and Slovakia. Results of this study suggest that war-related changes in trial conduct in Ukraine may not be completely visible in the largest public trial registry, which is expected to present accurate and timely information on clinical trials. These findings raise questions regarding the updating practices for registration information, which should be mandatory, especially in times of crises, to ensure the safety and the rights of trial participants in a war zone.

Prediction of test results to determine the hydraulic resistance coefficient of an axially symmetrical check valve

The urgency of the paper is determined by the necessity to predict the results of tests for determining the coefficient of hydraulic resistance of axially symmetrical check valve DN 100-600 with operating pressure up to 20 MPa and operating temperature from plus 50C to plus 3500C according to TS 6981-254-08847871-07. This paper suggests to reduce the volume of tests by excluding the tests for intermediate samples of valves (DN 100, DN125, DN 200, DN 300, DN 500, DN 600) situated in DN between the valve type models (DN 100, DN 175, DN 400) and replaced the tests by calculations in the programme module ANSYS CFX of the calculation complex ANSYS. The results of the tests for determining the coefficient of hydraulic resistance are given. An estimate of hydraulic resistance coefficient values is offered and recommendations for its determination are given. The experimental determination of hydraulic characteristics was carried out in the region of quadratic resistance and in absence of cavitation (the tests were done on water). The region of quadratic resistance comes at Reynolds numbers Re ≥ 2 × 104 for check valve of nominal diameters DN ≤ 250. The region of quadratic resistance ReKB is determined in the process of experimental determination of drag and flow capacity factors for valves of nominal diameters DN ≥ 250. The procedure of determination of ReKB is described in 7.2.3 of GOST 55508-2013. These test results for determination of hydraulic resistance coefficient for valves DN 150, DN 175, DN 400 according to TU 6981-254-08847871-07 can be used when developing acceptance test programs to set the number of tested samples according to the design features and number of versions of check valves (DN 100, DN125, DN 200, DN 300, DN 500, DN 600), replacing the testing by calculation.