Analysis Procedure Research Articles

Current Advances and Applications of Diagnostic Microfluidic Chip: A Review

Background: As a developed technology, microfluidics now offers a great toolkit for handling and manipulating suspended samples, fluid samples, and particles. A regular chip is different from a microfluidic chip. A microfluidic chip is made of a series of grooves or microchannels carved on various materials. This arrangement of microchannels contained within the microfluidic chip is connected to the outside by inputs and outputs passing through the chip. Objective: This review includes the current progress in the field of microfluidic chips, their advantages and their biomedical applications in diagnosis. Methods: The various manuscripts were collected in the field of microfluidic chip that have biomedical applications from the different sources like Pubmed,Science direct and Google Scholar, out of which some were relevant and considered for the present manuscript. Results: Microfluidic channels inside the chip allow for the processing of the fluid, such as blending and physicochemical reactions. Aside from its practical, technological, and physical benefits, microscale fluidic circuits also improve researchers' capacity to do more accurate quantitative measurements while researching biological systems. Microfluidic chips, a developing type of biochip, were primarily focused on miniaturising analytical procedures, especially to enhance analyte separation. Since then, the procedures for device construction and operation have gotten much simpler. Conclusion: For bioanalytical operations, microfluidic technology has many advantages. As originally intended, a micro total analysis system might be built using microfluidic devices to integrate various functional modules (or operational units) onto a single platform. More researchers were able to design, produce, and use microfluidic devices because of increased accessibility, which quickly demonstrated the probability of wide-ranging applicability in all branches of biology.

Comparison of seismic assessment guidelines using a case study reinforced concrete wall building

There are several seismic assessment standards and guidelines available around the world that can be used to identify vulnerable buildings. The assessment procedures and criteria in these documents are different, and thus, the assessment outcomes for a particular building, if assessed using different standards, can also be different. In this study, provisions of the linear static and non-linear static analysis procedures of three prominent seismic assessment documents, the American Society of Civil Engineers /Structural Engineers Institute standard ASCE 41 (2017) [1], the New Zealand Seismic Assessment Guidelines (2017) [2], and the European Standard EN 1998-3 (2005) [3] (also known as Eurocode 8 Part-3 or EC8-3) are discussed and compared, highlighting some of their similarities and differences. A reinforced concrete (RC) wall building used in FEMA P-2006 (2018) [4] for demonstration of ASCE 41 provisions is taken as the case study building for comparison of the assessment provisions. The linear and non-linear static analysis procedures specified in the three documents are applied to the case study building and the assessment outcomes are compared. The assessment results are found to vary across the analysis methods and guidelines. However, the critical governing vulnerability for the building is found to be the same. It is observed that with the simplifying modelling assumptions, coupled with the inherent conservatism in the assessment using linear static analysis, a more conservative outcome is obtained using the linear static methods as compared to the non-linear static methods. Overall, EC8-3 provisions are found to be the most conservative of all three guidelines considered for the assessment of the example building.

Food Waste Processing Trends Worldwide and Valorization of Food Waste from Pune City

This article lays its primary focus on understanding waste from the domestic and commercial hotel kitchens. For researchers, deciding biotechnological treatment and valorization process, it is necessary to refer and understand the food waste (FW) composition and its processing trends worldwide. This paper mentions the FW compositional data from four different locations of “Pune” a metro city of India. Study-approved procedures for sample collection, preparation, and analysis were followed. The results indicate, the presence of carbohydrates, proteins, and fats in all samples and are sufficient to support the microbial growth and desired product formation. Being perishable, microbiological and compositional changes during handling and transportation, in FW are inevitable. The presence of high boiling, low boiling volatile compounds and volatile organic acids indicate the complexity of FW and microbial activity taking place within it. Abundant amount of trace elements essential for enzymatic reactions and building block molecule formation are present. Average important figures to mention, starch- 7.27% w/w, free sugars- 3.39% w/w, proteins- 7.99% w/w and fats- 12.84% w/w. In addition, essential trace elements Zn- 4 mg/lit, Mn- 4 mg/lit, Mg- 239 mg/lit, S-433 mg/lit and P- 922 mg/lit. The numbers help to realize the nutritional richness of the FW in reality and provide fundamental statistical data for researchers. Treatment and recycling can be done to contribute toward a circular bio-economy. Remarkable variations observed in almost all components on day-to-day basis. However, pretreatment process parameters can be decided to account for compositional variations.

The links between symptom burden, illness perception, psychological resilience, social support, coping modes, and cancer-related worry in Chinese early-stage lung cancer patients after surgery: a cross-sectional study.

This study aims to investigate the links between the clinical, demographic, and psychosocial factors and cancer-related worry in patients with early-stage lung cancer after surgery. The study utilized a descriptive cross-sectional design. Questionnaires, including assessments of cancer-related worry, symptom burden, illness perception, psychological resilience, coping modes, social support and participant characteristics, were distributed to 302 individuals in early-stage lung cancer patients after surgery. The data collection period spanned from January and October 2023. Analytical procedures encompassed descriptive statistics, independent Wilcoxon Rank Sum test, Kruskal-Wallis- H- test, Spearman correlation analysis, and hierarchical multiple regression. After surgery, 89.07% had cancer-related worries, with a median (interquartile range, IQR) CRW score of 380.00 (130.00, 720.00). The most frequently cited concern was the cancer itself (80.46%), while sexual issues were the least worrisome (44.37%). Regression analyses controlling for demographic variables showed that higher levels of cancer-related worry (CRW) were associated with increased symptom burden, illness perceptions, and acceptance-rejection coping modes, whereas they had lower levels of psychological resilience, social support and confrontation coping modes, and were more willing to obtain information about the disease from the Internet or applications. Among these factors, the greatest explanatory power in the regression was observed for symptom burden, illness perceptions, social support, and sources of illness information (from the Internet or applications), which collectively explained 52.00% of the variance. Healthcare providers should be aware that worry is a common issue for early stage lung cancer survivors with a favorable prognosis. During post-operative recovery, physicians should identify patient concerns and address unmet needs to improve patients' emotional state and quality of life through psychological support and disease education.

“Mom's a bit different”: The challenges of first-time mothers with cerebral palsy in caring for their children from birth until age three

This qualitative study examines childcare challenges and adaptive strategies among first-time Czech mothers with cerebral palsy (CP) in caring for children aged 0–3. Data obtained from ten semi-structured interviews were analyzed using selected procedures of situational analysis. The results were structured around three major themes: (1) The decision to become a mother and preparation for childcare tasks; (2) Challenges in childcare and adopted childcare strategies; (3) Social support received to manage childcare challenges. Along with findings related to the women with CP preparing themselves for the maternal role and childcare tasks, i.e. by attending a prenatal course to learn a suitable hand grip to safety hold their baby or to choose a suitable pram, the participants identified a number of practical childcare challenges they encountered postpartum. The first-time mothers initially tended to delegate challenging childcare tasks, such as lifting and carrying the newborn child, bathing and dressing or changing nappies, to family members or friends, with this support contributing to gradual development of the women's childcare methods to become an independent caregiver. Our findings underline the importance of sharing the lived experiences of mothers with CP with professional communities as well as the general public through formal education programs and informal community outreach.

Modelling the effective thermal conductivity and porosity of an open-cell material using an image-based technique coupled with machine learning

Effective thermal conductivity is considered one of the most important parameters in the characterization of insulating materials. The effective thermal conductivity of open-cell porous materials is influenced by both their microstructure and the types of solid and fluid phases present. Currently, many analytical models are available for predicting the final performance based on material porosity, as well as the thermal conductivity of the solid and fluid phases. However, these procedures have two main drawbacks: difficulty in selecting the correct prediction model and challenges in accurately determining porosity. Moreover, when attempting to measure effective thermal conductivity, strict procedural conditions and defined sample geometries are required, necessitating multiple samples due to variations in porosity from specimen to specimen. The procedure proposed here aims to address these challenges. Utilizing microtomography coupled with 3D virtualization and finite element method simulation, this procedure provides validated results which are then used as a dataset to train a machine-learning model capable of predicting thermal conductivity across a comprehensive range of porosities, solid thermal conductivities and fluid thermal conductivities. Comparative analysis has demonstrated that this procedure is significantly more accurate than conventional analytical models or measurement procedures and it has the potential to be applied to any material.

Co-designing with high-performance athletes and stakeholders: The AHEAD intervention for personal development

The overall purpose of this study was to describe the development of a personal development intervention for high-performance sport. More specifically, the primary objective of the study was to present the results of the co-design phases of the intervention development process. The academic research team initiated the process of intervention development, informed by a grounded theory and using a logic model and the Template for Intervention Description and Replication checklist for Population Health and Policy (TIDieR-PHP). During the co-design phases of intervention development, 28 participants (15 athletes, 8 coaches, 5 technical leaders) were engaged via focus groups or individual interviews. We used qualitative description methodology and analyzed data using an abductive content analysis procedure. Participant engagement helped inform the development of the intervention logo, activity bank, delivery format, scheduling, and individualized approach. By the end of the development phase, the intervention comprised five personal development strategies: self-awareness, goal setting, reflecting, perspective-taking, and evaluating.

Genetic analysis of TRIOBP and MYO15A variants in Iranian families with autosomal recessive non-syndromic hearing loss

BackgroundDeafness is a prevalent sensory and neurological disorder that impacts over 466 million individuals globally. Congenital deafness is the most prevalent birth defect, occurring in approximately 2–3 out of every 1000 births. It is recognized as a highly diverse condition. >50% of congenital deafness has genetic causes and the rest is due to environmental causes or both. With the development of next-generation sequencing and bioinformatics tools, whole-exome sequencing has been proposed as one of the effective methods for diagnosing genetics of hearing loss. MethodFive Iranian Autosomal recessive non-syndromic hearing loss (ARNSHL) families negative for GJB2 (NM_004004.6) gene mutations from Sistan and Baluchestan province were selected for further study by whole-exome sequencing analysis. The analysis procedure was performed using multiple bioinformatics tools and websites after filling the consent form and extracting DNA from whole blood using the salting out method. After detecting the variants in priority and confirming them in the probands by Sanger sequencing, other family members were studied to confirm the variant within the family. ResultsAfter analyzing the families recruited for this study, four known genes along with known and novel variants were discovered. Mutations found in the MYO15A, SLC26A4, TRIOBP and TECTA genes among which, the variants found in TRIOBP (NM_001039141.3, p.R283X) and MYO15A (NM_016239.4, p.P2880Rfs*19) were novel. Other known variants were TECTA (NM_005422.4, p.W1534X) and SLC26A4 (NM_000441.2, p.V239D). No genes or variants that might contribute to hearing loss have been identified within one of the families. ConclusionOur study's findings support previous research that has identified SLC26A4, MYO15A, and TECTA genes as common genetic factors following GJB2 in our population.

Subset simulation based simplified approach for pipeline with multiple irregular corrosion defects in time-dependent reliability analysis

Pipeline system plays an important role in the natural gas and petroleum transportation, and it is widely employed in the engineering application. However, the pipeline system is subjected to corrosion given the industry environment condition, or soil condition when it is buried. In this case, it is important to assess the remaining life of corroded pipeline. Consequently, it is important to predict the failure probability considering the corrosion growth over time and operating pressure. Nevertheless, the prediction of failure probability in corroded pipeline in not an easy task, due to the fact that a realistic corrosion usually has an irregular geometry, especially, when multiple irregular corrosion is involved in the analysis. To simplify the problem, this work presents a simplified procedure for time-dependent reliability analysis to predict the failure probability in pipeline with multiple irregular corrosion defects, considering two failure modes, the burst and leak mode. The approach is based on Subset Simulation and Weighted Depth Difference method, where the multiple irregular corrosion is treated by a discretization procedure and a weighting coefficient is evaluated in every discretization points. Then, this weighting coefficient is introduced into burst pressure assessment, which is employed by burst failure mode limit state function. In this work, the corrosion growth is modelled by power function corrosion model, and initial corrosion depth is generated randomly. The Subset Simulation is employed to evaluate the failure probability, where the Markov Chain Monte Carlo is adopted to evaluate the conditional probability and Metropolis-Hasting algorithm is employed to solve the problem. Finally, several scenarios with single and multiple irregular corrosion defects are analyzed to demonstrate the effectiveness of presented procedure.

Measurement invariance of the short form CES-D among old adults living alone in China

ABSTRACT As China faces a rapidly ageing population and an increasing prevalence of depressive symptoms among older adults, particularly those living alone, the need for accurate screening tools becomes paramount. This study aimed to examine the measurement invariance of the Chinese version of the CES-D-10 among older adults living alone. The final sample of older adults aged 65 years and older (N = 2,014) was from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) in 2018. Confirmatory factor analysis (CFA) and multigroup CFA were used in the data analysis procedure. The findings showed that the 2-factor model (positive and negative emotions) fit the data best. The configure, metric, intercept and residual invariance models were all acceptable. This study discusses the implications of the findings in social work.

Grain textural bias in detrital single-mineral provenance studies

Detrital single-mineral geochemistry and geochronology are strong tools in provenance studies and indicate great potentials in addressing issues in earth sciences. Various biases (both natural and artificial) exist objectively and may mislead provenance interpretations. Both the sedimentary sorting process and hand-picking in-laboratory processing may lead to analyzed grain textural (e.g., size and shape) variability and thus may introduce biases in single-mineral provenance analysis. Here, we take the Mesozoic–Cenozoic Qaidam basin, northeastern Tibet, as an example to investigate the relationship between single-mineral grain texture and detrital zircon geochronological and detrital tourmaline, rutile and garnet geochemical data and to explain how grain texture affects detrital single-mineral provenance interpretations. Results indicate that Precambrian zircons take less proportions in coarse (>125 μm), subrounded and high aspect ratio (>2) fractions than Phanerozoic zircons. Parent rock lithology discrimination results of detrital tourmaline and garnet in different grain size fractions show significant differences. Zr-temperature values of detrital rutile have an increasing trend with increasing grain size. The geochemistry of detrital tourmaline, rutile and garnet shows no dependence with grain aspect ratio and roundness. We suggest that inheritance of grain texture features from parent rocks is the major reason. Detrital zircons from recycled (meta)sedimentary rocks tend to be smaller and more rounded than those from igneous rocks. Detrital tourmaline, rutile and garnet grains from different parent rock types vary in size. Grain textural bias may cause the underestimated contributions of the Qilian Shan to the Cenozoic Qaidam basin if small detrital zircons were not involved in the analysis. Quantitative description of the source-to-sink system of the Cenozoic Qaidam is also influenced by grain textural bias. This study highlights the underestimated grain textural bias in single-mineral provenance studies. We suggest that a comprehensive understanding of potential sedimentary sources, depositional processes, sample petrographic features and laboratory analysis procedures is important to reliable provenance interpretations and to related implications in earth sciences.

Can Adaptive Testing Improve Test-Taking Experience? A Case Study on Educational Survey Assessment

ABSTRACT Test-taking experience is a consequence of the interaction between students and assessment properties. We define a new notion, rapid-pacing behavior, to reflect two types of test-taking experience – disengagement and speededness. To identify rapid-pacing behavior, we extend existing methods to develop response-time thresholds for individual items based on empirical patterns of response time and response accuracy. An analysis procedure is proposed to compare the extent of rapid-pacing behavior across testing formats. We also present a case study using datasets from an educational survey assessment of mathematics. A large-scale randomized experiment was conducted involving two testing formats (linear and multistage) for U.S. 8th-grade students. Results suggest that using multistage testing instead of linear testing has differential impact on test-taking experience across performance levels. The lower performers appear more engaged when presented with items better targeted to their proficiency, whereas the higher performers experience more time pressure when presented with more difficult items.

Evaluation and Development of Analytical Procedures to Assess Buffering Capacity of Carbonate Ruminant Feed Buffers.

The inclusion of rumen buffers in ruminant feeds has gained widespread adoption for the prevention of rumen acidosis, thereby avoiding the negative production and health consequences of low rumen pH and resulting in improved feed efficiency. Benchmarking and quality controlling the performance of rumen buffer materials is of significant interest to feed mills and end-user producers. The aim of this study was to evaluate, develop and optimise a laboratory protocol to consistently and robustly evaluate rumen buffering materials in order to predict their in vivo efficacy. Three different methods were evaluated for determining the buffering potential of carbonate buffer materials: (a) 2 and 8 h static pH, (b) 8 h fixed HCl acid load addition and (c) 3 h acidotic diet simulation using acetic acid. Buffer material, threshold pH, test duration and interactions between all three variables were significant (p < 0.001) in evaluating the performance of the buffer materials. The acidotic diet simulation was found to provide a different ranking of materials to the 8 h fixed HCl acid load methodology. The results highlight the importance of method selection and test parameters for accurately evaluating the potential efficacy of rumen buffer materials.

Advancing High Quality Longitudinal Data Collection: Implications for the HEALthy Brain and Child Development (HBCD) Study Design and Recruitment

The HEALthy Brain and Child Development (HBCD) Study, a multi-site prospective longitudinal cohort study, will examine human brain, cognitive, behavioral, social, and emotional development beginning prenatally and planned through early childhood. The HBCD Study aims to reflect the sociodemographic diversity of pregnant individuals in the U.S. The study will also oversample individuals who use substances during pregnancy and enroll similar individuals who do not use to allow for generalizable inferences of the impact of prenatal substance use on trajectories of child development. Without probability sampling or a randomization-based design, the study requires innovation during enrollment, close monitoring of group differences, and rigorous evaluation of external and internal validity across the enrollment period. In this article, we discuss the HBCD Study recruitment and enrollment data collection processes and potential analytic strategies to account for sources of heterogeneity and potential bias. First, we introduce the adaptive design and enrollment monitoring indices to assess and enhance external and internal validity. Second, we describe the visit schedule for in-person and remote data collection where dyads are randomly assigned to visit windows based on a jittered design to optimize longitudinal trajectory estimation. Lastly, we provide an overview of analytic procedures planned for estimating trajectories.

Long-Term Stability and Efficacy of NCT Solutions.

To realize the potential for the use of N-chlorotaurine (NCT) in healthcare, a better understanding of the long-term stability of the compound in water is needed. An array of analytical procedures is required that can measure changes in NCT concentration over time and allow for the detection and identification of contaminants and likely degradation end products. We used UV-Vis and NMR spectroscopy, HPLC, and LCMS to establish the stability of NCT in solutions subjected to prolonged ambient and elevated temperatures. Stability proved to be dependent on concentration with half-lives of ~120 days and ~236 days for 1% and 0.5% solutions of NCT at ~20 °C. Regardless of initial pH, all solutions shifted toward and maintained a pH of ~8.3 at 20 °C and 40 °C. NCT at 500 µg/mL and 250 µg /mL inhibited biofilm formation by Pseudomonas aeruginosa and Staphylococcus aureus but did not disperse established biofilms. NCT exposure to the biofilms had profound effects on the viability of both bacteria, reducing live organisms by >90%. Exposure of Interleukin-6 (IL-6) to 11 µM NCT reduced the binding of IL-6 to an immobilized specific antibody by ~48%, which is 5× the amount required for HOCl to bring about the same effect in this test system. Our data demonstrate the potency of the compound as an antimicrobial agent with potential benefits in the management of infected chronic wounds and suggest that NCT may contribute to anti-inflammatory processes in vivo by direct modification of cytokine mediators.

Inverse Method to Determine Parameters for Time-Dependent and Cyclic Plastic Material Behavior from Instrumented Indentation Tests.

Indentation is a versatile method to assess the hardness of different materials along with their elastic properties. Recently, powerful approaches have been developed to determine further material properties, like yield strength, ultimate tensile strength, work-hardening rate, and even cyclic plastic properties, by a combination of indentation testing and computer simulations. The basic idea of these approaches is to simulate the indentation with known process parameters and to iteratively optimize the initially unknown material properties until just a minimum error between numerical and experimental results is achieved. In this work, we have developed a protocol for instrumented indentation tests and a procedure for the inverse analysis of the experimental data to obtain material parameters for time-dependent viscoplastic material behavior and kinematic and isotropic work-hardening. We assume the elastic material properties and the initial yield strength to be known because these values can be determined independently from indentation tests. Two optimization strategies were performed and compared for identification of the material parameters. The new inverse method for spherical indentation has been successfully applied to martensitic steel.

Changes in blood biochemistry thrombosis parameters 24 hours after stent-assisted endovascular treatment of intracranial aneurysms.

This study aims to elucidate the early changes in blood biochemistry thrombosis parameters following stent-assisted endovascular treatment of intracranial aneurysms. Consecutive patients with unruptured aneurysms undergoing stent implantation during endovascular treatment were included in this prospective study with approval from the local ethics committee. Blood samples were collected immediately before and 24 h after the procedure for biochemical analysis, including basic thrombosis indicators, bleeding tests, and a complete blood count. The study included 80 patients (60 women, 20 men) with 134 aneurysms. A total of 135 stents (110 flow-diverting, 25 standard) were used. Additionally, intrasaccular coiling was utilized in 28 aneurysms among 27 patients. Following the procedure, there was a significant decrease in activated partial thromboplastin time, fibrinogen, hemoglobin, and platelet levels, and a significant increase in prothrombin time, D-dimer, von Willebrand factor (vWF) activity/antigen ratio, and leukocyte levels in all patients. Correlation analyses revealed significant positive associations between platelet and fibrinogen levels, and a negative association between D-dimer and fibrinogen levels in the coil (-) group. Additionally, there was a significant negative correlation between aneurysm volume and vWF activity/antigen ratio, and procedure duration and thrombocyte count, while a positive association was found between aneurysm number and leukocyte count in the coil (-) group. Analysis of blood chemistry alterations indicates that intravascular thrombosis occurs in the intracranial circulation following stent-assisted endovascular treatment of intracranial aneurysms. This thrombotic process is more pronounced in patients whose aneurysms were left open (i.e. flow-diverting stent alone).

Assessment of the bony resection margin distance in bone-invasive oral cancer using laser-induced breakdown spectroscopy

ObjectivesInadequate resection margins of less than 5 mm impair local tumor control. This weak point in oncological safety is exacerbated in bone-infiltrating tumors because rapid bone analysis procedures do not exist. This study aims to assess the bony resection margin status of bone-invasive oral cancer using laser-induced breakdown spectroscopy (LIBS).Materials and methodsLIBS experiments were performed on natively lasered, tumor-infiltrated mandibular cross-sections from 10 patients. In total, 5,336 spectra were recorded at defined distances from the tumor border. Resection margins < 1 mm were defined as very close, from 1–5 mm as close, and > 5 mm as clear. The spectra were histologically validated. Based on the LIBS spectra, the discriminatory power of potassium (K) and soluble calcium (Ca) between bone-infiltrating tumor tissue and very close, close, and clear resection margins was determined.ResultsLIBS-derived electrolyte emission values of K and soluble Ca as well as histological parameters for bone neogenesis/fibrosis and lymphocyte/macrophage infiltrates differ significantly between bone-infiltrating tumor tissue spectra and healthy bone spectra from very close, close, and clear resection margins (p < 0.0001). Using LIBS, the transition from very close resection margins to bone-infiltrating tumor tissue can be determined with a sensitivity of 95.0%, and the transition from clear to close resection margins can be determined with a sensitivity of 85.3%.ConclusionsLIBS can reliably determine the boundary of bone-infiltrating tumors and might provide an orientation for determining a clear resection margin.Clinical relevanceLIBS could facilitate intraoperative decision-making and avoid inadequate resection margins in bone-invasive oral cancer.

Nanoengineered Nonenzymatic Paper-Based Fluorescent Platform for Pre-Dilution-Free and Visual Real-Time Home Monitoring of Urea for Early Warning of Abnormal Nitrogen-Based Unhealthy Issues.

Distorted urea levels indicate several liver, kidney, or metabolic diseases; however, traditional clinical urea detection relies on urease-based methods enslaved to well-known limitations of high-price, unstable properties, complicated sample pretreatment and analysis procedures, and difficult visual real-time monitoring. Herein, nonenzymatic paper-based fluorescent materials (UFP-BP) are strategically integrated with an on-demand fluorescent-sensor (UFP) self-aggregated nanoparticle on commercial filter paper for pre-dilution-free and visual real-time urea monitoring. The UFP is synthesized and self-aggregated into the fluorescent nanoparticles for selective urea recognition. Then, the nanoparticles are interstitially loaded on filter paper to nanoengineer the UFP-BP, achieving selective quantitative urea detection in the normal concentration range (10-1000mm). UFP and UFP-BP can successfully monitor urea levels in real rat urine, artificial simulants, and milk. The proposed sensing platform, integrated with smartphones, offers accurate, quantitative, nonenzymatic, noninvasive, pre-dilution-free, on-site, rapid, low-cost, easy-to-operate, real-time visual urea detection in food samples and human body fluids. The designed sensing system can provide early warnings of abnormal nitrogen-based health issues.

Protective procedures in functional analysis of self-injurious behavior: An updated scoping review.

Despite the efficacy of functional analyses in identifying the function of challenging behavior, clinicians report not always using them, partly due to safety concerns. Understanding how researchers employ safeguards to mitigate risks, particularly with dangerous topographies like self-injurious behavior (SIB), is important to guide research and practice. However, the results of a scoping review of functional analyses of self-injurious behavior conducted by Weeden et al. (2010) revealed that only 19.83% of publications included protections. We extended the work of Weeden et al. to determine whether reporting has improved. We observed increases in all but two types of protections reviewed by Weeden et al. Additionally, we included new protections not reported by Weeden et al. In total, 69.52% of the studies included at least one protective procedure and 44.39% specified that the protections were used for safety. It appears that reporting has increased since Weeden et al. called for improved descriptions of participant protections.