Ear Model Research Articles

From Simulations to Inference: Using Machine Learning to Tune Patient-Specific Finite-Element Models of the Middle Ear Towards Objective Diagnosis.

Computational models, particularly finite-element (FE) models, are essential for interpreting experimental data and predicting system behavior, especially when direct measurements are limited. A major challenge in tuning these models is the large number of parameters involved. Traditional methods, such as one-by-one sensitivity analyses, are time-consuming, subjective, and often return only a single set of parameter values, focusing on reproducing averaged data rather than capturing the full variability of experimental measurements. In this study, we applied simulation-based inference (SBI) using neural posterior estimation (NPE) to tune an FE model of the human middle ear. The training dataset consisted of 10,000 FE simulations of stapes velocity, ear-canal (EC) input impedance, and absorbance, paired with seven FE parameter values randomly sampled within plausible ranges. The neural network learned the association between parameters and simulation outcomes, returning the probability distribution of parameter values that can reproduce experimental data. Our approach successfully identified parameter sets that reproduced three experimental datasets simultaneously. By accounting for experimental noise and variability during training, the method provided a probability distribution of parameters, representing all valid combinations that could fit the data, rather than tuning to averaged values. The network demonstrated robustness to noise and exhibited an efficient learning curve due to the large training dataset. SBI offers an objective alternative to laborious sensitivity analyses, providing probability distributions for each parameter and uncovering interactions between them. This method can be applied to any biological FE model, and we demonstrated its effectiveness using a middle-ear model. Importantly, it holds promise for objective differential diagnosis of conductive hearing loss by providing insight into the mechanical properties of the middle ear.

Utilizing an Ex Vivo Skin Penetration Analysis Model for Predicting Ocular Drug Penetration: A Feasibility Study with Curcumin Formulations

Objective: This study aimed to investigate the feasibility of using the digital image processing technique, developed to semi-quantitatively study dermal penetration, to study corneal penetration in an ex vivo porcine eye model. Here, we investigated various formulation strategies intended to enhance dermal and corneal bioavailability of the model hydrophobic drug, curcumin. Methods: Several formulation principles were explored, including oily solutions, oily suspensions, aqueous nanosuspension, micelles, liposomes and cyclodextrins. The dermal penetration efficacy was tested using an ex vivo porcine ear model previously developed at Philipps-Universität Marburg with subsequent digital image processing. This image analysis method was further applied to study corneal penetration using an ex vivo porcine whole-eye model. Results: For dermal penetration, oily solutions, oily suspensions and nanosuspensions exhibited the least penetration, whereas liposomes and cyclodextrins showed enhanced penetration. Corneal curcumin penetration correlated with dermal penetration, with curcumin loaded into cyclodextrins penetrating the deepest. Conclusions: Overall, our study suggests that the image analysis method previously developed for ex vivo skin penetration can easily be repurposed to study corneal penetration of hydrophobic drugs.

Influence of the cochlear partition’s flexibility on the macro mechanisms in the inner ear

Recent studies have highlighted the anatomy of the cochlear partition (CP), revealing insights into the flexible nature of the osseous spiral lamina (OSL) and the existence of a flexible cochlear partition bridge (CPB) between the OSL and the basilar membrane (BM). However, most existing inner ear models treat the OSL as a rigid structure and ignore the CPB, neglecting their potential impact on intracochlear sound pressure and motion of the BM. In this paper, we investigate the effect of the CP’s flexibility by including the OSL and CPB as either rigid or flexible structures in a numerical anatomical model of the human inner ear. Our findings demonstrate that the flexibility of the OSL and the presence of the CPB significantly affect cochlear macro mechanisms, including differential intracochlear sound pressure, resistive behavior in cochlear impedances, CP stiffness, and BM velocity. These results emphasize the importance of considering the flexibility of the entire CP to enhance our understanding of cochlear function and to accurately interpret experimental data on inner ear mechanics.

Otolaryngology Simulation Curriculum Development and Evaluation for Medical Education in Rwanda.

This study aimed to assess the feasibility and acceptability of a new low-cost otolaryngology simulation training curriculum for medical students in Rwanda. Given the limited access to hands-on training and equipment in low-middle-income countries, building confidence in performing basic otolaryngology skills is vital for all medical students, especially where all graduates initially serve in primary care before specializing. Preintervention and postintervention assessments of simulation training. Conducted at the University of Global Health Equity in Rwanda. The simulation program comprised 3 primary components: (1) a low-cost, moderate-fidelity model for cricothyrotomy and tracheostomy practice, (2) a low-cost, low-fidelity ear model for foreign body and cerumen removal, and a high-fidelity manikin for practicing, (3) epistaxis management, and (4) nasal foreign body removal. Students underwent pretest and posttest assessments measuring their knowledge, experience, perceived skill, and confidence in performing these procedures. A survey collected feedback on the program. A total of 29 medical students participated in the simulation program, integrated into a 1-week otolaryngology "boot camp" preceding a 3-week clerkship rotation. All models were created using basic, locally available materials, at a total cost of $1.02 for cricothyrotomy and $0.20 for foreign body models. Knowledge and perceived confidence increased for all 3 simulations. All students found the simulations useful, enjoyable, and anticipated using these skills in future training. The study's results demonstrated that the low-cost otolaryngology simulation was well-received and enhanced knowledge, interest, and confidence in performing basic otolaryngology skills across all simulations.

Classification of ossicular fixation based on a computational simulation of ossicular mobility

Ossicular fixation disturbs the mobility of the ossicular chain and causes conductive hearing loss. To diagnose the lesion area, otologists typically assess ossicular mobility through intraoperative palpation. Quantification of ossicular mobility and evidence-based diagnostic criteria are necessary for accurate assessment of each pathology, because diagnosis via palpation can rely on the surgeons’ experiences and skills. In this study, ossicular mobilities were simulated in 92 pathological cases of ossicular fixation as compliances using a finite-element (FE) model of the human middle ear. The validity of the ossicular mobilities obtained from the FE model was verified by comparison with measurements of ossicular mobilities in cadavers using our newly developed intraoperative ossicular mobility measurement system. The fixation-induced changes in hearing were validated by comparison with changes in the stapedial velocities obtained from the FE model with measurements reported in patients and in temporal bones. The 92 cases were classified into four groups by conducting a cluster analysis based on the simulated ossicular compliances. Most importantly, the cases of combined fixation of the malleus and/or the incus with otosclerosis were classified into two different surgical procedure groups by degree of fixation, i.e., malleo-stapedotomy and stapedotomy. These results suggest that pathological characteristics can be detected using quantitatively measured ossicular compliances followed by cluster analysis, and therefore, an effective diagnosis of ossicular fixation is achievable.

The effectiveness of antimicrobial photodynamic therapy on catheter infection model

Background/AimThis experimental study aimed to examine the effectiveness of transdermal antimicrobial photodynamic therapy (APDT) with and without antimicrobial lock therapy (ALT), on catheter biofilms. MethodsS. epidermidis and C. orthopsilosis biofilms were formed within peripheral venous catheters positioned in the marginal ear veins of New Zealand white rabbits. Biofilm formation was confirmed with scanning electron microscopy in two catheters. 24 catheters with staphylococcal biofilms and 24 with fungal biofilms were treated with APDT, ALT or “APDT plus ALT” for five days. Six catheters were separated as controls. APDT was applied with a red colored LED lamp and methylene blue as the photosensitizer. Vancomycin lock solutions were used as ALT for staphylococcal biofilms and amphotericin B for fungal biofilms. The effect of treatment procedures was evaluated by intraluminal biofilm viability testing based on spectrophotometric evaluation, and a quantitative (OD) value was obtained for each catheter. ResultsThe mean OD values obtained by 600 nm spectrophotometric reading at 24 h (biofilm viability) after “ALT”, “APDT” and “ALT plus APDT” procedures were 0.363, 0.151 and 0.128 for S. epidermidis and 0.092, 0.104 and 0.227 for C. orthopsilosis, respectively. All these OD values obtained after treatment procedures were lower than controls for both S. epidermidis (OD: 0,802) and C. orthopsilosis (OD: 0,315), although there were large fluctuations in our results. ConclusionsOur results suggest that transdermal APDT may be an effective method for treating staphylococcal and candida biofilms formed within intravenous catheters in our rabbit ear model. The combined use of APDT and ALT might be beneficial in these staphylococcal biofilms.

Speech intelligibility prediction based on a physiological model of the human ear and a hierarchical spiking neural network.

A speech intelligibility (SI) prediction model is proposed that includes an auditory preprocessing component based on the physiological anatomy and activity of the human ear, a hierarchical spiking neural network, and a decision back-end processing based on correlation analysis. The auditory preprocessing component effectively captures advanced physiological details of the auditory system, such as retrograde traveling waves, longitudinal coupling, and cochlear nonlinearity. The ability of the model to predict data from normal-hearing listeners under various additive noise conditions was considered. The predictions closely matched the experimental test data under all conditions. Furthermore, we developed a lumped mass model of a McGee stainless-steel piston with the middle-ear to study the recovery of individuals with otosclerosis. We show that the proposed SI model accurately simulates the effect of middle-ear intervention on SI. Consequently, the model establishes a model-based relationship between objective measures of human ear damage, like distortion product otoacoustic emissions, and speech perception. Moreover, the SI model can serve as a robust tool for optimizing parameters and for preoperative assessment of artificial stimuli, providing a valuable reference for clinical treatments of conductive hearing loss.

Dual-Modal Optical Imaging of Tissue Perfusion in Response to Cooling Stimulation Facilitates Early Detection of Pressure Ulcer.

Pressure ulcers present a significant human and economic challenge, lacking a reliable method for early detection. To address this, we developed a system capable of early detection by using cooling stimulation and dynamic data acquisition techniques to monitor blood perfusion and skin temperature. The system consists of laser speckle perfusion imaging and thermal imaging. And we performed simulations to demonstrate that the system is capable of detect tissue damage across multiple layers, from superficial to deep. Testing on a rabbit ear model demonstrated that this approach, which combines dynamic perfusion and temperature parameters, effectively distinguishes early pressure ulcer areas from normal skin with a significant p value of 0.0015. This distinction was more precise compared to methods relying solely on static parameters or one parameter. Our study thereby offers a promising advancement in the proactive management and prevention of pressure ulcers.

Visible-Light-Induced Silk Fibroin Hydrogels with Carbon Quantum Dots as Initiators for 3D Bioprinting Applications.

Digital light processing (DLP) 3D bioprinting technology has attracted increasing attention in tissue engineering in recent years. However, it still faces significant technical and operational challenges such as cell carcinogenesis caused by prolonged exposure to ultraviolet light and the presence of heavy metal ions in complex photoinitiator systems. In this study, a novel strategy is designed to introduce carbon quantum dots into visible-light-induced silk fibroin bioink as initiators (CDs/SilMA) applied for DLP 3D bioprinting technology. The incorporation of carbon quantum dots facilitates the formation of precise hydrogel structures at 415 nm visible wavelength, enabling the creation of brain, bronchus, spine, and ear models. Replacing heavy metal photoinitiators with carbon quantum dots imparts fluorescence properties to the bioink and enhances its mechanical properties. Meanwhile, the fibroin protein-based hydrogel exhibits favorable properties, such as drug loading, slow release, degradability, and biocompatibility. This is the first study to propose the application of carbon quantum dots in silk fibroin-based bioink. Moreover, the resulting product demonstrates excellent compatibility with the DLP printing process, making it promising for practical applications in various tissue engineering scenarios with specific requirements.

3D Computational Modeling of Blast Wave Transmission in Human Ear From External Ear to Cochlear Hair Cells: A Preliminary Study.

Auditory disabilities like tinnitus and hearing loss caused by exposure to blast overpressures are prevalent among military service members and veterans. The high-pressure fluctuations of blast waves induce hearing loss by injuring the tympanic membrane, ossicular chain, or sensory hair cells in the cochlea. The basilar membrane (BM) and organ of Corti (OC) behavior inside the cochlea during blast remain understudied. A computational finite element (FE) model of the full human ear was used by Bradshaw etal. (2023) to predict the motion of middle and inner ear tissues during blast exposure using a 3-chambered cochlea with Reissner's membrane and the BM. The inclusion of the OC in a blast transmission model would improve the model's anatomy and provide valuable insight into the inner ear response to blast exposure. This study developed a microscale FE model of the OC, including the OC sensory hair cells, membranes, and structural cells, connected to a macroscale model of the ear to form a comprehensive multiscale model of the human peripheral auditory system. There are 5 rows of hair cells in the model, each row containing 3 outer hair cells (OHCs) and the corresponding Deiters' cells and stereociliary hair bundles. BM displacement 16.75 mm from the base induced by a 31 kPa blast overpressure waveform was derived from the macroscale human ear model reported by Bradshaw etal. (2023) and applied as input to the center of the BM in the OC. The simulation was run for 2 ms as a structural analysis in ANSYS Mechanical. The FE model results reported the displacement and principal strain of the OHCs, reticular lamina, and stereociliary hair bundles during blast transmission. The movement of the BM caused the rest of the OC to deform significantly. The reticular lamina displacement and strain amplitudes were highest where it connected to the OHCs, indicating that injury to this part of the OC may be likely due to blast exposure. This microscale model is the first FE model of the OC to be connected to a macroscale model of the ear, forming a full multiscale ear model, and used to predict the OC's behavior under blast. Future work with this model will incorporate cochlear endolymphatic fluid, increase the number of OHC rows to 19 in total, and use the results of the model to reliably predict the sensorineural hearing loss resulting from blast exposure.

Electrospun graphene oxide/polymeric nanocomposites for eardrum replacements

The development of structures and devices with enhanced acousto-mechanical properties is a topic of interest in engineering, especially in the biomedical field. A case study is the reconstruction of the tympanic membrane after partial or complete damage, such as from chronic suppurative otitis media, which is the leading cause of infectious diseases in children. In this work, we developed graphene-oxide (GO) nanocomposite polymeric scaffolds fabricated via electrospinning to assess their potential suitability as substitutes of the eardrum. To evaluate the structural influence of GO on the fibrous mesh, we performed a characterization in terms of wettability, mechanical properties, and surface morphology. Moreover, a finite-element model of the middle ear was employed to assess the acousto-mechanical behavior of the eardrum upon application of the developed scaffolds. We observed that GO influenced the morphology of the fibrous scaffolds by increasing the mean diameter of the fibers, their stiffness and strength, while decreasing the water contact angle, thus making the structures more hydrophilic. From the acoustic standpoint, the simulations showed that GO does not significantly affect sound transmission, except for PVDF-based structures, for which GO slightly improves the behavior only up to 2 kHz, but with a suboptimal performance at higher frequencies. Our results open to the development of fibrous nanocomposite polymeric scaffolds with an enhanced acoustic behavior for structural applications not limited to bioengineering.

Language to Support Dignity for Children With Advanced Cancer and Their Families.

Conversations about dignity are fundamental to person-centered care in pediatrics, yet practical language strategies to promote and support dignity remain understudied. To address this gap, we aimed to identify and characterize language used by pediatric oncologists to recognize and affirm dignity across advancing illness. In this longitudinal prospective study, we audio-recorded serial disease reevaluation encounters between pediatric oncologists, children with cancer, and families across 24 months or until the child's death. Using a hybrid deductive-inductive qualitative approach, we defined dignity language a priori on the basis of existing descriptions of dignity in the literature and then conducted a content analysis to refine the definition specific to pediatric cancer care before coding serial medical encounters. Thematic frequencies were reported by using descriptive statistics. A total of 91 discussions at timepoints of disease progression were audio-recorded for 36 patients and their families. No dignity language was identified in nearly half (45%) of "bad news" encounters, and the time spent by the oncologist engaging in dignity language represented a minority (<7%) of overall recorded dialogue. Within coded dialogue, we characterized 3 key themes upholding dignity language (empowerment, autonomy, respect). Opportunities exist to improve dignity communication in childhood cancer, and the authors propose a conceptual model ("Lend an EAR") to guide dignity-based communication in pediatric cancer. Future research should emphasize patient and parent perspectives on language to support dignity for children with advanced cancer, with stakeholder-driven refinement of the Lend an EAR model before integration and testing in communication skills training programs.

Functional Nanostructured Lipid Carrier-Enriched Hydrogels Tailored to Repair Damaged Epidermal Barrier.

In this study, a functional nanostructured lipid carriers (NLCs)-based hydrogel was developed to repair the damaged epidermal skin barrier. NLCs were prepared via a high-energy approach, using argan oil and beeswax as liquid and solid lipids, respectively, and were loaded with ceramides and cholesterol at a physiologically relevant ratio, acting as structural and functional compounds. Employing a series of surfactants and optimizing the preparation conditions, NLCs of 215.5 ± 0.9 nm in size and a negative zeta potential of -42.7 ± 0.9 were obtained, showing acceptable physical and microbial stability. Solid state characterization by differential scanning calorimetry and X-ray powder diffraction revealed the formation of imperfect crystal NLC-type. The optimized NLC dispersion was loaded into the gel based on sodium hyaluronate and xanthan gum. The gels obtained presented a shear thinning and thixotropic behavior, which is suitable for dermal application. Incorporating NLCs enhanced the rheological, viscoelastic, and textural properties of the gel formed while retaining the suitable spreadability required for comfortable application and patient compliance. The NLC-loaded gel presented a noticeable occlusion effect in vitro. It provided 2.8-fold higher skin hydration levels on the ex vivo porcine ear model than the NLC-free gel, showing a potential to repair the damaged epidermal barrier and nourish the skin actively.

ECM derivatized alginate augmenting bio-functionalities of lyophilized mat for skin and liver wound treatment

Peptides and molecular residues sourced from the fragmentation of the extracellular matrix (ECM) can exacerbate a plethora of cellular functions. We selected a natural ECM-derived complex peptide mixture to functionalize sodium alginate. Three alginate derivatives (sodium alginate conjugated with ECM) SALE-1, SALE-2, and SALE-3 were synthesized using the lowest (10 % w/w), moderate (50 % w/w), and highest (100 % w/w) concentrations of ECM. Thereafter, they were used to fabricate three groups of mat scaffolds EMAT-1 (ECM derivatized alginate thrombin-mat), EMAT-2, and EMAT-3, respectively by the freeze-drying process. To enhance the hemostatic activity, thrombin was loaded onto the scaffolds. Another group, AT, without any derivatized alginate was additionally included in order to comparative analysis. Physical characteristics revealed that the porous mat scaffold showed enhancement in degradation and swelling ability with the increase in ECM content. The higher cell proliferation, migration, and cell viability were noticed in the higher ECM-containing samples EMAT-2 and EMAT-3. In vivo studies using rodent hepatic and rabbit ear models were carried out to ensure the hemostatic ability of the scaffolds. EMAT-2 and EMAT-3 demonstrate excellent liver regeneration ability in rat models. Moreover, the rat cutaneous wound model depicted that EMAT-3 dramatically elevated the skin's healing ability, thereby rendering it an excellent candidate for future clinical application in wound healing.

Minimally invasive surgical approach to model hypertrophic scarring in the rabbit ear.

Current strategies for hypertrophic scar prevention and treatment are limited. To facilitate these efforts, a minimally invasive hypertrophic scar model was created in a rabbit ear for the first time based on previous methods used to induce ischemia. Six New Zealand white rabbits (12 ears total) were studied. First, ischemia was achieved by ligating the cranial artery, cranial vein and central artery, while preserving the caudal artery, caudal vein and central vein, respectively. The relative level of ischemia induced at time of surgery, both baseline and maximum perfusion, was assessed with a fluorescent light-assisted angiography and demonstrated lower rates of perfusion in the ischemic ears. Following vascular injury, a 2-cm full thickness linear wound was created on the ventral ear and closed with 4 - 0 Nylon sutures under high tension. For each rabbit, one ear received a combination of ischemia and wounding with suture tension (n = 6), while the other ear was non-ischemic with wounding and suture tension alone (n = 6). Four weeks post-operatively, ischemic ears developed scar hypertrophy (histological scar thickness: 1.1 ± 0.2mm versus 0.5 ± 0.1mm, p < 0.05). Herein, we describe a novel, prototypical minimally invasive rabbit ear model of hypertrophic scar formation that can allow investigation of new drugs for scar prevention.

CD248 interacts with ECM to promote hypertrophic scar formation and development

Hypertrophic scar (HS) presents a significant clinical challenge, frequently arising as a fibrotic sequela of burn injuries and trauma. Characterized by the aberrant activation and proliferation of myofibroblasts, HS lacks a targeted therapeutic approach to effectively reduce this dysregulation. This study offers novel evidence of upregulated expression of CD248 in HS tissues compared to normal skin (NS) tissues. Specifically, the expression of CD248 was predominantly localized to α-SMA+-myofibroblasts in the dermis. To explain the functional role of CD248 in dermal myofibroblast activity, we employed a targeted anti-CD248 antibody, IgG78. Both CD248 intervention and IgG78 treatment effectively suppressed the proliferative, migratory, and ECM-synthesizing activities of myofibroblasts isolated from HS dermis. In addition, IgG78 administration significantly attenuated HS formation in an in vivo rabbit ear model. The LC/MS analysis coupled with co-immunoprecipitation of HS tissues indicated a direct interaction between CD248 and the ECM components Fibronectin (FN) and Collagen I (COL I). These findings collectively suggest that CD248 may function as a pro-fibrotic factor in HS development through its interaction with ECM constituents. The utilization of an anti-CD248 antibody, such as IgG78, represents a promising novel therapeutic strategy for the treatment of HS.

3D finite element modeling of earplug-induced occlusion effect in the human ear

Poor utilization of earplugs among military personnel may be due to discomfort caused by the occlusion effect (OE). The OE occurs when an earplug occludes the ear canal, thereby changing bone conduction (BC) hearing and amplifying physiological noises from the wearer. There is a need to understand and reduce the OE in the human ear. A 3D finite element model of the human ear including a 3-chambered spiral cochlea was employed to simulate the OE caused by foam and aerogel earplugs. 90 dB sound pressure was applied at the ear canal entrance and BC sound was applied as vibration of the canal bony wall. The model reported the ear canal pressure and the displacements of the stapes footplate and cochlear basilar membrane with and without earplugs. Without BC stimulation, the foam earplug showed a greater pressure attenuation than the aerogel earplug. However, the foam earplug results were more affected by BC stimulation, with a maximum sound pressure increase of 34 dB, compared to the 21.0 dB increase with the aerogel earplug. The aerogel earplug's lower OE demonstrates its promise as an earplug material. Future work with this model will examine BC sound transmission in the cochlea.

Preliminary results of classifying otosclerosis and disarticulation using a convolutional neural network trained with simulated wideband acoustic immittance data

Current noninvasive methods of clinical practice often do not identify the causes of conductive hearing loss due to pathologic changes in the middle ear with sufficient certainty. Wideband acoustic immittance (WAI) measurement is noninvasive, inexpensive and objective. It is very sensitive to pathologic changes in the middle ear and therefore promising for diagnosis. However, evaluation of the data is difficult because of large interindividual variations. Machine learning methods like Convolutional neural networks (CNN) which might be able to deal with this overlaying pattern require a large amount of labeled measurement data for training and validation. This is difficult to provide given the low prevalence of many middle-ear pathologies. Therefore, this study proposes an approach in which the WAI training data of the CNN are simulated with a finite-element ear model and the Monte-Carlo method. With this approach, virtual populations of normal, otosclerotic, and disarticulated ears were generated, consistent with the averaged data of measured populations and well representing the qualitative characteristics of individuals. The CNN trained with the virtual data achieved for otosclerosis an AUC of 91.1 %, a sensitivity of 85.7 %, and a specificity of 85.2 %. For disarticulation, an AUC of 99.5 %, sensitivity of 100 %, and specificity of 93.1 % was achieved. Furthermore, it was estimated that specificity could potentially be increased to about 99 % in both pathological cases if stapes reflex threshold measurements were used to confirm the diagnosis. Thus, the procedures’ performance is comparable to classifiers from other studies trained with real measurement data, and therefore the procedure offers great potential for the diagnosis of rare pathologies or early-stages pathologies. The clinical potential of these preliminary results remains to be evaluated on more measurement data and additional pathologies.

Maize kernel damage dynamic prediction in threshing through PSO-LSTM and discrete element modelling

This study presents the development of a maize ear model and a predictive approach for kernel damage in maize threshing, integrating physical simulation and predictive analytics to understand better and forecast threshing-related damage. First, a maize ear model was developed to analyse kernel damage during threshing. Through the angle of repose experiments, the optimal number of spheres for the kernel model was established as 65. Tensile tests were conducted to evaluate the kernel-cob bond strength, revealing an average relative error in the bonding force of 8.71%. Vogel impact energy modelling was applied to the kernel threshing process to determine kernel damage. The correlation between the speed of seed grain movement and the occurrence of damage was analysed by post-processing to identify locations with frequent kernel damage in the drum. In-depth data analysis of kernel damage in the threshing drum further elucidates the inherent relationship between kernel velocity and damage extent. The study then focused on applying neural networks to predict damage rates. The comparative evaluation shows that the PSO-LSTM model has better prediction accuracy than LSTM and RNN models, with the PSO-LSTM network achieving an RMSE of 0.096, a R2 of 99.96%, and a final damage rate of 2.41% in validation tests. Threshing experiments were conducted to verify the model, showing a 1.4% discrepancy between predicted and actual damage rates. This study proposes a kernel damage prediction model and provides new insights and directions for the structural design of threshing drums.

Influence of type of vehicle on dermal penetration efficacy of hydrophilic, amphiphilic, lipophilic model drugs

The influence of the vehicle on the dermal penetration efficacy of three different active ingredient (AI) surrogates (hydrophilic, amphiphilic, lipophilic model drugs), that were incorporated into these vehicles, was investigated with the ex vivo porcine ear model, which allowed to assess time and space resolved dermal penetration profiles of the AI. Fifteen different vehicles, including classical vehicles (hydrogel, oleogel, o/w cream, w/o ointment, amphiphilic cream) and innovative vehicles were included into the study. Results show tremendous differences in the penetration efficacy of the AI among the different vehicles. The differences in the total amounts of penetrated AI between lowest and highest penetration were about 3-fold for the hydrophilic AI surrogate, 3.5-fold for the amphiphilic AI and almost 5-fold for the lipophilic AI. The penetration depth was also affected by the type of vehicle. Some vehicles allowed the AI to penetrate only into the upper layers of the stratum corneum, whereas others allowed the penetration of the AI into deeper layers of the viable dermis. Data therefore demonstrate that the vehicles in compounding medications cannot be exchanged against each other randomly if a constant and safe medication is desired. The data obtained in the study provide first information on which types of vehicles are exchangeable and which types of vehicles can be used for enhanced dermal penetration of AI, thus providing a first base for a science-based selection of vehicles that can provide both, efficient dermal drug delivery and skin barrier function maintenance/strengthening at the same time.