Central Task Research Articles

Sustained attention and the flash grab effect.

When a stationary target is briefly presented on top of a moving background as it reverses direction, the target is displaced perceptually in the direction of the upcoming motion (the flash grab effect). To determine the role of attention in this effect, we investigated whether the predictability of the location of the flash grab target modulates the illusion. First, we established that effect was weaker for spatially predictable targets. Next, we showed that the flash grab effect decreased for a narrower spatial spread of attention before the onset of the target and that it was smaller for left hemifield presentations than right. Finally, we demonstrated that diverting attention away from the target and the background motion decreases the flash grab effect. In the first two experiments, the decrease in the illusion could be attributed to either increased attention to the target or decreased attention to the motion; we assume that increasing attention to the target necessarily decreases attention to the motion. However, in the final experiment, the central task decreases attention to both the target and the motion. The results show a decrease in the illusion and that reveals that attention to the motion is the primary causal factor.

Annotating microbial functions with ProkFunFind.

Analyzing microbial genomes has become an essential part of microbiology research, giving valuable insights into the functions and evolution of microbial species. Identifying genes of interest and assigning putative annotations to those genes is a central task in genome analysis, and a plethora of tools and approaches have been developed for this task. The ProkFunFind tool was developed to bridge the gap between these various annotation approaches, providing a flexible and customizable search approach to annotate microbial functions. ProkFunFind is designed around hierarchical definitions of biological functions, where individual genes can be identified using heterogeneous search terms consisting of sequences, profile hidden Markov models, protein domains, and orthology groups. This flexible and customizable search approach allows for searches to be tailored to specific biological functions, and the search results are output in multiple formats to facilitate downstream analyses. The utility of the ProkFunFind search tool was demonstrated through its application in searching for bacterial flagella, which are complex organelles composed of multiple genes. Overall, ProkFunFind provides an accessible and flexible way to integrate multiple types of annotation and sequence data while annotating biological functions in microbial genomes.IMPORTANCEGenome sequencing and analysis are increasingly important parts of microbiology, providing a way to predict metabolic functions, identify virulence factors, and understand the evolution of microbes. The expanded use of genome sequencing has also brought an abundance of search and annotation methods, but integrating the information from these different methods can be challenging and is often done through ad hoc approaches. To bridge the gap between different types of annotations, we developed ProkFunFind, a flexible and customizable search tool incorporating multiple search approaches and annotation types to annotate microbial functions. We demonstrated the utility of ProkFunFind by searching for gene clusters encoding flagellar genes using a combination of different annotation types and searches. Overall, ProkFunFind provides a reproducible and flexible way to identify gene clusters of interest, facilitating the meaningful analysis of new and existing microbial genomes.

Real-time simultaneous refractive index and thickness mapping of sub-cellular biology at the diffraction limit

Mapping the cellular refractive index (RI) is a central task for research involving the composition of microorganisms and the development of models providing automated medical screenings with accuracy beyond 95%. These models require significantly enhancing the state-of-the-art RI mapping capabilities to provide large amounts of accurate RI data at high throughput. Here, we present a machine-learning-based technique that obtains a biological specimen’s real-time RI and thickness maps from a single image acquired with a conventional color camera. This technology leverages a suitably engineered nanostructured membrane that stretches a biological analyte over its surface and absorbs transmitted light, generating complex reflection spectra from each sample point. The technique does not need pre-existing sample knowledge. It achieves 10−4 RI sensitivity and sub-nanometer thickness resolution on diffraction-limited spatial areas. We illustrate practical application by performing sub-cellular segmentation of HCT-116 colorectal cancer cells, obtaining complete three-dimensional reconstruction of the cellular regions with a characteristic length of 30 μm. These results can facilitate the development of real-time label-free technologies for biomedical studies on microscopic multicellular dynamics.

The Philosophy of creativity: conceptual approaches of V.S. Solovyov and N.A. Berdyaev

The object of this paper is creativity as a cultural philosophical and historical-philosophical phenomenon. The subject of the research is the substantiation of the essence of creativity by Russian religious philosophy on the example of the doctrine of V.S. Solovyov and N.A. Berdyaev. The aim of this research is to identify and articulate the key semantic constructs of creativity from the positions of the above-mentioned thinkers. The article also explores ideas about the nature of creativity and the specific features of a creative subject through the prism of relevant concepts of a socio-humanitarian orientation. A brief historical and philosophical excursion into the understanding of the ontological essence of creativity is carried out, modern ontological concepts of creativity are revealed and an existentially oriented concept of creativity is proposed. The theoretical basis of the research is the original works of V.S. Solovyov and N.A. Berdyaev, as well as various commenting scientific sources. The methodological foundation of the research is a comparative analysis and a method of contextual vision of creativity. The main result of the conducted research is the articulation of key aspects of the understanding of creativity by V.S. Solovyov and N.A. Berdyaev. It is shown that for the first philosopher, the central task of creativity is the spiritualization of the material world through the realization of the unity of Goodness, Truth and Beauty, while the second thinker considers the main mission of creativity to be the establishment of a fundamentally different spiritual being by the subject. The scientific novelty of the research also lies in the comparative characterization of the concepts of creativity of these thinkers in terms of essence, tasks, meaning, material, sources, functions, result and other structural aspects.

Research on the integration of labor education and ideological and political education in colleges and universities in the new era

As an important part of the socialist education system with Chinese characteristics, labor education and ideological and political education are the central tasks of school education, with moral cultivation as its fundamental goal and important mission. Ideological and political education plays the role of ideological guidance in the process of labor education, and labor education can concretely realize the goal of ideological and political education and promote the mutual promotion of students' ideological and political education and the sense of labor acquisition. Facing the new requirements, new opportunities and new challenges of the new era, strengthening the integration of labor education and ideological and political education is an important way to strengthen and improve the ideological and political work in colleges and universities, improve the labor quality of college students, and train qualified talents who meet the needs of society.

The Nature of the Critique of Pure Reason and the Architectonic Unity of Metaphysics: A Response to my Critics

Abstract I respond to Karin de Boer, Thomas Land, and Claudio La Rocca’s comments on Kant’s Critique of Pure Reason and the Method of Metaphysics (CUP 2023). I first provide a quick outline of some of the main claims I make in the book. I then directly address their criticisms, which I group into three categories. The first group of comments raises doubts concerning my characterization of the central tasks of the critique of pure reason. The second targets the fact that I downplay faculty analysis as an essential characteristic of the critique. The third has to do with my claim that the Critique of Pure Reason aims to show that metaphysics is capable of architectonic unity, where this unity is only achievable when we construe metaphysics according to the worldly concept of philosophy.

Abstract B074: Clinical inference of location and trajectory of pancreatic cancer from radiology reports using zero-shot LLM

Abstract Importance: Recent breakthroughs in Large Language models (LLM) have shown impressive reasoning capabilities. Inferring disease trajectory from radiology reports is a central task in clinical oncology, and radiographic interpretation of disease state and treatment benefits in pancreas cancer can be particularly challenging. We assess the performance of LLMs (GPT3.5-turbo and GPT4) to infer disease status, response to treatment, and location of disease for patients with pancreatic adenocarcinoma from clinical radiology reports. We also assess the ability of LLMs to extrapolate from objective findings, vs. their reliance on radiologist’s summaries. Experimental Design: We used 200 deidentified radiology reports from pancreatic cancer patients at different stages of treatment and submitted these reports to the GPT3.5 and GPT4 models via an Microsoft Azure HIPAA compliant instance. We assess the reasoning capabilities of these two models in the three independent tasks in pancreatic cancer imaging. 1) disease status/response to treatment, 2) disease location, and 3) presence of indeterminate nodules requiring further follow up. Evaluation of response was compared to a medical oncologist’s interpretation of each report. A second medical oncologist served as adjudicator for discrepancies between human and GPT models and rates of data fabrication. We also assessed importance of Radiologists summaries vs Objective finding sections, as well as different prompt engineering approaches. Results: We found a maximum performance of 71% and 85% of GPT3.5 and GPT4 respectively when asked to classify radiology reports into seven categories of malignancy presence and trajectory, as compared to a medical oncologist’s interpretation. This accuracy was strongly dependent on requesting the model demonstrate its reasoning process before providing an answer; though this dependency was abrogated by providing the Radiologist’s impression section. We also found the main source of mis-classification was incongruence between reasoning and the final classification (as opposed to incorrect medical reasoning). Finally, we showed that GPT4 performs strongly on identifying specific organ sites of disease, as well as presence of indeterminate findings requiring further follow up. Conclusion: GPT algorithms accurately interpret multiple clinically relevant features in radiology reports for Pancreatic adenocarcinoma patients. Precision improved markedly with GPT 4 compared to GPT-3.5. This suggests GPT-based tools are potential valuable clinical allies in interpreting radiologist-produced text and could be valuable aids in cohort identification for large scale real-world data research and eventually clinical management support. Citation Format: Travis Ian Zack, Madhumita Sushil, Brenda Miao, Arda Demirci, Corynn Kasap, Margaret Tempero, Atul Butte, Eric Collisson. Clinical inference of location and trajectory of pancreatic cancer from radiology reports using zero-shot LLM [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Pancreatic Cancer; 2023 Sep 27-30; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(2 Suppl):Abstract nr B074.

Left Populism and the Education of Desire

AbstractThis paper mobilises the psychoanalytic concepts of desire and enjoyment to better understand how processes of education aimed at extending and defending democratic life might respond to and engage with populist politics. I approach this task by engaging with a particular vector of Mouffe and Laclau’s political philosophy, moving from a critique of liberal democracy’s rationalist pretensions to their insistence that left populism and its passionate construction of a ‘people’ is the central task facing radical politics. This attention to the libidinal basis of political identification locates them in a community of Left Lacanian thinkers who reframe the problems of democratic politics in terms of desire and enjoyment rather than miseducation or its lack. Whilst this position might suggest a binary choice between different analytical frames, I inquire into what insights are generated by theorising left populism as an ‘education of desire’. The paper is organised into four main parts: the opening discussion clarifies my understanding of education by engaging with the literature on educational agonism. The second section lays the groundwork for a critique of the way in which education is fetishized, in different ways, by liberals and radicals as a panacea for populist politics. The third section reframes democratic crisis as an enjoyment problem in order to better grasp the relationship between the liberal democratic disavowal of its own irrationality and the structure of right-wing populist enjoyment. The fourth section applies these insights to develop a critical analysis of what is at stake when we explicitly consider the left populist construction of a ‘people’ as an educational task. I conclude by drawing together and summarising the main features and considerations of left populism understood as an education of desire.

The effect of bolus properties on muscle activation patterns and TMJ loading during unilateral chewing

Mastication is a vital human function and uses an intricate coordination of muscle activation to break down food. Collection of detailed muscle activation patterns is complex and commonly only masseter and anterior temporalis muscle activation are recorded. Chewing is the orofacial task with the highest muscle forces, potentially leading to high temporomandibular joint (TMJ) loading. Increased TMJ loading is often associated with the onset and progression of temporomandibular disorders (TMD). Hence, studying TMJ mechanical stress during mastication is a central task. Current TMD self-management guidelines suggest eating small and soft pieces of food, but patient safety concerns inhibit in vivo investigations of TMJ biomechanics and currently no in silico model of muscle recruitment and TMJ biomechanics during chewing exists. For this purpose, we have developed a state-of-the-art in silico model, combining rigid body bones, finite element TMJ discs and line actuator muscles. To solve the problems regarding muscle activation measurement, we used a forward dynamics tracking approach, optimizing muscle activations driven by mandibular motion. We include a total of 256 different combinations of food bolus size, stiffness and position in our study and report kinematics, muscle activation patterns and TMJ disc von Mises stress. Computed mandibular kinematics agree well with previous measurements. The computed muscle activation pattern stayed stable over all simulations, with changes to the magnitude relative to stiffness and size of the bolus. Our biomedical simulation results agree with the clinical guidelines regarding bolus modifications as smaller and softer food boluses lead to less TMJ loading. The computed mechanical stress results help to strengthen the confidence in TMD self-management recommendations of eating soft and small pieces of food to reduce TMJ pain.

Patients’ Problem Presentation in China’s Primary Care

ABSTRACT Identifying patients’ reasons for visiting is the central task at medical openings, the structure of which has been well studied in Western primary care, but much under-researched in China’s mainland. Drawing on conversation analysis of 91 audio-recorded primary care consultations in China, this study explores interactional features of patients’ problem presentation at medical openings in terms of sequential positions, forms, and contextual contingencies, which has implications for the model of medical service encounters in Chinese primary care openings. Although problem description is commonly solicited by doctors across cultures, Chinese patients’ problem presentation often takes forms other than problem description. Nearly two thirds of problem presentation in our data are designed as a request-making action (57/91 cases), being more often self-initiated than solicited. This blurs the boundary between medical visits for new and non-new problems. The analysis of Chinese patients’ problem presentation points to a high degree of patient agency in primary care in China, suggesting a strong orientation to the “provider-consumer” (vs. “professional-client”) model of service encounters in the opening structure of doctor-patient interaction.

Multivariate trace estimation in constant quantum depth

There is a folkloric belief that a depth-Θ(m) quantum circuit is needed to estimate the trace of the product of m density matrices (i.e., a multivariate trace), a subroutine crucial to applications in condensed matter and quantum information science. We prove that this belief is overly conservative by constructing a constant quantum-depth circuit for the task, inspired by the method of Shor error correction. Furthermore, our circuit demands only local gates in a two dimensional circuit – we show how to implement it in a highly parallelized way on an architecture similar to that of Google's Sycamore processor. With these features, our algorithm brings the central task of multivariate trace estimation closer to the capabilities of near-term quantum processors. We instantiate the latter application with a theorem on estimating nonlinear functions of quantum states with "well-behaved" polynomial approximations.

Working memory program for improving language skills in older adults with mild neurocognitive disorders: A pilot study

Background: Older adults with mild neurocognitive disorders (mild NCD) have a higher risk of major NCD. Cognitive deterioration can cause a deficit in working memory and language. Recent studies have shown some involvement overlapping the brain structure of working memory and language skills. Therefore, working memory intervention effectively enhances language skills in mild NCD. However, more research on this topic in Thailand is required. Objectives: This study aimed to develop and implement a pilot study on a working memory program for improving language skills in older adults with mild NCD. Materials and methods: This study was a developmental research design with two phases. Phase one involved the development and examination of the content validity of the working memory program for improving language skills by five experts. Phase two involved piloting the program with three older adults with mild NCD. The participants were asked to provide suggestions about the clarity of content and images, language usage, font size, the comprehensibility of instructions in each activity, and the quality of audio files used to complement the program activities through semi-structured interviews. Descriptive statistics were employed to analyze the collected data. Results: The program comprised nine activities associated with the phonological loop, visual-spatial sketchpad, episodic buffer, and central executive tasks. The program’s content validity was evaluated by five experts, resulting in a content validity index of 0.94, meeting the established criteria. Among the pilot users, three participants meeting the specified criteria indicated their ability to use and practice the program at home effectively. While most participants agreed that the images were clear and the font size was appropriate, there were concerns regarding the clarity of the training process steps and instructions. Additionally, some participants encountered challenges in accessing audio files through quick response (QR) codes. Conclusion: In summary, the pilot study of the working memory program for improving language skills in older adults with mild NCD passed the content validity test and underwent revisions based on suggestions from the pilot users. Consequently, the program could enhance the language abilities of older adults with mild NCD. The next phase will investigate its effectiveness in improving language skills in older adults with mild NCD.

Data quality in environmental assessment methods – Implications for the operational management in manufacturing

To implement environmentally sustainable, resource-efficient manufacturing, the quantification of the environmental impacts is a central task. This task requires suitable methods. Various lifecycle phases, including remanufacturing concepts, and the associated increasing complexity demand a change from static to dynamic assessment methods. Flexible changes must be considered. Thereby, data quality has a major impact on the subsequent assessment results. Though the available data amount in a manufacturing environment is constantly increasing, the influence of data quality on the respective method – and thus, the reliability of the results – remains a key issue. To address this problem, this paper investigates the necessary developments regarding data quality for environmental assessment methods in dynamically changing manufacturing settings. First, relevant data quality dimensions are identified. Subsequently, a cross-comparison of data quality dimensions and different approaches of environmental evaluation in manufacturing is developed. The necessary changes to data quality requirements in operational environmental assessments are derived. Finally, a concept for the improvement of data quality in dynamic assessments is proposed and discussed based on the use case of battery modules’ remanufacturing. This paper contributes to the development of environmental assessment methods that are evolving from static, historical data-based evaluations to dynamic assessment tools of flexible productions.

ErUM-Data-Hub - The Networking and Transfer Office serving Digital Transformation in Research on Universe and Matter in Germany

Research on Universe and Matter (ErUM), conducted at major infrastructures such as CERN and large observatories in collaboration with university groups, plays an important role in driving the digital transformation for the future. The German action plan "ErUM-Data" [2] promotes this transformation through the interdisciplinary networking and financial support of about 20.000 scientists. The ErUM-Data-Hub [4] serves as a central networking and transfer office to meet these ambitions. One central task is designing, organizing and performing schools and workshops for young and expert scientists in the areas of big data, deep learning, sustainable computing and many more. We present the achievements up to the first anniversary of the ErUM-Data-Hub in the German ErUM community.

Metal-organic framework-based S-scheme heterojunction photocatalysts.

Photocatalysis is a promising technology to resolve energy and environmental issues, where the design of high-efficiency photocatalysts is the central task. As an emerging family of photocatalysts, semiconducting metal-organic frameworks (MOFs) with remarkable features have demonstrated great potential in various photocatalytic fields. Compared to MOF-based photocatalysts with a single component, construction of S-scheme heterojunctions can render MOFs with enhanced charge separation, redox capacity and solar energy utilization, and thus improved photocatalytic performance. Herein, an overview of the recent advances in the design of MOF-based S-scheme heterojunctions for photocatalytic applications is provided. The basic principle of S-scheme heterojunctions is introduced. Then, three types of MOF-based S-scheme heterojunctions with different compositions are systematically summarized including MOF/non-MOF, MOF-on-MOF and MOF-derived heterojunctions. Afterwards, the enhanced performances of MOF-based S-scheme heterojunctions in hydrogen production, CO2 reduction, C-H functionalization, H2O2 production and wastewater treatment are highlighted. Lastly, the current challenges and future prospects regarding the design and applications of MOF-based S-scheme heterojunctions are discussed to inspire the further development of this emerging field.

SSR-2D: Semantic 3D Scene Reconstruction from 2D Images.

Most deep learning approaches to comprehensive semantic modeling of 3D indoor spaces require costly dense annotations in the 3D domain. In this work, we explore a central 3D scene modeling task, namely, semantic scene reconstruction without using any 3D annotations. The key idea of our approach is to design a trainable model that employs both incomplete 3D reconstructions and their corresponding source RGB-D images, fusing cross-domain features into volumetric embeddings to predict complete 3D geometry, color, and semantics with only 2D labeling which can be either manual or machine-generated. Our key technical innovation is to leverage differentiable rendering of color and semantics to bridge 2D observations and unknown 3D space, using the observed RGB images and 2D semantics as supervision, respectively. We additionally develop a learning pipeline and corresponding method to enable learning from imperfect predicted 2D labels, which could be additionally acquired by synthesizing in an augmented set of virtual training views complementing the original real captures, enabling more efficient self-supervision loop for semantics. As a result, our end-to-end trainable solution jointly addresses geometry completion, colorization, and semantic mapping from limited RGB-D images, without relying on any 3D ground-truth information. Our method achieves state-of-the-art performance of semantic scene completion on two large-scale benchmark datasets MatterPort3D and ScanNet, surpasses baselines even with costly 3D annotations in predicting both geometry and semantics. To our knowledge, our method is also the first 2D-driven method addressing completion and semantic segmentation of real-world 3D scans simultaneously.

Customized Visual Discrimination Digital Therapy According to Visual Field Defects in Chronic Stroke Patients.

Visual perceptual learning (VPL) may improve visual field defects (VFDs) after chronic stroke, but the optimal training duration and location remain unknown. This prospective study aimed to determine the efficacy of 8 weeks of VFD-customized visual discrimination training in improving poststroke VFDs. Prospectively enrolled patients with poststroke VFDs initially received no training for 8 weeks (no-training phase). They subsequently underwent our customized VPL program that included orientation-discrimination tasks in individualized blind fields and central letter-discrimination tasks three times per week for 8 weeks (training phase). We analyzed the luminance detection sensitivity and deviation as measured using Humphrey visual field tests before and after the no-training and training phases. The vision-related quality of life was assessed at baseline and at a 16-week follow-up using the National Eye Institute Visual Function Questionnaire-25 (NEI-VFQ-25). Changes in mean total deviation (MTD) scores were greater during the training phase than during the no-training phase (defective hemifield, p=0.002; whole field, p=0.004). The MTD scores improved during the training phase (defective hemifield, p=0.004; whole field, p=0.016), but not during the no-training phase (defective hemifield, p=0.178; whole field, p=0.178). The difference between the improved and worsened areas (≥6 dB changes in luminance detection sensitivity) was greater during the training phase than during the no-training phase (p=0.009). The vision-specific social functioning subscore of the NEI-VFQ-25 improved after the 16-week study period (p=0.040). Our 8-week VFD-customized visual discrimination training protocol may effectively improve VFDs and vision-specific social functioning in chronic stroke patients.

Формирование благоориентированной официальной помощи: анализ межстрановых различий

We examine cross-country differences in the beneficent motive formation of aid to developing countries using data on 18 OECD donors for 2010–2019. The paper tested the theoretical determinants highlighted in the philosophy of collaboration on two subsamples of donors — those with a prevailing selfless motive and those with a mixed one. Our analysis shows that for the first group of countries, welfare and prosociality are significant factors of benefit-oriented aid, for the second — technological development. The components of civic culture, such as tolerance, trust, and public involvement in political decisions probably play a significant role regardless of the donor type . In addition, the paper explored key distinctions in the relationship between domestic and international aid. The results obtained expand the understanding of the cultural and historical contexts of untying aid, which remains one of the central tasks of the OECD.

Creativity as a Universal Phenomenon of Existence (About Olga Zhukova’s Authorial Conception)

This article is devoted to the issue of creativity, which is perceived by the example of the monograph Tvorchestvo i religioznost' v russkoi kul'ture. Filosofskie issledovaniya [Creativity and Religiosity in Russian Culture. Philosophical Studies] (2022) written by Russian philosopher and cultural scholar Olga Zhukova. Although the philosophical and cultural analysis of the artistic process is carried out in the researcher’s work mainly based on the material of literature, the universal nature of creativity allows the author to discover the parallels between the verbal, philosophical and musical modes of discourse. Since the provisions and ideas expounded in the monograph create the precedent for discussing the current topical theoretical and methodological issues of the art of music, the purpose of the article is determined by constructing a system of argumentation that ensures the legitimacy of the following statement: creativity acts as a phenomenon of existence, determining the self-justification of the artist’s personality, whether he or she is a poet, artist or composer, or a reader, viewer and/or listener (performer). At the same time, the central task of this article is to position music as a spiritual and intellectual type of creativity, the universal forms of which are the knowledge of reality and the creation of an image of meaning, revealed in the structure of an artistic text. Relying on the experience of well-known philosophers, cultural and art historians, word artists and performing musicians, the author expresses the necessity to tune the ear of every artist to the sounding entity, the essence of which is able to be revealed with the most completeness only by music.

DENTAL PATIENT-REPORTED OUTCOMES IN GERIATRIC DENTISTRY : A call for clinical translation

As the proportion of older adults in the world population increases, there is an increasing need to provide adequate dental care for this very heterogeneous group of individuals. The relationship between oral and systemic health, the impact of medication on oral health, and the influence of accessibility to dental care and other social and environmental factors shape the provision of dental care for older adults more than in children, younger, and middle-aged adults.However, while dental care for older adults is shaped by these factors and is often different from the care for other adults, what matters to older dental patients does not differ from what matters to dental patients in general. The four dimensions of oral health-related quality of life (OHRQoL)–Oral Function, Orofacial Pain, Orofacial Appearance, and Psychosocial Impact–capture dental patients’ suffering from oral disorders. OHRQoL questionnaires can be used to assess this impact and to achieve results that are compatible with adults in general. More than in other age groups, cognitive impairments or dementia limit the usefulness of questionnaires or interviews for oral health impact assessment. In these situations, family members or caregivers can assess the patient's oral health impact, and oral health care providers need to rely more on physical oral health characteristics for clinical decision-making than in other dental patients. While the tools to measure oral health impact change, the targets for dental care stay the same. Prevention and reduction of functional, painful, aesthetical, and broader psychosocial impact related to oral disorders are the central tasks for geriatric dentistry as they are for dentistry in general.The aim of the manuscript is to highlight the importance of patient-reported outcome measures in geriatric dentistry, addressing challenges and opportunities for their application.