Standards Based Research Articles

High-fidelity analysis of the electro-optical non-equivalence of planar electrical substitution radiometers

Abstract We present the results of a finite element analysis of the electro-optical non-equivalence of planar electrical substitution radiometers with vertically aligned carbon nanotube absorbers, operating at either room or cryogenic temperature. These detectors are the basis of the new room temperature standards of the Laboratory for Atmospheric and Space Physics’ (LASP) Total solar irradiance Radiometer Facility (TRF) and the Spectral solar irradiance Radiometer Facility (SRF), and the NIST Boulder open beam cryogenic radiometer facility.
We show that the detector of our cryogenic electrical substitution radiometer has no significant electro-optical non-equivalence. Further, we also show that with careful detector design, the non-equivalence can be minimized at room temperature. It was found that in general the non-equivalence cannot be deduced from the temperature mismatch between the electrical and the optical states without considering the conductance mismatch and optical power input. The results are regarded as being precise rather than absolute to account for potentially unknown modelling errors. The numerical accuracy is typically less than 5 ppm.

Proximate Analysis of Multi-grain Pizza Base

The ill effects of junk foods are widely known, as it is acknowledged that their regular consumption may cause irreparable damage to the body. The role of millet-rich foods in offering protection against diabetes and heart disease is well established, which has led to an interest in increasing nutrients in developed pizza bases. The present research has been conducted to develop a nutritionally rich "millet-based pizza base "using whole wheat flour, Kodo millet, buckwheat flour, and brown rice flour. The developed pizza base is noted to have advantages over a normal base made from refined wheat flour. Sensory evaluation by a panel of 25 members using a nine-point scale showed that T3 was the most preferred among the samples, suggesting its potential as a standardized pizza base. Nutrient analysis revealed protein content ranging from 7.13% to 9.5%, fat from 1.59% to 1.75%, fiber from 0.798% to 0.913%, moisture from 36.12% to 37.08%, and ash from 0.91% to 0.98%. Overall, the study concluded that these value-added pizza bases offer superior nutritional benefits compared to conventional options.

A QSimulator Quantum Programming System

In this paper the authors propose their own QSimulator quantum programming system, which is a software tool for deve­loping and debugging quantum algorithms in a high-level C++ language. The basic structure of the presented system is de­scribed, including quantum algorithms and quantum operations, available to the programmer. The components of the system and their fundamental basis are briefly outlined. This system emulates the behaviour of a quantum coprocessor in a standard computational basis and thus can be used for debugging and programming quantum algorithms in the language of quantum circuits. The system proposed by the authors also implements the Grover search algorithm and the Durr-Hoyer minimization algorithm based on it. Many tasks can be formulated in terms of the search task. In particular, the SAT problem. In this article, we also propose a variant of constructing an oracle in the form of a quantum circuit for the SAT problem, which can be integrated into the Grover algorithm implemented in the presented system. Automatic oracle generation for the SAT task will help save time in developing quantum algorithms related to this task when working with our system.

Safety of non-invasive brain stimulation in patients with implants: a computational risk assessment.

Non-invasive brain stimulation (NIBS) methodologies, such as transcranial electric (tES) are increasingly employed for therapeutic, diagnostic, or research purposes. The concurrent presence of active/passive implants can pose safety risks, affect the NIBS delivery, or generate confounding signals. A systematic investigation is required to understand the interaction mechanisms, quantify exposure, assess risks, and establish guidance for NIBS applications. We used measurements, simplified generic, and detailed anatomical modeling to: (i) systematically analyze exposure conditions with passive and active implants, considering local field enhancement, exposure dosimetry, tissue heating and neuromodulation, capacitive lead current injection, low-impedance pathways between electrode contacts, and insulation damage; (ii) identify risk metrics and efficient prediction strategies; (iii) quantify these metrics in relevant exposure cases and (iv) identify worst case conditions. Various aspects including implant design, positioning, scar tissue formation, anisotropy, and frequency were investigated. At typical tES frequencies, local enhancement of dosimetric exposure quantities can reach up to one order of magnitude for deep brain stimulation (DBS) and stereoelectroencephalography implants (more for elongated passive implants), potentially resulting in unwanted neuromodulation that can confound results but is still 2-3 orders of magnitude lower than active DBS. Under worst-case conditions, capacitive current injection in the active implants' lead can produce local exposures of similar magnitude as the passive field enhancement, while capacitive pathways between contacts are negligible. Above 10 kHz, applied current magnitudes increase, necessitating consideration of tissue heating. Furthermore, capacitive effects become more prominent, leading to current injection that can reach DBS-like levels. Adverse effects from abandoned/damaged leads in direct electrode vicinity cannot be excluded. Safety related concerns of tES application in the presence of implants are systematically identified and explored, resulting in specific and quantitative guidance and establishing basis for safety standards. Furthermore,several methods for reducing risks are suggested while acknowledging the limitations(see Sec. 4.5).

An interval process expansion method based on standard orthogonal bases

An interval process expansion method based on standard orthogonal bases

Requirements for the Concept of the Implementation of Artificial Intelligence as a Tool for Preventing Corruption in the Public Sector

Abstract Artificial intelligence (AI) technologies have enormous potential for preventing corruption in the public sector. However, at present, the use of AI in the public sector is not regulated. Consequently, the article aims to propose concrete steps and actions for the implementation of AI technology in the public sector with a view to using this technology as a new tool to identify and prevent situations of corruption. The author conducted a study of Latvian state and local government officials in different regions and positions throughout 2023. In the article, the author analyses the research data on officials’ experiences with AI, their expectations about the effectiveness of AI in preventing corruption, as well as their basic requirements for the concept of implementation of AI. The author of the article proposes to create a basis for the legal environment for the use of AI and recommends adopting the guidelines of AI on the following basic ethical standards: the priority of human well-being; prohibition of harm at the initiative of the AI system; human control; compliance of design with law; prevention of covert manipulation of human behaviour; built-in security. In the article, the author recommends creating a special procedure for testing and further implementation of solutions of AI, bypassing redundant administrative procedures. In addition, the author recommends stimulating anti-corruption institutions and developing approaches to issues of civil liability for mistakes made by AI technology.

RainForests: A Machine Learning Approach to Calibrating NWP Precipitation Forecasts

Abstract Probabilistic forecasts derived from ensemble prediction systems (EPSs) have become the standard basis for many products and services produced by modern operational forecasting centers. However, statistical postprocessing is generally required to ensure forecasts have the desired properties expected for probability-based outputs. Precipitation, a core component of any operational forecast, is particularly challenging to calibrate due to its discontinuous nature and the extreme skew in rainfall amounts. A skillful forecasting system must maintain accuracy for low-to-moderate precipitation amounts, but preserve resolvability for high-to-extreme rainfall amounts, which, though rare, are important to forecast accurately in the interest of public safety. Existing statistical and machine learning approaches to rainfall calibration address this problem, but each has drawbacks in design, training approaches, and/or performance. We describe RainForests, a machine learning approach for calibrating ensemble rainfall forecasts using gradient-boosted decision trees. The model is based on the ecPoint system recently developed at ECMWF by Hewson and Pillosu, but uses machine learning models in place of the semisubjective decision trees of ecPoint, along with some other improvements to the model structure. We evaluate RainForests on the Australian domain against some simple benchmarks and show that it outperforms standard calibration approaches both in overall skill and in accurately forecasting high rainfall conditions, while being computationally efficient enough to be used in an operational forecasting system. Significance Statement Weather forecasting typically uses physical models to simulate the atmosphere and produce a set of scenarios, called an ensemble, for each forecast time. Forecast calibration is a set of statistical techniques for using these ensemble forecasts to obtain probability forecasts of weather variables. For example, on a given day, we may predict that there are a 90% chance of at least 1 mm of rain and a 50% chance of at least 3 mm. We introduce RainForests, a new machine learning method for calibrating ensemble forecasts, which uses ensemble forecasts of rainfall and other related variables to produce more accurate probability forecasts of rainfall amounts in operational forecasting settings.

Fermented By-Products of Banana Wine Production Improve Slaughter Performance, Meat Quality, and Flavor Fingerprint of Domestic Chicken.

This study aimed to compare the effects of incorporating fermented feed into daily diets on the slaughter performance, meat quality, and flavor compounds of 120 domestic chickens over a 140-day period. A total of five groups (n = 24), including the control group (CK) of the Guangxi Partridge chickens received a standard base diet. The other four groups were provided with pellets that had been added with 10% fermented banana peel (Pe-10), 20% fermented banana peel (Pe-20), 10% fermented banana pulp residue (Pu-10), and 20% fermented banana pulp residue (Pu-20). The flavor compounds in the meat samples of the chickens in these groups were determined using the gas chromatographic method. The results demonstrated that the chickens in the Pe-10, Pe-20, Pu-10, and Pu-20 groups exhibited pectoral muscle percentages, thigh muscle percentages, and total fatty acid content of chest meat that were higher than those observed in the CK group. The moisture content, meat color, carcass weight, total net weight, and abdominal fat percentage of the meat samples in these experimental groups exhibited no notable differences. The flavor compounds in the meat samples of the chickens fed with the two concentrations of fermented banana peel and banana residue were found to be significantly different from those in the control group, with p-values less than 0.05. As the quantity of fermented banana peel incorporated into the daily ration was increased from 10% to 20%, a notable alteration in the flavor compounds present in the chicken samples was observed. The chickens that were provided with fermented banana peels and pulps in their diets exhibited superior slaughter performance and meat quality, particularly in the case of the Pu-10 group, in comparison to the control chickens.

Formation of the structure of choreographic competencies among university students: Specifics of the competency-based approach

Introduction. The article discusses the features of higher choreographic education at the present stage of development. The authors analyze the specifics of training of choreography students based on the documentary flow of educational publications in the electronic information and educational environment. The competencies in the field of training «Choreographic Art» are considered on the basis of the federal state educational standard of higher education in Russia. The relevance of transforming the competency-based model of university graduates is emphasized, taking into account current standards in the field of training personnel in the field of culture and the arts.Purpose setting. The purpose of the article is to reveal the essence of terminological interpretations of the conceptual apparatus in the field of the competency model of skills in the choreography by studying the documentary flow of educational publications.Methodology and methods of the study. Based on specially prepared, proprietary methodology for studying the documentary flow of educational publications and the application of the content method, we identified the essence and dynamics of the manifestation of the documentary flow of educational publications.Results. The article discusses the features of higher choreographic education at the present stage of development. The authors analyze the specifics of training choreography students based on the documentary flow of educational publications in the electronic information and educational environment. The competencies in the field of training «Choreographic Art» are considered on the basis of the federal state educational standard of higher education in the Russian Federation.Conclusion. A solution to the problem of low efficiency of using new knowledge in the concert-making component is proposed by studying the documentary flow of educational publications in the field of culture and the arts, supporting their competency-based development model.

SUBSTANTIATION OF THE PROFESSIONAL STANDARD OF "PERSONAL FITNESS TRAINER" IN UKRAINE

Professional staff is needed for the effective functioning of health fitness. There are no professional standards for fitness staff in Ukraine, so there is no single standardized approach to determining the list of job functions, general and special competencies, the required knowledge, skills and practical abilities. The purpose of the study is to substantiate and develop a professional standard of "Personal Fitness Trainer" taking into account international experience. Methods: analysis and generalization of scientific and methodical literature, pedagogical observation, functional analysis, documentary method, method of expert evaluations, methods of mathematical statistics. Results. The development of a professional standard for "Personal Fitness Trainer" was based on regulatory acts and the algorithm formed for the health fitness system. There have been identified 60 necessary labor actions which ensure the performance of 9 labor functions of a fitness trainer. The professional standard takes into account the needs of employers, consumer requirements and will be the basis for the industry standard of higher education in the relevant specialty. Conclusions. The developed professional standard for "Personal fitness trainer" is relevant, complies with regulatory acts and established algorithm, adapted to the system of fitness. The expediency of developing a professional standard "Personal fitness trainer" was based on the study of the actual state and prospects of application of fitness staff. The professional standard provides requirements for the content and quality of professional activity; list of general competencies; requirements for the level of qualification, medical contraindications to work, work experience, level of education of a fitness trainer; a list of labor functions and labor actions and the necessary knowledge, skills and abilities; list of subjects and means of work and definition of professional competencies, etc. The professional standard "Personal fitness trainer" should be the basis for the industry standard of higher education in the relevant specialty.

Sheet-on-sheet fixed target data collection devices for serial crystallography at synchrotron and XFEL sources

Serial crystallography (SX) efficiently distributes over many crystals the radiation dose absorbed during diffraction data acquisition, enabling structure determination of samples at ambient temperature. SX relies on the rapid and reliable replacement of X-ray-exposed crystals with fresh crystals at a rate commensurate with the data acquisition rate. `Solid supports', also known as `fixed targets' or `chips', offer one approach. These are microscopically thin solid panes into or onto which crystals are deposited to be individually interrogated by an X-ray beam. Solid supports are generally patterned using photolithography methods to produce a regular array of features that trap single crystals. A simpler and less expensive alternative is to merely sandwich the microcrystals between two unpatterned X-ray-transparent polymer sheets. Known as sheet-on-sheet (SOS) chips, these offer significantly more versatility. SOS chips place no constraint on the size or size distribution of the microcrystals or their growth conditions. Crystals ranging from true nanocrystals up to microcrystals can be investigated, as can crystals grown in media ranging from low viscosity (aqueous solution) up to high viscosity (such as lipidic cubic phase). Here, we describe our two SOS devices. The first is a compact and lightweight version designed specifically for synchrotron use. It incorporates a standard SPINE-type magnetic base for mounting on a conventional macromolecular crystallography goniometer. The second and larger chip is intended for both X-ray free-electron laser and synchrotron use and is fully compatible with the fast-scanning XY-raster stages developed for data collection with patterned chips.

Development of a Versatile and Reversible Multi-Stack Solid Oxide Cell System towards Operation Strategies Optimization

Abstract In context of Temperature Electrolysis based on Solid Oxide Cell technology, CEA LITEN has developed a new investigation tool (MURPHY) devoted to the operation of several Solid Oxide stacks. MURPHY enables stack operation in both the electrolysis (SOE) and the fuel cell (SOFC) modes. For the later, H2, CH4, and natural gas can be used as fuel. A compact Balance of Plant (BOP) is designed to (i) provide air by centrifugal blower, (ii) target high thermal integration and performances, (iii) preheat inlet gases, (iv) recycle fuel exhaust, and (v) control pressure levels. Instrumentation was defined to support modeling development and accurate process efficiencies characterization. 
MURPHY is currently compatible with four stacks of CEA standard base design (25 cells, of 100 cm² active area), the corresponding maximum power range of the module is -16/4 kWDC for supply and venting of gases produced.
This report details system architecture. It also puts forward experimental results related in an environment controlled by thermal phenomena. Performance and efficiency curves obtained under parametric variations of temperature and flowrates are reported for both SOE and SOFC-H2 modes. A special attention is given to heat performance. In this view, flow parameters at several locations over circuitries are provide

Plasma Volume Shifts and Acid–Base Balance After a Single Bout of Resistance Training

Abstract Purpose Changes in plasma volume (PV), acid–base status and ventilation have rarely been investigated in relation to resistance training (RT). This study aimed to investigate the effect of a single set of exhaustive leg press exercise on these basic physiological parameters in an integrated manner. Methods Twenty-seven male individuals (27.1 ± 4.1 years, 1.82 ± 0.62 m, 84.4 ± 12.5 kg, BMI: 25.4 ± 3.0 k/gm2) performed a single set leg press exercise during which hemoglobin concentration ([Hb]), hematocrit (Hct), pH, oxygen (pO2) and carbon dioxide partial pressures (pCO2), hydrogen carbonate concentration ([HCO3−]), standard base excess (SBE) and lactate concentration ([La−]) were determined. Total buffer capacity was calculated based on pH, [HCO3−] and pCO2. Results Mean PV decreased by 559 ± 230 mL (13.7%). As a result, arterial oxygen content was significantly increased due to hemoconcentration (P < 0.001). At exhaustion, pH (7.30 ± 0.06), [HCO3−] (18.6 ± 2.0 mmol/L) and SBE (− 6.6 ± 2.4 mmol/L) were all significantly decreased (P < 0.0001). The pCO2 first remained unchanged (39.4 ± 4.3 mm Hg) but demonstrated a significant decrease one-minute post-exercise (34.4 ± 4.2 mmHg), indicating metabolic acidosis with respiratory compensation, which was maintained until t+15. Non-bicarbonate buffering remained constant during recovery while the respiratory component steadily increased until 15-min post-exercise (50.2 mmol/L per pH). Conclusion PV shifts following a single set of leg press exercise improve post-exercise arterial oxygen content. The moderate metabolic acidosis was not compensated during exercise because of restricted breathing but partly compensated during the following 15-min recovery period. The respiratory compensation as part of the bicarbonate buffering made up 50% of total buffer capacity in the course of recovery.

Perspectives on Anesthesia and Perioperative Patient Safety: Past, Present, and Future.

During the past 70 years, patient safety science has evolved through four organizational frameworks known as Safety-0, Safety -1, Safety-2, and Safety-3. Their evolution reflects the realization over time that blaming people, chasing errors, fixing one-offs, and regulation would not create the desired patient safety. In Safety-0, the oldest framework, harm events arise from clinician failure; event prevention relies on better staffing, education, and basic standards. In Safety-1, used by hospitals, harm events arise from individual and/or system failures. Safety is improved through analytics, workplace culture, high reliability principles, technology, and quality improvement. Safety-2 emphasizes clinicians' adaptability to prevent harm events in an everchanging environment, using resilience engineering principles. Safety-3, used by aviation, adds system design and control elements to Safety-1 and Safety-2, deploying human factors, design-thinking, and operational control or feedback to prevent and respond to harm events. Safety-3 represents a potential way for anesthesia and perioperative care to become safer.

СОРЕ-30A: краткая версия методики изучения копинг-стратегий для подростков 12-18 лет

<p>In world practice, many tools for measuring coping strategies have been developed. The COPE questionnaire by C. Carver, M. Scheier and J. Weintraub is the instrument most consistent with the theoretical model and basic psychometric standards. It is concise but gives the possibility to identify the diversity and breadth of the repertoire of coping strategies and coping styles. The article provides a Russian-language adaptation of its short version COPE-30 for adolescents, which allows identifing 15 coping strategies and 4 coping styles. In a sample of adolescents from different regions of the Russian Federation (N=1718; age from 12 to 18 years; mean age 14±1 years; 53,8% female), the COPE-30A questionnaire showed good internal consistency: Cronbach’s alpha for scales 0,55-0,86; RMSEA=0,04; CFI=0,95; IFI=0,95; SRMR=0,035. Its validity is confirmed by the expected correlations with the scales of the “Multidimensional Students’ Life Satisfaction Scale” and “Multidimensional School Engagement Scale” questionnaires. The new COPE-30A questionnaire can be used to conduct large-scale, longitudinal studies, studies of adolescents of different, including vulnerable, groups, as well as individual studies to build subsequent practice of psychological assistance.</p>

Research on automated verification method for temperature-related tests of electrical energy meters

Abstract Program of pattern evaluation of fixed electrical energy meters-alternating current and GB/T 17215 series of national standards for the examination of energy meter performance by the impact of temperature change, set up a variety of temperature-related test items. Systematic research is possible to conclude that temperature-related tests can be divided into two categories according to the test procedure: Hold at test temperature for a certain period of time, return to the reference temperature and then measure the relevant parameters; measurement of the relevant parameters immediately after a certain period of time at the test temperature. Relevant parameters include errors at different load points and daily timing error of the internal clock of the energy meter. Data processing is undertaken after the test mainly consists of deriving error shift and mean temperature coefficient. This automated calibration method allows you to freely set the test temperature, test duration, reference temperature, stabilization duration, detection parameters, test points and data processing according to the test requirements. The paper explains in detail the application of the automated calibration method to realize typical temperature dependence, test of time-keeping accuracy of the energy meter with temperature and climatic tests (high temperature test, low temperature test and durability test of accuracy) The method breaks the shackles of the traditional calibration method of fixed test temperature, fixed test points and fixed test duration. It can adapt to the development needs of different levels of pattern evaluation of energy meter and national standards, for the laboratory to realize automated testing to provide the basis for industry standards and product testing commissioned inspection.

MCEND: an open-source program for quantum electron-nuclear dynamics

The software MCEND (Multi-Configuration Electron-Nuclear Dynamics) is a free open-source program package which simulates the quantum dynamics of electron-nuclei simultaneously for diatomic molecules. Its formulation, implementation, and usage are described in detail. MCEND uses a grid-based basis representation for the nuclei, and the electronic basis is derived from standard electronic structure basis sets on the nuclear grid. The wave function is represented as a sum over products of electronic and nuclear wave functions, thus capturing correlation effects between electrons, nuclei, and electrons and nuclei. The LiH molecule was used as an example for simulating the molecular properties such as the dipole moment and absorption spectrum. Program summaryProgram Title: MCEND, v.2.6.0CPC Library link to program files:https://doi.org/10.17632/tkb9dwf85t.1Developer's repository link:https://github.com/MCEND-hub/MCEND (https://github.com/MCEND-hub/MCEND-library and https://github.com/MCEND-hub/MCEND-tools are git submodules of MCEND)Licensing provisions: MITProgramming language: Fortran 90 and Python 3External routines/libraries: FFTW, OpenMP, BLAS, LAPACK, PSI4, Matplotlib, mendeleev, NumPy, Pandas, SciPy, PyTablesNature of problem: MCEND is to simulate the quantum dynamics of electrons and nuclei simultaneously at multiconfiguration levels.Solution method: The presented program package solves the time-dependent Schrödinger equation with the wave function represented as sum over configuration products using an 8th-order adaptive step size Runge-Kutta ordinary differential equation (ODE) solver. The software can be extended by supplementing modules on the existing infrastructure.

Commercial stocks and fisheries for invertebrates in the upper sublitoral of the Murman Coast

This paper provides data concerning the stocks of green sea urchin, blue mussel and Icelandic scallop. The data was obtained from comprehensive diving surveys in the early 2000s. The paper analyses the catches of invertebrates that were taken in commercial and recreational dive fisheries for the period from 2017 to 2023. This paper states that, for sustainable management and exploitation of these commercially valuable invertebrates in the future, it is obviously required to conduct a comprehensive survey for their stocks in the sublittoral zone of Murman. The future results from this survey are intended to serve as a basis for standards (quotas) that should be established for the fisheries for these species in local areas.

Analysis on the application of FMEA in 'instrument and equipment surface cleaning and disinfection' in hospitals based on standardization and cleaning and disinfection information system management.

To analyze the application of 'instrument and equipment surface cleaning and disinfection' in hospitals based on standardization and the management of cleaning and disinfection information systems. Employees and all cleaning and disinfected instruments and equipment from 56 inpatient departments in our hospital were selected as the subjects of observation. The period before the intervention (January 2023) was designated as the control group, while the period after the intervention (July 2023) was designated as the study group. In the control group, the instruments and equipment under routine management were disinfected. The research team applied the Failure Mode and Effects Analysis (FMEA) method to clean and disinfect the surfaces of instruments and equipment on the basis of standardization and cleaning and disinfection information system management. Employees' theoretical knowledge points and operational skill scores before and after the intervention were compared and evaluated. The changes in the risk priority coefficient (RPN) values of high-risk factors were analyzed. Fifty-six clinical medical staff from 56 inpatient departments in the hospital were selected to evaluate the clinical satisfaction of the cleaning and disinfection management of instruments and equipment before and after the intervention, and the clinical satisfaction of the two groups was compared. The scores of theoretical knowledge and operational skills of the staff in the research group were significantly higher than those in the control group. The passing rates of theoretical knowledge and operational skills in the control group and the research group were 44.64 and 94.64% respectively, and 55.36 and 96.43%, respectively. The qualified rate of theoretical knowledge and operational skills of staff in the study group was significantly higher than that in the control group (p < 0.05). The RPN scores of medical personnel, environment, system and system guarantee factors in the control group were 80, 80, 80, and 100, respectively. The RPN scores of medical personnel factors, environmental factors, system factors and system guarantee factors in the research group were 6, 24, 24, and 36, respectively. Through standardization and cleaning and disinfection information system management, the theoretical knowledge and technical operation capabilities of cleaning can be effectively improved.

Shear failure characteristics and stress-strain relationship of Moso bamboo parallel to the fibers

Bamboo is susceptible to longitudinal splitting, which is mainly driven by its shear properties parallel to the fibers. In this work, bowtie tests including 124 Moso bamboo internode and node specimens were conducted to investigate the shear behaviors of Moso bamboo in shear parallel to the fibers. Based on the test results, the difference in shear strength between internode and node specimens using the analysis of variance (ANOVA) was quantitatively evaluated. The distribution of shear strength was fitted using Normal, Log-normal, and Weibull distributions, and the corresponding standard value was calculated using the non-parametric method. The design value was obtained based on reliability analysis. Additionally, prediction formulas for shear strength were fitted using univariate and multiple regression analyses based on outer diameter, wall thickness, and density. Various shear stress-strain constitutive models were established and validated. The research results indicated that there is no statistically significant difference in shear strength between internode and node specimens with the value of 17.17 MPa and 17.48 MPa, respectively. The distribution of shear strength followed the Normal and Log-normal distributions, but not the Weibull distribution. The standard value and design value of shear strength were 14.91 and 9.47 MPa, respectively. The shear strength was found to be negatively correlated with the outer diameter and wall thickness, but positively correlated with the density. The recommended strength prediction formulas and stress-strain constitutive models match well with the test results. This study can serve as a reference for the improvement of bamboo standard and design basis of Moso bamboo.