Variations In Orientation Research Articles

Investigation and prediction of fatigue performance of SLM 316 L stainless steel based on small build orientation variations and heat treatment effects

Additive manufacturing (3D printing) has facilitated the creation of complex structures, including lattices with diverse build angles. Since lattices often face quasi-static and cyclic loads, understanding material properties across a wide range of printing angles, post-processing conditions, and loading scenarios is crucial. This study explores the effects of building orientations beyond conventional 0, 45, and 90 degrees on the mechanical properties of 316 L steel, produced by laser powder bed fusion. Quasi-static and cyclic tensile tests were performed to evaluate mechanical behavior in as-built and heat-treated conditions, followed by predictive model development. The ultimate strength showed a modest variation of 7% in the as-built condition, while the heat-treated state exhibited a greater variation of 13%. Fatigue tests indicated minor differences between conditions in the low-cycle region but larger gaps in the high-cycle region, where heat-treated samples generally showed superior performance. Inclination angle had a greater effect on fatigue life in the as-built state, with horizontal part orientations outperforming vertical ones. The predictive model demonstrated robust reliability, with nearly 90% of data within an accepted scatter factor of less than three. Requiring minimal experimental data (two fatigue curves per condition), the model is valuable for forecasting fatigue behavior in complex lattice structures.

A universal and effective variational method for destriping: application to light-sheet microscopy, FIB-SEM, and remote sensing images

Stripe artifacts are a common problem for various imaging techniques such as light-sheet fluorescence microscopy (LSFM), electron microscopy, and remote sensing. These artifacts are characterized by their elongated shapes, compromised image quality, and impede further analysis. To address the primary challenge of removing the stripe artifacts while preserving the object structures we present an improved variational method for stripe removal with intuitive parametrization. Comparison against previously published methods on images from LSFM, FIB-SEM, and remote sensing by visual inspection and quantitative metrics demonstrates the superior capability of the approach. Based on synthetic LSFM data obtained by simulation of physical light-propagation we enriched our analysis by the comparison of processed images to ground truth data and quantitatively confirmed that our method outperforms existing solutions in terms of improved removal of artifacts and retention of image structures. The open availability of our solution and the flexibility in handling variations in stripe orientation and thickness ensure its broad applicability across diverse imaging scenarios.

Understanding Protein Adsorption on Carbon Nanotube Inner and Outer Surfaces by Molecular Dynamics Simulations.

Biomolecules, such as proteins, can form complexes with carbon nanotubes (CNTs), which have numerous applications in nanobiotechnology. Proteins can be adsorbed onto either the inner walls or outer surfaces of CNTs via van der Waals interactions; however, the differences between these two processes remain poorly understood. In this work, we performed classical all-atom molecular dynamics simulations with explicit solvents to investigate the interaction between a model protein, the Yap65 WW domain, and (22,22) CNTs and larger. The Yap65 WW domain comprises three β-sheet segments and contains three key aromatic residues: TRP17, TYR28, and TRP39. Our findings reveal distinct interaction mechanisms for the inner and outer surfaces of large CNTs. The protein's interaction with the inner surface is governed by the interplay between surface curvature and adsorption orientation. In the confined space of the CNT channel, variations in tube curvature and adsorption orientation give rise to specific binding modes, resulting in varying degrees of protein conformational change. In contrast, on the outer surface of large CNTs, where space is less restricted, the adsorption orientation plays a more dominant role. Specifically, the orientation in which more aromatic residues directly interact with the surface suffer from the greater structural loss, regardless of the tube curvature. Finally, protein-CNT binding free energies were calculated using the Poisson-Boltzmann surface area (MM-PBSA) method and steered molecular dynamics simulations based on Jarzynski equality, demonstrating that protein desorption from CNTs is highly dependent on binding configurations. This study reveals the influence of confined space on protein adsorption and the critical role of CNT curvature in modulating β-sheet stability.

Aggregation Induced Emissive Liquid Crystals‐Polymer Composite Membrane for Dual‐Channel Analysis of Parathyroid Hormone

ABSTRACTParathyroid hormone (PTH) is an important factor in maintaining blood calcium levels in the human body. Therefore, monitoring PTH levels is essential for assessing the various diseases progression and managing overall health. In this study, a fluorescence and optical sensor based on an aggregation‐induced emissive liquid crystal photopolymer (AIE‐LC‐Poly) film was established for the qualitative and quantitative detection of PTH. The specific interaction between PTH and anti‐PTH on the substrate surface was utilized, and variations in orientation and aggregation state of the fluorescent LCs were evaluated by both optic and fluorescent means. The detection limit for PTH using optical image was above 10 µg/mL, while fluorescence detection achieved a much lower limit of 1 ng/mL. Additionally, the photopolymer further amplified the detection signals by strengthening the AIE effect of the fluorescent LCs in initiate state, and enhancing the disturbance of LCs ordered orientation upon PTH addition. Ultimately, the detection limits for PTH were reduced to 0.01 µg/mL for optical detection and 50 pg/mL for fluorescence detection. The quantitative and sensitive AIE‐LC‐Poly biosensing technology presented here sets the stage to develop LC‐based sensor for biomedical applications without labeling.

Large-eddy simulations of Francis turbine flow control by radial jets

Francis turbine operation often experiences part load conditions, at which precessing vortex core (PVC) and double-helix structures can occur, limiting the stable operation range. The study investigates the mitigation of these flow instabilities in a Francis turbine air model by implementing radial jet injection. This approach is based on linear stability analysis and its adjoint formulation, revealing sensitive flow areas. Manipulating these zones can significantly impact instability dynamics. We perform large-eddy simulation of turbulent swirling flow in the Francis turbine model and employ radial injection through 12 circularly distributed holes on the runner crown tip with an injection flow rate of 2% of the inlet flow rate. A comparison with experimental data and a convergence study demonstrated good agreement in velocity fields and pulsation characteristics. Flow control was conducted for a wide range of hole positions and different angles between radial jets and the base flow. Spectral analysis of wall-pressure fluctuations revealed an optimal hole position, coinciding with the experimental results. However, flow control in simulations was less effective, reducing pressure pulsations of azimuthal flow modes m = 0, 1, 2 × 64, 33, and 17%, accordingly. Variation of the jet angle orientation demonstrated the highest pressure variance suppression for 90°. In pressure variance contours, PVC diminishing was observed near the runner crown, but that was amplified downstream.

Improving Nanoparticle Size Estimation from Scanning Transmission Electron Micrographs with a Multislice Surrogate Model.

The computational cost of simulating scanning transmission electron microscopy (STEM) images limits the curation of large enough data sets to train accurate and robust machine learning networks for deep feature extraction from atomically resolved STEM images. For nanoparticle size estimation in particular, a diverse data set is essential due to the large variations in size, shape, crystallinity, orientation, and dynamical diffraction effects in experimental data. To address this, we train a 3D convolutional neural network to predict STEM images from voxelized atomic models, achieving a 100x speed-up compared to traditional multislice simulations while maintaining high image quality. We then generate a data set of 100.000 synthetic multislice images and investigate the performance of different size-estimator architectures as a function of training set size. A ResNet18-based model trained on 4000 real and 100.000 synthetic images is found to perform the best, reducing the median size-estimation error from 9.89% without synthetic data to 5.26%.

Hand Gesture Recognition for Virtual Mouse Control

Our work delved into the complexities of real-time hand motion interpretation and fingertip recognition to simulate the functionality of a traditional mouse. We developed a python-based technique that seamlessly translates hand movements into mouse commands by analyzing the angles between fingers and calculating the ratio of the hand’s silhouette to its convex hull. Our methodology was refined to ensure an intuitive and accurate user experience. However, challenges remained in achieving robustness and accuracy in gesture recognition systems in various scenarios, including variations in lighting, hand orientation, and individual human characteristics. These factors had a significant impact on system performance and reliability. To address these challenges, our approach incorporated the algorithms and machine learning models designed to adapt to different conditions. Despite these advances, further research and development were essential to improve the reliability and comprehensiveness of gesture recognition technologies.

Motor variability regulation analysis in trampolinists.

In trampolining, optimizing body orientation during landing reduces injury risk and enhances performance. As trampolinists are subject to motor variability, anticipatory inflight corrections are necessary to regulate their body orientation before landing. We investigated the evolution of a) body orientation and b) limb position (i.e., arms and legs) variabilities. Secondary objectives were to investigate c) the link between acrobatics difficulty and the variability accumulation, and d) to identify links between body orientation variability and gaze orientation. Kinematics and gaze orientation were captured using inertial measurement units and an eye tracker, respectively. Seventeen trampolinists performed up to 13 different acrobatics (different number of rotations in twist and somersault). Intra-trampolinist pelvis orientation and limb position inter-trial variability was computed for each acrobatic at three key timestamps: takeoff, 75% completion of the twist, and landing. Pelvis orientation variability significantly increased between takeoff and the instant when 75% of the twist is completed (+75%) and then decreased from the instant when 75% of the twist is completed until landing (-39%). Conversely, limb variability decreased (upper limbs: -66% and lower limbs: -46%), before increasing (+357% and +127%), suggesting that trampolinists adapted their limb kinematics to regulate pelvis orientation before landing. It was qualitatively observed that this decrease in body orientation variability occurred mostly when trampolinists were looking at the trampoline bed before landing. In addition, there was a moderate correlation between the number of twists in a straight somersault and the variability accumulation at 75% of the twist, highlighting that trampolinists accumulate more variability as the number of twist rotations increases.

Raman and ATR-FTIR unmask crystallinity changes and carboxylate group and vinyl group accumulation in natural weathering polypropylene microplastics

Naturally weathered polypropylene (NWPP) samples are useful for investigating the effects of various degradation factors that cannot be obtained in artificial laboratory experiments. In this study, NWPP samples were extracted from beach sediments (Ashiya, Hyogo, Japan). Raman and attenuated total reflection (ATR)–Fourier-transform infrared (FTIR) spectroscopies were used to analyze variations in the composition, crystallinity, orientation, and degradation of NWPP microplastics. The degree of degradation varies from sample to sample, from position to position in a sample, and the inside surface or outside surface of a sample. Significant intensity variations were observed for Raman bands at 1150 and 842 cm⁻¹, indicating changes in the crystallinity and molecular orientation of NWPP due to degradation. The Raman spectra of the elongated pristine PP showed intensity increases at 1150, 998, and 842 cm−1, indicating variations in the molecular orientation of the polymer chains induced by elongation. The ATR-FTIR spectra of NWPP yield several major new features in the 3600 –3200 cm−1 (OH stretching), 1750–1500 cm−1 (C=O/C=C/COO− stretching), and 1150–900 cm−1 (C–O/C–C stretching) regions. Of particular note is that in the 1750–1500 cm−1 region, at least four bands due to two kinds of vinyl groups and two kinds of carboxylate groups are clearly observed in the second derivative spectra, while bands arising from carbonyl compounds are weak. This may be the first time that the carboxylate bands have ever appeared more strongly than the carbonyl bands in the IR spectra of NWPP. The appearance of the carboxylate bands indicates two possibilities: one is the effect of seawater on the degradation of NWPP samples, and another is the oxidation of keto groups to the carboxylates. Moreover, since a few kinds of vinyl compounds and carboxylates are produced, it is very likely that the degree of degradation is high in the NWPP samples. In this way, IR spectroscopy is useful for exploring the degradation of NWPP while Raman spectroscopy is effective for examining variations in their crystallinity and orientation.

Navigating ethics in HIV data and biomaterial management within Black, African, and Caribbean communities in Canada

BackgroundThis study explored the ethical issues associated with community-based HIV testing among African, Caribbean, and Black (ACB) populations in Canada, focusing on their perceptions of consent, privacy, and the management of HIV-related data and bio-samples.MethodsA qualitative community-based participatory research (CBPR) approach was employed to actively engage ACB community members in shaping the research process. The design included in-depth qualitative interviews with 33 ACB community members in Manitoba, Canada. The study was guided by a Community Guiding Circle, which contributed to study design, data analysis, and interpretation. A diverse sample was recruited through community agencies, social media, and flyers, with considerations for variations in age, gender, sexual orientation, and geographical location. The study employed iterative inductive thematic data analysis.FindingsParticipants expressed significant concerns about the collection, sharing, and use of HIV data from healthcare encounters, revealing mistrust towards institutions like police, child welfare, and immigration accessing their health information. Their worries centered on the handling of biological samples, data misuse, potential human rights violations, HIV criminalization, deportations, challenging consent, privacy, and bodily autonomy principles. While open to contributing to medical research, they unanimously demanded greater transparency, informed consent, and control over the secondary use of their health data.ConclusionsThe study underscores the need for culturally safe approaches in HIV testing and ethical governance in healthcare for ACB communities. It highlights the importance of prioritizing participant empowerment, ensuring transparency, practicing informed consent, and implementing robust data security measures to balance effective HIV information management with the protection of individual rights.

LOCATIONAL AND ORIENTATION VARIATION IN VISCOELASTIC PROPERTIES OF A CORTICAL BONE UNDER DYNAMIC LOADING

Bone behaves as a complex composite material, and is highly heterogenous and anisotropic in nature due to its hierarchical structure. The effect of the location and orientation of bone specimens on the viscoelastic properties of bovine femoral cortical bone was examined in this study. The bone samples were extracted from different locations i.e., proximal, central and distal along the direction of longitudinal and transverse and underwent sinusoidal loading. The longitudinal orientation shows more values of loss tangent and loss modulus in comparison to transverse orientation bone samples. Across locations reveal no significant difference in the storage modulus, loss tangent, loss modulus and complex modulus. The trends in the complex and storage moduli remain consistent within both types of orientations. Significant differences were observed across the locations for both storage and recovered energy, with no variance in the hysteresis loss. The findings from the study shall help in a deep understanding of the bone biomechanics, offering insights for material design and orthopedic interventions in biomechanical engineering.

Evaluating continental channel-hosted Lockeia orientation as a paleoflow indicator: insights from the Jurassic Brushy Basin Member, Western United States

Although bivalves can orient infaunal body position to current direction, trace fossils of bivalves have rarely been corroborated against paleocurrent directions determined from physical sedimentary structures. This study compares Lockeia (bivalve-generated trace fossil) orientation and length to the three-dimensional bedform cross-strata dip direction from fluvial deposits at two localities in the Late Jurassic Brushy Basin Member (Morrison Formation) of the western United States. Lockeia mean orientation at each site are comparable, but tangential, to physical sedimentary structure mean orientations. Comparing accuracy (within one standard deviation) and precision (within two standard deviations) in-context of five macroform surfaces, the Lockeia measurements are more accurate indicators of current direction than the physical sedimentary structures. Conversely, the physical sedimentary structures are more precise than the Lockeia measurements. This dissimilarity is partly a function of the variability of cross-stratum dip orientation produced by three-dimensional bedforms resultant from the tangential nature of the bedform, its preservation, and the method by which these are measured. Lockeia has greater paleocurrent representation accuracy than physical sedimentary structures since it is a linear measurement rather than a collection of measurements that can be tangential to paleoflow. Lockeia measurements show shifts vertically and laterally with macroform changes indicating potential use for identifying local changes in paleocurrent direction.

Dynamic mechanical analysis of additively manufactured continuous Kevlar fiber-reinforced nylon composites across variable fiber orientations

This study examines the dynamic mechanical properties of composites made via continuous filament fabrication, an additive manufacturing (AM) technique. Four Nylon/Kevlar samples with varying fiber orientations were produced, each with a 0.1 mm layer height and 3 mm total thickness, resulting in a fiber volume fraction of 15.71 % to 18.44 %. Dynamic mechanical analysis (DMA) was used to assess viscoelastic behavior, focusing on storage modulus, loss modulus, and damping factor (tan delta). The specimen F_NK1 exhibited the highest initial storage modulus, with gradual stiffness loss at higher settling temperatures (Ts), while F_NK2 showed a steeper decline, and F_NK3 and F_NK4 had lower initial moduli and greater temperature sensitivity.

InsectNet: Real-time identification of insects using an end-to-end machine learning pipeline.

Insect pests significantly impact global agricultural productivity and crop quality. Effective integrated pest management strategies require the identification of insects, including beneficial and harmful insects. Automated identification of insects under real-world conditions presents several challenges, including the need to handle intraspecies dissimilarity and interspecies similarity, life-cycle stages, camouflage, diverse imaging conditions, and variability in insect orientation. An end-to-end approach for training deep-learning models, InsectNet, is proposed to address these challenges. Our approach has the following key features: (i) uses a large dataset of insect images collected through citizen science along with label-free self-supervised learning to train a global model, (ii) fine-tuning this global model using smaller, expert-verified regional datasets to create a local insect identification model, (iii) which provides high prediction accuracy even for species with small sample sizes, (iv) is designed to enhance model trustworthiness, and (v) democratizes access through streamlined machine learning operations. This global-to-local model strategy offers a more scalable and economically viable solution for implementing advanced insect identification systems across diverse agricultural ecosystems. We report accurate identification (>96% accuracy) of numerous agriculturally and ecologically relevant insect species, including pollinators, parasitoids, predators, and harmful insects. InsectNet provides fine-grained insect species identification, works effectively in challenging backgrounds, and avoids making predictions when uncertain, increasing its utility and trustworthiness. The model and associated workflows are available through a web-based portal accessible through a computer or mobile device. We envision InsectNet to complement existing approaches, and be part of a growing suite of AI technologies for addressing agricultural challenges.

ПРАВОМЕРНОСТЬ КАК ОСНОВА СООТВЕТСТВИЯ ПРАВОВЫМ ЦЕННОСТЯМ И ИДЕАЛАМ

This article reveals the category of legitimacy as the basis of legal values and ideals in relation to such categories as legality, expediency, normativity, discipline. The correlation of the categories of «legitimacy» and «legality», «legal values» and «legality» is established. The authors have made an attempt to determine the criteria of legality in accordance with its role and importance in the life of society, multitasking and historical variability of value orientations.

Advances in the molecular understanding of GPCR-arrestin complexes.

Arrestins are essential proteins for the regulation of G protein-coupled receptors (GPCRs). They mediate GPCR desensitization after the activated receptor has been phosphorylated by G protein receptor kinases (GRKs). In addition, GPCR-arrestin interactions may trigger signaling pathways that are distinct and independent from G proteins. The non-visual GPCRs encompass hundreds of receptors with varying phosphorylation patterns and amino acid sequences, which are regulated by only two human non-visual arrestin isoforms. This review describes recent findings on GPCR-arrestin complexes, obtained by structural techniques, biophysical, biochemical, and cellular assays. The solved structures of complete GPCR-arrestin complexes are of limited resolution ranging from 3.2 to 4.7 Å and reveal a high variability in the relative receptor-arrestin orientation. In contrast, biophysical and functional data indicate that arrestin recruitment, activation and GPCR-arrestin complex stability depend on the receptor phosphosite sequence patterns and density. At present, there is still a manifest lack of high-resolution structural and dynamical information on the interactions of native GPCRs with both GRKs and arrestins, which could provide a detailed molecular understanding of the genesis of receptor phosphorylation patterns and the specificity GPCR-arrestin interactions. Such insights seem crucial for progress in the rational design of advanced, arrestin-specific therapeutics.

Study Of The Effect Of Variations In Fiber Orientation On The Tensile Strength Properties Of Polyester Composites Reinforced Abaca Fiber

A composite is a material formed from a combination of two or more constituent materials using a heterogeneous mixing process, whose mechanical properties vary. The aim of this research is to compare the tensile strength values ​​of abaca banana stem fiber polyester composites with variations in fiber orientation. The fiber orientation used is parallel, random and woven. The method used is a hand lay-up press with a fiber volume fraction of 30% and the resin itself uses BQTN 157 EX polyester resin with a hand lay-up method using a glass mold. The test was carried out by tensile testing using the ASTM D3039 measurement standard and macro photos. The results of research on tensile testing show that composites with variations in parallel fiber orientations reinforced with abaca banana stem fibers have an average tensile strength of 39.63 MPa, variations in random fiber orientation have an average tensile strength of 32.87 MPa and variations in fiber orientation woven has an average tensile strength of 25.90 MPa. From the results of macro photo fracture observations, it was found that the type of fracture is a brittle fracture on an uneven fracture surface which causes fiber pull-out where the fibers appear to be coming out of the specimen because the matrix and fibers are not strongly bonded and the fracture is also caused by voids near the fibers.

Optimizing duodenal tissue acquisition for mechanistic studies of duodenal ablation in type 2 diabetes

Introduction Histological analysis of regular duodenal biopsies to study morphologic changes after duodenal ablation for type 2 diabetes (T2D) and metabolic syndrome is hampered by the variability in tissue orientation. We designed an optimized tissue acquisition protocol using duodenal cold snare resections to create tissue microarrays (TMAs) and to allow for single-cell RNA sequencing (scRNA-seq). Methods The open-label DIRECT study included patients undergoing an upper gastrointestinal interventional endoscopy for non-duodenal indications. All underwent 1-2 single-piece duodenal cold snare resections. Endpoints were safety, adequate histological orientation of specimen and TMA, and tissue dissociation quality for scRNA-seq. The optimized tissue acquisition protocol was validated in a duodenal ablation study, EMINENT-2. Results In DIRECT, nine patients were included in whom a total of 16 cold snare resections were obtained. No (severe) adverse events ([S]AEs) occurred. 80% of specimens and corresponding TMAs showed optimal tissue orientation. Further improvement was achieved by reducing tissue damage during endoscopic retrieval and improving histologic evaluation by eliminating ink use and pinning the tissue on cork. High-quality tissue dissociation scores for scRNA-seq were achieved in 13/18 (72%) samples. In EMINENT-2, 38 cold snares were obtained without (S)AEs, histopathologic analysis showed good orientation in all samples and dissociation scores for scRNA-seq were qualified in 35/38 (92%) samples. Discussion Duodenal cold snare resection is safe and can provide high-quality tissue for optimally oriented TMAs and high-quality tissue dissociation scores for scRNA-seq;Clinicaltrials.gov, NCT06333093, NCT05984238. This approach will allow mechanistic studies into the effects of duodenal ablation on metabolic syndrome and T2D.

SAĞLIK ÇALIŞANLARININ DEĞİŞEN KARİYER YÖNELİMLERİ: DEVLET HASTANESİ ÖRNEĞİ

It is thought that this study will create personal awareness on the career path. Another important aspect of this study is that it contributes to educators on issues that may be related to the career expectations of healthcare professionals. Apart from these, it is anticipated that the results obtained will provide ideas for healthcare professionals on how to manage their own Professional perceptions and career plans. Quantitative research approach was used in the research. In this context, it has been determined whether there is a difference between variable and unlimited career orientation scores according to the demographic characteristics of health workers. The population of the research consists of healthcare professionals working in various positions in Edirne Sultan Murat 1st State Hospital, which serves in the central district of Edirne province. The research was carried out in the period of February-May 2023. The research data were collected through a questionnaire formed from the scales whose validity and reliability were tested. The population of the research consists of healthcare professionals working in various positions in Edirne Sultan Murat 1st State Hospital, which serves in the central district of Edirne province. The data obtained from 203 participants who voluntarily participated in the research were used within the scope of the research. The questionnaires were filled by the participants face to face with the researcher. The questionnaire form consists of two parts. In the first part of the survey; Statements aimed at determining the demographic characteristics of the participants (gender, marital status, age, position, education, length of service, length of service in the current institution and the place where they lived fort he longest period of time) were included. The second part consists of 27 questions about career orientation perceptions. In order to measure the unlimited and variable career orientations of the people participating in the research, unlimited and variable career orientation scales developed by Briscoe et al. in 2006 were used. The Turkish validity and reliability of the scales were performed by Çakmak (2011). The variable career orientation scale consists of two dimensions, namely self-direction of one’s career and value-oriented career management and a total of 14 statements. The sub- dimension of directing one’s own career consists of 8 statements and the sub- dimension of value-oriented career management consists of 6 statements. Unlimited scales of career orientation; it consists of two sub- dimensions, limitless thinking and inter-organizational mobility preference and a total of 13 statements. Boundless thinking sub- dimension consists of 8 statements and the preference for inter-organizational mobility sub- dimension consists of 5 statements. A 5-point Likert –type rating scale was used to evaluate whether the expressions in the scale reflectthe views of the participants. The conformity of the quantitative data to the normal distribution was examined with the Shapiro Wilk test. Mann Whitney U test was used to compare the scale scores of the variables consisting of 2 categories. Kruskal Wallis test was used to compare the scale scores of the variables consisting of more than 2 categories. Statistical analyzes were performed using the SPSS 20.0 package program. According to the findings, as the age of the individuals and the monthly total family income increase, their unlimited career orientation decreases. In addition, it is concluded that those with low family income have a significantly higher level of desire to change organization. With this research, it was concluded that nurses/midwives, according to doctors are establishing business relationships beyond the boundaries of the organization and tend to physically exceed the organizational boundaries.

Navigating Islamic Da'wah for Polygamous Family Resilience: Family Communication and the Islamic Mindset

This research examines navigating polygamous family dynamics: family communication and mindset in an Islamic context using a mixed methods explanatory model. Quantitative data from respondents to measure the correlation and influence of family communication, family structure, and religious orientation on the resilience of polygamous families. In contrast, qualitative data from informants were used to analyze navigating polygamous family dynamics: family communication and mindset in an Islamic context which includes communication in building family meaning, relationship maintenance, and problem-solving in polygamous families. The results showed that the resilience of polygamous families can be maintained if family communication, family structure, and religious orientation used are in line with or well accepted by all family members. The calculated F value of 51.331> the F table value of 2.73 and the sig value is 0.01 <0.05 then H0 is rejected and Ha is accepted, meaning that the variables of Family Communication (X1), Family structure (X2), and Religious orientation (X3) affect family resilience (Y). Islamic Da'wah, when applied correctly and contextually, can play an important role in strengthening the resilience of polygamous families by improving effective communication and using the right Islamic mindset.