Exceptional Abilities Research Articles

Acting Emotions: a comprehensive dataset of elicited emotions

Emotions encompass physiological systems that can be assessed through biosignals like electromyography and electrocardiography. Prior investigations in emotion recognition have primarily focused on general population samples, overlooking the specific context of theatre actors who possess exceptional abilities in conveying emotions to an audience, namely acting emotions. We conducted a study involving 11 professional actors to collect physiological data for acting emotions to investigate the correlation between biosignals and emotion expression. Our contribution is the DECEiVeR (DatasEt aCting Emotions Valence aRousal) dataset, a comprehensive collection of various physiological recordings meticulously curated to facilitate the recognition of a set of five emotions. Moreover, we conduct a preliminary analysis on modeling the recognition of acting emotions from raw, low- and mid-level temporal and spectral data and the reliability of physiological data across time. Our dataset aims to leverage a deeper understanding of the intricate interplay between biosignals and emotional expression. It provides valuable insights into acting emotion recognition and affective computing by exposing the degree to which biosignals capture emotions elicited from inner stimuli.

Investigating the role of Purkinje fibers and synaptic connectivity in balance regulation through comprehensive ultrastructural and immunohistochemical analysis of the donkey's (Equus asinus) cerebellum.

The donkey's extraordinary capacity to endure substantial loads over long distances while maintaining equilibrium suggests a distinctive cerebellar architecture specialized in balance regulation. Consequently, our study aims to investigate the intricate histophysiology of the donkey's cerebellum using advanced ultrastructural and immunohistochemical methodologies to comprehend the mechanisms that govern this exceptional ability. This study represents the pioneering investigation to comprehensively describe the ultrastructure and immunohistochemistry within the donkey cerebellum. Five adult donkeys'cerebella were utilized for the study, employing stains such as hematoxylin, eosin, and toluidine blue to facilitate a comprehensive histological examination. For immunohistochemical investigation, synaptophysin (SP), calretinin, and glial fibrillary acidic proteinwere used and evaluated by the Image J software. Furthermore, a double immunofluorescence staining of SP and neuron-specific enolase (NSE) was performed to highlight the co-localization of these markers and explore their potential contribution to synaptic function within the donkey cerebellum. This investigation aims to understand their possible roles in regulating neuronal activity and synaptic connectivity. We observed co-expression of SP and NSE in the donkey cerebellum, which emphasizes the crucial role of efficient energy utilization for motor coordination and balance, highlighting the interdependence of synaptic function and energy metabolism. The Purkinje cells were situated in the intermediate zone of the cerebellum cortex, known as the Purkinje cell layer. Characteristically, the Purkinje cell's bodies exhibited a distinct pear-like shape. The cross-section area of the Purkinje cells was 107.7 ± 0.2 µm2 , and the Purkinje cell nucleus was 95.7 ± 0.1 µm2 . The length and diameter of the Purkinje cells were 36.4 × 23.4 µm. By scanning electron microscopy, the body of the Purkinje cell looked like a triangular or oval with a meandrous outer surface. The dendrites appeared to have small spines. The Purkinje cells'cytoplasm was rich with mitochondria, rough endoplasmic reticulum, ribosomes, Golgi apparatus, multivesicular bodies, and lysosomes. Purkinje cell dendrites were discovered in the molecular layer, resembling trees. This study sheds light on the anatomical and cellular characteristics underlying the donkey's exceptional balance-maintaining abilities.

Katekese Sekolah Menengah Mengenai Yesus Sebagai Sahabat Sejati dan Tokoh Idola Pada Peserta Didik Kelas XA SMAK Frateran Malang

Young people often idolize models or idols regarding their lifestyle and charm. It would be wonderful if that fascination was directed towards Jesus Christ, the Savior. Admiration for these individuals is often driven by their exceptional values, traits, character, abilities or appearance, which embody the aspirations and aspirations of the admirer. This admiration can also lead to a longing for a relationship with the idolized figure, either directly or indirectly. The research methodology used is a qualitative method. The data used in this research was collected from news sources, books, and journals. The findings in this study conclude that what is formulated as the main problem is answered that catechesis on "Jesus as a true friend and idol figure" can affect the depth of faith and real action in the lives of students. This finding is also a very meaningful input for Catholic Religious Education teachers who become catechesis facilitators in schools to be more proactive and skillful in delivering teaching materials.

The identification of primary school students who are gifted in science

ABSTRACT Emphasizing the identification of individuals with exceptional abilities in understanding school science is of great importance. Therefore, the present study aimed to investigate students’ cognitive abilities to identify those with special talents in primary school science. The statistical population of the study included all male and female fourth-grade students in Zanjan City, Zanjan Province, Iran during the academic year 2015–2016. A total of 300 students (150 girls and 150 boys) were selected for the study. The analysis demonstrated strong correlations of 0.675, 0.681, and 0.674 between academic achievement and the combined scores of three key cognitive abilities (scientific reasoning, reading comprehension, and problem-solving) across the entire sample, as well as within the female and male subgroups. Our finding indicated a good overlap in the frequency of gifted individuals (5% of the sample) in both academic achievement and cognitive ability tests, particularly in the three mentioned components. In future research, the effect of the educational environment on the development of gifted students with low academic achievement can be studied.

A Survey of Deep Learning Techniques and Computer Vision in Robotic and Drone with Applications

The methods of deep learning have lately demonstrated outstanding outcomes of robotic objects such as imagination, localization and striping. Its exceptional abilities in order to learn idealizations from complicated data gathered in the real world ambiance make it perfect for a high range of independent applications of robot. Simultaneously, unmanned aerial vehicles are becoming more used for a variety of civilian stints ranging from security, superintending, and disaster relief, extraditing of package and repository arrangement. A thorough exegesis one of the primary deep learning techniques is also supplied. A set of the main difficulties in using deep learning with UAV-based solutions. Even still, autonomous navigation remains a challenge where computer vision technologies can shine. As a result, development the forecast made by the network and the ground-truth attention distribution, increased the use of vision systems and algorithms, been a major focus of studies conducted recently. An organized mapping investigation is conducted to gain a broad perception of subject. Some studies provide a thorough examination of addressing computer vision in relation to the following independent unmanned aerial vehicles vision establish chores such as navigation, control, back trace and sense.

Perception of the Gifted Students on the Influence of Mentorship and Counselling Services on Academic Performance. A Case of Uasin Gishu County, Kenya.

This study investigates the perceptions of gifted students regarding the influence of mentorship and counseling services on their academic performance, focusing on Uasin Gishu County, Kenya. Gifted students often possess exceptional abilities and require specialized support to maximize their potential. Mentorship and counseling services are crucial interventions in nurturing giftedness and addressing the unique academic and socio-emotional needs of these students. However, the extent to which such services impact academic performance from the perspective of gifted students remains underexplored, particularly within the Kenyan context. Through survey research design and interviews and focus group discussions data collection methods a sample size of 120 form three and four students respondent was used. The study findings indicate that seventy four (74) gifted students desired the presentence of mentors and role models in their studies. The findings contribute to the understanding of effective strategies for supporting gifted students in Kenyan educational settings and inform the development of targeted interventions to enhance their academic success and overall well-being.

Women Breaking into the South Korean Film World: A Study of Female Filmmakers in the 1990s

In the 1990s, four women made their debut as film directors in South Korea. Considering that there were only five female directors from the beginning of Korean film history in 1919 until the 1980s, their debut was a remarkable phenomenon. This change was due to the structural innovation of the South Korean film field that began in the mid-1980s. With the collapse of the apprenticeship system, networks of cinephiles such as the Munhwawon sedae functioned as a new source of relational capital. In order to deepen our understanding of the emergence of the celluloid ceiling in South Korea, this study focuses on the experiences of three women filmmakers who made their first feature films in the 1990s: Yim Soon-rye, Lee Jeong-hyang, and Byun Young-Joo. Compared to male directors who had equivalent cultural and academic capital, and who entered the field during the same period, these women directors were unable to acquire sufficient relational capital to promote their careers as directors. It was the authorities of the field, such as film festivals and the media, that acknowledged them and established their reputations, allowing them to release their first films in the South Korean cinematic field. In other words, even in the new system, women remained excluded from the benefits of relational capital in the South Korean cinematic field, and they could only find their place as directors by demonstrating exceptional individual abilities.

Behavioral Motor Performance.

The human sensorimotor control system has exceptional abilities to perform skillful actions. We easily switch between strenuous tasks that involve brute force, such as lifting a heavy sewing machine, and delicate movements such as threading a needle in the same machine. Using a structure with different control architectures, the motor system is capable of updating its ability to perform through our daily interaction with the fluctuating environment. However, there are issues that make this a difficult computational problem for the brain to solve. The brain needs to control a nonlinear, nonstationary neuromuscular system, with redundant and occasionally undesired degrees of freedom, in an uncertain environment using a body in which information transmission is subject to delays and noise. To gain insight into the mechanisms of motor control, here we survey movement laws and invariances that shape our everyday motion. We then examine the major solutions to each of these problems in the three parts of the sensorimotor control system, sensing, planning, and acting. We focus on how the sensory system, the control architectures, and the structure and operation of the muscles serve as complementary mechanisms to overcome deviations and disturbances to motor behavior and give rise to skillful motor performance. We conclude with possible future research directions based on suggested links between the operation of the sensorimotor system across the movement stages. © 2024 American Physiological Society. Compr Physiol 14:5179-5224, 2024.

Ternary cobalt ferrite (CoFeO4)-silver (Ag)-titanium dioxide (TiO2) hybrid nanofluid hydromagnetic nonlinear radiative-convective flow from a rotating disk with viscous dissipation, non-Darcy and non-Fourier effects: Swirl coating simulation

Magnetic nanoparticles are increasingly being deployed in smart coating systems due to their exceptional functionalities and abilities to be tuned for specific environmental conditions. Inspired by the emergence of tri-hybrid magnetic nanofluids which utilize three distinct nanoparticles in a single base fluid coating, the present article examines analytically and computationally the swirl coating of magnetic ternary hybrid nanofluid from a rotating disk, as a simulation of spin coating deposition processes in materials manufacturing. Owing to high temperature fabrication conditions, thermal radiative heat transfer is also considered and a Rossleand flux model deployed. -- hybrid nanoparticles are considered with Ethylene Glycol-Water () base fluid. A filtration medium is also featured (porous medium) adjacent to the disk and the Darcy-Forchheimer model is deployed to simulate both bulk matrix porous drag encountered at lower Reynolds numbers and inertial quadratic drag generated at higher Reynolds numbers. Thermal relaxation of the coating nanofluid is additionally addressed and a non-Fourier Cattaneo-Christov model is therefore implemented in the heat conservation equation. Viscous dissipation is also included in the model. The governing conservation equations for mass, momenta (radial, tangential and axial) and energy with prescribed boundary conditions are rendered into coupled nonlinear ordinary differential boundary layer equations via suitable scaling variables and the Von Karman transformations. The derived reduced boundary value problem is then solved with a Runge-Kutta numerical scheme and shooting scheme in MATLAB. Validation of solutions is included with previous studies. Radial and azimuthal velocities, temperature, radial skin-friction, azimuthal skin friction and local Nusselt number are computed for a range of selected parameters. A comparative assessment of mono nanofluid Hybrid - nanofluid and tri-Hybrid -- nanofluid is conducted. This combination of hybrid nanoparticles has never been examined previously in the literature and constitutes the significant novelty of the present work. Both radial and tangential velocity are depleted with increasing applied magnetic field whereas temperature and thermal boundary layer thickness are increased.

Exploring the perspectives of Asian American parents on their musically talented children in instrumental education

ABSTRACT This qualitative study employed Gagné Integrative Model of Talent Development as a conceptual framework to explore the perspectives of nine Asian American parents on their musically talented children in Western classical music culture in the United States. Musically talented children, defined by [Gagné, François, and Gary E. McPherson. 2016, September. “Analyzing Musical Prodigiousness Using Gagné’s Integrative Model of Talent Development.” In Oxford University Press EBooks, 3–114. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199685851.003.0001], as individuals who rank within the top 10% of their age peers. This distinction is made to differentiate talent from giftedness, which pertains to exceptional natural abilities or aptitudes. The analysis yielded five macro themes: (1) children's innate abilities and importance of hard work; (2) parental sacrifice and investment; (3) benefits and challenges; (4) influence from Asian culture; and (5) future expectations. This study offers deeper insights into the complex interplay between children's individual abilities and parental investment, which can be influenced by cultural identity and work ethics, especially in Asian American communities. The findings illuminate the intricate process of nurturing gifted and talented young children from a parental perspective and provide implications for how parents can support their children’s talent development.

The role of business school culture in building the non-PhD faculty's research attitudes and intention toward doctoral education.

Business schools face several challenges to keep business education relevant in a rapidly growing global environment. To overcome these challenges, business schools should hire or develop faculty with exceptional teaching abilities and high-quality research skills. This study examined the impact of business school culture on non-PhD permanent faculty in developing a research attitude that leads them to enroll in a PhD program. Through a self-administered questionnaire, data were collected using the proportionate method of stratified technique and analyzed using structural equation modeling. The findings suggest that business school culture significantly predicts research attitudes. Business schools that nurture a collaborative research culture are more likely to develop non-PhD faculty attitudes toward research. The development of this attitude helps business schools increase enrolment in PhD programs and thereby contribute to producing PhDs with high-quality research skills. The study recommends that business schools should develop a research-oriented culture that motivates non-PhD faculty to participate in research activities. In addition, research contributions should be rewarded and also acknowledged as a part of the faculty's annual performance evaluation process. This study contributes to the existing knowledge surrounding the social cognitive theory within business school culture.

Effect of particle size on second law of thermodynamics analysis of Al2O3 nanofluid: Application of XGBoost and gradient boosting regression for prognostic analysis

In this study, the current research delves into the influence of nanoparticle size on turbulent forced convective heat transfer, entropy generation, and friction factor. The investigation focused on three different sizes (30 nm, 50 nm, and 80 nm) of Al2O3 nanoparticles (NPs) suspended in a water-based nanofluid (NF) with a 1 vol% concentration flow in a circular tube. The nanoparticles (NPs) were characterized using various characterization techniques. The stability and pH of the NF were determined, and its viscosity (VST) and thermal conductivity (TC) were measured at a temperature of 60 °C. Heat transfer experiments were conducted with varying particle sizes and Reynolds number (Re), maintaining a fluid inlet temperature of 60 °C. The results indicated that the NF containing 30 nm particles exhibited higher VST and TC compared to the other samples and the base fluid. The maximum enhancement in Nu for Al2O3 (30 nm) and Al2O3 (80 nm) NFs is 60.7 and 18.5 % greater than that of base fluid, respectively. The maximum and minimum total entropy generation (Sgen,T) value of 0.499 and 0.286 observed for base fluid and Al2O3 NF (30 nm), respectively at low Re. The highest friction factor enhancement for Al2O3 NF (30 nm) exceeded by 9.4 % compared to the base fluid, and the maximum thermal performance factor observed for Al2O3 NF (30 nm) was 1.57. Finally, regression analysis was employed to establish correlations for estimating Nu and friction factor values. Prognostic models were developed using two sophisticated machine learning algorithms, XGBoost and Gradient Boosting Regression (GBR). Both models demonstrated exceptional prediction abilities, achieving over 99 % accuracy rates based on the experimental data.

Unraveling the synergistic effect of adsorption-photocatalysis in magnetically recyclable Fe3O4/metal-organic gels/sodium alginate beads for chlortetracycline hydrochloride elimination

The development of highly efficient and easily recyclable materials remains at the forefront of chlortetracycline hydrochloride (CTC) remediation. Herein, two magnetic metal-organic gels (Fe3O4/Fe-MOG and Fe3O4/Al-MOG) are constituted by an ultrafast room-temperature synthesis of MOGs on the surface of carboxylated Fe3O4, affording exceptional adsorption-photocatalysis abilities towards CTC under visible light irradiation, along with favorable magnetic separation capabilities. Meanwhile, the proposed synergistic mechanisms of adsorption-photocatalysis, the probable degradation pathways of CTC, and the underlying toxicity evaluation of intermediates are expounded. More importantly, we ingeniously develop Fe3O4/MOGs/SA beads with sodium alginate (SA) as the backbone and magnetic MOGs as the reaction center, which minimizes the loss of powdered Fe3O4/MOGs and ameliorates the recyclability. Attractively, Fe3O4/MOGs/SA beads achieve long-term continuous operation for CTC degradation in various water samples under visible light irradiation. Overall, this work highlights a new possibility for devising immobilized magnetic MOGs with adsorption-photocatalysis synergies in actual and large-scale wastewater remediation.

Improved vibration performance of a nonlinear rotor-seal system with modified labyrinth seals by an interpolating database method

Traditional studies for seal evaluation primarily focused on rotordynamic coefficients. We previously introduced two innovative labyrinth seals, the diaphragm labyrinth seal (DLS) and hole diaphragm labyrinth seal (HDLS), featuring enhanced rotordynamic and leakage characteristics. To delve into the dynamic response of these circumferentially discontinuous seals, which cannot be reduced to a 2D model, an interpolation database method (IDM) is proposed. Improved vibration performances are obtained in a nonlinear rotor-seal system with modified labyrinth seals. The Muszynska seal force model is compared with IDM for verification of accuracy. Comprehensive insights into the system's behavior were provided through metrics like the maximum Lyapunov exponent, time-domain waveform, spectrogram, Poincaré, displacement orbits, and phase maps. Results underscored IDM's accuracy for circumferentially continuous seals vis-a-vis Muszynska's model, showcasing exceptional solving abilities for discontinuous seals. Local subharmonic vibrations in rotor-DLS and rotor-HDLS systems were identified. Notably, HDLS demonstrated a 56.6% reduction in maximum amplitude compared to labyrinth seal (LS) and a 24.6% reduction compared to DLS. Maximum Lyapunov exponent outcomes emphasized HDLS’s superior stability among the three labyrinth seal types in rotor-seal system. Especially, HDLS maintained stability across diverse unbalanced mass conditions, further highlighting its versatility and application potential.

Rational design of bidirectional electrocatalysts and accelerated sulfur redox reactions in lithium-sulfur batteries

Lithium–sulfur (Li–S) batteries have emerged as one of the most promising energy storage solutions. However, its commercial application still faces a significant challenge: the sluggish redox reaction kinetics of the reversible lithium polysulfide (LiPS) conversion process. The strategic design of cathode structures and electrocatalysts can help accelerate polysulfide conversion. In this study, systematic density functional theory (DFT) calculations predict that the incorporation of platinum (Pt) nanoparticles, as a model electrocatalyst, into biomass carbon materials can effectively promote the bidirectional conversion of polysulfides. Detailed kinetic analyses reveal that Pt-doped biomass carbon materials possess exceptional electrocatalytic abilities for Li2S nucleation and dissociation. These findings are further elucidated by ex situ X–ray photoelectron spectroscopy measurements, elucidating the bidirectional mechanism of Pt. The sulfur cathode delivers a remarkable specific discharge capacity of 1386.9 mAh g–1 at 0.1 C. Even more impressive is its potential for practical applications, exemplified by a high initial capacity of 1218.7/1015.3 mAh g−1 and excellent cycling stability under a high sulfur loading of 4.5/7.5 mg cm−2, which achieved substantial capacity retention (83.9/81.1%) after 100 cycles. This bidirectional electrocatalysis, achieved through the synergy of metal with biomass carbon materials, presents an attractive approach for advancing Li–S systems.

Physiological parameters of professional football players in teams of various levels

Background and study aim. Soccer is a demanding sport which, in addition to technical and motor characteristics, also requires exceptional functional abilities of athletes to play at a high level. The aim of this study: 1) To analyze the disparities in physiological parameters among professional soccer players in teams of varying levels. 2) To explore potential connections between team ranking positions and the physiological attributes of professional soccer players. Material and Methods. 91 professional soccer players who compete in Serbian Super league (age 24.14±5.15) were included in the study. Participants were classified into two groups. The first group consisted of players from teams that were ranked from third to sixth place at the end of 2021/2022 competitive season (n=49). The second group of participants consisted of the players of the teams that were ranked in the last two places at the end of the above-mentioned season (n=42). Maximal oxygen consumption (VO2max), as well as running speeds and heart rates at first and second ventilatory thresholds (VT1 and VT2) were obtained by performing maximal cardiopulmonary exercise test. Results. The results showed a statistically significant difference in terms of VO2max values, running speeds and heart rates at VT1 and VT2 when the top and bottom ranked teams were compared (p < 0.001). Conclusion. The results of the study imply that playing high-level soccer requires exceptional functional abilities, which go beyond technical and tactical characteristics. These exceptional abilities enable players to continuously perform at high intensities during the games in order to achieve top results. Coaches should be aware of the importance of high aerobic capacity for achieving top results, especially if the team consists of less talented players.

Local and systemic mechanisms that control the hair follicle stem cell niche.

Hair follicles are essential appendages of the mammalian skin, as hair performs vital functions of protection, thermoregulation and sensation. Hair follicles harbour exceptional regenerative abilities as they contain multiple somatic stem cell populations such as hair follicle stem cells (HFSCs) and melanocyte stem cells. Surrounding the stem cells and their progeny, diverse groups of cells and extracellular matrix proteins are organized to form a microenvironment (called 'niche') that serves to promote and maintain the optimal functioning of these stem cell populations. Recent studies have shed light on the intricate nature of the HFSC niche and its crucial role in regulating hair follicle regeneration. In this Review, we describe how the niche serves as a signalling hub, communicating, deciphering and integrating both local signals within the skin and systemic inputs from the body and environment to modulate HFSC activity. We delve into the recent advancements in identifying the cellular and molecular nature of the niche, providing a holistic perspective on its essential functions in hair follicle morphogenesis, regeneration and ageing.

Leveraging Attention-Based Convolutional Neural Networks for Meningioma Classification in Computational Histopathology.

Convolutional neural networks (CNNs) are becoming increasingly valuable tools for advanced computational histopathology, promoting precision medicine through exceptional visual decoding abilities. Meningiomas, the most prevalent primary intracranial tumors, necessitate accurate grading and classification for informed clinical decision-making. Recently, DNA methylation-based molecular classification of meningiomas has proven to be more effective in predicting tumor recurrence than traditional histopathological methods. However, DNA methylation profiling is expensive, labor-intensive, and not widely accessible. Consequently, a digital histology-based prediction of DNA methylation classes would be advantageous, complementing molecular classification. In this study, we developed and rigorously assessed an attention-based multiple-instance deep neural network for predicting meningioma methylation classes using tumor methylome data from 142 (+51) patients and corresponding hematoxylin-eosin-stained histological sections. Pairwise analysis of sample cohorts from three meningioma methylation classes demonstrated high accuracy in two combinations. The performance of our approach was validated using an independent set of 51 meningioma patient samples. Importantly, attention map visualization revealed that the algorithm primarily focuses on tumor regions deemed significant by neuropathologists, offering insights into the decision-making process of the CNN. Our findings highlight the capacity of CNNs to effectively harness phenotypic information from histological sections through computerized images for precision medicine. Notably, this study is the first demonstration of predicting clinically relevant DNA methylome information using computer vision applied to standard histopathology. The introduced AI framework holds great potential in supporting, augmenting, and expediting meningioma classification in the future.

An anti-fouling wearable molecular imprinting sensor based on semi-interpenetrating network hydrogel for the detection of tryptophan in sweat

The challenge of heavy biofouling in complex sweat environments limits the potential of electrochemical sweat sensors for noninvasive physiological assessment. In this study, a novel semi-interpenetrating hydrogel of PSBMA/PEDOT:PSS was engineered by interlacing PEDOT:PSS conductive polymer with zwitterionic PSBMA network. This versatile hydrogel served as the foundation for developing an anti-fouling wearable molecular imprinting sensor capable of sensitive and robust detection of tryptophan (Trp) in complex sweat. The incorporation of PEDOT:PSS conductive polymer into the semi-interpenetrating hydrogel introduced diverse physical crosslinks, including hydrogen bonding, electrostatic interactions, and chain entanglement. This incorporation considerably boosted the hydrogel's mechanical robustness and imparted commendable self-healing property. At the same time, the synergistic coupling between the well-balanced charge of the zwitterionic network and the high conductivity of the PEDOT:PSS polymer facilitated efficient charge transfer. The formation of the desired molecular imprinting membrane of semi-interpenetrating hydrogel was triggered by self-polymerization of dopamine (DA) in the presence of Trp. The designed biosensor demonstrated good sensitivity, selectivity and stability in detecting the target Trp. Notably, it also exhibited exceptional anti-fouling abilities, allowing for accurate Trp detection in complex real sweat samples, yielding results comparable to commercial enzyme-linked immunoassay (ELISA).

NON-VERBAL DAKWAH COMMUNICATION MODEL IN THE USE OF SIGN-LANGUAGE

Not all individuals with disabilities experience limitations; in fact, many of those around us possess exceptional talents and abilities, sometimes surpassing those of individuals without disabilities. One illustrative example is Ning Deyiez, who has garnered attention through her advocacy efforts. She seamlessly combines sign[1]language communication with the courage to promote and uphold the Islamic faith. The author intends to conduct a direct observation of Ning Deyiez's advocacy activities with the aim of gaining a deeper understanding. This observation will be supplemented by interviews with interpreters, the research subjects themselves, and the fellow advocates who regularly participate in these weekly activities. Keywords: Da'wah, Sign-Language, Non-Verbal Communication.