Analysis Procedure Research Articles

Archetype analysis and the PHATE algorithm as methods to describe and visualize pregnant women's levels of physical activity knowledge.

The knowledge of physical activity (PA) recommended for pregnant women and practical application of it has positive impact on the outcome. Nevertheless, it is estimated that in high-income countries over 40% of pregnant women are insufficiently physically active. One of the reasons is insufficient knowledge pregnant women have about allowed effort during pregnancy and both recommended and not recommended physical activities. Description of knowledge about physical activity the women have and distinguishing patterns of their knowledge is becoming an increasingly important issue. A common approach to handle survey data that reflect knowledge involves clustering methods or Principal Component Analysis (PCA). Nevertheless, new procedures of data analysis are still being sought. Using survey data collected by the Institute of Mother and Child Archetypal analysis has been applied to detect levels of knowledge reflected by answers given in a questionnaire and to derive patterns of knowledge contained in the data. Next, PHATE (Potential of Heat-diffusion for Affinity-based Trajectory Embedding) algorithm has been used to visualize the results and to get a deeper insight into the data structure. The results were compared with picture derived from PCA. Three archetypes representing three patterns of knowledge have been distinguished and described. The presentation of complex data in a low dimension was obtained with help of PHATE. The formations revealed by PHATE have been successfully described in terms of knowledge levels reflected by the survey. Finally, comparison of PHATE with PCA has been shown. Archetype analysis combined with PHATE provides novel opportunities in examining nonlinear structure of survey data and allows for visualization that captures complex relations in the data. PHATE has made it possible to distinguish sets of objects that have common features but were captured neither by Archetypal analysis nor PCA. Moreover, for our data, PHATE provides an image of data structure which is more detailed than interpretation of PCA.

Language assessment in persons with aphasia early after thrombolysis: the utility of multilevel procedures of discourse analysis

ABSTRACT Background Clinical guidelines recommend the administration of intravenous recombinant tissue plasminogen activator thrombolytic treatment to persons who suffered ischemic stroke within 4,5 hours since onset. However, the available evidence on the potential improvement of language after thrombolysis is still scanty. Aims This study assessed the effect of thrombolytic treatment in language recovery in persons with stroke aphasia (PWA) comparing the efficacy of traditional language assessments and a multilevel procedure of discourse analysis applied to the Cookie Theft picture descriptions taken from the National Institute of Health Stroke Scale (NIHSS). Methods and procedures Fortyeight individuals participated in the study: sixteen PWA who received thrombolysis; sixteen PWA who did not receive it; sixteen healthy controls. The two groups of PWA were balanced in terms of age, education, gender, lateralization of the lesion, and stroke severity. They were administered the NIHSS and a bedside language assessment battery when entering the neurological clinic (T0) and after approximately 72 hours (T1). Their narrative discourse descriptions were analyzed with a multilevel procedure for discourse analysis. Outcomes and results The two groups of PWA had similar linguistic difficulties at T0 as reflected by comparable Composite Verbal Scores and performance on traditional linguistic bedside assessment (Aphasia PostStroke Acute Assessment test; Furlanis et al., 2018). Discourse analysis highlighted the presence of more omissions of function words and errors of cohesion in the PWA who would receive thrombolysis with respect to healthy controls and allowed for the identification, in both groups, of difficulties that could not be detected through a traditional assessment. At T1 the analyses showed the presence of improvements likely reflecting a generalized spontaneous recovery in both groups of PWA and a more specific recovery triggered by thrombolysis concerning the production of global coherence errors in treated patients only. An inspection of the gravity of the linguistic symptoms at the individual level revealed high interindividual variability in this early phase suggesting that thrombolysis reduced the severity of the impairment also in the production of informative words. Conclusions Thrombolysis reduces the gravity of some linguistic symptoms within a few hours after treatment. Multilevel procedures of discourse analysis can identify these subtle improvements.

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.

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.

Multi-criteria decision analysis: technique for order of preference by similarity to ideal solution for selecting greener analytical method in the determination of mifepristone in environmental water samples.

This work proposes the use of multi-criteria decision analysis (MCDA) to select a more environmentally friendly analytical procedure. TOPSIS, which stands for Technique for Order of Preference by Similarity to Ideal Solution, is an example of a MCDA method that may be used to rank or select best alternative based on various criteria. Thirteen analytical procedures were used in this study as TOPSIS input choices for mifepristone determination in water samples. The input data, which consisted of these choices, was described using assessment criteria based on 12 principles of green analytical chemistry (GAC). Based on the objective mean weighting (MW), the weights for each criterion were assigned equally. The most preferred analytical method according to the ranking was solid phase extraction with micellar electrokinetic chromatography (SPE-MEKC), while solid phase extraction combined with ultra-high performance liquid chromatography tandem mass spectrometry (SPE-UHPLC-MS/MS) was ranked last. TOPSIS ranking results were also compared to the green metrics NEMI, Eco-Scale, GAPI, AGREE, and AGREEprep that were used to assess the greenness of thirteen analytical methods for mifepristone determination. The results demonstrated that only the AGREE metric tool correlated with TOPSIS; however, there was no correlation with other metric tools. The analysis results suggest that TOPSIS is a very useful tool for ranking or selecting the analytical procedure in terms of its greenness and that it can be easily integrated with other green metrics tools for method greenness assessment.

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.

Smartphone-Based Color Evaluation of Passive Samplers for Gases: A Review

The application of smartphone-based color evaluation of passive sampling devices for gases has only been sparsely reported. The present review aims to compile available publications with respect to the configuration of the passive samplers, conditions of smartphone photographing, analytical procedures for color detection and quantification (including calibration processes), and their application to different target gases. The performance of the methods—whenever available—is presented regarding the analytical specifications selectivity, sensitivity, and limit of detection in comparison with other color evaluation methods of passive samplers. Practical aspects like requirements of instrumentation and ease of use will be outlined in view of the potential employment in education and citizen science projects. In one section of the review, the inconsistent terminology of passive and diffusive sampling is discussed in order to clarify the distinction of information obtained from the uptake of the passive samplers between gas-phase concentration and the accumulated deposition flux of gaseous analytes. Colorimetric gas sensors are included in the review when applied in passive sampling configurations and evaluation is performed with smartphone-based color evaluation. Differences in the analytical procedures employed after the passive sampling step and prior to the detection of the colored compounds are also presented.

N.A. Blatov and his ideas of balance analysis: history and modernity

This article is devoted to the contribution to the analysis of the balance sheet of one of the famous scientists in the accounting – Nikolai Alexandrovich Blatov. Being a model of flows of three types values, «Blatov’s Square» illustrates the boundaries of balance sheet as an enterprise model. Half of the requirements, noted by Blatov for checking the correctness of the balance, are subjective and cast doubt on the possibility of drawing up the correct balance sheet. Blatov is one of the first authors who presented algorithms for balance analysis techniques and formalized analytical procedures, calling it «economic analysis». These methods remain relevant. The calculation of turnover and liquidity indicators proposed by the author may complement the methods of modern practice. An assumption was made about the relevance of using knowledge of the balance studies in modern conditions. Based on the study of Blatov’s works, it can be concluded that to a greater extent it is advisable to internal rather than external users to apply his ideas for the enterprise analysis.

Enhanced multi-springs model for estimating suction caisson responses under cyclic lateral loading

Offshore wind turbines (OWTs) are situated in intricate marine environments and consistently subjected to cyclic loadings, leading to an accumulation of foundation displacement along with stiffness variation. Employing the multi-spring system, improvements are made to the p-y and t-z model of multi-springs, according to the bounding surface plasticity-based theory, supporting the ongoing loading and unloading behaviors at the caisson-soil interface, which is also verified by the monopod caisson's tests under both uni-directional and multi-directional cyclic lateral loadings. The comparative analysis further indicates that ignoring the combined effect of p-y and t-z springs may result in overstating the deformation of the caisson. Then, incorporating the enhanced multi-spring model into the soil-structure module, allows for the implementation of the dynamic analysis procedure designed for caisson-based OWTs under multi-directional cyclic lateral loading. An increase in the cycle count leads to a larger load deflection angle for the case studied, initiating a continuous accumulation of plastic displacement and the disturbance at caisson-soil interface. This process gives rise to a certain degree of shrinkage within the soil stress boundary, ultimately affecting the overall stability of the structure.

Efficient estimation of gas exchange and respiration kinetics in apple using pathlength-resolved GASMAS

Optimization of controlled atmosphere (CA) storage of pome fruit crucially depends on understanding of respiratory gas exchange. Different fruit properties are involved in describing gas transfer and respiration kinetics, which can vary between cultivars, fruit batches and individual fruit. Determination of these properties currently requires a combination of different time-consuming techniques and data analysis procedures. This study introduces a more efficient single method for O2 gas exchange characterization of fruit based on the non-destructive pathlength-resolved GASMAS (gas in scattering media absorption spectroscopy) technique. GASMAS was used to measure the absolute intercellular O2 concentration in fruit of different apple cultivars (Malus x domestica Borkh.) with distinct porosity including 'Jonagold', 'Braeburn', and 'Nicoter'. To resolve the ambiguity between variation in pathlength and O2 concentration inherent to GASMAS, the pathlength travelled through pores cavities was quantified through a second GASMAS measurement at the absorption line of H2O vapour. Dynamic experiments were then performed in which the fruit was subjected to varying external O2 concentrations while measuring the internal O2 response. The observed dynamic profiles of external and internal O2 concentration were fitted with a lumped -respiration model to estimate the effective mass transfer coefficient, maximum respiration rate and Michaelis Menten constant of intact fruit. The model showed a good fit (R2>0.95) with the measured data and reliable estimates for the model parameters. The proposed method provides a novel and more efficient way to estimate the gas exchange properties of fruit that are essential for optimizing CA storage conditions. Future challenges for the proposed method are with applications to other gasses such as CO2 and ethylene.

Диагностический потенциал регуляторных не кодирующих белок РНК при хроническом лимфоцитарном лейкозе

This paper reviews current knowledge about regulatory non-coding protein RNAs (ncRNAs) involved in the pathogenesis of chronic lymphocytic leukemia (CLL) and their potential capabilities as diagnostic markers. Diversity of clinical course as well as absence of detectable chromosomal aberrations and somatic mutations in 20 % of patients increase the interest to study the epigenetic aspects of pathogenesis. In this context, ncRNAs are believed to be promising diagnostic markers since their expression is commonly tissue-specific and they are quite stable in body fluids. Among the regulatory ncRNAs involved in the CLL pathogenesis, microRNAs and long (lncRNAs) have been most studied, whereas ring-like, or circulatory, ncRNAs (circRNAs) require further analysis. Aberrant expression of ncRNAs may account for the resistance to treatment in CLL patients without detected genomic abnormalities. Bioinformatics analysis of RNA sequencing databases allows to isolate novel candidate ncRNA molecules, including those associated with RNA-mediated suppression of the Piwi protein-interacting transposons. This paper proposes new independent predictive models based on the expression of 2 (LNC-KIA1755-4, LNC-IRF2-32-LNCRNA), 4 (miR-125b, miR-15b, miR-181c, miR-412), and 6 (PRKCQ, TRG.AS1, LNC00467, LNC01096, PCAT6, SBF2.AS1) simultaneously assessed different ncRNAs. Since risk- and stage classification of hematological malignancies is performed not only on the basis of clinical but also molecular genetic markers, the monitoring of regulatory ncRNA expression can provide an additional tool for more effective stratification of patients. The present review is concerned with the methodology issues in analytical procedures which impede widespread use of laboratory ncRNA tests.