Analysis Procedure Research Articles

Extended constant life diagrams for low cycle fatigue and creep-fatigue assessments of high-temperature structures

Over the decades, the constant life diagram has become an important tool for engineering design and assessment. For specific materials, the effect of mean stress and stress amplitude on the fatigue life is considered in traditional constant life diagrams. In this study, the concept of the structural constant creep-fatigue life diagram is proposed for engineering structures subjected to cyclic loads in high-temperature environments. By integrating constant fatigue and creep-fatigue life curves into the traditional Bree diagram, we offer an efficient and reliable approach that enables quick determination of structural life and corresponding failure mechanisms. To provide a one-stop solution for the evaluation of constant fatigue/creep-fatigue life curves, an extended Unified Procedure for Fatigue and Ratchet Analysis (eUPFRA) has been proposed based on the Linear Matching Method (LMM) framework. Case studies on engineering components have also been performed with consideration of the cyclic hardening effect, temperature-dependent material properties and various damage models. The impact of the target life and creep dwell time is further investigated, as well as the creep-fatigue interaction mechanism. Verification against ABAQUS step-by-step inelastic analysis has finally been conducted, confirming the precision and efficiency of the eUPFRA.

Роль и значение экономического анализа в системе инструментариев таможенного аудита

The relevance of the research topic is due to the need to improve analytical support and decision support systems in the field of customs control through the development of a customs audit system. The problem is the absence today of separate analytical tools for assessing the activities of enterprises participating in foreign trade activities for violations of customs legislation in the field of customs payments. The purpose of the study is to identify the features and directions of development of customs audit, including through the optimization of analytical procedures in relation to monitoring the correctness of payment of customs duties by business entities. Research methods: monographic, tabular. Results and key conclusions: the relevance of the development of customs audit based on the symbiosis of audit and revision has been proven, with justification for the role and significance of economic analysis in the system of its tools. The object of the study is the theoretical and practical aspects of conducting audits and audits in relation to participants in foreign trade activities, the subject is the process of conducting analytical procedures in relation to enterprises participating in foreign trade activities. The theoretical and methodological significance lies in the fact that the essence of the economic analysis of customs payments in various territorial segments is revealed, allowing the use of its tools when conducting a customs audit. The results of the work have practical significance for decision-making by the management of customs authorities to manage the customs audit process as part of control after the release of goods.

The impact of generative AI on higher education learning and teaching: A study of educators’ perspectives

In recent months, Artificial Intelligence (AI) has had, and will continue to have, a dramatic impact on Higher Education (HE). A study conducted by researchers at a leading university in Australia surveyed 30 of their teaching staff, drawn predominantly from their teaching academy, and interviewed eight of them regarding the impact of AI on HE. Data were analyzed using the procedures of Inductive Thematic Analysis and revealed a lack of any homogenous sentiment around AI in HE and much ambiguity regarding best practice regarding recent technological developments. The results indicate concerns exist around concepts relating to academic integrity, however, these concerns may be exaggerated. Almost half of the participants indicated they were using AI within their teaching roles with the most common design change being modifications to assessments. Less than a quarter of staff agreed the university has adequately equipped them for AI, and more than three quarters indicated they would like support. They unanimously assumed the technology will improve. Keeping in mind universities’ obligation to serve students by preparing them for industry, it is vitally important that the HE sector stays informed of developments in AI and commit to ongoing research and discussions regarding best practice in response to AI. However, anything regarding AI and future developments will be extremely difficult to predict.

Извлечение научно-технических фактов из отраслевых документов на основе методов семантико-синтаксического и концептуального анализа

<p>Extraction of scientific and technical facts is a difficult task in terms of correctness of the obtained information. The proposed fact extraction model is based on clear ideas about the semantic structure of the text, expressed as a hierarchy of syntactic constructions of meaning units, which allows identifying interphrase relations in contacted sentences. Individual words, word combinations inherent to a particular subject area and forming its conceptual composition are used as meaning units. The procedures of phraseological, conceptual and semantic-syntactic analysis of texts are used to process the source text.</p>

Sensemaking Process of Parents of Children with Autism Spectrum Disorder: Identification of Specific Clusters of “Sense of Grip”

AbstractAutism spectrum disorder (ASD) represents a pervasive neurodevelopmental disorder characterized by persistent atypicalities in social communication and social interactions across different domains of life, often with restricted, repetitive, stereotyped patterns of behaviors, interests, and activities. A large corpus of previous research shows that parental involvement in caregiving is perceived as stressful and challenging, in many cases resulting in poorer parental quality of life. The authors present a quali-quantitative mixed method research on sensemaking process of 34 parents (16 mothers and 18 fathers) of children with ASD. The interviews were collected and analyzed according to the “Sense of Grip” (SoG) methodology. SoG indeed refers to the sensemaking processes that a person realizes to manage the relationship with diseases or disorders by organizing several degrees of flexibility, differentiation, and adaptation to the variability of experiences and contexts of life. This construct of health psychology—semiotically and clinically oriented—is based on specific narrative functions (i.e., temporal, integrative, emotional, sharing, and agentive functions). The cluster analysis procedure allowed to identify three different SoG profiles: (a) enterprising (parents who are able to construct flexible and dynamic familiar routines), (b) opposing (parents who experience the ASD disorder as a deep unacceptable crisis, hindering the rest of familiar and professional activities), and (c) condescending (parents who organize family life completely on adherence to medical prescriptions and care protocols). These profiles show interesting implications for clinical practice and support as showing specific aspects of treating, managing, and sharing children conditions within family and relational contexts of life.

Complete characterization of ocean color radiometers

Verifying and validating waterleaving radiance measurements from space for an accurate derivation of Ocean/Water Colour biogeophysical products is based on concurrent high-quality fiducial reference measurements (FRM) carried out on the ground or water body. The FRM principles established by the Committee on Earth Observation Satellites (CEOS) recommend that in situ Ocean Colour radiometers (OCR) have a documented history of SI traceable calibrations including uncertainty budgets. Furthermore, there can be significant differences between calibration and use of the instruments in the field due to differences in operating temperature, angular variation of the light field (especially for irradiance sensors), the intensity of the measured radiation, and spectral variation of the target, among others. Each of these factors may interact with individual properties of the instrument when deployed in the field, and estimation of such uncertainties requires instrument characterization in addition to the absolute radiometric calibration if expanded uncertainties within ±10% (k = 2) are the aim. The FRM4SOC Phase 2 project - funded by the European Commission in the frame of the Copernicus Programme and implemented by EUMETSAT - contributes to these efforts, aiming at developing an operational and sustained network of radiometric measurements of FRM quality. Within FRM4SOC-2, scientists from the Tartu Observatory (TO) of the University of Tartu performed an unprecedented batch of calibrations and characterizations on a set of 37 hyperspectral field radiometers representative of the most used OCR classes within the OC community. The calibrations and characterizations performed include the determination of radiometric responsivity, long-term stability, the accuracy of the spectral scale, non-linearity and accuracy of integration times, spectral stray light, angular response of irradiance sensors in air, dark signal, thermal sensitivity, polarization sensitivity, and signal-to-noise ratio of individual OCRs. Consistent correction of biases and extended uncertainty analysis procedures of in situ data obtained from different instruments and measurement models need to be clearly defined, which is the objective of this paper.

Analysis of Spatial Curved Bi-Fixed Beam with Varying Curvature and Varying Cross-Sectional Area Using Finite Displacement Transfer Method

This article is focused on determination of fixed-end reactions, displacements, internal forces and internal moments for the spatial curved bi-fixed beam with varying curvature and varying cross-sectional area. The objective is to analyze spatially curved beam without involving analytical differentiation and integration of the governing equations. A finite displacement transfer method to analyze spatially curved beam is used to obtain numerically approximate analysis results and to eliminate analytical differentiation and integration, completely. The results of the analysis procedure are compared with the results of other methods found in the literature. For the specific case of the circular helical beam, the fixed end reactions' values have absolute maximum and minimum percentage differences of 1.23% and 0.06%, respectively. For the specific case of the elliptic-helical beam, the fixed end reactions' values have absolute maximum and minimum percentage differences of 1.13% and 0.0%, respectively. The finite difference method, along with the recursive scheme, gives reasonably accurate results without involving complex calculations

Analysis of University Students' Perspectives on Physical Activity and Mandatory Physical Education

The decline in physical activity levels during the transition from high school to college is evident, despite the known impact of youth and adolescent physical activity on later life. Observable trends reveal a decline in enthusiasm for sports activities and a notable decrease in motivation for engaging in physical activity. The college environment plays a pivotal role in shaping students' engagement with physical activity, presenting an opportunity to significantly enhance their quality of life. This study's primary objective is to analyse university students' attitudes toward physical activity and assess their satisfaction with compulsory physical education at Masaryk University, comparing results spanning nearly two decades. In adherence to contemporary research methodologies, a questionnaire survey combining standard quantitative and qualitative analysis procedures was conducted. The survey questions focused on examining various facets of physical activity, including volume, intensity, sports preferences, and attitudes toward mandatory physical education at Masaryk University in Brno. A total of 1,293 respondents (422 men and 871 women) with an average age of 20.7 years participated in the study. The findings underscore a notable inclination among almost 73% of students to welcome an extension of compulsory physical education to 2 or more semesters (currently set at 2 semesters at MU). Moreover, over 75% of students express contentment with the spectrum of mandatory sports activities offered in physical education. The study reveals a growing interest among students in individual physical activities and a burgeoning enthusiasm for unorganized sports. These outcomes furnish valuable insights into students' perceptions regarding the organization of physical and sports education activities within university settings.

Paper-based 2D configuration for the electrochemical and facile detection of paracetamol in wastewaters

Since 2020, human pharmaceuticals were included in the list of emerging contaminants from the UNESCO and their detection and elimination were incorporated in the 2030 Agenda for Sustainable Development Goal Targets. Among these, analgesic and antipyretic drugs are the most widely used drugs worldwide and, despite their advantages, unused or expired pharmaceuticals are a potential source of water pollution. Paracetamol is one of the most common drugs used for analgesic and antipyretic purposes and has been found to have a much higher concentration in water streams in many European countries. Considering that, an all-in-one paper-based 2 dimensional (2D) fluidic configuration, able to detect paracetamol, was developed in order to deal with environmental matrices without complex/expensive analytical procedures. An ad-hoc paper-based testing area, coupled with a channel was designed and wax-printed onto a porous filter paper. Successively three electrodes were screen-printed, and the whole system was applied for the detection of paracetamol in wastewaters (prior and after the filtration system) without pretreating the sample. In order to detect paracetamol with the easiest approach, the configuration of the paper-based device was optimized in terms of type of substrate used for printing, microfluidic paper strip length/width and combination of them in an integrated architecture, capable to detect paracetamol in the matrices tested in few seconds with a detection limit down to micromolar range, ca. 1 μM. The integrated device shown great promise for simple, fast, sensitive, and sustainable detection of paracetamol in its role of emerging contaminant, especially in the environmental matrices.

Handling Measurement Error and Omitted Confounders Considering Informativeness of the Confounding Effect under Mediation Modeling

In the article, we focused on the issues of measurement error and omitted confounders while conducting mediation analysis under experimental studies. Depending on informativeness of the confounders between the mediator (M) and outcome (Y), we described two approaches. When researchers are confident that primary confounders are included (e.g., based on theory, literature), mediation effects can be estimated using Bayesian estimation with informative priors for the correlation of residuals between latent M and Y (ρ). Simulation study results showed that mediation analysis without accounting for secondary confounders yielded inaccurate inferences about mediation effects. Without prior knowledge about the primary confounders between M and Y, we suggest using sensitivity analysis to probe robustness of mediation analysis results. ρ was used as the sensitivity parameter and an R shiny app was developed to conduct sensitivity analysis: https://qwang17.shinyapps.io/sensitivity/. Both unidimensional and multidimensional models are allowed under our developed R shiny app to conduct sensitivity analysis. Two real data examples were used for illustrating the procedure of sensitivity analysis. We ended the article by making recommendations and entertaining future directions in mediation analysis.

Recent Advancement in the Fabrication of Colorimetric and Fluorometric Sensors for the Detection of Basic Amino Acids

Abstract:: Due to the biological importance of amino acids, the development of optical probes for these compounds has become a popular research topic in recent years. The amino acid fluorescence or colorimetric sensors are organized according to the reactions the amino acids go through and the related structural classification. Works on reaction-based chemosensors are categorized as either imine formation, Michael addition, thiazinane or thiazolidine formation, cleavage of a sulfonate ester, cleavage of a disulfide, metal complexes-displace coordination, or other mechanisms depending on the mechanisms between sensors and amino acids. Amino acids (AA), which comprise most proteins, are small molecules with a wide range of functional side-chain groups. Amino acids, therefore, have a variety of roles in physiological processes. Histidine (His), a member of this family, is required for tissue growth and repair as well as for weight gain. Lysine (Lys), another member of this family, is intimately linked to the Krebs-Henseleit cycle and polyamine synthesis, and an adequate amount of lysine in the diet is necessary for animals' metabolic processes and weight gain. Because it controls the transfer of metal elements in biological bases, tryptophan (Trp) is crucial to biological processes like protein synthesis, animal growth, and plant development. The majority of proteins are composed of amino acids (AA), which are tiny molecules with a variety of functional side chain groups. As a result, amino acids play a number of different roles in physiological processes. This family member's histidine (His) is necessary for weight gain, tissue growth, and repair. Another member of this family, lysine (Lys), is crucial for the Krebs-Henseleit cycle and polyamine production, and animals' metabolic activities and weight gain depend on appropriate lysine intake. Tryptophan (Trp) is an essential component of biological processes like protein synthesis, animal growth, and plant development because it regulates the transfer of metal elements in biological bases. Numerous attempts have been made to create new procedures for amino acid analysis as a result of the rising focus on human health, disease diagnosis, and therapy. Currently, spectroscopic, chromatographic, or electrochemical analytical methods are most frequently employed to identify and characterize amino acids. However, each method has certain disadvantages, such as the need for equipment and trained personnel, operational simplicity, analytical cost, test speed, and detection. Based on the important distinguishing characteristics of various amino acids to date, much research has been done on optical probes using indicator-displacement tests, metal complex coordination, particular interactions between probes and amino acids, and other techniques. We further subdivided the reaction-based probes into the following groups: production of imines, Michael addition, thiazinane or thiazolidine, cleavage of sulfonate ester, cleavage of disulfide, and others. Metal complexes-displace coordination. Due to some amino acids' similarity in structure and reactivity, it is still challenging to develop sensors that can selectively and sensitively identify amino acids from one another, such as the three biological thiols Cys, Hcy, and GSH. Specific reactions between probes and amino acids and other techniques have been extensively researched based on the significant characteristic features of diverse amino acids to date. We further divided the reaction-based probes into the following categories: metal complexes-displace coordination, imine creation, Michael addition, thiazinane or thiazolidine formation, cleavage of a sulfonate ester, cleavage of a disulfide; and others.

Framework to Quantify Uncertainty in Microplastic Concentrations in Wastewaters and Sludges Incorporating Analytical Recovery Information into Data Analysis.

Wastewater treatment plants (WWTPs) serve a pivotal role in transferring microplastics (MPs) from wastewater to sludge streams, thereby exerting a significant influence on their release into the environment and establishing wastewater and biosolids as vectors for MP transport and delivery. Hence, an accurate understanding of the fate and transport of MPs in WWTPs is vital. Enumeration is commonly used to estimate concentrations of MPs in performance evaluations of treatment processes, and risk assessment also typically involves MP enumeration. However, achieving high accuracy in concentration estimates is challenging due to inherent uncertainty in the analytical workflow to collect and process samples and count MPs. Here, sources of random error in MP enumeration in wastewater and other matrices were investigated using a modeling approach that addresses the sources of error associated with each step of the analysis. In particular, losses are reflected in data analysis rather than merely being measured as a validation step for MP extraction methods. A model for addressing uncertainty in the enumeration of microorganisms in water was adapted to include key assumptions relevant to the enumeration of MPs in wastewater. Critically, analytical recovery, the capacity to successfully enumerate particles considering losses and counting error, may be variable among MPs due to differences in size, shape, and type (differential analytical recovery) in addition to random variability between samples (nonconstant analytical recovery). Accordingly, differential analytical recovery among the categories of MPs was added to the existing model. This model was illustratively applied to estimate MP concentrations from simulated data and quantify uncertainty in the resulting estimates. Increasing the number of replicates, counting categories of MPs separately, and accounting for both differential and nonconstant analytical recovery improved the accuracy of MP enumeration. This work contributes to developing guidelines for analytical procedures quantifying MPs in diverse types of samples and provides a framework for enhanced interpretation of enumeration data, thereby facilitating the collection of more accurate and reliable MP data in environmental studies.

Enhancing crashworthiness characteristics of modified hexagonal honeycomb structural panels through stretching and bending of ribs

The effects of stretching and bending of concave, convex, and horizontal ribs on the energy absorption characteristics of modified hexagonal honeycomb structural panels are investigated under in-plane quasi-static compression loading conditions. In this regard, five hierarchical modified structural panel configurations were fabricated using polylactic acid material (PLA) via a fused filament 3D printer, ensuring uniform wall thickness in the 1.5–2 mm range. The panels included the regular hexagonal panel (RHP), regular hexagonal panel with concave rib (RHCP), regular hexagonal panel with convex rib (RHXP), regular hexagonal panel with concave and horizontal ribs (RHCRP), and regular hexagonal panel with convex and horizontal ribs (RHXRP). In-plane quasi-static compressive loading tests were conducted to analyze crush resistance characteristics, and buckling modes of the modified honeycomb panels were examined through experimental and finite element analysis procedures. The result indicates that the specific energy absorption capacity (SEA) of RHXRP is increasing significantly compared to the SEA capacity of other categories of the structures. The changes in failure modes and increased crush energy absorption characteristics of modified RHP with the introduction of concave, convex, and horizontal ribs are elaborated.

Phoenix–A model-based human reliability analysis methodology: Data sources and quantitative analysis procedure

Human Reliability Analysis (HRA) has continuously evolved to adopt more advanced human error probability (HEP) quantification approaches. Despite several efforts and enhancements of HRA methods, many still present limitations. Phoenix HRA Methodology aims to overcome known issues by incorporating strong elements of current HRA good practices, leveraging lessons learned from empirical studies and existing and emerging HRA methods' features. Phoenix models performance influencing factors (PIFs) and their impact on failure modes through Bayesian Networks (BBNs). Despite increased use in HRA applications, the large amount of data BBNs may require is still challenging. Thus, to populate Phoenix BBNs, several data sources were combined, including other HRA methods, expert judgment, and operating experience. The paper discusses Phoenix's quantitative analysis process, the data sources used to estimate the BBN parameters, and the applied data aggregation method. It further provides the quantitative analysis procedure guide with the significant steps and sub-steps an HRA analyst requires to implement this Phoenix methodology phase. Furthermore, the method for mapping the data to Phoenix BBN parameters and for aggregating the data considering non-homogeneous data sources can be further used for other HRA methods that apply BBNs or other applications.

Nonlinear hardening/softening dynamic analysis and its application to cables: A geometrical framework

Competing mechanisms like quadratic/cubic nonlinearities associated with continuous structures lead to complicated dynamics, and it is meaningful to identify the dominant mechanism in a specific parameter domain. However, when the same parameter arises simultaneously in different competing mechanisms, either hardening (H) or softening (S), it implies that a certain constraint between various parameters and thus leads to difficulties for identifying its dominant dynamics with reference to physics parameters. For example, in a nonlinear cable model, its stiffness α, initial sag f, and Irvine parameter λc are all closely related to H/S behaviors, but they are not independent. A novel nonlinear hardening/softening dynamic analysis procedure is asymptotically developed by geometrically interpreting the underlying constraint between parameters as a curved surface located in an auxiliary parameter space. For cables, it consists of stiffness α, initial sag f, and Irvine parameter λc. Further, iso-λc curves on this curved constraint surface is properly defined, which represents a family of cable models with the same Irvine parameter and turn out to be useful for the proposed hardening/softening analysis. Though currently developed for a cable model, the framework can be meaningfully extended to other nonlinear structures with an initial curvature like shallow arches, buckled beams, or imperfect beams, etc.

A Numerical Investigation of Seismic Load Analysis for a Concrete Gravity Dam Utilizing Abaqus Software

Current research efforts focus on ensuring the safety of extant dams against seismic loads and designing earthquake-resistant new dams. Dependable analytical procedures are essential for a safe design that can withstand the forces induced by earthquakes. In this research, the Pine Flat Dam in California, United States, was subjected to modal, static, and dynamic analyses utilizing the Abaqus software to evaluate the impact of hydrostatic forces and dynamic stresses on the dam, taking into account flexible foundations. Using the vertical component and the horizontal component Taft Lincoln School Tunnel earthquake data, dynamic linear and nonlinear performance for concrete gravity dam were conducted. The results obtained from the nonlinear analysis exhibited a noteworthy decrease in the highest primary stress at the heel of the concrete dam, dropping from 3.17 MPa to 1.31 MPa. Conversely, no variation was observed in the minimum principal stress. In addition, the dam's maximum principal stress has shifted from its base to its neck. The findings from these analyses can contribute to enhancing new dam designs and evaluating seismic safety for existing dams. This study highlights the importance of accurate analytical procedures in ensuring dam safety and provides significant observations regarding the behavior of concrete dams during earthquake loading.

Fan-out panel-level package warpage and reliability analyses considering the fabrication process

With the continuous advancement of IC packaging technology, 3D and 2.5D packaging systems have emerged as the prevailing trends. The advantages of large area and high I/O density have made fan-out panel-level packaging (FOPLP) been considered as one of the best package types for 3D and 2.5D packaging applications. The discussions about FOPLP have been popular recently. Warpage and reliability of FOPLP are the main concerns of packaging engineers. However, it was found that warpage and reliability of FOPLP are strongly related to the fabrication process but not many research works have been published. Thus, reliability analysis procedure considering the residual stress of fabrication process was proposed in this paper to observe warpage and stress distribution during fabrication process. Then, this research procedure facilitates subsequent fatigue life calculations and predicts reliability of the package.First, the thermal stresses and warpage of the redistribution layer-first (RDL-first) process were conducted for an entire panel. Next, warpage and thermal stress analyses were conducted for a strip encapsulated with an epoxy molding compound (EMC) during compression molding. Then, a reliability analysis was conducted with an IC unit and incorporated the consideration of the residual stress induced during the fabrication processes.The compression molding analysis utilized the pressure–volume–temperature–cure (P–V–T–C) model to account for both the volume shrinkage caused by a thermal mismatch and the chemical shrinkage. Furthermore, dual shift factor model was used to model the viscoelastic behavior of EMC in this study during PMC analysis effectively.An observation of the stress distribution for an IC unit revealed that the maximum stress position was at the solder ball near the periphery, with a stress value of 147.309 MPa. The fatigue life calculated using the modified Coffin–Manson fatigue model was 417 cycles.

Spectrophotometric Determination of Hydroxycinnamic Acids in Herbal Drugs. Part 2. Determination of Hydroxycinnamic Acids in the Presence of Polyphenolic Compounds (Review)

INTRODUCTION. Polyphenolic compounds of various classes have pronounced absorption bands overlapping in almost the same ultraviolet region. This superposition of bands complicates the quantification of total hydroxycinnamic acids in herbal drugs by direct spectrophotometry without additional sample preparation.AIM. This study aimed to establish the possibility of quantifying hydroxycinnamic acids in herbal drugs by spectrophotometry in the presence of other polyphenolic compounds.DISCUSSION. This review analyses publications on analytical procedures for the spectrophotometric quantification of hydroxycinnamic acids that are based on the preliminary separation or chemical modification of polyphenolic compounds (combining the use of spectrophotometry, chromatography, extraction, Arnow’s reagent, etc.). The described sample preparation can help to resolve absorption bands in the spectra of polyphenolic compounds. The results of assessing the characteristic parameters of these analytical procedures (selectivity, sensitivity, labour intensity, etc.) can serve as a basis for searching novel approaches to the quantitative determination of hydroxycinnamic acids in plants.CONCLUSIONS. To determine the content of hydroxycinnamic acids in mixtures of polyphenolic compounds, analysts may use special sample preparation (combining spectrophotometry with chromatography and extraction) or chemical modification of the initial compounds. The acquired spectra could benefit from specific mathematical processing (derivative photometry and Vierordt’s method). However, even with the abovementioned approaches, it may not always be possible to increase the selectivity of an analytical procedure. Therefore, there is a need to further improve existing analytical procedures for the quantification of hydroxycinnamic acids and develop new ones.

Spectrophotometric Determination of Hydroxycinnamic Acids in Herbal Drugs. Part 1. Direct Spectrophotometry (Review)

INTRODUCTION. Current scientific research aims to discover new plant sources of hydroxycinnamic acids for the development of novel medicinal products. Most commonly, the quantitative determination of hydroxycinnamic acids in herbal drugs involves testing procedures based on spectrophotometry and its modifications.AIM. This study aimed to establish the possibility of the quantification of hydroxycinnamic acids in herbal drugs by direct spectrophotometry.DISCUSSION. This review presents organised information on the use of direct spectrophotometry to quantify hydroxycinnamic acids in 70 plant species growing or cultivated in the Russian Federation. The review covers publications in Russian for the period from 2007 to 2023. According to the reviewed publications, direct spectrophotometry is an easy-to-use and highly reproducible method that does not require additional reagents or labour-intensive steps. Direct spectrophotometry may result in an overestimation of the hydroxycinnamic acid content due to overlapping absorption bands of polyphenolic compounds with different structures.CONCLUSIONS. Direct spectrophotometry can be considered as a method for measuring the total content of phenolic compounds (as well as hydroxycinnamic acids) in herbal drugs. Different approaches to direct spectrophotometric quantification of hydroxycinnamic acids in herbal drugs by can serve as a methodological basis for developing analytical procedures specific to the chemical compositions of biologically active compounds in herbal drugs and their extracts.

Examining incubated and nonincubated startups from fear of failure and entrepreneurial well-being during crises

PurposeThis research aimed to examine entrepreneurial fear of failure and entrepreneurial well-being from the perspectives of incubated and nonincubated startups during crises.Design/methodology/approachData were collected by distributing online questionnaires to 152 respondents comprising 43 incubated and 109 nonincubated startups in Indonesia. A multivariate discriminant analysis procedure was used to examine the interrelationships between both groups at the discovery, validation, customer creation and construction stages.FindingsThe result showed a significant difference between these startups at various stages, which was analyzed to provide insights into the relevant dimensions of fear of failure for startups. The essence of entrepreneurial well-being during crises is in accordance with the role of business incubators in an emerging market economy.Practical implicationsStartups need to innovate in order to grow while considering other factors such as work-life balance and financial resource availability. This is important to ensure they have sufficient motivating dosage of fear of failure.Originality/valueThe present study evaluates incubated and nonincubated startups in an emerging market economy by using both the entrepreneurial fear of failure and well-being to capture possible differences between groups. The context of pandemic crises helps us formulate appropriate approaches taken by incubators and startups in the future crises.