Ultra-diluted complex additive in the diet reveals benefits in the intestinal tract of nursery-phase piglets.

This study aimed to assess an ultra-diluted (UD) complex, as a replacement for an antimicrobial growth promoter in diets, on growth performance, intestinal health, and inflammatory response of nursery piglets. The experiment lasted 37 days and involved 126 animals weaned at 21 ± 1.3 d, with an initial body weight of 5.62 ± 1.16 kg. Piglets were assigned to six dietary treatments in a randomized block design with seven replicates and three piglets per pen as experimental unit. The treatments were: positive control (PC)- basal diet + 120 mg/kg of chlorohydroxyquinoline; negative control (NC)- basal diet without additives; and NC containing 4.5; 6.0; 7.5 or 9.0 kg of UD additive/ton diet. Performance data were calculated, and daily diarrhea was observed. Blood samples were collected for hematological analysis. At the end of the experiment, one animal per pen was slaughtered for organ weighing, pH, and the collection of intestinal samples for histopathology. Feces and cecal contents were collected for microbiological and antibiogram analyses. There was no difference in the performance between the treatments. Throughout the study, UD levels were equal to those of PC for diarrhea occurrence. Higher levels of UD complex led to higher total leukocyte counts. The 4.5 treatment showed a reduction in total and thermotolerant Enterobacteriaceae populations in piglet feces and an increase in lactic acid bacteria compared to PC. All treatments resulted in fewer duodenal histopathological alterations than those in the NC group. The use of UD additives, especially at 4.5 kg/ton, is a good alternative to chlorohydroxyquinoline in piglet diets.

Anatomical Bases of the Temporal Muscle Trigger Points.

Method: Temporal muscles of 14 adult cadavers were studied. The muscle bellies were divided into six areas, three superior (1.2 and 3) and three inferior areas (4, 5, and 6) lower, according to a Cartesian plane to analyze and describe the entry points of the branches of the deep temporal nerves into the muscle. The branching distribution was analyzed using Poisson log-linear tests with Bonferroni post hoc tests for comparison between groups (sextants) (p < 0.05). Results: Deep temporal nerve entry points were found in the temporal muscle in all areas. Most of the branches were observed in areas 2 and 5, which coincide with the muscle fibers responsible for mandible elevation and related to the previously described MTPs. Fewer branches were found in areas 1 and 6, where contraction produces mandible retraction. Conclusion: There is an anatomical correlation between the branching pattern of the deep temporal nerve and temporal muscle trigger points. Adequate knowledge of the innervation of the temporal muscle may help elucidate the pathophysiology of myofascial syndromes and provide a rational basis for interventional or conservative approaches and help surgeons avoid iatrogenic lesions to the deep temporal nerve lesion.

Dimensionality assessment in the presence of wording effects: A network psychometric and factorial approach.

This study proposes a procedure for substantive dimensionality estimation in the presence of wording effects, the inconsistent response to regular and reversed self-report items. The procedure developed consists of subtracting an approximate estimate of the wording effects variance from the sample correlation matrix and then estimating the substantive dimensionality on the residual correlation matrix. This is achieved by estimating a random intercept factor with unit loadings for all the regular and unrecoded reversed items. The accuracy of the procedure was evaluated through an extensive simulation study that manipulated nine relevant variables and employed the exploratory graph analysis (EGA) and parallel analysis (PA) retention methods. The results indicated that combining the proposed procedure with EGA or PA achieved high accuracy in estimating the substantive latent dimensionality, but that EGA was superior. Additionally, the present findings shed light on the complex ways that wording effects impact the dimensionality estimates when the response bias in the data is ignored. A tutorial on substantive dimensionality estimation with the R package EGAnet is offered, as well as practical guidelines for applied researchers.

Comparing community detection algorithms in psychometric networks: A Monte Carlo simulation.

Identifying the correct number of factors in multivariate data is fundamental to psychological measurement. Factor analysis has a long tradition in the field, but it has been challenged recently by exploratory graph analysis (EGA), an approach based on network psychometrics. EGA first estimates a network and then applies the Walktrap community detection algorithm. Simulation studies have demonstrated that EGA has comparable or better accuracy for recovering the same number of communities as there are factors in the simulated data than factor analytic methods. Despite EGA's effectiveness, there has yet to be an investigation into whether other sparsity induction methods or community detection algorithms could achieve equivalent or better performance. Furthermore, unidimensional structures are fundamental to psychological measurement yet they have been sparsely studied in simulations using community detection algorithms. In the present study, we performed a Monte Carlo simulation using the zero-order correlation matrix, GLASSO, and two variants of a non-regularized partial correlation sparsity induction methods with several community detection algorithms. We examined the performance of these method-algorithm combinations in both continuous and polytomous data across a variety of conditions. The results indicate that the Fast-greedy, Louvain, and Walktrap algorithms paired with the GLASSO method were consistently among the most accurate and least-biased overall.

Detecting non-content-based response styles in survey data: An application of mixture factor analysis.

It is common for some participants in self-report surveys to be careless, inattentive, or lacking in effort. Data quality can be severely compromised by responses that are not based on item content (non-content-based [nCB] responses), leading to strong biases in the results of data analysis and misinterpretation of individual scores. In this study, we propose a specification of factor mixture analysis (FMA) to detect nCB responses. We investigated the usefulness and effectiveness of the FMA model in detecting nCB responses using both simulated data (Study 1) and real data (Study 2). In the first study, FMA showed reasonably robust sensitivity (.60 to .86) and excellent specificity (.96 to .99) on mixed-worded scales, suggesting that FMA had superior properties as a screening tool under different sample conditions. However, FMA performance was poor on scales composed of only positive items because of the difficulty in distinguishing acquiescent patterns from valid responses representing high levels of the trait. In Study 2 (real data), FMA detected a minority of cases (6.5%) with highly anomalous response patterns. Removing these cases resulted in a large increase in the fit of the unidimensional model and a substantial reduction in spurious multidimensionality.

An interdisciplinary intervention program to prevent early childhood caries in the Dominican Republic.

Objective: The principal aim of this randomized clinical trial (RCT) was to test the effectiveness in the prevention of Early Childhood Caries (ECC) through an educational intervention program with the use of a printed guide for pediatricians and parents both designed by pediatric dentists. Materials and methods: After ethical approval, the first step was to design the educational guides, which were based on the information obtained from a focus group with pediatricians (n = 3), phone interviews with mothers to toddlers' (n = 7), and the best evidence available about children's oral health. For the RCT, 309 parents with their 10-12 months old children were randomly allocated to either the intervention or the control group. Parents in the intervention group received oral health education from the pediatricians supported by the printed guides. Parents in both groups received an oral health kit with a toothbrush and toothpaste at the first visit as well as at each 6-month follow-up visit. After 18 months the children were evaluated using ICDAS criteria. Results: At baseline, data were available from 309 children (49.8% girls). The mean age of the children was of 10.8 months (SD = 0.8) and 69.3% had not had their teeth brushed with toothpaste. After 18 months, a total of 28 (22%) children in the intervention group and 44 (24%) in the control group were clinically examined. Regarding the number of tooth surfaces with caries lesions, the children in the intervention group had a mean of 6.50 (SD = 6.58) surfaces, while the children in the control group had a mean of 5.43 (SD = 4.74) surfaces with caries lesions. This difference was not significant (p = 0.460). Conclusion: The RCT showed no effectiveness in caries-progression control. Despite this result, this study managed to identify barriers that do not allow pediatricians from offering parents adequate oral health recommendations. With this learning, it is possible to work on collaborative programs with pediatricians that over time likely will increase dental health by controlling for ECC.

The efficacy of combined arginine and probiotics as an add-on to 1450 ppm fluoride toothpaste to prevent and control dental caries in children - A randomized controlled trial.

OBJECTIVES: To determine how daily consumption of a lozenge combining arginine and two probiotic strains affects the Relative Risk Reduction (RRR) in children regarding dental caries transitions and lesion activity at tooth surface level during 10-12 months. METHODS: A total of 21,888 tooth surfaces in 288 children were examined. The intervention group (n = 141) received a lozenge containing 2% arginine, Lacticaseibacillus rhamnosus, LGG® (DSM33156), and Lactobacillus paracasei subsp. paracasei, L. CASEI 431® (DSM33451). The placebo group (n = 147) received a placebo lozenge. Both groups received 1,450 ppm F- toothpaste. Primary canines, molars, and first permanent molars were examined clinically (ICDAS0-6) and radiographically (R0-6) at baseline and follow-up. Sealed, filled, and missing surfaces were also included. Caries activity was computed as a sum of each caries lesion's location, color, texture, cavitation, and gingival bleeding. RRRs were computed with cluster effect on surface level. ICH-GCP was followed, including external monitoring. RESULTS: A total of 19,950 surfaces were analyzed after excluding 1,938 tooth surfaces. No statistically significant differences were found between the groups. The RRRs showed less caries progression (13.6%, p = 0.20), more regression (0.3%, p = 0.44), and fewer active caries lesions (15.3%, p = 0.15) in the intervention group. CONCLUSION: Daily consumption of a lozenge combining arginine and probiotics for 10-12 months given to 5-9-years-old children characterized being with low caries risk demonstrated a marked, though not statistically significant RRR for caries progression, regression, and number of active lesions in the intervention group compared to the placebo-group. CLINICALTRIALS: gov (NCT03928587). CLINICAL SIGNIFICANCE: Since all the RRRs were in favor of the intervention group and the PF of combined arginine and probiotics is high (81.6%) compared to fluoride toothpaste (24.9%) and arginine-fluoride toothpaste alone (19.6%) the combined pre-and probiotics approach may be a future additional tool regarding caries prevention and control.

Dimensionality assessment in bifactor structures with multiple general factors: A network psychometrics approach.

The accuracy of factor retention methods for structures with one or more general factors, like the ones typically encountered in fields like intelligence, personality, and psychopathology, has often been overlooked in dimensionality research. To address this issue, we compared the performance of several factor retention methods in this context, including a network psychometrics approach developed in this study. For estimating the number of group factors, these methods were the Kaiser criterion, empirical Kaiser criterion, parallel analysis with principal components (PAPCA) or principal axis, and exploratory graph analysis with Louvain clustering (EGALV). We then estimated the number of general factors using the factor scores of the first-order solution suggested by the best two methods, yielding a "second-order" version of PAPCA (PAPCA-FS) and EGALV (EGALV-FS). Additionally, we examined the direct multilevel solution provided by EGALV. All the methods were evaluated in an extensive simulation manipulating nine variables of interest, including population error. The results indicated that EGALV and PAPCA displayed the best overall performance in retrieving the true number of group factors, the former being more sensitive to high cross-loadings, and the latter to weak group factors and small samples. Regarding the estimation of the number of general factors, both PAPCA-FS and EGALV-FS showed a close to perfect accuracy across all the conditions, while EGALV was inaccurate. The methods based on EGA were robust to the conditions most likely to be encountered in practice. Therefore, we highlight the particular usefulness of EGALV (group factors) and EGALV-FS (general factors) for assessing bifactor structures with multiple general factors. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Vaccination with HepB-CpG vaccine in individuals undergoing immune suppressive drug therapy.

BACKGROUND: Immunosuppressed patients are a targeted group for HBV vaccination but suboptimal antibody responses occur when traditional recombinant vaccines are used. METHODS: We tested an FDA approved immune adjuvanted HBV vaccine (HEPLISAV--B® or HepB-CpG) in medically immune suppressed individuals. HepB-CpG was given to 10 patients taking biologic agents or anti-rejection therapy. Each received vaccine at time 0 and week 4 with a third dose at week 12 if anti-HBs remained less than 10 mIU/mL. RESULTS: Seroprotective anti-HBs developed in 70 % of participants by week 24. Those taking biologic agents responded more rapidly and a third dose was generally needed in those transplanted. By week 24, most taking biologics but only 2 of 6 on anti-rejection treatment had antibody levels exceeding 100 mIU/mL. CONCLUSIONS: Seroprotective anti-HBs developed in 70 % with HepB-CpG. Antibody responses were more rapid in those taking biologic agents but a third dose improved antibody responses in transplanted participants.

Outcomes of a modified, low-cost, veno-arterial extracorporeal membrane oxygenation (V-A ECMO) for elective, periprocedural support of high-risk percutaneous cardiac interventions: An experience from a latinamerican center.

INTRODUCTION: High-risk procedures in interventional cardiology include a wide spectrum of clinical and anatomical scenarios related to a higher periprocedural morbidity and mortality. The prophylactic use of short-term mechanical circulatory support (ST-MCS) may improve both the safety and efficacy of the intervention by leading to more stable procedural hemodynamics. However, the significant costs may limit its use in resource constrained settings. To overcome this limitation, we ideated a modified, low-cost, veno-arterial extracorporeal membrane oxygenator (V-A ECMO) setup. METHODS: We conducted an observational prospective study including all patients undergoing a high-risk interventional cardiology procedure at our institution under prophylactic ST-MCS using a modified, low-cost version of V-A ECMO, where some components of the standard V-A ECMO circuit were replaced by supplies used for cardiac surgical cardiopulmonary bypass, achieving a cost reduction of 72%. We assessed in-hospital and mid-term outcomes, including procedural success, post-procedure complications and mortality. RESULTS: Between March 2016 and December 2021, ten patients underwent high-risk IC procedures with prophylactic use of V-A ECMO. Isolated percutaneous intervention (PCI) was performed in six patients, isolated transcatheter aortic valve replacement (TAVR) in two, and a combined procedure (PCI + TAVR) in two. Mean ejection fraction was 34% (range 20-64%). Mean STS PROM was 16.2% (range 9.5-35.8%) and mean EuroScore was 23.7% (range 1.5-60%). The planned intervention was successfully performed in all cases. There were no reports of V-A ECMO malfunction. In nine patients the VA-ECMO was withdrawn immediately after the procedure but one patient required extended - 24 h - support with no significant issues. One patient experienced a periprocedural myocardial infarction and another developed a femoral pseudoaneurysm. In-hospital and 30-day survival were 100%, and 1-year survival was 80%. CONCLUSIONS: High-risk procedures in interventional cardiology can be successfully performed under prophylactic ST-MCS using a modified, low-cost V-A ECMO, suitable for limited-resource settings.

Unique Variable Analysis: A Network Psychometrics Method to Detect Local Dependence.

The local independence assumption states that variables are unrelated after conditioning on a latent variable. Common problems that arise from violations of this assumption include model misspecification, biased model parameters, and inaccurate estimates of internal structure. These problems are not limited to latent variable models but also apply to network psychometrics. This paper proposes a novel network psychometric approach to detect locally dependent pairs of variables using network modeling and a graph theory measure called weighted topological overlap (wTO). Using simulation, this approach is compared to contemporary local dependence detection methods such as exploratory structural equation modeling with standardized expected parameter change and a recently developed approach using partial correlations and a resampling procedure. Different approaches to determine local dependence using statistical significance and cutoff values are also compared. Continuous, polytomous (5-point Likert scale), and dichotomous (binary) data were generated with skew across a variety of conditions. Our results indicate that cutoff values work better than significance approaches. Overall, the network psychometrics approaches using wTO with graphical least absolute shrinkage and selector operator with extended Bayesian information criterion and wTO with Bayesian Gaussian graphical model were the best performing local dependence detection methods overall.

Can We Reliably Detect Respiratory Diseases through Precision Farming? A Systematic Review.

Respiratory diseases commonly affect livestock species, negatively impacting animal's productivity and welfare. The use of precision livestock farming (PLF) applied in respiratory disease detection has been developed for several species. The aim of this systematic review was to evaluate if PLF technologies can reliably monitor clinical signs or detect cases of respiratory diseases. A technology was considered reliable if high performance was achieved (sensitivity > 90% and specificity or precision > 90%) under field conditions and using a reliable reference test. Risk of bias was assessed, and only technologies tested in studies with low risk of bias were considered reliable. From 23 studies included-swine (13), poultry (6), and bovine (4) -only three complied with our reliability criteria; however, two of these were considered to have a high risk of bias. Thus, only one swine technology fully fit our criteria. Future studies should include field tests and use previously validated reference tests to assess technology's performance. In conclusion, relying completely on PLF for monitoring respiratory diseases is still a challenge, though several technologies are promising, having high performance in field tests.

Exploratory Bi-factor Analysis with Multiple General Factors.

Exploratory bi-factor analysis (EBFA) is a very popular approach to estimate models where specific factors are concomitant to a single, general dimension. However, the models typically encountered in fields like personality, intelligence, and psychopathology involve more than one general factor. To address this circumstance, we developed an algorithm (GSLiD) based on partially specified targets to perform exploratory bi-factor analysis with multiple general factors (EBFA-MGF). In EBFA-MGF, researchers do not need to conduct independent bi-factor analyses anymore because several bi-factor models are estimated simultaneously in an exploratory manner, guarding against biased estimates and model misspecification errors due to unexpected cross-loadings and factor correlations. The results from an exhaustive Monte Carlo simulation manipulating nine variables of interest suggested that GSLiD outperforms the Schmid-Leiman approximation and is robust to challenging conditions involving cross-loadings and pure items of the general factors. Thereby, we supply an R package (bifactor) to make EBFA-MGF readily available for substantive research. Finally, we use GSLiD to assess the hierarchical structure of a reduced version of the Personality Inventory for DSM-5 Short Form (PID-5-SF).

Targeting VCAM-1: a therapeutic opportunity for vascular damage.

INTRODUCTION: The vascular cell adhesion molecule (VCAM-1) is a transmembrane sialoglycoprotein detected in activated endothelial and vascular smooth muscle cells involved in the adhesion and transmigration of inflammatory cells into damaged tissue. Widely used as a pro-inflammatory marker, its potential role as a targeting molecule has not been thoroughly explored. AREAS COVERED: We discuss the current evidence supporting the potential targeting of VCAM-1 in atherosclerosis, diabetes, hypertension and ischemia/reperfusion injury. EXPERT OPINION: There is emerging evidence that VCAM-1 is more than a biomarker and may be a promising therapeutic target for vascular diseases. While there are neutralizing antibodies that allow preclinical research, the development of pharmacological tools to activate or inhibit this protein are required to thoroughly assess its therapeutic potential.

How do dental practitioners, educators and students diagnose and manage caries risk and caries lesions? A COM-B analysis.

OBJECTIVE: The International Caries Classification and Management System (ICCMS™), a comprehensive, evidence-informed, best clinical practice system, comprises a 4D cycle: 1D-Determine risk; 2D-Detect and assess lesions; 3D-Decide on a personalized care plan; and 4D-Do preventive and tooth-preserving care. The aim of this study was to establish how Colombian dental practitioners, educators and students diagnose and manage caries risk and caries lesions using the COM-B model and the ICCMS™ system. METHODS: A total of 1094 participants (practitioners: n = 277; educators: n = 212; students: n = 605) completed a previously validated 79-item questionnaire which explores, based on the COM-B model, the practitioners' self-reported caries diagnosis and management behaviours. Descriptive statistics, Welch's ANOVAs and multiple linear regressions were computed. RESULTS: All groups generally performed the behaviours within the 4-D categories 'Most of the time' to 'Always' (students: 4.06 ± 0.95; educators: 3.94 ± 0.98; practitioners: 3.86 ± 1.01). The most frequently performed diagnosis behaviours (1D/2D) were for practitioners assessing initial/moderate lesions (4.09 ± 1.01) and for educators and students cleaning teeth before lesion assessment (4.41 ± 0.80 and 4.38 ± 0.77 respectively). The least frequently performed decision/management (3D/4D) behaviour was non-operative care for moderate-caries lesions (when applicable) (practitioners: 2.64 ± 1.23; educators: 2.68 ± 1.17; students: 3.22 ± 1.41). Opportunity (Resources and Relevance) was the best COM-B predictor for diagnostic behaviours, whereas capability and opportunity (Relevance) were the strongest predictors for management behaviours. CONCLUSION: Colombian practitioners, educators and students diagnose and manage caries risk and caries lesions implementing best practice with a high to very high frequency.

Ontogeny and anatomy of Bouteloua (Poaceae: Chloridoideae) species display a basipetal branch formation and a novel modified leaf structure in grasses.

BACKGROUND AND AIMS: Shoot ontogenesis in grasses follows a transition from a vegetative phase into a reproductive phase. Current studies provide insight into how branch and spikelet formation occur during the reproductive phase. However, these studies do not explain all the complex diversity of grass inflorescence forms and are mostly focused on model grasses. Moreover, truncated inflorescences of the non-model grass genus Urochloa (Panicoideae) with formation of primary branches have basipetal initiation of branches. Bouteloua species (Chloridoideae) are non-model grasses that form truncated inflorescences of primary branches with apical vestiges of uncertain homology at the tips of branching events and sterile florets above the lowermost fertile floret. Sterile florets are reduced to rudimentary lemmas composed of three large awns diverging from an awn column. Conflict about the awn column identity of this rudimentary lemma is often addressed in species descriptions of this genus. We test if Bouteloua species can display basipetal initiation of branches and explore the identity of vestiges and the awn column of rudimentary lemmas. METHODS: We surveyed the inflorescence ontogeny and branch/awn anatomy of Bouteloua species and compared results with recent ontogenetic studies of chloridoids. KEY RESULTS: Bouteloua arizonica has florets with basipetal maturation. Branches display basipetal branch initiation and maturation. Branch vestiges are formed laterally by meristems during early branching events. The spikelet meristem forms the awn column of rudimentary lemmas. Vestiges and sterile floret awns have anatomical similarities to C4 leaves. CONCLUSIONS: Basipetal initiation of branches is a novel feature for Chloridoideae grasses. Branch vestiges are novel vegetative grass structures. Sterile floret awn columns are likely to be extensions of the rachilla.

Acute Symptomatic Free-Floating Thrombus in the Innominate Artery, a Case Series.

BACKGROUND: Innominate artery embolism may result in upper extremity ischemia or stroke. A free-floating thrombus originating from the IA is an unusual and dangerous disorder with embolic potential. Only isolated cases have been described showing different treatment modalities. PURPOSE: To present 3 cases of free-floating thrombus in the IA treated at our institution with 3 different approaches. CASES: The first case is a patient with a free-floating thrombus in the IA treated with cervical debranching and ligation of the proximal right carotid artery; another case of a patient treated with a hybrid approach with deployment of an iliac limb in the IA plus right carotid to subclavian bypass; and a third case of a patient operated by open arch thrombectomy. CONCLUSIONS: Free-floating thrombus in the IA is a threatening condition feasible to be managed through different customized surgical approaches in specialized centers.

Focusing on cybersickness: pervasiveness, latent trajectories, susceptibility, and effects on the virtual reality experience.

Although virtual reality (VR) usage has become widespread in the last decade, its adoption has been hampered by experiences of user discomfort known as cybersickness. The present study, in line with the "2020 cybersickness R&D agenda", sought to provide a broad examination of the cybersickness phenomenon, assessing its pervasiveness, latent trajectories, impacts on the VR experience, and predictor variables. The study was composed of 92 participants living in the Dominican Republic with ages ranging from 18 to 52 years (M = 26.22), who experienced a 10-min VR immersion in two environments designed for psychotherapy. The results indicated that cybersickness was pervasive, with 65.2% of the participants experiencing it, and 23.9% severely. Additionally, the latent trajectories of cybersickness were positive and curvilinear, with large heterogeneity across individuals. Cybersickness also had a substantive negative impact on the user experience and the intentions to adopt the VR technology. Finally, motion sickness susceptibility, cognitive stress, and recent headaches uniquely predicted greater severity of cybersickness, while age was negatively related. These combined results highlight the critical role that cybersickness plays on the VR experience and underscore the importance of finding solutions to the problems, such as technological advancements or special usage protocols for the more susceptible individuals. Supplementary Information: The online version contains supplementary material available at 10.1007/s10055-022-00636-4.

Construyendo test adaptativos de elección forzosa “On The Fly” para la medición de la personalidad / Building adaptive forced choice tests “On The Fly” for personality measurement

Los nuevos desarrollos metodológicos y tecnológicos de la última década permiten resolver, o al menos atenuar, los problemas psicométricos de los test de elección forzosa (EF) para la medición de la personalidad. En estas pruebas, a la persona evaluada se le muestran bloques de dos o más frases de parecida deseabilidad social, entre las que debe elegir aquella que le represente mejor. De esta manera, los test de EF buscan reducir los sesgos de respuesta en pruebas de autoinforme. No obstante, su uso no está exento de riesgos y complicaciones si no se elaboran adecuadamente. Afortunadamente, los nuevos modelos psicométricos permiten modelar las respuestas en este tipo de test, así como optimizar su construcción. Más aún, permiten la construcción de Test Adaptativos Informatizados de EF (TAI-EF) “on-the-fiy”, en los que cada bloque se construye en el mismo momento de aplicación, emparejando óptimamente las frases de un banco previamente calibrado.(AU)

The new methodological and technological developments of the last decade make it possible to resolve or, at least, attenuate the psychometric problems of forced-choice (FC) tests for the measurement of personality. In these tests, the person being tested is shown blocks of two or more sentences of similar social desirability, from which he or she must choose which one best represents him or her. Thus, FC tests aim to reduce response bias in self-report questionnaires. However, their use is not without risks and complications if they are not created properly. Fortunately, new psychometric models make it possible to model responses in this type of test and to optimize their construction. Moreover, they allow the construction of “on the fly” computerized adaptive FC tests (CAT-FC), in which each item is constructed on the spot, optimally matching sentences from a previously calibrated bank.(AU)