Fluid inertia controls mineral precipitation and clogging in pore to network-scale flows.

Mineral precipitation caused by fluid mixing presents complex control and predictability challenges in a variety of natural and engineering processes, including carbon mineralization, geothermal energy, and microfluidics. Precipitation dynamics, particularly under the influence of fluid flow, remain poorly understood. Combining microfluidic experiments and three-dimensional reactive transport simulations, we demonstrate that fluid inertia controls mineral precipitation and clogging at flow intersections, even in laminar flows. We observe distinct precipitation regimes as a function of Reynolds number (Re). At low Reynolds numbers (Re < 10), precipitates form a thin, dense layer along the mixing interface, which shuts precipitation off, while at high Reynolds numbers (Re > 50), strong three-dimensional flows significantly enhance precipitation over the entire intersection, resulting in rapid clogging. When injection rates from two inlets are uneven, flow symmetry-breaking leads to unexpected flow bifurcation phenomena, which result in enhanced concurrent precipitation in both downstream channels. Finally, we extend our findings to rough channel networks and demonstrate that the identified inertial effects on precipitation at the intersection scale are also present and even more dramatic at the network scale. This study sheds light on the fundamental mechanisms underlying mixing-induced mineral precipitation and provides a framework for designing and optimizing processes involving mineral precipitation.

A prospective survey on therapeutic inertia in psoriatic arthritis (OPTI'PsA).

OBJECTIVES: Clinical inertia, or therapeutic inertia (TI), is the medical behaviour of not initiating or intensifying treatment when recommended by clinical recommendations. To our knowledge, our survey is the first to assess TI around psoriatic arthritis (PsA). METHODS: Eight hundred and twenty-five French rheumatologists were contacted via email between January and March 2021 and invited to complete an online questionnaire consisting of seven clinical vignettes: five cases ('oligoarthritis', 'enthesitis', 'polyarthritis', 'neoplastic history', 'cardiovascular risk') requiring treatment OPTImization, and two 'control' cases (distal interphalangeal arthritis, atypical axial involvement) not requiring any change of treatment-according to the most recent PsA recommendations. Rheumatologists were also questioned about their routine practice, continuing medical education and perception of PsA. RESULTS: One hundred and one rheumatologists completed this OPTI'PsA survey. Almost half the respondents (47%) demonstrated TI on at least one of the five vignettes that warranted treatment optimization. The complex profiles inducing the most TI were 'oligoarthritis' and 'enthesitis' with 20% and 19% of respondents not modifying treatment, respectively. Conversely, clinical profiles for which there was the least uncertainty ('polyarthritis in relapse', 'neoplastic history' and 'cardiovascular risk') generated less TI with 11%, 8% and 6% of respondents, respectively, choosing not to change the current treatment. CONCLUSION: The rate of TI we observed for PsA is similar to published data for other chronic diseases such as diabetes, hypertension, gout or multiple sclerosis. Our study is the first to show marked clinical inertia in PsA, and further research is warranted to ascertain the reasons behind this inertia.

Higher emotion regulation flexibility predicts more stable negative emotions and faster affective recovery in early psychosis: an experience sampling study.

BACKGROUND: While evidence shows that people with early psychosis are flexible in using different emotion regulation (ER) strategies to manage the varying contextual demands, no studies have examined the effectiveness of such regulatory flexibility in this population. We addressed this issue by investigating whether and how ER flexibility relate to different dynamic aspects (variability, instability, inertia, and recovery) of negative affect (NA) in a combined early psychosis sample, consisting of both individuals at high clinical risk for psychosis and those diagnosed with first-episode psychosis. METHODS: Participants were 148 individuals from the INTERACT project, a multi-center randomized controlled trial on the efficacy of acceptance and commitment therapy in early psychosis. We utilized data from the baseline assessment, during which all participants completed six days of experience sampling assessment of momentary NA, as well as end-of-day assessments of ER strategy use. RESULTS: Multilevel models of within-person associations showed that greater ER flexibility was associated with more stable NA, and quicker recovery of NA from stressors during the day. Linear regression analyses of between-person associations showed that people who had more variable and unstable NA reported greater ER flexibility generally. No evidence was found for associations with NA inertia. CONCLUSIONS: The current study identified unique within-person and between-person links between ER flexibility and dynamics of NA in early psychosis. These findings further provide evidence for ER flexibility in early psychosis, emphasizing the adaptive nature of regulatory flexibility in relation to reduced instability in NA and faster recovery from NA in everyday life.

Effect of delay in treatment intensification in people with type 2 diabetes and suboptimal glycaemia after basal insulin initiation: A real-world observational study.

AIM: Despite global recommendations for type 2 diabetes mellitus treatment to maintain optimal glycaemic targets, a significant proportion of people remain in suboptimal glycaemic control. Our objective was to investigate the impact of intensification delay after basal insulin (BI) initiation on long-term complications in people with suboptimal glycaemia. MATERIALS AND METHODS: We conducted a retrospective cohort study in individuals with type 2 diabetes mellitus initiated on BI. Those with suboptimal glycaemia (glycated haemoglobin ≥7% or ≥53 mmol/mol) within 12 months of BI initiation were divided into early (treatment intensified within 5 years), or late (≥5 years) intensification groups. We estimated the age-stratified risks of micro- and macrovascular complications among these groups compared with those with optimal glycaemia (glycated haemoglobin <7%). RESULTS: Of the 13 916 people with suboptimal glycaemia, 52.5% (n = 7304) did not receive any treatment intensification. In those aged <65 years, compared with the optimal glycaemia group late intensification was associated with a 56% higher risk of macrovascular complications (adjusted hazard ratio 1.56; 95% confidence intervals 1.08, 2.26). In elderly people (≥65 years), late intensification was associated with a higher risk of cardiovascular-related death (1.62; 1.03, 2.54) and a lower risk of microvascular complications (0.26; 0.08, 0.83). CONCLUSIONS: Those who had late intensification were at an increased risk of cardiovascular death if they were ≥65 years and an increased risk of macrovascular complications if they were <65 years. These findings highlight the critical need for earlier intensification of treatment and adopting personalized treatment strategies to improve patient outcomes.

Additive partitioning of multispecies distributional aggregation of local assemblages.

The distribution of species is not random in space. At the finest-resolution spatial scale, that is, field sampling locations, distributional aggregation level of different species would be determined by various factors, for example spatial autocorrelation or environmental filtering. However, few studies have quantitatively measured the importance of these factors. In this study, inspired by the statistical properties of a Markov transition model, we propose a novel additive framework to partition local multispecies distributional aggregation levels for sequential sampling-derived field biodiversity data. The framework partitions the spatial distributional aggregation of different species into two independent components: regional abundance variability and the local spatial inertia effect. Empirical studies from field amphibian surveys through line-transect sampling in southwestern China (Minya Konka) and central-southern Vietnam showed that local spatial inertia was always the dominant mechanism structuring the local occurrence and distributional aggregation of amphibians in the two regions with a latitudinal gradient from 1200 to nearly 4000 m. However, regional abundance variability is still nonnegligible in highly diverse tropical regions (i.e. Vietnam) where the altitude is not higher than 2000 m. In summary, we propose a novel framework that shows that the multispecies distributional aggregation level can be structured by two additive components. The two partitioned components could be theoretically independent. These findings are expected to deepen our understanding of the local community structure from the perspective of both spatial distribution and regional diversity patterns. The partitioning framework might have potential applications in field ecology and macroecology research.

Using your head - cranial steering in pterosaurs.

The vast majority of pterosaurs are characterized by relatively large, elongate heads that are often adorned with large, elaborate crests. Projecting out in front of the body, these large heads and any crests must have had an aerodynamic effect. The working hypothesis of the present study is that these oversized heads were used to control the left-right motions of the body during flight. Using digital models of eight non-pterodactyloids ("rhamphorhyncoids") and ten pterodactyloids, the turning moments associated with the head + neck show a close and consistent correspondence with the rotational inertia of the whole body about a vertical axis in both groups, supporting the idea of a functional relationship. Turning moments come from calculating the lateral area of the head (plus any crests) and determining the associated lift (aerodynamic force) as a function of flight speed, with flight speeds being based on body mass. Rotational inertias were calculated from the three-dimensional mass distribution of the axial body, the limbs, and the flight membranes. The close correlation between turning moment and rotational inertia was used to revise the life restorations of two pterosaurs and to infer relatively lower flight speeds in another two.

Physician Perceptions of Medication Prescribing in Heart Failure: A Scoping Review.

INTRODUCTION: The swift uptake of new medications into clinical practice has many benefits; however, slow uptake has been seen previously with other guideline-directed medical therapies (GDMT) in heart failure (HF). Sodium glucose co-transporter 2 inhibitors are a novel therapy in HF proven to be efficacious and will have beneficial clinical outcomes if prescribed. Understanding physician perspectives on prescribing GDMT in HF can help target strategies to bridge the gap between guidelines and practice. METHODS: The study followed the PRISMA guide for scoping reviews. A search was conducted using EMBASE, Medline, and PubMed databases in April 2024. Studies included were those using qualitative methods to assess physician perspectives towards prescribing any HF medication. Common themes were identified through thematic synthesis following the methods from Cochrane Training and using software MAXQDA Analysis Pro. RESULTS: 708 studies were found in the search, with 23 full studies included. The most pertinent barriers identified were concern for medication adverse effects, unclear role responsibilities between physicians of different specialities, patient co-morbidities, and unwillingness to alter therapies of stable patients. The most identified enablers included awareness of efficacy, influence from colleagues, and the use of multi-media approaches for information dissemination. Perceptions were also found to change over time and vary among prescriber groups. CONCLUSIONS: Physicians perceive common barriers and enablers of prescribing GDMT in HF, despite differences in prescriber groups and time periods. The identified barriers and enablers may be targeted to improve implementation of GDMT into clinical practice.

Discharge of Acute Coronary Syndrome Patients on Sub-Optimal Dual Anti-Platelet Therapy: A Single Center Experience.

PURPOSE: To identify and quantify the reasons why acute coronary syndrome (ACS) patients undergoing stenting at the University of New Mexico Hospital (UNMH) were prescribed sub-optimal dual antiplatelet therapy (DAPT) at discharge, and to identify practice patterns that could potentially lead to improved DAPT treatment for these patients. METHODS: We reviewed electronic medical records and cardiac catheterization records of 326 patients who underwent percutaneous coronary intervention (PCI) at UNMH between January 1, 2021, and June 30, 2022 and identified 229 ACS patients who survived until discharge. Demographic and clinical characteristics relevant to P2Y12 inhibitor selection were obtained from a review of medical records. Pharmacists' notes documenting their efforts to secure appropriate insurance coverage and reasons for discharging patients on clopidogrel rather than ticagrelor/prasugrel were reviewed. Patients discharged on aspirin and clopidogrel underwent review of medical records and cardiac catheterization lab records to determine if the discharge P2Y12 drug was appropriate. Reasons for inappropriate discharge on clopidogrel were categorized as cost/insurance, patient preference, concern for daily adherence to a twice-daily medication, and maintenance of pre-hospital clopidogrel therapy rather than switch to ticagrelor after PCI. RESULTS: The 229 ACS patients included 87 (38.0%) appropriately discharged on ticagrelor/prasugrel, 63 (27.5%) appropriately discharged on clopidogrel, 75 (32.8%) discharged on sub-optimal clopidogrel, and 4 (1.7%) not discharged on a P2Y12 inhibitor. For patients inappropriately discharged on clopidogrel (n = 75), the most common reasons were cost or lack of insurance (n = 56) and clinical inertia (taking clopidogrel before PCI and maintained on it afterward) (n = 17). Sub-optimal P2Y12 therapy at discharge was significantly associated with lack of insurance (odds ratio 21.5, 95% confidence interval 5.33-156,p < 0.001) but not with ethnicity, age, sex, or diabetes. CONCLUSION: At the University of New Mexico, a safety-net hospital, increasing financially restricted access to ticagrelor/prasugrel could help up to 24.5% of ACS patients reduce their risk of ischemic events. For patients admitted on clopidogrel DAPT, escalating to ticagrelor/prasugrel could reduce ischemic risk in 7.4%. Expanding and improving healthcare insurance coverage might reduce the frequency of discharge on sub-optimal P2Y12 therapy.

Quality of care and clinical inertia in the management of cardiovascular risk factors in patients with type 1 and type 2 diabetes: data from AMD annals.

BACKGROUND: Cardiovascular disease is the leading cause of morbidity and mortality among patients with diabetes, and for this reason, all guidelines for CV risk management provide the same targets in controlling traditional CV risk factors in patients with type 1 or type 2 diabetes at equal CV risk class. Aim of our study was to evaluate and compare CV risk management in patients with type 1 and type 2 diabetes included in AMD Annals Database paying particular attention to indicators of clinical inertia. METHODS: This was a multicenter, observational, retrospective study of AMD Annals Database during year 2022. Patients with diabetes were stratified on the basis of their cardiovascular risk, according to ESC-EASD guidelines. The proportion of patients not treated with lipid-lowering despite LDL cholesterol > to 100 mg/dl or the proportion of patients not treated with antihypertensive drug despite BP > 140/90 mmhg and proportion of patients with proteinuria not treated with angiotensin converting enzyme inhibitors or angiotensinogen receptor blockers (ACE/ARBs) were considered indicators of clinical inertia. The proportion of patients reaching at the same time HbA1c < 7% LDL < 70 mg/dl and BP < 130/80 mmhg were considered to have good multifactorial control. Overall quality of health care was evaluated by the Q-score. RESULTS: Using the inclusion criteria and stratifying patients by ESC/EASD Cardiovascular Risk categories, we included in the analysis 118.442 patients at High Cardiovascular risk and 416.246 patients at Very High Cardiovascular risk. The proportion of patients with good multifactorial risk factor control was extremely low in both T1D and T2D patients in each risk class. At equal risk class, the patients with T1D had lower proportion of subjects reaching HbA1c, LDL, or Blood Pressure targets. Indicators of clinical inertia were significantly higher compared with patients with T2D at equal risk class. Data regarding patients with albuminuria not treated with RAAS inhibitors were available only for those at Very High risk and showed that the proportion of patients not treated was again significantly higher in patients with T1DM. CONCLUSIONS: In conclusion, this study provides evidence of wide undertreatment of traditional cardiovascular risk factors among patients with diabetes included in AMD Annals Database. Undertreatment seems to be more pronounced in individuals with T1D compared to those with T2D and is frequently due to clinical inertia.

Temporal trends in the starting of insulin therapy in type 2 diabetes in Italy: data from the AMD Annals initiative.

AIMS: Opportunities and needs for starting insulin therapy in Type 2 diabetes (T2D) have changed overtime. We evaluated clinical characteristics of T2D subjects undergoing the first insulin prescription during a 15-year-observation period in the large cohort of the AMD Annals Initiative in Italy. METHODS: Data on clinical and laboratory variables, complications and concomitant therapies and the effects on glucose control after 12 months were evaluated in T2D patients starting basal insulin as add-on to oral/non-insulin injectable agents, and in those starting fast-acting in add-on to basal insulin therapy in three 5-year periods (2005-2019). RESULTS: We evaluated data from 171.688 T2D subjects who intensified therapy with basal insulin and 137.225 T2D patients who started fast-acting insulin. Overall, intensification with insulin occurred progressively earlier over time in subjects with shorter disease duration. Moreover, the percentage of subjects with HbA1c levels > 8% at the time of basal insulin initiation progressively decreased. The same trend was observed for fast-acting formulations. Clinical characteristics of subjects starting insulin did not change in the three study-periods, although all major risk factors improved overtime. After 12 months from the starting of basal or fast-acting insulin therapy, mean HbA1c levels decreased in all the three investigated time-periods, although mean HbA1c levels remained above the recommended target. CONCLUSIONS: In this large cohort of T2D subjects, a progressively earlier start of insulin treatment was observed during a long observation period, suggesting a more proactive prescriptive approach. However, after 12 months from insulin prescription, in many patients, HbA1c levels were still out-of-target.

A machine learning model to predict therapeutic inertia in type 2 diabetes using electronic health record data.

OBJECTIVE: To estimate the therapeutic inertia prevalence for patients with type 2 diabetes, develop and validate a machine learning model predicting therapeutic inertia, and determine the added predictive value of area-level social determinants of health (SDOH). METHODS: This prognostic study with a retrospective cohort design used OneFlorida data (linked electronic health records (EHRs) from 1240 practices/clinics in Florida). The study cohort included adults (aged ≥ 18) with type 2 diabetes, HbA1C ≥ 7% (53 mmol/mol), ≥one ambulatory visit, and ≥one antihyperglycemic medication prescribed (excluded patients prescribed insulin before HbA1C). The outcome was therapeutic inertia, defined as absence of treatment intensification within six months after HbA1C ≥ 7% (53 mmol/mol). The predictors were patient, provider, and healthcare system factors. Machine learning methods included gradient boosting machines (GBM), random forests (RF), elastic net (EN), and least absolute shrinkage and selection operator (LASSO). The DeLong test compared the discriminative ability (represented by C-statistics) between models. RESULTS: The cohort included 31,087 patients with type 2 diabetes (mean age = 58.89 (SD = 13.27) years, 50.50% male, 58.89% White). The therapeutic inertia prevalence was 39.80% among the 68,445 records. GBM outperformed (C-statistic from testing sample = 0.84, 95% CI = 0.83-0.84) RF (C-statistic = 0.80, 95% CI = 0.79-0.80), EN (C-statistic = 0.80, 95% CI = 0.80-0.81), and LASSO (C-statistic = 0.80, 95% CI = 0.80-0.81), p < 0.05. Area-level SDOH significantly increased the discriminative ability versus models without SDOH (C-statistic for GBM = 0.84, 95% CI = 0.84-0.85 vs. 0.84, 95% CI = 0.83-0.84), p < 0.05. CONCLUSIONS: Using EHRs of patients with type 2 diabetes from a large state, machine learning predicted therapeutic inertia (prevalence = 40%). The model's ability to predict patients at high risk of therapeutic inertia is clinically applicable to diabetes care.

Physiological plateaus during normal labor and birth: A novel definition.

BACKGROUND: Diagnoses of labor dystocia, and subsequent labor augmentation, make one of the biggest contributions to childbirth medicalization, which remains a key challenge in contemporary maternity care. However, labor dystocia is poorly defined, and the antithetical concept of physiological plateaus remains insufficiently explored. AIM: To generate a definition of physiological plateaus as a basis for further research. METHODS: This qualitative study applied grounded theory methods and comprised interviews with 20 midwives across Australia, conducted between September 2020 and February 2022. Data were coded in a three-phase approach, starting with inductive line-by-line coding, which generated themes and subthemes, and finally, through axial coding. RESULTS: Physiological plateaus represent a temporary slowing of one or multiple labor processes and appear to be common during childbirth. They are reported throughout the entire continuum of labor, typically lasting between a few minutes to several hours. Their etiology/function appears to be a self-regulatory mechanism of the mother-infant dyad. Physiological plateaus typically self-resolve and are followed by a self-resumption of labor. Women with physiological plateaus during labor appear to experience positive birth outcomes. DISCUSSION: Despite appearing to be common, physiological plateaus are insufficiently recognized in contemporary childbirth discourse. Consequently, there seems to be a significant risk of misinterpretation of physiological plateaus as labor dystocia. While findings are limited by the qualitative design and require validation through further quantitative research, the proposed novel definition provides an important starting point for further investigation. CONCLUSION: A better understanding of physiological plateaus holds the potential for a de-medicalization of childbirth through preventing unjustified labor augmentation.

General physicians' perspectives on SGLT2 inhibitors for heart failure.

BACKGROUND: Sodium-glucose cotransporter-2 inhibitors (SGLT2is) are novel agents for heart failure (HF) and are now recommended in guidelines. Understanding general physicians' perspectives can help to optimise utilisation of this new medication. AIM: To understand the clinical concerns and barriers from general physicians about prescribing SGLT2is in a general medicine cohort. METHODS: A questionnaire exploring clinicians' experience, comfort level and barriers to prescribing SGLT2is in patients with HF, incorporating two clinical scenarios, was disseminated to Internal Medicine Society of Australia and New Zealand members over a 2-month period. RESULTS: Ninety-eight participants responded to the questionnaire (10.8% response rate). Most respondents (66.3%) were senior medical staff. Most participants worked in metropolitan settings (64.3%) and in public hospital settings (83.7%). For HF with reduced ejection fraction, 23.5% of participants reported prescribing SGLT2is frequently (defined as prescribing SGLT2is frequently over 75% of occasions). For HF with preserved ejection fraction, 57.1% of participants reported prescribing SGLT2is less than 25% of the time. Almost half of the participants (44%) expressed a high level of familiarity with therapeutic knowledge of SGLT2is, while 47% indicated high familiarity with potential side effects. Patient complexity, cost of medications and discontinuity of care were identified as important barriers. Euglycemic diabetic ketoacidosis was the side effect that caused the most hesitancy to prescribe SGLT2is in 48% of the respondents. CONCLUSION: General physicians in Australia and Aotearoa New Zealand are familiar with the therapeutic knowledge and side effects of SGLT2is. Patient complexity, medication cost and discontinuity of care were significant barriers to the use of SGLT2is for HF among general physicians.

Insulin initiation in patients with type 2 diabetes is often delayed, but access to a diabetes nurse may help-insights from Norwegian general practice.

Objective: We opted to study how support staff operational capacity and diabetes competences may impact the timeliness of basal insulin-initiation in general practice patients with type 2 diabetes (T2D).Design/Setting/Outcomes: This was an observational and retrospective study on Norwegian primary care patients with T2D included from the ROSA4-dataset. Exposures were (1) support staff size, (2) staff size relative to number of GPs, (3) clinic access to a diabetes nurse and (4) share of staff with diabetes course (1 and 2 both relate to staff operational capacity, whereas 3 and 4 are both indicatory of staff diabetes competences). Outcomes were 'timely basal insulin-initiation' (primary) and 'attainment of HbA1c<7%' after insulin start-up (secondary). Associations were analyzed using multiple linear regression, and directed acyclic graphs guided statistical adjustments.Subjects: Insulin naïve patients with 'timely' (N = 294), 'postponed' (N = 219) or 'no need of' (N = 3,781) basal insulin-initiation, respectively.Results: HbA1c [median (IQR)] increased to 8.8% (IQR, 8.0, 10.2) prior to basal insulin-initiation, which reduced HbA1c to 7.3 (6.8-8.1) % by which only 35% of the subjects reached HbA1c <7%. Adjusted risk of 'timely basal insulin-initiation' was more than twofold higher if access to a diabetes nurse (OR = 2.40, [95%CI, 1.68, 3.43]), but related only vaguely to staff size (OR = 1.01, [95%CI, 1.00, 1.03]). No other staff factors related significantly to neither the primary nor the secondary outcome.Conclusion: In Norwegian general practice, insulin initiation in people with T2D may be affected by therapeutic inertia but access to a diabetes nurse may help facilitating more timely insulin start-up.

In patients with type 2 diabetes (T2D) cared for by their general practice physician (GP), insulin therapy was susceptible to therapeutic inertia.In Norwegian general practice, chance of timely basal insulin-initiation was found more than two-fold higher if the GP had access to a diabetes nurse.In contrast, the timeliness of basal insulin-initiation in general practice patients with T2D seemed unaffected by share of support staff with diabetes course and by factors indicatory of support staff overall operational capacity.In Norwegian general practice, a diabetes nurse seems to offer unique clinical benefits to the care of insulin treated patients with T2D.

Dimension reduction and outlier detection of 3-D shapes derived from multi-organ CT images.

BACKGROUND: Unsupervised clustering and outlier detection are important in medical research to understand the distributional composition of a collective of patients. A number of clustering methods exist, also for high-dimensional data after dimension reduction. Clustering and outlier detection may, however, become less robust or contradictory if multiple high-dimensional data sets per patient exist. Such a scenario is given when the focus is on 3-D data of multiple organs per patient, and a high-dimensional feature matrix per organ is extracted. METHODS: We use principal component analysis (PCA), t-distributed stochastic neighbor embedding (t-SNE) and multiple co-inertia analysis (MCIA) combined with bagplots to study the distribution of multi-organ 3-D data taken by computed tomography scans. After point-set registration of multiple organs from two public data sets, multiple hundred shape features are extracted per organ. While PCA and t-SNE can only be applied to each organ individually, MCIA can project the data of all organs into the same low-dimensional space. RESULTS: MCIA is the only approach, here, with which data of all organs can be projected into the same low-dimensional space. We studied how frequently (i.e., by how many organs) a patient was classified to belong to the inner or outer 50% of the population, or as an outlier. Outliers could only be detected with MCIA and PCA. MCIA and t-SNE were more robust in judging the distributional location of a patient in contrast to PCA. CONCLUSIONS: MCIA is more appropriate and robust in judging the distributional location of a patient in the case of multiple high-dimensional data sets per patient. It is still recommendable to apply PCA or t-SNE in parallel to MCIA to study the location of individual organs.

In search of the origins of crime continuity: Aggressive versus nonaggressive delinquency as a key factor in the psychological inertia process.

The purpose of this study was to test whether the psychological inertia process believed to give rise to crime continuity is limited to aggressive delinquency or evolves from both aggressive and nonaggressive delinquency. Self-report data provided by 845 early adolescent youth (406 boys, 439 girls) were analyzed in an effort to test the hypothesis that aggressive rather than nonaggressive delinquency precipitates a rise in delinquency through the intervening influence of cognitive impulsivity but not moral neutralization. The hypothesis stated that of the four models evaluated in this study (aggressive delinquency → moral neutralization → offense variety; aggressive delinquency → cognitive impulsivity → offense variety; nonaggressive delinquency → moral neutralization → offense variety; nonaggressive delinquency → cognitive impulsivity → offense variety), only the aggressive delinquency → cognitive impulsivity → offense variety model would achieve significance. Consistent with this hypothesis, only the aggressive delinquency → cognitive impulsivity → offense variety pathway was, in fact, significant. The current findings suggest that the psychological inertia process may be driven by a pattern of aggressive delinquency followed by cognitive impulsivity and that neither nonaggressive delinquency nor moral neutralization contribute to the process. Theoretical and practical implications of these results are discussed.

Kinematic characteristics of elbow joint range of motion in elite Chinese freestyle swimmers with elbow pain during dry-land simulations of swimming strokes.

The aim of this study was to obtain quantitative data on elbow joint ROM in elite freestyle swimmers with EP in China. Of the 50 elite freestyle swimmers recruited, 41 completed all measurements during dry-land swimming stroke simulations. Elbow joint angle, velocity, and acceleration were measured using inertial measurement units. The RMSE/D was calculated to determine the elbow joint ROM deviation. Joint angle (3.33 ∘-42.96 ∘), angular velocity (-364.15 to 245.69 ∘/s), and angular acceleration (-7051.80 to 1465.35 ∘/s2) were significantly different between the critical pain and healthy. The probability distributions of joint angle (15.47 ∘ ±14.54 ∘), angular velocity (2.41 ∘ ±111.06 ∘/s), and angular acceleration (1.93 ± 2222.6 ∘/s2) in the slight pain group were significantly different betweenhealthy and critical pain. The RMSE/D distributions of angular velocity (28.3%) and acceleration (21.48%) in the critical pain deviated from the healthy. The peak value-RMSE/D matrix model obtained proved that elbow ROM significantly differed between the elite freestyle swimmers with EP and the healthy. Angular velocity and acceleration indicate the weakness and negative influence of kinematics on patients with EP. Thus, Potential solutions are to constantly optimise freestyle swimming techniques and strengthen the arm muscles.

Skewness and Staging: Does the Floor Effect Induce Bias in Multilevel AR(1) Models?

Multilevel autoregressive models are popular choices for the analysis of intensive longitudinal data in psychology. Empirical studies have found a positive correlation between autoregressive parameters of affective time series and the between-person measures of psychopathology, a phenomenon known as the staging effect. However, it has been argued that such findings may represent a statistical artifact: Although common models assume normal error distributions, empirical data (for instance, measurements of negative affect among healthy individuals) often exhibit the floor effect, that is response distributions with high skewness, low mean, and low variability. In this paper, we investigated whether-and to what extent-the floor effect leads to erroneous conclusions by means of a simulation study. We describe three dynamic models which have meaningful substantive interpretations and can produce floor-effect data. We simulate multilevel data from these models, varying skewness independent of individuals' autoregressive parameters, while also varying the number of time points and cases. Analyzing these data with the standard multilevel AR(1) model we found that positive bias only occurs when modeling with random residual variance, whereas modeling with fixed residual variance leads to negative bias. We discuss the implications of our study for data collection and modeling choices.

Accurate Measurement of Temperatures in Industrial Grinding Operations with Steep Gradients.

Due to the continuously growing demands from high-added-value sectors such as aerospace, e-mobility or biomedical bound-abrasive technologies are the key to achieving extreme requirements. During grinding, energy is rapidly dissipated as heat, generating thermal fields on the ground part which are characterized by high temperatures and very steep gradients. The consequences on the ground part are broadly known as grinding burn. Therefore, the measurement of workpiece temperature during grinding has become a critical issue. Many techniques have been used for temperature measurement in grinding, amongst which, the so-called grindable thermocouples exhibit great potential and have been successfully used in creep-feed grinding operations, in which table speed is low, and therefore, temperature gradients are not very steep. However, in conventional grinding operations with faster table speeds, as most industrial operations are, the delay in the response of the thermocouple results in large errors in the maximum measured value. In this paper, the need for accurate calibration of the response of grindable thermocouples is studied as a prior step for signal integration to correct thermal inertia. The results show that, if the raw signal is directly used from the thermocouples, the deviation in the maximum temperature with respect to the theoretical model is over 200 K. After integration using the calibration constants obtained for the ground junction, the error can be reduced to 93 K even for feed speeds as high as 40 m/min and below 20 K for lower feed speeds. The main conclusion is that, following the proposed procedure, maximum grinding temperatures can be effectively measured using grindable thermocouples even at high values of table speed.

Adaptive Control for Virtual Synchronous Generator Parameters Based on Soft Actor Critic.

This paper introduces a model-free optimization method based on reinforcement learning (RL) aimed at resolving the issues of active power and frequency oscillations present in a traditional virtual synchronous generator (VSG). The RL agent utilizes the active power and frequency response of the VSG as state information inputs and generates actions to adjust the virtual inertia and damping coefficients for an optimal response. Distinctively, this study incorporates a setting-time term into the reward function design, alongside power and frequency deviations, to avoid prolonged system transients due to over-optimization. The soft actor critic (SAC) algorithm is utilized to determine the optimal strategy. SAC, being model-free with fast convergence, avoids policy overestimation bias, thus achieving superior convergence results. Finally, the proposed method is validated through MATLAB/Simulink simulation. Compared to other approaches, this method more effectively suppresses oscillations in active power and frequency and significantly reduces the setting time.