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At least 19 recordsLinked to original sources
PubMed2026

Using the OPTIMAL Theory to Optimize Aerodynamics in Respiratory Training for Healthy Adults and Individuals With Parkinson's Disease.

BACKGROUND: The OPTIMAL (Optimizing Performance Through Intrinsic Motivation and Attention for Learning) theory is a motor learning framework proposing that optimizing intrinsic motivation enhances motor performance and learning. The theory identifies three key components-Enhanced Expectancies (EE), Autonomy Support (AS) and External Focus of Attention (EF)-which facilitate more efficient, goal-directed movement. These components have been shown to improve motor outcomes in limb-based tasks; however, their application to respiratory training, particularly in clinical contexts such as voice and swallowing therapy in patients with Parkinson's disease (pwPD), has not yet been systematically explored. AIMS: This study aimed to investigate whether implementing OPTIMAL theory strategies during a respiratory muscle strength training (RMST) task improves immediate respiratory motor performance in healthy adults and pwPD. Additionally, we aimed to examine the effects of these strategies on motivation and cognitive engagement. METHODS: This quasi-randomized, single-session trial included 47 participants: Healthy CONTROL (n = 17), Healthy OPTIMAL (n = 16) and PD OPTIMAL (n = 14). Healthy participants were quasi-randomly assigned to either intervention or control conditions, whereas pwPD completed the intervention only. All participants completed a single respiratory session that included baseline, practice and retention phases. Outcome measures included peak expiratory flow, cough peak expiratory flow, cognitive engagement (EEG-based Cognitive Engagement Index) and self-administered motivation questionnaire. OUTCOMES AND RESULTS: Exhalation force improved from baseline to retention in the Healthy OPTIMAL group (baseline: M = 296 L/min; retention: M = 338 L/min; p < 0.001) and the PD OPTIMAL group (baseline: M = 315 L/min; retention: M = 370 L/min; p < 0.0001), but not in the Healthy CONTROL group (p > 0.05). No significant changes in cough strength were observed in any group. No correlations were found between cognitive engagement and exhalation force or motivation scores. However, motivation increased more in the Healthy OPTIMAL group (Questionnaire 1: M = 57.2; Questionnaire 2: M = 60.7) and the PD OPTIMAL group (Questionnaire 1: M = 60.1; Questionnaire 2: M = 62.8) than in the Healthy CONTROL group (Questionnaire 1: M = 61.1; Questionnaire 2: M = 62.5). CONCLUSIONS AND IMPLICATIONS: Implementing the OPTIMAL theory enhances immediate respiratory motor performance in both healthy participants and pwPD. OPTIMAL theory has clinical value in voice and swallowing therapy, although further research is needed to establish long-term efficacy and clinical impact. WHAT THIS PAPER ADDS: What is already known on the subject Motivation is a critical factor in rehabilitation. The OPTIMAL theory has been shown to improve both motivation and motor performance in limb-based tasks. Its impact on respiratory training, however, has not been previously examined. What this paper adds to the existing knowledge This study shows that applying OPTIMAL strategies during a respiratory muscle strength training task significantly improved peak expiratory flow in both healthy adults and people with Parkinson's disease. What are the potential or clinical implications of this work? Integrating the OPTIMAL theory principles into respiratory therapy may enhance motor outcomes, supporting voice, swallowing and cough rehabilitation.

Humans↗
PubMed1977

[Principles for optimizing and guaging several processes in the technology of vaccine production. I. Several problems in guaging and optimizing thermal sterilization of fluids].

Thermal sterilization of fluids--one of the widespread operations in microbiological laboratories and in vaccine production--solves two tasks: provides sterility and maximal preservation of biological value of the sterilized fluid. A possibility and expediency of using some indices for the quantitative assessment of the efficacy of the sterilization regimens, including measurement of the sterilization processes is considered in this work. A possible way of the regimen optimization on the basis of known values of the activation energies of the processes of decomposition of thermolabile components and inactivation of foreign microbial flora is assessed.

Hot Temperature↗
PubMed1978

[Principles of optimization and scaling of certain processes in the vaccine production technology. 3. Method of determination of the optimal method of thermal sterilization of sugar solutions].

One of the most widespread methods of thermal sugar sterilization is the use of saturated water vapour under pressure in the capacity of heat source. Guaranteed sterility of solutions should be reached under conditions providing the least sugar splitting. However, in practice the integral effect of the thermal field on the solution is as a rule not taken into consideration. A new calculation method permitting to determine the amount of sugar split in the varying thermal field.

Carbohydrates↗
PubMed1977

A model of optimal voluntary muscular control.

In the absence of detailed knowledge of how the CNS controls a muscle through its motor fibers, a reasonable hypothesis is that of optimal control. This hypothesis is studied using a simplified mathematical model of a single muscle, based on A.V. Hill's equations, with series elastic element omitted, and with the motor signal represented by a single input variable. Two cost functions were used. The first was total energy expended by the muscle (work plus heat). If the load is a constant force, with no inertia, Hill's optimal velocity of shortening results. If the load includes a mass, analysis by optimal control theory shows that the motor signal to the muscle consists of three phases: (1) maximal stimulation to accelerate the mass to the optimal velocity as quickly as possible, (2) an intermediate level of stimulation to hold the velocity at its optimal value, once reached, and (3) zero stimulation, to permit the mass to slow down, as quickly as possible, to zero velocity at the specified distance shortened. If the latter distance is too small, or the mass too large, the optimal velocity is not reached, and phase (2) is absent. For lengthening, there is no optimal velocity; there are only two phases, zero stimulation followed by maximal stimulation. The second cost function was total time. The optimal control for shortening consists of only phases (1) and (3) above, and is identical to the minimal energy control whenever phase (2) is absent from the latter. Generalization of this model to include viscous loads and a series elastic element are discussed.

Biophysical Phenomena↗
PubMed1975

Application of modified Rosenbrock's method for optimization of nutrient media used in microorganism culturing.

The Rosenbrock's procedure has been modified for optimization of nutrient medium composition and has been found to be less tedious than the Box-Wilson method, especially for larger numbers of optimized parameters. Its merits are particularly obvious with multiparameter optimization where the gradient method, so far the only one employed in microbiology from a variety of optimization methods (e.g., refs, 9 and 10), becomes impractical because of the excessive number of experiments required. The method suggested is also more stable during optimization than the gradient methods which are very sensitive to the selection of steps in the direction of the gradient and may thus easily shoot out of the optimized region. It is also anticipated that other direct search methods, particularly simplex design, may be easily adapted for optimization of medium composition. It is obvious that direct search methods may find an application in process improvement in antibiotic and related industries.

Culture Media↗
PubMed2025

Optimizing participant and community engagement in cancer genomic sequencing research.

PURPOSE: We describe strategies implemented across research centers of the Participant Engagement and Cancer Genome Sequencing (PE-CGS) Network to optimize engagement of participants and communities in cancer genomics research. We also present consensus definitions of engagement and engagement optimization, informed by our shared experiences in the Network. METHODS: Key informant interviews and a document review identified engagement and optimization strategies across PE-CGS research centers. Findings were synthesized using qualitative content analysis. Consensus on definitions of engagement and optimization were developed through iterative review by PE-CGS members. RESULTS: PE-CGS research centers adopted tailored strategies based on community needs and scientific gaps. Engagement strategies included community-based efforts (eg, advisory boards and newsletters) and participant-focused approaches (eg, enhanced informed consent and decision support tools). Optimization strategies leveraged scientific methods (eg, randomized controlled trials and surveys) to evaluate engagement. Engagement was described as the sustained and meaningful interactions between researchers, participants, and communities. Optimization was described as the application of scientific methods to refine and improve engagement and research processes and outcomes. CONCLUSION: Engagement and optimization strategies have informed research planning, conduct, and dissemination across PE-CGS. These approaches and definitions provide a foundation for developing evidence-based practices to strengthen participant and community involvement in cancer genomics research.

Humans↗
PubMed2026

Theseus: fast and optimal affine-gap sequence-to-graph alignment.

MOTIVATION: Sequence-to-graph alignment is a central problem in bioinformatics, with applications in multiple sequence alignment (MSA) and pangenome analysis, among others. However, current algorithms for optimal affine-gap alignment impose high memory and computational requirements, limiting their scalability to aligning long sequences to complex graphs. Practical solutions partially address this problem using heuristic strategies that ultimately trade off optimality for speed. RESULTS: This work presents Theseus, a novel, fast, and optimal affine-gap sequence-to-graph alignment algorithm. Theseus leverages similarities between genomic sequences to accelerate the alignment computation and reduces the overall memory requirements without compromising optimality. To that end, Theseus processes only a subset of the dynamic programming cells, using a sparse-data strategy that enables efficient sequence-to-graph alignment. Moreover, our algorithm supports optimal affine-gap alignment on arbitrary directed graphs, including those with cycles. We evaluate Theseus on two key problems: MSA and pangenome read mapping. For MSA, we compare it against SPOA, abPOA, and POASTA. Theseus is 1.6&#xd7; to 17.6&#xd7; faster than POASTA, and 7.3&#xd7; faster, on average, than SPOA, both optimal aligners. Compared with abPOA, Theseus ensures optimality and scales to the largest problems. For pangenome read mapping, we benchmark Theseus against the alignment stage of the mapping tool vg map, along with the alignment kernels of SPOA, abPOA, and POASTA. Theseus outperforms the other methods, showing a 1.9&#xd7; to 16.9&#xd7; speedup on short reads. Moreover, Theseus is 1.5&#xd7; to 36.3&#xd7; faster than vg when aligning against synthetic cyclic graphs. AVAILABILITY AND IMPLEMENTATION: Theseus code and documentation are publicly available at https://github.com/albertjimenezbl/theseus-lib.

Algorithms↗
PubMed2026

Dispositional optimism and open-label placebo responses in hair cortisol concentrations and psychological distress-A randomized controlled trial.

Open-label placebo (OLP) treatments show beneficial effects on various health-related outcomes, but studies investigating OLP effects on physiological measures remain scarce. This randomized controlled trial examined the effect of a 4-week OLP intervention on psychological distress and hair cortisol concentrations (HCC) in 202 healthy university students preparing for mandatory oral exams and whether dispositional optimism moderates the OLP effects. Participants were randomly assigned to an OLP or control group. Psychological distress was repeatedly assessed via negative affect, test anxiety, and subjective stress. HCC was measured before and within the intervention. Treatment expectations were additionally examined in interaction with optimism. Results show that OLPs significantly reduced psychological distress and HCC compared to the controls. Optimism moderated the OLP effect on HCC, with less optimistic individuals demonstrating the strongest reduction, independent of expectation. Optimism did not moderate OLP effects in psychological distress. However, the OLP effect on psychological distress depended on the three-way interaction of group, optimism, and expectation. The results suggest that OLPs alleviate the psychophysiological impact of a real-life stressor and indicate that optimism and expectation differently shape psychological and physiological OLP responses. These findings are discussed within the framework of the interactionist perspective.

Humans↗
PubMed2026

A reinforcement learning-enhanced fuzzy multi-objective equilibrium optimization framework for multiple sequence alignment.

Multiple sequence alignment (MSA) is a fundamental task in bioinformatics, underpinning comparative genomics, structural analysis, and evolutionary inference. However, MSA remains a challenging multi-objective optimization problem due to the need to simultaneously maximize alignment accuracy, preserve conserved regions, and control gap proliferation, particularly in large and heterogeneous sequence collections. In this work, we propose MOFSACEO-MSA, a novel hybrid optimization framework for multiple sequence alignment that integrates a fuzzy multi-objective evaluation scheme with the Equilibrium Optimizer (EO) and a Soft Actor-Critic (SAC)-based adaptive control mechanism. The proposed framework formulates MSA as a dynamic multi-objective optimization problem, in which alignment quality is assessed using complementary residue-level and column-level criteria, including Sum-of-Pairs score, column conservation, entropy, and gap statistics. Fuzzy membership functions are employed to harmonize competing objectives into a unified optimization landscape, while EO provides robust global exploration. To further enhance adaptability, SAC dynamically regulates key EO parameters during the search process, enabling an effective balance between exploration and exploitation across datasets of varying size and heterogeneity. Extensive experiments werew conducted on diverse biological sequence datasets, with a primary focus on RNA benchmarks, including structured families from Rfam, large-scale repositories from RNAcentral and GenBank, and organism-specific tRNA datasets from GtRNAdb. Comparative evaluations against classical alignment tools (ClustalW, MAFFT, MUSCLE, PRANK, KAlign, and T-Coffee), metaheuristic methods (SAGA, Sequoya and EAFSA), and a reinforcement learning-based approach (RLALIGN) demonstrate that MOFSACEO-MSA consistently achieves competitive or superior Sum-of-Pairs scores while significantly reducing gap proportions and maintaining compact alignment lengths. Notably, the proposed framework exhibits improved robustness on large and highly heterogeneous datasets, where existing methods often suffer from excessive gap insertion or unstable convergence. Overall, MOFSACEO-MSA provides a flexible and extensible optimization paradigm that effectively bridges evolutionary search and reinforcement learning for high-quality multiple sequence alignment, with demonstrated effectiveness on challenging RNA alignment tasks.

Sequence Alignment↗
PubMed1978

Experimental optimization of the detection limit of one-step solid-phase radioimmunoassay.

The minimal detection limit and the conditions of maximal sensitivity of a one-step solid-phase inhibition radioimmunoassay for human immunoglobulin A have been determined by application of statistical methods of experimental optimization. The choice of the optimal combination of qualitative variables, such as the origin of the antibody and the nature of the solid phase, was made by the study of a covariable under non-optimal conditions of the quantitative variables, such as the amount of antibody. The covariable was the avidity of the antibody, which is expected to have a large influence on the sensitivity. Only the difference in avidity between two immunosorbents with cellulose or Sepharose as solid-phase material proved to be statistically significant, and further study was done with cellulose. The experimental optimization of the sensitivity as a function of five quantitative variables yielded a reduction of the detection limit by a factor 5.6 (from 23.5 to 4.2 ng IgA). The variables determining the amount of insolubilized antibody in the assay had the largest influence on the value of the detection limit. The conditions of optimal sensitivity did agree with the predictions by a physical model of radioimmunoassay. The results are discussed in relation to the assay parameters such as the amount and the avidity of the insolubilized antibody and the initial percentage of binding, and in relation with theoretical optimization of the sensitivity.

Animals↗
PubMed1975

Determination of optimal time lapse for recall of patients in an incremental dental care program.

The study was designed to determine the optimal recall interval for persons, ages 5 to 19 years, in the Indian Health Service dental care program and to determine the optimal number of persons to whom maintenance care could be provided at various recall intervals. Analyses used to determine the optimal number of persons and the optimal recall period are described. As expected, the number of services required increased as the maintenance interval increased. The maximum number of persons can be treated on a recall period of 25 to 27 months, but during this time persons 5 to 9 years old had significant increases in the number of services required. Therefore, the optimal recall interval for persons in this age group is to 10 to 12 months. The optimal recall interval for persons 10 to 14 years old is 25 to 27 months, and for persons 15 to 19 years old, 22 to 24 months.

Adolescent↗
PubMed1975

[The evaluation of the postmortem body weight with special reference to the optimal weight (author's transl)].

The investigation was based on 405 men and 482 women. In all cases the optimal weight depending on the metric index and the body weight estimated by means of the Brocaindex was calculated. The comparison of all data revealed the following: 1. Persons deceased have always a lower body weight than living persons of equal age, constitution and sex independant of the method used. That means that diagnosis of generalized adipositas is more difficult in persons autopsied than in persons living. 2. The calculation of the optimal weight and of the Brocaindex does not yield the same results. In the majority of the cases the optimal weight is lower. Therefore, the pathologist must know which method of evaluation of body weight the clinician used. 3. The optimal weight depends on the constitution. This applies to persons deceased as well as living. 4. There is a statistical correlation between postmortem optimal weight and basic disease. For the dicision whether generalized adipositas or extreme cachexia being the cause of death the optimal weight should be considered.

Adult↗
PubMed2026

Sequence optimization targeting mRNA stability enhances monoclonal antibody titers in CHO cells.

This study presents a DNA sequence optimization approach that integrates mRNA stability as a tunable design parameter to enhance monoclonal antibody expression in Chinese hamster ovary (CHO) cells. A comprehensive combinatorial library of synonymous coding-sequence variants of an IgG1 light chain was integrated as single copies at a defined genomic locus in CHO cells with identical regulatory elements. Steady-state mRNA abundance, quantified by deep sequencing of gDNA and mRNA, served as a proxy for mRNA stability. These data were used to train a machine learning model that predicts mRNA abundance from coding sequence using embeddings from a pre-trained nucleotide transformer. This abundance predictor, together with established translational metrics, was incorporated into a genetic algorithm for multi-objective codon optimization. As proof-of-concept, we optimized sequences encoding Trastuzumab to either maximize or minimize the abundance criterion and obtained benchmark sequences from two commercial providers. Using targeted integration, we generated CHO cell lines and measured protein titer and cell-specific productivity. Sequences optimized for high abundance significantly increased intracellular mRNA levels (+41%), protein titer (+59%), and cell-specific productivity (+85%) relative to low-abundance designs, while viable cell densities remained comparable. Compared to commercial benchmarks, high-abundance sequences achieved significantly higher titer (+70%) and cell-specific productivity (+98%). These findings establish mRNA stability as a practical and complementary design parameter for codon optimization in monoclonal antibody production, with potential applicability to other proteins and expression systems.

CHO↗
PubMed1979

Some factors determining the concentration of liver proteins for optimal mutagenicity of chemicals in the Salmonella/microsome assay.

In plate assays in the presence of S. typhimurium TA100 and various amounts of liver 9000 X g supernatant (S9) from either untreated, phenobarbitone- (PB) or Aroclor-treated rats, the S9 concentration required for optimal mutagenicity of aflatoxin B1 (AFB) depended both on the source of S9 and on the concentration of the test compound. In these assays, the water-soluble procarcinogen, dimethylnitrosamine (DMN) was mutagenic in S. typhimurium TA1530 only in the presence of a 35-fold higher concentration of liver S9 from PB-treated rats than that required for AFB, a lipophilic compound. In liquid assays, a biphasic relationship was observed in the mutagenicities in S. typhimurium TA100 of benzo[a]pyrene (BP) and AFB and the concentration of liver S9. For optimal mutagenesis of BP, the concentration of liver S9 from rats treated with methylcholanthrene (MC) was 4.4% (v/v); for AFB it was 2.2% (v/v) liver S9 from either Aroclor-treated or untreated rats. At higher concentrations of S9 the mutagenicity of BP and of AFB was related inversely to the amount of S9 per assay. The effect of Aroclor treatment on the microsomemediated mutagenicity of AFB was assay-dependent: in the liquid assay, AFB mutagenicity was decreased, whereas in the plate assay it did not change or was increased. As virtually no bacteria-bound microsomes were detected by electron microscopy, after the bacteria had been incubated in a medium containing 1-34% (v/v) MC-treated rat-liver S9, it is concluded that, in mutagenicity assays, mutagenic metabolites generated by microsomal enzymes from certain pro-carcinogens have to diffuse through the assay medium before reaching the bacteria. Thus the mutagenicity of BP was dependent on both the concentration of rat-liver microsomes and that of total cytosolic proteins and other soluble nucleophiles such as glutathione. At a concentration of 4.4% (v/v) liver S9, the mutagenicity of BP was about 3.6 times higher than in assays containing a 4-fold higher concentration of cytosolic fraction. Studies on the glutathione-dependent reduction of BP mutagenicity in plate assays has shown that, in the presence of liver S9 concentrations greater than that required for optimal mutagenicity, the reduction in mutagenicity was related directly to the concentration of liver S9. Thus, in the Salmonella/microsome assay, when the concentration of rat-liver S9 was increased over and above the amount required for the optimal mutagenicity of BP, the mutagenic metabolites of BP were inactivated (by being trapped with cytosolic nucleophiles and/or by enzymic conjugation with glutathione); this effect increased more rapidly than their rate of formation. The concentration of liver S9 for optimal mutagenicity of test compounds requiring activation catalyzed by mono-oxygenases seems, therefore, to be related to the departure from linearity of the relationship between the rate of formation of mutagenic metabolites and the concentration of liver S9.

Aflatoxins↗
PubMed2026

Impact of transfection optimization on adeno-associated virus purification performance and vector quality.

Recombinant adeno-associated virus (rAAV) has shown great promise as a viral vector for gene therapy. However, efficient manufacture of high-quality rAAV to meet clinical demands remains challenging. Here, we optimized rAAV production via a design of experiments (DoE) approach to evaluate the effects of five transfection parameters on vector genome titer, full particle ratio (FE ratio), and viral protein (VP) stoichiometry. The DoE model showed that no single set of transfection conditions could maximize all three responses simultaneously. Subsequently, the materials from DoE-optimized transfections were purified by affinity chromatography followed by anion exchange chromatography (AEX). We observed that AEX recovery declined when capsid loading was high, a situation caused by the combination of high titer with low FE ratio, reducing some of the gains in titer achieved by transfection optimization. Furthermore, AEX had limited capacity to enrich full particles from materials with a very low initial FE ratio. Finally, materials from DoE-optimized transfections showed improved transduction efficiency, which was associated with the ratios of VP1 and VP2 to total VP in the capsid. Overall, this study demonstrates that transfection-derived quality attributes affect purification outcomes and overall vector quality. Our findings highlight the necessity of strategically balancing multiple quality attributes during transfection optimization and provide insights for integrated upstream transfection and downstream purification development.

Adeno-associated virus↗
PubMed1977

Determination of optimal continuous positive airway pressure for the treatment of IRDS by measurement of esophageal pressure.

We describe a simple and reliable method to determine optimal airway pressure in infants with idiopathic respiratory distress syndrome who require continuous positive airway pressure treatment. Esophageal pressure was monitored in ten infants with IRDS during initial application of CPAP. As the level of CPAP was increased in 2 cm H2O increments, changes in Pes were compared with changes in PaO2. Below optimal airway pressure, Pes as well as PaO2 increased insignificantly. When optimal airway pressure (8.1 +/- 0.8 cm H2O) was applied, there was a marked increase in Pes (3.6 +/- 0.8 cm H2O. p less than 0.001) and PaO2 (39.0 +/- 10.0 mm Hg, p less than 0.01). Further increase in CPAP did not result in any subsequent appreciable increase in Pes while PaO2 decreased slightly and PaCO2 increased. Less than optimal CPAP increases F102 requirements and may increase the associated risk of bronchopulmonary dysplasia, while excessive levels of CPAP may increase the risk of pneumothorax. We suggest that esophageal pressure be monitored routinely to determine the optimal level of CPAP for each infant during the initial application of therapy.

Carbon Dioxide↗