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Precise stratigraphic characterization and assessment of soil parameters are essential for agricultural and geotechnical engineering. The cone penetration test (CPT) has become one of the most extensively used techniques for soil site assessment, because of its reproducibility, robustness, accuracy, and simplicity. The existing DEM (discrete element method) simulations on CPT are only applicable to dry soil, which cannot consider fluid phase (i.e., pore water) and its interaction with the soil particles. The combined DEM and CFD (computational fluid dynamics) approach is developed to model CPT testing on saturated soils in this study. Several sets of CPT simulations at various penetration rates have been performed by using CFD–DEM coupled analysis. The variation of penetration velocity leads to different magnitudes of fluid force, and the variation in fluid force, in turn, affects the CPT measurement of soil's characteristics. Furthermore, the study extends beyond the properties of the soil itself to explore the complex interplay among soil particles, the surrounding fluid environment, and the penetrometer. The cumulative interactions among these elements highlight the intricate nature of CPT and underline the importance of comprehensive computational models in enhancing our understanding of these dynamics. [ABSTRACT FROM AUTHOR]

• Cognitive processing therapy is highly recommended in all PTSD treatment guidelines. • This paper reviews the scope of CPT and its effects on PTSD and comorbid disorders. • CPT with diverse populations and dissemination efforts are also described. This state of the science review provides an overview of the history and findings of cognitive processing therapy (CPT), one of the most recommended treatments for posttraumatic stress disorder, acute stress disorder, and comorbid conditions. After an introduction to CPT and the randomized controlled trials that have been conducted, the effects of CPT on comorbid conditions are reviewed, as well as new combination treatments. Cognitive mediators of change are described. Different formats for CPT that have been developed are described, as well as patient, therapy, and therapist factors in outcome; applicability across diverse populations; efforts to disseminate CPT; and ongoing studies into the future. [ABSTRACT FROM AUTHOR]

This case study evaluated the liquefaction risk and application of vibro-compaction for soil improvement in a construction project site on Saadiyat Island, Abu Dhabi, UAE. Abu Dhabi is designated as Zone 0 according to the Uniform Building Code (UBC-97), and we discuss the design criteria for vibro-compaction that were adopted to mitigate the liquefaction risk, the trials conducted to establish the application criteria for vibro-compaction, and the general practices related to vibro-compaction. Specific studies conducted in Abu Dhabi Emirate indicate that the seismicity in the region is low, and the probability of liquefaction is very limited. However, during the pre-project soil investigation phase, the analysis of potential soil liquefaction indicated that certain examined areas have the potential to undergo liquefaction. The liquefaction potential was assessed based on a combination of safety factors obtained for an earthquake with a magnitude Mw = 6 and the corrected cone tip resistance (qc). The acceptability criteria for improved soil are based on cone penetration test (CPT) results. The target qc is accepted as 2.7 MPa and the treatment depth would be a minimum of − 3.5 m. A field trial was conducted to determine the optimal compaction grid spacing that meets the specified acceptance criteria and aligns with the project's design criteria. Based on the trial evaluation, a vibro-compaction grid spacing of 4 × 4 m was appropriate. Consequently, a total of 4125 points at the construction site underwent vibro-compaction. [ABSTRACT FROM AUTHOR]

In the geotechnical engineering field, the rapid speed of urbanization triggers the need for direct measurements of sub-soil parameters through in situ testing, accompanied by instant results. At this juncture, the cone penetration test (CPT) is selected for this study. Here, an attempt is made to develop a correlation between cone penetration resistance (qc) and standard penetration blow count (SPT N) in order to predict a reference range of qc for cohesive (silty clay/clayey silt) sub-soil of different SPT-based consistencies. In this context, 25 CPT were conducted adjacent to conventional boreholes accompanied by SPT tests at eight important locations in West Bengal (WB) and Odisha (OR), India, focusing on infrastructure development. Primarily, sub-soil is characterized by bulk unit weight (γ) along with soil behavior type index (IC) estimated from the CPT and compared with the sub-soil profile identified from conventional boreholes. Further, a comparison of qc with SPT N is made to establish a correlation. Also, an attempt is made to tally the established correlation with the earlier correlations established for different regions. This study quantitatively establishes a quadratic correlation (R2 = 0.84) between qc and SPT N, which is found to be in good agreement with the previous correlations. Overall, the key findings of this study, i.e., the predicted range of qc, reveal a reliable method for assessing the consistency of cohesive sub-soil by virtue of the qc. However, this correlation is limited to soft to very stiff silty clay/clayey silt sub-soil formation. [ABSTRACT FROM AUTHOR]

Case: An 8-year-old girl with NF1 and congenital tibial dysplasia with significant bilateral tibial bowing underwent McFarland procedures. Now age 22 with 14-year follow-up indicating sustained correction and healing of her bilateral limb deformities. Conclusion: This case illustrates the McFarland procedure provided adequate corrective treatment of this deformity and remains a success at long-term follow-up. [ABSTRACT FROM AUTHOR]

The Cone Penetration Test (CPT) is site-specific and it is one of the predominant tests in geotechnical investigations used for varied offshore and onshore facilities. The evaluation of axial load carrying capacity of pile is one such use. Due to their continual records, CPT-based methods are appropriate in the offshore environments. Uncertainties are prevailing in most of the engineered systems and implementation of spatial correlation in the probabilistic geotechnical studies possess a paramount importance to overcome the uncertainties. In the present study, the influence of spatial correlation in the CPT data towards the load carrying capacity of pile group in sandy soil is examined. The in-situ test approach involving the spatial correlation of the CPT data in the analytical formulations is established in the study. The inclusion of spatial correlation intervening the spatial averages of CPT data obtained along the soil profile for the pile length, qc,a and at its base, qc,s is studied. Variance reduction technique is utilized for developing the one-dimensional spatial correlation. The failure probability and its relationship with the factor of safety is illustrated based on the Rackwitz's first-order reliability method (FORM). The results of the analyses have shown that, the inclusion of spatial correlation imparts a significant effect on failure probability and which when ignored will result in an unsafe design. A test pile group is analyzed to exemplify the reliability assessment of axial pile load carrying capacity by considering the spatial correlation of CPT data. This approach can be utilized for the safer pile design practices within the probabilistic framework. [ABSTRACT FROM AUTHOR]

Objective: The clinical utility of continuous performance tests (CPTs) among adults with attention-deficit/hyperactivity disorder (ADHD) has increasingly been brought under question. Therefore, the objective of this study was to systematically review the literature to investigate the clinical utility of various commercially available CPTs, including the Conner's Continuous Performance Test (CCPT), Test of Variables of Attention (TOVA), Gordon Diagnostic System (GDS), and Integrated Visual and Auditory Continuous Performance Test (IVA) in the adult ADHD population. Methods: This systematic review followed the a priori PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Articles were gathered from PsycINFO, PsycARTICLES, Academic Search Complete, and Google Scholar on 11 April 2022. Sixty-nine articles were included in the final review. Risk of bias was assessed using the National Institute of Health Quality Assessment Took for Observational Cohort and Cross-Sectional Studies. Results: Most articles demonstrated high risk of bias, and there was substantial heterogeneity across studies. Overall, the reviewed CPTs appeared to have limited diagnostic utility and classification accuracy. Although many studies showed differing scores between adults with ADHD and comparison groups, findings were not consistent. Characteristics of CPT performances among adults with ADHD were mixed, with little consistency and no evidence of a clear profile of performances; however, CCPT commission errors appeared to have the most utility when used a treatment or experimental outcome measure, compared to other CCPT scores. Conclusion: Overall, CPTs should not be used in isolation as a diagnostic test but may be beneficial when used as a component of a comprehensive assessment. [ABSTRACT FROM AUTHOR]

The particle breakage effect in sand exerts a significant influence on the design of underground space structure. However, the existing theories seldom consider the breakage effect and often lack accurate descriptions of void ratio changes, leading to substantial errors in the numerical calculations compared to the actual scenario. This study employs the simple critical state sand model (SIMSAND) to account for the particle breakage effect and transforms the drained cylindrical cavity expansion problem into a set of first‐order ordinary differential equations described by the Lagrangian method. The analytical solution of the cylindrical cavity expansion problem is calculated using Matlab programming codes. Firstly, Fontainebleau sand is investigated to analyse the influence of initial stress, void ratio and specific volume around the cavity. The combined effects of initial stress and particle breakage on the soil around the cavities result in dilatancy characteristics and a reduction in void ratio. The stress path analysis reveals that the soil around the cavities only reaches a critical state under high initial stresses. Secondly, a plane strain numerical model is established for twice expansion to verify the calculation outcomes from the cylindrical cavity expansion theory. Finally, an axisymmetric cone penetration test (CPT) model is developed to analyse the theoretical and numerical solutions for expansion stress and sleeve friction. The research results indicate that the CPT in sand need to consider the particle breakage effect, especially under high stress conditions. Without considering particle breakage, the sleeve friction is overestimated. These research findings can offer guidance for geotechnical engineering applications, such as CPT, pressuremeter tests and predictions of bearing capacity for pile foundations in sand. [ABSTRACT FROM AUTHOR]

Copyright of Study on Optical Communications / Guangtongxin Yanjiu is the property of Study on Optical Communications Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The in-situ cone penetration test (CPT) has been widely used for site characterization, evaluation of soil properties, and other geotechnical engineering applications. This study presents the evaluation of 8 direct CPT-based methods for separately estimating the end bearing and side resistance of 14 instrumented precast prestressed concrete (PPC) test piles. The PPC piles were instrumented with strain gauges placed in pairs at different depths along the piles. The strain gauge measurements were used to calculate the measured end bearing, measured side resistance, and the distribution of unit side resistances along the piles. Different statistical evaluation criteria were considered in this study. The results showed that the LCPC and Philipponnat methods are the most accurate for estimating the total ultimate pile capacity. Separating the end bearing and side resistance of piles reveals that the 8 pile-CPT methods provided a good estimation of the measured side resistance, but a significantly less accurate estimation of the measured end bearing. The pile-CPT methods showed fair estimation of the measured accumulated side resistance with notable variation between methods and test piles. When separating the unit side resistance for sand and clay layers, the pile-CPT methods showed poor accuracy in estimating the side resistance in sand layers, while close estimation was noticed in clay layers. However, the Schmertmann and ERTC3 methods were demonstrated to be the best in estimating the unit side resistance in clay and sand layers, respectively. [ABSTRACT FROM AUTHOR]

The geotechnical characterisation of offshore wind farm sites requires measurement or estimation of the small-strain shear stiffness Gmax of the subsoil. This parameter can be derived from shear wave velocity Vs measurements if the bulk density of the soil is known. Since direct measurements of Vs are generally not available at all foundation locations in a wind farm, correlations with cone penetration test (CPT) results are often used to determine location-specific stiffness parameters for foundation design. Existing correlations have mostly been calibrated to onshore datasets which may not contain the same soil types and stress conditions found in the North Sea. The distinct geological history of the North Sea necessitates a critical review of these existing CPT-based correlations. They are evaluated against an extensive database of in situ Vs measurements in the southern North Sea. The importance of modelling the stress-dependent nature of Vs is highlighted, and a novel stress-dependent model for Vs from CPT data, which leads to an improved fit, is presented. As the small-strain stiffness is used as an input to foundation response calculations, the model uncertainty of the correlation can introduce significant uncertainty into the resulting foundation response. This transformation uncertainty is quantified for each of the correlations evaluated in this study and shows important variations.

Background: Military personnel who complete cognitive processing therapy (CPT) can still experience residual symptoms of posttraumatic stress disorder (PTSD). Gaining a deeper understanding of the characteristics that influence response to CPT may increase the likelihood of treatment success. Emotion regulation and trait resilience are associated with PTSD severity and may influence treatment response in active duty service members with PTSD. Methods: This secondary analysis explored the association among reports of baseline emotion regulation (Cognitive Emotion Regulation Questionnaire-Short Form) and trait resilience (Response to Stressful Experiences Scale) with PTSD severity reductions in a sample of active duty service members (N = 268) who participated in a clinical trial that compared group-delivered and individual CPT. Population averaged models were utilized to examine if baseline predictors were related to change in PTSD severity from pre- to posttreatment. Results: Trait resilience predicted PTSD severity changes such that participants who reported less trait resilience at baseline demonstrated greater PTSD severity reductions over a course of CPT. There was also a main effect of adaptive emotion regulation on PTSD severity. Post-hoc correlation analyses revealed that baseline adaptive emotion regulation was positively associated with PTSD severity at pre- and posttreatment. Conclusions: Findings imply that service members with lower trait resilience may particularly benefit from CPT. Whether trait resilience moderates PTSD outcomes specific to CPT will require a trial with an alternative comparison treatment arm. Clinical Trial Registration: ClinicalTrials.gov identifier: NCT02173561 (6/25/2014) [ABSTRACT FROM AUTHOR]

The objective of this study is to investigate the methods for soil liquefaction discrimination. Typically, predicting soil liquefaction potential involves conducting the standard penetration test (SPT), which requires field testing and can be time-consuming and labor-intensive. In contrast, the cone penetration test (CPT) provides a more convenient method and offers detailed and continuous information about soil layers. In this study, the feature matrix based on CPT data is proposed to predict the standard penetration test blow count N. The feature matrix comprises the CPT characteristic parameters at specific depths, such as tip resistance q c, sleeve resistance f s, and depth H. To fuse the features on the matrix, the convolutional neural network (CNN) is employed for feature extraction. Additionally, Genetic Algorithm (GA) is utilized to obtain the best combination of convolutional kernels and the number of neurons. The study evaluated the robustness of the proposed model using multiple engineering field data sets. Results demonstrated that the proposed model outperformed conventional methods in predicting N values for various soil categories, including sandy silt, silty sand, and clayey silt. Finally, the proposed model was employed for liquefaction discrimination. The liquefaction discrimination based on the predicted N values was compared with the measured N values, and the results showed that the discrimination results were in 75% agreement. The study has important practical application value for foundation liquefaction engineering. Also, the novel method adopted in this research provides new ideas and methods for research in related fields, which is of great academic significance. [ABSTRACT FROM AUTHOR]

The development of sustainable supply chain finance (SSCF) promotes the improvement of the long-term production and operational performance of enterprises. It is significant to explore both environmentally friendly and cost-effective solutions, especially in the presence of uncertain information. The triangular neutrosophic number (TrNN) can enable decision-makers (DMs) to express their preferences in high uncertainty. This paper aims to provide a systematic multiple-attribute group decision-making (MAGDM) framework to support DMs in prioritizing sustainable development plannings by combining the best-worst method (BWM), optimization model of maximizing deviation method, and uniformity entropy theory. Moreover, a TrNN-based extended TOPSIS method is developed to measure the differences in DMs’ importance. We incorporate the cumulative prospect theory (CPT) method to account for DMs’ psychological behaviors in risk scenarios. The CPT-VIKOR methodology is employed to rank alternatives, enhancing the precision of decision-making. Finally, the proposed approach is successfully applied to the LNG industry to illustrate its applicability. [ABSTRACT FROM AUTHOR]

Negative posttraumatic cognitions (NPCs) have been linked to symptoms of PTSD and are an important target of cognitive behavioral treatments for PTSD, including Cognitive Processing Therapy (CPT). Yet to be explored are the different change trajectories of NPCs during CPT. Knowledge of such change trajectories could elucidate common NPC change processes within CPT and their relationship to PTSD symptom severity. We examined NPC change trajectories in a group of 443 veterans who completed a 2-week intensive CPT program. We identified four NPC trajectory groups termed start high end high, start high end moderate, start moderate end low, and start low end low. Most of the groups showed an increase in NPCs at the midpoint of treatment before ultimately decreasing. As predicted, baseline PTSD symptom severity predicted change trajectory group membership. Also, NPC change trajectories were associated with PTSD severity at the end of treatment such that individuals in smaller NPC change groups had higher PTSD symptoms at the end of treatment, and vice versa. Clinicians can use this knowledge to make predictions of a particular client's NPC change trajectory and set expectations for what progress in treatment may look like, including normalizing increases in NPCs from the start of treatment. [ABSTRACT FROM AUTHOR]

Background: The concept of "time toxicity" has emerged to address the impact of time spent in the healthcare system; however, little work has examined the phenomenon in the field of otolaryngology. Objective: To validate the use of Evaluation and Management (E/M) current procedural terminology codes as a method to assess time burden and to pilot this tool to characterize the time toxicity of office visits associated with a diagnosis of pituitary adenoma between 2016 and 2019. Methods: A retrospective cohort study of outpatient office visits quantified differences between timestamps documenting visit length and their associated E/M code visit length. The IBM MarketScan database was queried to identify patients with a diagnosis of pituitary adenoma in 2016 and to analyze their new and return claims between 2016 and 2019. One-way ANOVA and two-sample t-tests were used to examine claim quantity, time in office, and yearly visit time. Results: In the validation study, estimated visit time via E/M codes and actual visit time were statistically different (P < 0.01), with E/M codes underestimating actual time spent in 79.0% of visits. In the MarketScan analysis, in 2016, 2099 patients received a primary diagnosis of pituitary adenoma. There were 8490 additional-related claims for this cohort from 2016 to 2019. The plurality of new office visits were with endocrinologists (n = 857; 29.3%). Total time spent in office decreased yearly, from a mean of 113 min (2016) to 69 min (2019) (P < 0.001). Conclusions: E/M codes underestimate the length of outpatient visits; therefore, time toxicity experienced by pituitary patients may be greater than reported. Further studies are needed to develop additional assessment tools for time toxicity and promote increased efficiency of care for patients with pituitary adenomas. [ABSTRACT FROM AUTHOR]

The cone penetration test (CPT) is considered as one of the most reliable in-situ tests and has found numerous applications in the geotechnical engineering field. Traditional CPT interpretation includes, but are not limited to the identification of the soil stratification and the determination of soil parameters. This paper presents a case study concerning a test site located in Salzburg, Austria, in which we focus on the interpretation of CPTs from different perspectives. The manuscript is divided into three main sections dealing with three different aspects of CPT interpretation, namely stratification, ground variability and soil parameters. The first strategy introduces a machine learning based stratification identification strategy to detect soil layer boundaries from CPT measurements. A comparison with reference solutions demonstrates relative merits of this approach to classical filter algorithms based on empirical CPT classifications. The second strategy introduces an intuitive approach to evaluate the ground variability. This is achieved by calculating the level of fluctuation on the basis of CPT measurements and could be used as a data-driven decision-making tool for the improved design of CPT investigation layouts. The third strategy is embedded in an ongoing research project that aims to determine constitutive model parameters from in-situ tests using a graph-based methodology. In the present work, the developed automated parameter determination framework is applied to evaluate the soil parameters of one selected soil layer identified from the CPT interpretations. Potential lines of research in the context of CPT interpretation are explored throughout this work and may serve as valuable reference in future research. [ABSTRACT FROM AUTHOR]

Robotics is a highly active, multidisciplinary research area with a broad list of applications. A large research focus is to enhance modularity in order to expand kinematic capabilities, lower fabrication time, and reduce construction costs. Traditional wiring within a robot presents major challenges with mobility and long-term maintenance. Designing robotics without wires would make a significant functional impact. This work presents a new application of quasi-wireless capacitive power transfer that investigates impedance matching parameters over a highly resonant, coupled transmission line to achieve efficient power transfer over a robotic chassis. A prototype is developed and its operating metrics are analyzed with regard to the matching parameters. [ABSTRACT FROM AUTHOR]

The interval-valued intuitionistic fuzzy sets (IVIFSs), based on the intuitionistic fuzzy sets (IFSs), combine the classical decision method and its research and application is attracting attention. After a comparative analysis, it becomes clear that multiple classical methods with IVIFSs' information have been applied to many practical issues. In this paper, we extended the classical EDAS method based on the Cumulative Prospect Theory (CPT) considering the decision experts (DEs)' psychological factors under IVIFSs. Taking the fuzzy and uncertain character of the IVIFSs and the psychological preference into consideration, an original EDAS method, based on the CPT under IVIFSs (IVIF-CPT-EDAS) method, is created for multiple-attribute group decision making (MAGDM) issues. Meanwhile, the information entropy method is used to evaluate the attribute weight. Finally, a numerical example for Green Technology Venture Capital (GTVC) project selection is given, some comparisons are used to illustrate the advantages of the IVIF-CPT-EDAS method and a sensitivity analysis is applied to prove the effectiveness and stability of this new method. [ABSTRACT FROM AUTHOR]

Liquefaction is one of the most important processes in soil dynamics. It is a loss of strength coupled with a rapid increase in pore pressure, causing soil particles to burst for a short period. Several approaches have been developed to calculate the residual or liquefied shear strength of cohesionless soils. Using the liquefaction probability index (LPI) created by Juang et al. (2003), the primary goal of this publication is to map spatiotemporal variations in the liquefaction potential of deposits in the Oued Drader and Marja Zerga alluvial plains of the mio-plio-quaternary Gharb basin. The cone penetration test (CPT) and semi-empirical techniques developed to measure the risk of liquefaction and create a mapping of liquefiable zones on a national scale for the first time are the primary sources of information used in the computation of the liquefaction potential index (LPI), which will be highly applicable and relevant for upcoming research projects. According to the IPL calculation, liquefaction is expected to be confirmed for the sandy and silty-sandy formations in Oued Drader and Marja Zerga. The spatial-temporal variations will depend on the formation's granulometry, saturation level, and liquidity limit. The lateral and spatial variety of the Marja Zerga and Oued Drader plain deposits is reflected in this architecture of liquefaction variation. [ABSTRACT FROM AUTHOR]

The geotechnical characterisation of offshore wind farm sites requires measurement or estimation of the small-strain shear stiffness G max of the subsoil. This parameter can be derived from shear wave velocity V s measurements if the bulk density of the soil is known. Since direct measurements of V s are generally not available at all foundation locations in a wind farm, correlations with cone penetration test (CPT) results are often used to determine location-specific stiffness parameters for foundation design. Existing correlations have mostly been calibrated to onshore datasets which may not contain the same soil types and stress conditions found in the North Sea. The distinct geological history of the North Sea necessitates a critical review of these existing CPT-based correlations. They are evaluated against an extensive database of in situ V s measurements in the southern North Sea. The importance of modelling the stress-dependent nature of V s is highlighted, and a novel stress-dependent model for V s from CPT data, which leads to an improved fit, is presented. As the small-strain stiffness is used as an input to foundation response calculations, the model uncertainty of the correlation can introduce significant uncertainty into the resulting foundation response. This transformation uncertainty is quantified for each of the correlations evaluated in this study and shows important variations. [ABSTRACT FROM AUTHOR]

Abstrak Likuifaksi merupakan satu fenomena yang terjadi pada lapisan tanah akibat gempa bumi. Pada saat terjadi likuifaksi tanah mengalami peningkatan tekanan air pori yang menyebabkan tanah kehilangan kuat geser sehingga mengalami penurunan tegangan efektif dan secara linier mengakibatkan penurunan kuat geser. Penelitian ini dibuat untuk mengetahui perubahan perilaku tiang akibat lapisan tanah terlikuifaksi disepanjang tiang. Semua analisa perubahan perilaku tiang dibandingkan dengan kondisi atau kondisi tidak ada lapisan terlikuifaksi, sehingga dapat diketahui perubahan perilaku tiang ketika ada lapisan teriluifaksi. Dari hasil analisa defleksi diketahui bahwa terjadi perubahan defleksi yang besar jika dibandingkan antara lapisan tidak terlikuifaksi dengan lapisan terlikuifaksi, yaitu dari 0,16 mm menjadi 4,32 mm atau meningkat sebesar 4.16 mm. Perubahan momen untuk lapisan tidak terlikuifaksi 23 kN menjadi 219 kN untuk kondisi lapisan terlikuifaksi atau meningkat sebesar 196 kN.m, hal yg sama pada perubahan daya dukung yang mengalami penurunan ketika terjadi likuifaksi, sehingga disimpulkan bahwa ada perubahan perilaku tiang jika terdapat lapisan terlikuifaksi. Kata kunci: likuifaksi, sondir, daya dukung tiang, defleksi Abstract Liquefaction is a phenomenon that occurs in soil layers due to earthquakes. When liquefaction occurs, the water pressure of soil has increased which causes the soil to lose shear strength, resulting in a decrease in effective stress and linearly resulting in a decrease in shear strength. This research was conducted to determine changes of pile behavior due to liquefaction of the soil layer along the pile. All analyses of changes of pile behavior are compared with conditions where there is no liquefaction layer, so that changes of pile behavior can be seen when there is liquefaction layer of soil. The results of the deflection analysis, it is known that there is a large change in deflection when compared between the non-liquefaction layer and the liquefaction layer, namely from 0.16 mm to be 4.32 mm or increases 4.16 mm. The change in moment for the liquefaction layer is 23 kN to be 219 kN for the liquefaction layer condition or increases 196 kN.m, the same thing as the change in bearing capacity which decreases when liquefaction occurs, so it is concluded that there is a change of pile behavior if there is a liquefaction layer. Keywords: liquefaction, CPT, bearing capacity of pile, deflection

Background: Prisons in Europe remain high-risk environments and conducive for infectious disease transmission, often related to injection drug use. Many infected people living in prison unaware of their infection status (HIV, hepatitis C). Despite all Council of Europe (CoE) member states providing community needle and syringe programmes (NSP), prison NSP are limited to seven countries. The study aim was to scrutinise the Committee for the Prevention of Torture and Inhuman or Degrading Treatment (CPT) reporting of periodic and ad hoc country mission visits to prisons, with an explicit focus on the extent to which member states are/were fulfilling obligations to protect prisoners from HIV/hepatitis C; and implementing prison NSP under the non-discriminatory equivalence of care principle. Study design: Socio-legal review. Methods: A systematic search of the CPT database was conducted in 2024 with no date restriction. All CPT reports were screened in chronological order with the terms; “needle”, “syringe”, “harm reduction” and “NSP”. Relevant narrative content on prison NSP operations, including repeat CPT reminders and any official/publicly expressed reasons for not implementing is presented. Results: CPT reporting reveals limited prison NSP provision in selected prisons visited on mission, with little change in status over time, despite documented evidence of prior observations around absent/insufficient harm reduction measures and explicit (often longstanding) recommendations to address deficits. Reasons for not implementing prison NSP include; existing availability of opioid substitute treatment, lack of evidence for injecting drug use, for security and maintenance of order, and contradiction with prison protocols sanctioning drug use. Conclusions: Prison health is public health. Regular research and evaluations of prison NSP in Europe are warranted. Future CPT visits should also continue to assess availability and standards of provision; recommend where appropriate including when opioid substitute treatment is already provided, and in line with broad availability of community NSP in Europe.

Cone penetration test (CPT) data contains detailed stratigraphic information that is useful in a wide variety of applications. Separating a CPT profile into discrete layers is an important part of many analyses such as critical layer selection in liquefaction triggering analysis, effective stress seismic ground response analysis, analysis of pile shaft and tip resistance, and soil-pile interaction analysis. The discretization of the profile into layers is often done manually, relying on the judgment of the analyst. This manual approach is cumbersome for datasets that include large numbers of CPT profiles (such as the Next Generation Liquefaction [NGL] database and the New Zealand Geotechnical Database) and it may not be consistent or repeatable because different analysts may discretize a given CPT log in different ways. To overcome these difficulties, we present an approach to automatically divide a CPT profile into discrete layers. Automated layer detection is performed using an unsupervised machine learning technique called agglomerative clustering in combination with two cost functions to identify an optimal number of layers. The algorithm is illustrated using CPT profiles from the NGL database, where the approach is being used in the development of liquefaction triggering and manifestation models. Although the algorithm shows promise for replicating our judgment regarding layering, we recommend visual review of the layering produced by the algorithm to check for reasonableness given the site geology and intended use of the CPT data.

This study uses fNIRS to determine whether there is a difference in the relationship between intra-individual variability and frontal lobe activity between ADHD patients and typically developing children. A total of 28 subjects (14 in ADHD patient group and 14 in control group) participated in this study. The subjects were tested for K-SADS and intelligence, and then the frontal lobe activity of the subjects was measured by continuous performance test, using functional near-infrared spectroscopy (NIRSIT). Processing speed index was significantly lower in the ADHD patient group than in the control group (p = .04). The CPT test results showed a positive correlation in the activity of the right dorsolateral prefrontal region in the patient group, but not at a statistically significant level. In the control group, activity showed a significant level of negative correlation with commission and hit reaction time standard deviation (p = .023; p = .063 respectively). In contrary to ADHD patient group, activation of the right dorsolateral prefrontal area was significantly correlated with reduction of intra-individual variability. This result showing that the relationship between activation of the right dorsolateral prefrontal area of the ADHD patient group and intra-individual variability shows a different pattern from typically developing children. [ABSTRACT FROM AUTHOR]

AbstractLarge area civil engineering projects, such as offshore wind farms, require extensive soil investigations for detailed soil characterisations. Site-wide geotechnical soil units are commonly defined for simplification due to budgetary constraints. Consequently, practitioners rely on a limited number of costly laboratory tests and a set of semi-empirical CPT correlations, predominantly established based on research sands, for deriving sand parameters. A recent publication by the authors highlights some valid concerns about currently often applied idealisation when deriving strength parameters of natural sands and presents some possible pathways to address the limitations with a grading curve parameter (d10+d30). In the current paper, the size of the original laboratory test database is increased to improve the robustness of the methods. In addition, the database is used to also explore the potential of the d10+d30-parameter to improve estimations of drained stiffness parameters. However, since the current database mainly consists of relatively fine sands with varying fines content, a previously published database of much coarser clean sands is applied to investigate the limitations of the presented methods. Finally, a new independent trial database is collected to demonstrate the performance of the new methods for estimating drained strength and stiffness parameters compared with commonly applied industry-acknowledged methods. Even though limitations of the presented methods are identified for coarser clean sands, significantly improved reliability is demonstrated when deriving drained strength and stiffness parameters of relatively fine and slightly silty to very silty siliceous offshore sands. [ABSTRACT FROM AUTHOR]

In the past two decades, the traditional nosology of attention-deficit/hyperactivity disorder (ADHD) has been criticized for having insufficient discriminant validity. In line with current trends, in the present study, we combined a data-driven approach with the advantages of virtual reality aiming to identify novel behavioral profiles of ADHD based on ecological and performance-based measures of inattention, impulsivity, and hyperactivity. One hundred and ten Spanish-speaking participants (6–16 years) with ADHD (medication-naïve, n = 57) and typically developing participants (n = 53) completed AULA, a continuous performance test embedded in virtual reality. We performed hybrid hierarchical k-means clustering methods over the whole sample on the normalized t-scores of AULA main indices. A five-cluster structure was the most optimal solution. We did not replicate ADHD subtypes. Instead, we identified two clusters sharing clinical scores on attention indices, susceptibility to distraction, and head motor activity, but with opposing scores on mean reaction time and commission errors; two clusters with good performance; and one cluster with average scores but increased response variability and slow RT. DSM-5 subtypes cut across cluster profiles. Our results suggest that latency of response and response inhibition could serve to distinguish among ADHD subpopulations and guide neuropsychological interventions. Motor activity, in contrast, seems to be a common feature among ADHD subgroups. This study highlights the poor feasibility of categorical systems to parse ADHD heterogeneity and the added value of data-driven approaches and VR-based assessments to obtain an accurate characterization of cognitive functioning in individuals with and without ADHD. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Ground Improvement is the property of Journal of Ground Improvement Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

AbstractThe Yellow River Delta is covered with a large number of pipelines, but due to the complex soil composition in the region, ensuring that pipelines are not damaged by soil liquefaction is an important issue at present. Based on the simplified method of the cone penetration test (CPT), the sequential Gaussian simulation (SGS) can probabilistically simulate the liquefaction potential index (LPI) in the study area to solve the problem of the smoothing effect occurring in the kriging method. In this study, 10 experiments were conducted in the Yellow River Delta to evaluate soil liquefaction within the site using uncertainty analysis by the SGS method. The results indicate that (1) All LPI values in the study area are less than 5, with an overall sub-moderate liquefaction potential. (2) The results of the variogram model show that the Gaussian function model has the best fit with a Root Mean Squared Error of 0.429. The results of the e-type simulation realizations illustrate that the soils around the three sites S1, S5, and S10 exhibit high LPI values, distributed in a band in the middle of the western and eastern parts of the site. (3) Uncertainty analysis was performed using LPI = 2 as a threshold to explore the distribution of areas of moderate liquefaction potential and areas of low liquefaction potential in the study area. (4) Improvements were made to address the current problem of inappropriate values of liquefaction thresholds and the lack of medium liquefaction potential thresholds by proposing when LPI = 20 as the liquefaction threshold, LPI = 10 and 16 as the thresholds for low liquefaction potential, medium liquefaction potential and high liquefaction potential. [ABSTRACT FROM AUTHOR]

Background: In anticipation of Food and Drug Administration (FDA) approval of the Total Posterior Spine (TOPS) system, the International Society for the Advancement of Spine Surgery (ISASS) conducted a study to estimate the work relative value units (RVUs) for facet arthroplasty. The purpose of this study was to establish a valuation of work RVU for Current Procedural Terminology (CPT) Code 0202T in the interim until the Relative Value Scale Update Committee (RUC) can determine an appropriate value. The valuation established from this survey will assist surgeons to establish appropriate procedure reimbursement from third-party payers. Methods: A survey was created and sent to 52 surgeons who had experience implanting the TOPS system during the investigational device exemption clinical trial. The survey included a patient vignette, a description of CPT Code 0202T along with a video of the TOPS system, and a confirmation question about the illustration's effectiveness. Respondents were asked to compare the work involved in CPT Code 0202T to 8 lumbar spine procedures. A Rasch analysis was performed to estimate the relative difficulty of CPT 0202T using the work RVUs of the comparable procedures. Results: Forty-one surgeons responded to the survey. Of all the procedures, CPT Code 0202T received the most responses for equal work compared with posterior osteotomy (46%) followed by transforaminal lumbar interbody fusion (41%). The results of the regression analysis indicate a work RVU for CPT 0202T of 39.47. Conclusion: The study found an estimated work RVU of 39.47 for CPT Code 0202T using Rasch analysis. As an alternative to this Rasch methodology, one may consider a crosswalk methodology to the work RVUs for transforaminal lumbar interbody fusion procedurally, not as an alternative code. Clinical Relevance: These recommendations are not a substitute for RUC methodology but serve as a reference for physicians and third-party payers to understand work RVU similarities for charge and payment purposes temporarily until RUC methodology provides accurate RVUs for the procedure. [ABSTRACT FROM AUTHOR]

Bayesian Networks (BN) are robust probabilistic graphical models mainly used with discrete random variables requiring discretization and quantization of continuous data. Quantization is known to affect model accuracy, speed and interpretability, and there are various quantization methods and performance comparisons proposed in literature. Therefore, this paper introduces a novel approach called CPT limit-based quantization (CLBQ) aimed to address the trade-off among model quality, data fidelity and structure score. CLBQ sets CPT size limitation based on how large the dataset is so as to optimize the balance between the structure score of BNs and mean squared error. For such a purpose, a range of quantization values for each variable was evaluated and a Pareto set was designed considering structure score and mean squared error (MSE). A quantization value was selected from the Pareto set in order to balance MSE and structure score, and the method's effectiveness was tested using different datasets, such as discrete variables with added noise, continuous variables and real continuous data. In all tests, CLBQ was compared to another quantization method known as Dynamic Discretization. Moreover, this study assesses the suitability of CLBQ for the search and score of BN structure learning, in addition to examining the landscape of BN structures while varying dataset sizes and confirming its consistency. It was sought to find the expected structure location through a landscape analysis and optimal BNs on it so as to confirm whether the expected results were actually achieved in the search and score of BN structure learning. Results demonstrate that CLBQ is quite capable of striking a balance between model quality, data fidelity and structure score, in addition to evidencing its potential application in the search and score of BN structure learning, thus further research should explore different structure scores and quantization methods through CLBQ. Furthermore, its code and used datasets have all been made available. [ABSTRACT FROM AUTHOR]

Copyright of Teras Jurnal: Jurnal Teknik Sipil is the property of Teras Jurnal: Jurnal Teknik Sipil and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Plasticity index, Ip, is a relatable parameter for most geotechnical engineers, because Ip can be used to estimate other soil properties, such as internal friction angle, compression index, and low-strain shear modulus. Consequently, a method for estimating Ip directly from a piezocone penetration test (CPTU), which measures cone resistance, sleeve friction, and pore pressure would be useful for many practising geotechnical engineers. This technical note presents a method for estimating Ip profiles entirely from CPTU data. The new method has been calibrated using a case database of 258 complementary measurements taken, in natural soils, at 25 globally distributed marine sites. [ABSTRACT FROM AUTHOR]

Due to the long-standing government pricing system implemented by the railway, the market-oriented reform mechanism for freight transportation pricing remains imperfect. As a result, Intermodal Road-rail Transport (IRRT) has not fully utilized its advantages in the market competition against the Truck-Only Transport (TOT) mode. This paper addresses the limited rationality of decision makers and considers the interests of shippers and carriers in order to enhance the competitiveness of IRRT. To tackle the uncertainty associated with transportation costs, including economic and time costs, a two-layer programming model is employed. The upper layer model focuses on maximizing the operator's profit, while the lower layer model captures the equilibrium freight volume resulting from the shippers' choice behavior when competing modes reach equilibrium. In order to construct the competitiveness model accurately of IRRT, the study integrates the principles of cumulative prospect theory (CPT). Finally, the model is solved using a heuristic algorithm based on sensitivity analysis, presenting a fresh perspective for the steady development of IRRT.

Abstract The cone penetration test (CPT) contributes to the design and analysis of piles regarding geometry, installation effect, and pile capacity (shaft and toe resistance). MiniCone, as an alternative to CPT sounding, has been used to carry out field and laboratory investigations by physical modeling. More tests can be practically carried out through light equipment and small soil mass, involving fewer errors caused by boundary conditions. Furthermore, it can be used for in situ testing, such as quality control, assessment of ground improvement, and subgrade characterization. A database comprising MiniCone and CPT records in field and physical modeling is proposed with a variety of cone diameters. The case study records in the database have been obtained from 140 tests compiled from data from 26 sources. The sources include the results of 20 physical modelings and field data from six sites in 10 countries. The data comprise MiniCone and CPT cone tip resistance ( q c), and sleeve friction ( f s). The different cones are used in sandy, silty sand, and clayey soils via simple chambers (1 g), calibration chambers, and frustum confining vessels. In addition, correlations were found in penetration records in terms of physical modeling types, cone diameters, penetration rates, and soil densities. Moreover, q c and f s are related to capacities of pile toes and shafts using proper correlation coefficients less than unity, respectively. Correlations and dominant factors in geotechnical practice between MiniCone, CPT, and pile have been reviewed and discussed.

The objective of this study is to investigate the methods for soil liquefaction discrimination. Typically, predicting soil liquefaction potential involves conducting the standard penetration test (SPT), which requires field testing and can be time-consuming and labor-intensive. In contrast, the cone penetration test (CPT) provides a more convenient method and offers detailed and continuous information about soil layers. In this study, the feature matrix based on CPT data is proposed to predict the standard penetration test blow count N. The feature matrix comprises the CPT characteristic parameters at specific depths, such as tip resistance qc, sleeve resistance f s, and depth H. To fuse the features on the matrix, the convolutional neural network (CNN) is employed for feature extraction. Additionally, Genetic Algorithm (GA) is utilized to obtain the best combination of convolutional kernels and the number of neurons. The study evaluated the robustness of the proposed model using multiple engineering field data sets. Results demonstrated that the proposed model outperformed conventional methods in predicting N values for various soil categories, including sandy silt, silty sand, and clayey silt. Finally, the proposed model was employed for liquefaction discrimination. The liquefaction discrimination based on the predicted N values was compared with the measured N values, and the results showed that the discrimination results were in 75% agreement. The study has important practical application value for foundation liquefaction engineering. Also, the novel method adopted in this research provides new ideas and methods for research in related fields, which is of great academic significance. [ABSTRACT FROM AUTHOR]

Cone penetration tests (CPTs) are a commonly used in situ method to characterize soil. The recorded data are used for various applications, including earthquake-induced liquefaction evaluation. However, data recorded at a given depth in a CPT sounding are influenced by the properties of all the soil that falls within the zone of influence around the cone tip rather than only the soil at that particular depth. This causes data to be blurred or averaged in layered zones, a phenomenon referred to as multiple thin-layer effects. Multiple thin-layer effects can result in the inaccurate characterization of the thickness and stiffness of thin, interbedded layers. Correction procedures have been proposed to adjust CPT tip resistance for multiple thin-layer effects, but many procedures become less effective as layer thickness decreases. To compare or improve these procedures and to develop new ones, it is critical to have pairs of measured tip resistance (q m ) and true tip resistance (q t ) data, where q m is the tip resistance recorded by the CPT in a layered profile, and q t represents the tip resistance that would be measured in the profile absent of multiple thin-layer effects. Unfortunately, data sets containing q m and q t pairs are extremely rare. Accordingly, this article presents a unique database containing laboratory and numerically generated CPT data from 49 highly interlayered soil profiles. Both q m and q t are provided for each profile. An accompanying Jupyter notebook is provided to facilitate the use of the data and prepare them for future statistical learning (or other) applications to support multiple thin-layer correction procedure development. [ABSTRACT FROM AUTHOR]

Introduction: Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder that affects 3% of children in the world. Objective: In this work, we seek to compare the different brain activations of pediatric patients with and without ADHD. Methods: A functional resonance examination with BOLD contrast was applied using the MOXO-CPT test (Continuous Performance test with single and double visual-auditory distractors). Results: Differences in BOLD activation were observed indicating that control children regularly presented negative BOLD activations that were not found in children with ADHD. Inhibitory activity in audiovisual association zones in control patients was greater than in patients with ADHD. The inhibition in the frontal and motor regions in the controls contrasted with the overactivation of the motor areas in patients with ADHD, this, together with the detection of cerebellar activation which attempted to modulate the responses of the different areas that lead to executive failure in patients with ADHD. Conclusions: In view of these results, it can be argued that the lack of inhibition of ADHD patients in their executive functions led to a disorganization of the different brain systems. [ABSTRACT FROM AUTHOR]

This paper aims to improve the strength of soft clay soil using thermal treatment through a laboratory study that simulates the field application. The laboratory work consisted of preparing a soft clay (Cu = 14 kPa) inside a metal box (92.5 × 92.5 × 92.5) cm3. Boreholes of diameter 43 mm, with different lengths, spacing, and arrangements, were made inside the soil to work as a guide for heating pipes which connected to a controlled heating system. A novel heating system, using gas as a heat source, was developed and manufactured. After the end of the treatment periods, a load was applied until failure on a (20 × 20) cm2 square footing. Various parameter spacings (3, 4, and 5 times the outer diameter of the borehole), depths (1, 1.5, 2, and 2.5 times the width of the model footing), arrangements (square, circular, and triangular), and heating periods (2, 4, 6, 8, and 10 h) were investigated. The results showed the strength and behavior of the soil when subjected to the heated boreholes at different spacings, depths, and heating times, which were determined to be three times the outer diameter of the borehole, two times the width of the square footing, and eight hours, respectively, while the effect of the arrangement of the heated borehole casings was small. Also, a cone penetration probe (CPT) conducted on the heated soil showed that the unconsolidated shear strength (Cu) increased from 14 to 360 kPa and then decreased to 140 kPa (as an average with depth). In contrast, the average angle of internal friction (Ø) increased from 0 to 52 degrees and decreased to 16 degrees (as an average with depth) from the center of the heating model to the furthest point affected by heating. The EDS formula showed that components such as silicon, aluminum, and iron decreased at 300 °C and increased at 400 °C in the treated soils. The calcium content increased at 200 °C and then decreased sharply at 400 °C. The carbon percentage increased at 300 °C and decreased at 400 °C. The elemental proportions showed little change or remained stable at temperatures between 400 °C and 600 °C. [ABSTRACT FROM AUTHOR]

This paper aims to investigate the impact of the particle shape of granular soil particles on the results of cone penetration test (CPT). The discrete element method (DEM) was used to model the CPT in soil particle samples in 3D. The influence of particle shape is studied by parameters of overall regularity (OR), which is obtained from different mixing ratios of the real shape particles and spherical particles. The real particle shapes are obtained from a 3D laser scanner for the simulations. The particle refinement method is applied to enhance computation efficiency. The cone resistance and sleeve resistance curves are smoothed by fitting equations. The factors of OR of soil, particle friction coefficient, particle roundness and initial porosity were demonstrated to have considerable influences on the cone tip resistance and sleeve resistance. The displacement field and the rotational field were plotted to study the microscopic behaviour of granular soils during the penetration process. [ABSTRACT FROM AUTHOR]

CPT is a geotechnical investigation method that, depending on the geology, has been proved to be an essential tool to establish the Geotechnical Design Model. However, doubt has been raised about the quality of the data. Hence, the feasibility to use data from CPT to evaluate reliable parameters for the Geotechnical Design Model also needs investigation. Currently, the international standard EN ISO 22476-1 [1] is being revised, and the revised version will be published in winter 2022. It will include new requirements related to quality parameters such as zero stability, zero-shift, temperature, and pore pressure response. In addition, there will be updated requirements related to the calibration of the cone penetrometer. All this is to improve the quality of the CPT data, thereby increasing the reliability of parameters evaluated from CPT. This paper presents a feasibility study. It compares the zero-shift variation depending on the type of cone penetrometer, the operator, and the geology. More than 2 500 soundings from Sweden, Norway and Finland were the basis for this comparison. The results indicate that the data quality is strongly linked to the type of cone penetrometer, its calibration, and the management of the cone penetrometer in the field. [ABSTRACT FROM AUTHOR]

The cone penetration test (CPT) has shown great potential in coming lunar in-situ resource utilization and base construction missions. To investigate the effect of lunar low gravity and special regolith characteristics, a series of miniature cone penetration tests were conducted under lunar gravity, after which the penetration responses and mechanism were analyzed. Properties of the lunar regolith were reproduced by the CUMT-1 simulant, which shows good consistency with the lunar regolith in mineralogy, particle morphology, grain gradation, and mechanical behaviour. Lunar gravity was simulated through the recently developed geotechnical magnetic-similitude-gravity model testing (GMMT) method. The results show that the increase in gravity leads to a nonlinear increase of the penetration resistance, which is more significant at low relative density and is weakened by increasing assemble density and particle irregularity. The evolution of cone index gradient and normalized penetration resistance at lunar gravity was further analyzed, which shows a good agreement with the in-situ results performed by Lunokhod and Apollo missions. Finally, a back prediction of internal friction angle suggests that the gravity-induced stress level promotes an increase in internal friction angle, but the gravity-induced stress gradient suppresses this trend. [ABSTRACT FROM AUTHOR]

Prior evidence has linked inflammation with impulsivity, but most of this evidence is cross-sectional. In this study, we provoked an acute inflammatory cytokine response to see whether it lowered prepotent response inhibition on three cognitive tasks. This study features secondary analyses from a randomized crossover trial in which 171 postmenopausal breast cancer survivors (Stage I-IIIA) each received a typhoid capsular polysaccharide vaccination and a saline placebo injection in a random sequence at two separate visits at least one month apart. Participants completed the Stroop Color-Discrepant Task, the 2-back, and the Conners Continuous Performance Test (CPT) on the computer between 5 and 7 h after the injections. They had their blood drawn once before and repeatedly after the injection to measure interleukin-1 receptor antagonist and interleukin-6 responses. Women committed marginally fewer errors on the Stroop color-discrepant trials after the typhoid vaccine (M = 0.36, SE = 0.08), compared to placebo (M = 0.54, SE = 0.09, p =.076). Injection type did not predict 2-back accuracy (p =.80) or CPT commission errors (p =.47). Inflammatory cytokine responses were also unrelated to the outcomes of interest (p s>.16). We found no evidence that an acute inflammatory cytokine response provokes response disinhibition – an important facet of impulsivity. In fact, our only marginally non-significant result suggested that women were better able to inhibit their prepotent responses on the Stroop after receiving the typhoid vaccine, compared to placebo. Further experimental tests of the acute inflammatory cytokine response's effect on other aspects of impulsivity are warranted. The sample was female, primarily White, highly educated cancer survivors, and recruitment was not premised on impulsive traits or diagnosis with an impulsive-related disorder. Also, there are many facets of impulsivity, and this study only measured response inhibition. • Whether inflammation drives impulsivity or impulsive-related disorders is unclear. • We manipulated inflammation and measured response inhibition among 171 women. • They had a typhoid vaccine and placebo injection in a random order at two visits. • We found no evidence that acute inflammation provoked response disinhibition. • Further research should see if inflammation affects other aspects of impulsivity. [ABSTRACT FROM AUTHOR]