Adaptive Properties Research Articles

Cultural translation of the ethical dimension: a study on the reliability and validity of the Chinese nurses’ professional ethical dilemma scale

BackgroundQuantifying the professional ethical challenges that nurses encounter is crucial for both theoretical insights and practical outcomes. The objective of this research is to assess the psychometric properties of the Chinese adaptation of the Moral Distress Scale for Healthcare Professionals (MD-APPS).MethodsIn 2024, a survey approach was utilized to engage with several tertiary-level healthcare institutions throughout China. A cohort of 448 nursing professionals who satisfied the specified selection benchmarks was consequently incorporated into the study. To evaluate the scale's reliability and validity, methods including the Content Validity Index (CVI), Factor Analysis—both Exploratory (EFA) and Confirmatory (CFA)—alongside assessments of internal consistency and test-retest reliability were employed.ResultsExpert evaluations yielded an I-CVI of 0.90, suggesting good content validity for the MD-APPS's Chinese adaptation. Exploratory Factor Analysis (EFA) revealed a bi-dimensional framework with 7 components, explaining 56.34% of the cumulative variance. Confirmatory Factor Analysis (CFA) outcomes displayed a χ-square/df ratio of 1.542. The estimate for Robust RMSEA was 0.054, and the SRMR was ascertained to be 0.041. Indices for both Robust TLI and Robust CFI surpassed the 0.9 threshold, indicating an acceptable fit; this aspect was supported by a P-value (Chi-square) of 0.094. The internal consistency, measured by Cronbach's α, was found to be 0.74, while the test-retest reliability over a two-week period reached 0.964. These findings provide initial evidence for the psychometric properties of the Chinese MD-APPS.ConclusionThe Chinese adaptation of the MD-APPS demonstrates promising initial psychometric properties, suggesting its potential suitability for exploring nurses' professional ethical challenges within the Chinese cultural context. This scale may facilitate the identification of diverse elements influencing nurses' professional ethics and the assessment of the ethical climate in nursing practices. However, further validation studies are needed to fully establish its psychometric robustness across various healthcare settings in China.

Effect of exo-fiber ring, volume fraction and moisture on the mechanical properties of the 3D printed onyx-carbon fiber composite: an experimental study

Abstract The present study investigates the potential of onyx-carbon fiber composites for automotive applications, like bumpers focusing on mechanical properties and water absorption behaviour. The study involves tensile, compression, and flexural tests, alongside water absorption analysis, to determine the optimal composite configuration. Results indicate that higher carbon fiber volume fractions (10%–15%) and multiple concentric layers (exo-fibers) (3–4) significantly enhance the mechanical performance. The configuration of three concentric layers with 15% carbon fiber demonstrates superior tensile strength, compressive strength, and flexural strength, along with minimal long-term water absorption. This configuration offers a balanced combination of high strength, energy absorption, and durability, making it ideal for enhancing vehicle safety and performance. Future research should focus on optimizing manufacturing techniques and exploring smart material integration to further improve the adaptive properties and damage detection capabilities of these composites, paving the way for next-generation automotive technologies.

Robust generalized PCA for enhancing discriminability and recoverability

The dependency of low-dimensional embedding to principal component space seriously limits the effectiveness of existing robust principal component analysis (PCA) algorithms. Simply projecting the original sample coordinates onto orthogonal principal component directions may not effectively address various noise-corrupted scenarios, impairing both discriminability and recoverability. Our method addresses this issue through a generalized PCA (GPCA), which optimizes regression bias rather than sample mean, leading to more adaptable properties. And, we propose a robust GPCA model with joint loss and regularization based on the ℓ2,μ norm and ℓ2,ν norms, respectively. This approach not only mitigates sensitivity to outliers but also enhances feature extraction and selection flexibility. Additionally, we introduce a truncated and reweighted loss strategy, where truncation eliminates severely deviated outliers, and reweighting prioritizes the remaining samples. These innovations collectively improve the GPCA model’s performance. To solve the proposed model, we propose a non-greedy iterative algorithm and theoretically guarantee the convergence. Experimental results demonstrate that the proposed GPCA model outperforms the previous robust PCA models in both recoverability and discrimination.

Courage Measure (CM) – Cross-Cultural Adaptation and Psychometric Properties for Brazilian Adolescents

Abstract: The objective of the study was to adapt the Courage Scale and estimate validity evidence based on content and internal structure. The study included 510 young people, between 14 and 19 years old. The results of the content validity coefficient suggested the adequacy of the content. Confirmatory factor analysis (CFA) was used to test three factor models, namely one-factor, two-factor, and the random intercept model. The results indicated that it is possible to measure courage through a factor, when the acquiescent response style is controlled, corroborating the theoretical perspective, given that the random intercept model adjusted well to the sample data. In other words, the findings indicate that the scale is capable of measuring courage in the Brazilian context and that acquiescence control is an important method in evaluating the construct.

A multifunctional self-reinforced injectable hydrogel for enhancing repair of infected bone defects by simultaneously targeting macrophages, bacteria, and bone marrow stromal cells

Injectable hydrogels (IHs) have demonstrated huge potential in promoting repair of infected bone defects (IBDs), but how to endow them with desired anti-bacterial, immunoregulatory, and osteo-inductive properties as well as avoid mechanical failure during their manipulation are challenging. In this regard, we developed a multifunctional AOHA-RA/Lap nanocomposite IH for IBDs repair, which was constructed mainly through two kinds of reversible cross-links: (i) the laponite (Lap) crystals mediated electrostatic interactions; (ii) the phenylboronic acid easter bonds between the 4-aminobenzeneboronic acid grafted oxidized hyaluronic acid (AOHA) and rosmarinic acid (RA). Due to the specific structural composition, the AOHA-RA/Lap IH demonstrated superior injectability, self-recoverability, spatial adaptation, and self-reinforced mechanical properties after being injected to the bone defect site. In addition, the RA molecules could be locally released from the hydrogel following a Weibull model for over 10 days. Systematic in vitro/vivo assays proved the strong anti-bacterial activity of the hydrogel against Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli). Moreover, its capability of inducing M2 polarization of macrophages (Mφ) and osteogenic differentiation of bone marrow stromal cells (BMSCs) was verified either, and the mechanism of the former was identified to be related to the JAK1-STAT1 and PI3K-AKT signaling pathways and that of the latter was identified to be related to the calcium signaling pathway, extracellular matrix (ECM) receptor interaction and TGF-β signaling pathway. After being implanted to a S. aureus infected rat skull defect model, the AOHA-RA/Lap IH significantly accelerated repair of IBDs without causing significant systemic toxicity. Statement of significanceRosmarinic acid and laponite were utilized to develop an injectable hydrogel, promising for accelerating repair of infected bone defects in clinic. The gelation of the hydrogel was completely driven by two kinds of reversible cross-links, which endow the hydrogel superior spatial adaption, self-recoverability, and structural stability. The as-prepared hydrogel demonstrated superior anti-bacterial/anti-biofilm activity and could induce M2 polarization of macrophages and osteogenic differentiation of BMSCs. The mechanism behind macrophages polarization was identified to be related to the JAK1-STAT1 and PI3K-AKT signaling pathways. The mechanism behind osteogenic differentiation of BMSCs was identified to be related to the ECM receptor interaction and calcium signaling/TGF-β signaling pathways.

Reassessing the Functional Significance of Blood Oxygen Level Dependent Signal Variability.

BOLD signal variability (SDBOLD) has emerged as a unique measure of the adaptive properties of neural systems that facilitate fast, stable responding, based on claims that SDBOLD is independent of mean BOLD signal (meanBOLD) and is a powerful predictor of behavioral performance. We challenge these two claims. First, the apparent independence of SDBOLD and meanBOLD may reflect the presence of deactivations; we hypothesize that although SDBOLD may not be related to raw meanBOLD, it will be linearly related to "absolute" meanBOLD. Second, the observed relationship between SDBOLD and performance may be an artifact of using fixed-length trials longer than RTs. Such designs provide opportunities to toggle between on- and off-task states, and fast responders likely engage in more frequent state-switching, thereby artificially elevating SDBOLD. We hypothesize that SDBOLD will be higher and more strongly related to performance when using such fixed-length trials relative to self-paced trials that terminate upon a response. We test these two hypotheses in an fMRI study using blocks of fixed-length or self-paced trials. Results confirmed both hypotheses: (1) SDBOLD was robustly related with absolute meanBOLD, and (2) toggling between on- and off-task states during fixed-length trials reliably contributed to SDBOLD. Together, these findings suggest that a reappraisal of the functional significance of SDBOLD as a unique marker of cognitive performance is warranted.

Vegetable growing in Atyrau region: status and prospects

The aim is to substantiate the development of vegetable growing industry in the process of diversification of the economy of Atyrau region. In the methodological aspect, the research on vegetable crops cultivation was carried out on the basis of the deduction method, the consequence of which is the logical conclusion that vegetable production of farms in the region is environmentally safe. Methods of analysis and synthesis were used in determining the competitive parameters of production and the level of its intensification in the period of rising prices for fuels and lubricants. Results - the current state of the vegetable sector of the region, problems and potential opportunities were analyzed, the profitability of the vegetable subcomplex was shown. Recommendations aimed at expanding the scope of management, providing agricultural enterprises with timely and objective information important for making management decisions have been developed. Conclusions - it is necessary to constantly intensify research and development work on the development of new vegetable varieties, their approbation and introduction into practice, which will increase productivity at lower costs. Sectors should pay attention to the quality of vegetable products, their shelf life, useful properties for human health and adaptation to local climatic conditions. The authors note the feasibility of establishing workshops for processing biomass waste and rejected low-grade products. It is concluded that the vegetable market has a high capacity and is characterized by stable demand, which makes it attractive for investment. Investments are the decisive factor of technological, economic and social renewal of economic entities. In dynamics, the innovation activity of agricultural entities is increasing, although it is lower than in the economic system as a whole. The state should become the coordinator of innovation processes in the industry. There are all prerequisites for building up the competitive advantages of the industry.

The Portuguese Version of Victim Empathy Distortion Scale: Adaptation and Psychometric Properties

AbstractVictim empathy is a common intervention target in intervention programs designed for individuals who perpetrated child sexual abuse (CSA). Researchers have developed the Victim Empathy Distortion Scale (VES), an instrument designed to assess empathy for victims of CSA. The present study aims to adapt the VES for the Portuguese population and examine its psychometric properties. One hundred and twelve individuals who perpetrated CSA and 245 individuals from the community participated in this study. The confirmatory factor analysis did not show satisfactory indices for the structures previously tested. Consequently, the search for an alternative model revealed a two-factor structure, explaining approximately 50% of the total variance. Results also indicated good internal consistency, discriminant validity, and known-groups validity. Overall, the results support the claim that the Portuguese version of the VES is a valuable and psychometrically reliable instrument for measuring victim empathy in forensic and non-forensic settings.

Critical Consciousness Scale and Career Contexts: Cross-Cultural Adaptation and Psychometric Properties of the Brazilian Version

According to the Brazilian pedagogue Paulo Freire, Critical Consciousness aims to understand people’s ability to critically analyze social and structural inequities and their role in social power relations, while also promoting political and social engagement, both individually and collectively. In career studies, the Psychology of Working Theory views Critical Consciousness as an individual moderator of variables that predict perception and access to decent work. This article presents the cross-cultural adaptation procedures and psychometric properties of the Brazilian version of the Critical Consciousness Scale. The sample consisted of 554 Brazilian workers, with women making up the majority (62.5%), and an average age of 35.8 years (SD = 14.3). The analysis of the internal structure (exploratory and confirmatory factor analyses) revealed a 24-item measure with three factors: critical reflection ( α = 0.93; ω = 0.93), critical responsibility ( α = 0.73; ω = 0.77), and critical action ( α = 0.84; ω = 0.85). The instrument showed partial invariance between groups based on gender, subjective social class, and education. Further investigations into the construct in the career field with different groups of workers are discussed, along with the need for caution when interpreting the Freirean conception of consciousness based on psychometric models.

Polish adaptation and validation of a family appraisal of caregiving questionnaire for palliative care (FACQ-PC)

Increasing numbers of people are taking on the role of informal caregivers of oncology patients in the advanced stages of the disease. The outcomes of such a decision are both positive (e.g. strengthening of bonds) and negative (e.g. strain). Their assessment is necessary to customise appropriate interventions for caregivers and is made possible by the FACQ-PC (multi-dimensional Family Appraisal of Caregiving Questionnaire for Palliative Care) – a tool used to assess the functioning of informal caregivers of patients receiving home-based palliative care. The aim of this study was to determine the psychometric properties of the Polish adaptation of the FACQ-PC. The study involved 150 informal caregivers of patients receiving palliative care at home, including 106 women and 44 men aged between 22 and 77 years. Study participants completed the Polish version of the FACQ-PC and a series of questionnaires measuring positive and negative feelings (SUPIN), stress (PSS-10) and satisfaction with family life (SOR- H). The study did not confirm the four-factor structure of the questionnaire; instead, a three-factor structure was found to be more appropriate. The following factors were determined: negative outcomes, positive caregiving appraisals and family well-being. Based on a validation review, the high reliability of the individual scales was established, and internal relevance was confirmed. FACQ-PC-PL was adopted as the abbreviated name of the tool. This tool can be used in scientific research and for initial assessments conducted in a clinical setting.

Substituted Maleimides: Self‐Reportable Linkers and Tags in Bioconjugation, Materials Science, and Nanotechnology

AbstractSubstituted maleimides are customisable fluorescent linkers and probes with adaptable reactivity and optical properties. Their compact nature and tunability has led to their use in various applications. For example, their solvatochromic properties offer real‐time feedback on linking chemistry and environmental changes, essential for applications in material labelling, drug delivery, and nanoparticle functionalisation. This review focusses on developing, synthesising, and modifying substituted maleimides as environment‐sensitive fluorescent linkers and probes. It delves into their photophysical dynamics and strategic applications, highlighting their significant contributions to macromolecule conjugation and the development of self‐reporting materials.

Bacteriophages: Sustainable and effective solution for climate-resilient agriculture

Abstract Climate change entails significant challenges to global food security and agricultural sustainability, prompting the need for innovative solutions to enhance climate resilience in farming practices. Bacteriophages (phages), viruses that specifically target and infect bacteria, provide promising applications in numerous agricultural practices to address these challenges. With traits such as specificity towards bacterial pathogens along with self-replication, self-dosing, and adaptability properties phages offer potential as effective biocontrol agents while exerting minimal harm on non-target organisms or their surrounding environment. In this review, various applications of phages have been explored including increasing crop resilience, improving soil health, preserving food, managing water resources, and adapting to emerging pests and diseases. Additionally, the benefits of these applications are also explored, such as improving sustainable practices, enhancing plant growth and yield, and supporting pollinator health.Although they offer great promise, there are still several obstacles such as limited host range, environmental stability, and regulatory challenges, so further research and policies are required for their integration into agricultural systems. Furthermore, education and public awareness are essential for farmers to adopt phage-based biocontrol. By harnessing the potential of phages, agriculture can mitigate the adverse effects of climate change, promote sustainability, and ensure food security in a changing climate.

Bone-inspired dynamically adaptive materials: Current efforts and future opportunities

AbstractThe natural world contains a diverse range of solutions that allows for living organisms to dynamically adapt their structure and mechanical properties to meet environmental demands. For example, coral reef is able to accumulate reinforcing calcium carbonate from wave agitation and water current that stabilizes gaps in the structure and increases the reef density and strength through diagenetic reef cementation. Bone responds to repeated stress by translating deformations and fluid movement in the bone matrix into cellular signals that trigger bone formation through mechanotransduction. Utilizing these mechanisms as inspiration, synthetic materials have been developed that utilize stress-generated piezoelectric charges to attract mineral ions to form reinforcing mineral layers that can repair defects and damage over time and extend material lifetime. In this article, we examine natural adaptive processes that give inspiration for new synthetic materials with similar dynamic adaptive properties. We also introduce the capabilities of existing bioinspired synthetic materials, current challenges these systems face, potential application areas of this technology, and future research opportunities of these adaptive materials. Graphical abstract

Adaptation and Biomechanical Performance of Custom-Fit Mouthguards Produced Using Conventional and Digital Workflows: A Comparative InVitro Strain Analysis.

The use of different models for the fabrication of custom-fit mouthguards (MTGs) can affect their final thickness, adaptation, and shock-absorption properties. This study aimed to evaluate the adaptation, thickness, and shock absorption of ethylene-vinyl acetate (EVA) thermoplastic MTGs produced using conventional plaster or three-dimensional (3D) printed models. A typical model with simulated soft gum tissue was used as the reference model to produce MTGs with the following two different protocols: plast-MTG using a conventional impression and plaster model (n = 10) and 3DPr-MTG using a digital scanning and 3D printed model (n = 10). A custom-fit MTG was fabricated using EVA sheets (Bioart) plasticized over different models. The MTG thickness (mm), internal adaptation (mm) to the typodontic model, and voids in the area (mm2) between the two EVA layers were measured using cone-beam computed tomography images and Mimics software (Materialize). The shock absorption of the MTG was measured using a strain-gauge test with a pendulum impact at 30° with a steel ball over the typodont model with and without MTGs. Data were analyzed using one-way analysis of variance with repeated measurements, followed by Tukey's post hoc tests. The 3DPr-MTG showed better adaptation than that of the Plast-MTG at the incisal/occlusal and lingual tooth surfaces (p < 0.001). The 3DPr-MTG showed a thickness similar to that of the Plast-MTG, irrespective of the measured location. MTGs produced using both model types significantly reduced the strain values during horizontal impact (3DPr-MTG 86.2% and Plast-MTG 87.0%) compared with the control group without MTG (p < 0.001). The MTGs showed the required standards regarding thickness, adaptation, and biomechanical performance, suggesting that the number and volume of voids had no significant impact on their functionality. Three-dimensional printed models are a viable alternative for MTG production, providing better adaptation than the Plast-MTG at the incisal/occlusal and lingual tooth surfaces and similar performance as the MTG produced with the conventional protocol.

Photorheologic Silicone Composites with Adaptive Properties by Utilizing Light‐Degradable Organosilica Nanoparticles as Fillers

AbstractImplementing inorganic filler particles is a powerful method for improving the mechanical properties of polymer composites. The physical properties are determined by the interaction of the filler with the polymer. Thus, factors like the surface‐to‐volume ratio and surface modification are important. Besides the strategies of influencing these physical properties by a prior modification of the filler, this approach applies a post‐treatment of the composite. The present publication focuses on bringing stimuli‐responsive properties to a composite material by changing the chemical composition and structure of the filler particles. Instead of creating a responsive polymer, the concept is to use photo‐degradable organosilica nanoparticles that can change the mechanical properties of a polymer/filler composite after it has been prepared. After the synthesis of nitrobenzyl ether containing organosilica nanoparticles and the investigation of the photochemical processes, the preparation of the composites with silicones is described. Vinyl groups are attached to the surfaces to secure a homogeneous distribution of the filler particles inside the polymer matrix. After light‐induced decomposition, the mechanical properties are investigated. Other than expected, the material becomes stiffer, which is explained by an increase in the surface area of the silica particles, accompanied by the emergence of hydroxy groups that interact with the polysiloxane.

Electrohydraulic musculoskeletal robotic leg for agile, adaptive, yet energy-efficient locomotion

Robotic locomotion in unstructured terrain demands an agile, adaptive, and energy-efficient architecture. To traverse such terrains, legged robots use rigid electromagnetic motors and sensorized drivetrains to adapt to the environment actively. These systems struggle to compete with animals that excel through their agile and effortless motion in natural environments. We propose a bio-inspired musculoskeletal leg architecture driven by antagonistic pairs of electrohydraulic artificial muscles. Our leg is mounted on a boom arm and can adaptively hop on varying terrain in an energy-efficient yet agile manner. It can also detect obstacles through capacitive self-sensing. The leg performs powerful and agile gait motions beyond 5 Hz and high jumps up to 40 % of the leg height. Our leg’s tunable stiffness and inherent adaptability allow it to hop over grass, sand, gravel, pebbles, and large rocks using only open-loop force control. The electrohydraulic leg features a low cost of transport (0.73), and while squatting, it consumes only a fraction of the energy (1.2 %) compared to its conventional electromagnetic counterpart. Its agile, adaptive, and energy-efficient properties would open a roadmap toward a new class of musculoskeletal robots for versatile locomotion and operation in unstructured natural environments.

Translation, Cultural Adaptation, and Psychometric Properties of Hindi Rosenberg Self-esteem Scale in University Nursing Students

Background: Rosenberg’s Self-esteem Scale (RSES) has been widely used without proper translation, cultural adaptation, and testing psychometric properties in Indian studies. The study aimed to translate and culturally adapt the 10-item Rosenberg Self-esteem Scale into Hindi and find psychometric properties. Material and Methods: We have translated the scale using World Health Organization (WHO) guidelines. Using a cross-sectional design, the translated scale was administered to 143 undergraduate nursing students randomly selected. Content validity index (CVI) was used to assess content validity. Exploratory factor analysis (EFA) with principal axis factoring was used to estimate the construct validity. Cronbach’s alpha (α) and intraclass correlation coefficient (ICC) were used to check internal consistency and test re-test reliability. Results: The S-CVI for the Hindi RSES was 0.98. Kaiser-Meyer-Olkin (KMO) (=0.79), and Bartlette’s test for sphericity was significant ( χ2 = 425.06, df = 45, P &lt; .001). EFA extracted three common factors, explaining 62.62% of the total variance. The factor loading of all items suggests a good representation of their underlying construct; all items &gt;0.47, except item 1 (= –0.373). The test re-test, an ICC was r = 0.76 ( P &lt; .001), and Cronbach’s alpha (α) after deletion of item 1 was 0.81, suggesting excellent reliability. Conclusion: The Hindi Rosenberg self-esteem scale is a psychometrically tested scale to assess self-esteem in the Hindi-speaking adult population. These findings provide empirical judgment for using the translated Hindi RSES to measure self-esteem among the adult population. The authors recommend verifying the psychometric properties in a more extensive and varied population.

Stem Cell-Nanodiamond Synergy: Efficacy in Breast Cancer

In the intricate and evolving landscape of oncological research and therapeutic modalities, the imperative for sophisticated, precise, and holistic strategies becomes paramount, especially within the intricate realm of breast cancer management. This analytical discourse undertakes a comprehensive examination of the synergistic interplay between stem cells and nanodiamonds, unveiling their collective potential to pioneer transformative therapeutic paradigms. Within the confines of this discussion, stem cells are acknowledged for their intrinsic adaptability and potent regenerative properties, whereas nanodiamonds are recognized for their versatile functions in targeted drug delivery systems and their inherent biocompatibility. Individually, they embody diverse therapeutic prospects; however, it is their collaborative interaction that is positioned at the vanguard of this evaluative discourse. The elaborate biophysical and biochemical exchanges incited by the amalgamation of stem cells’ regenerative prowess and nanodiamonds’ precision in drug conveyance are meticulously analyzed. This analysis transcends conventional scrutiny, delving into the profound molecular mechanisms, cellular kinetics, and resultant clinical ramifications, thereby delineating a comprehensive blueprint for an integrated therapeutic strategy.

Psychometric Properties and Factor Structure of the Disgust Scale-Revised (DS-R) for the Romanian population

Research on measuring the intensity of disgust has required the development of instruments to measure this construct. Given that, a more culturally appropriate scale is needed to ensure a valid and reliable measurement of disgust. The concept of “disgust” does not have an appropriate literature in Romanian pathology, and Disgust Scale-Revised (DS-R) is quite rarely used in the public health context. Therefore, this study focuses on the psychometric properties of the Romanian adaptation of the DS-R, one of the preferred instruments for measuring disgust. More specifically, the research investigated different forms of reliability and validity of the DS-R, using both Classical Test Theory (CTT) and Item Response Theory (IRT) analysis approaches. In general, the results showed good fidelity, fit of the single- factor model of the DS-R, good convergent and divergent validity with respect to the relationships of this scale with other variables. The study also highlights the important role of disgust and anxiety in predicting obsessive- compulsive symptoms. In conclusion, further refinement of the scale could be useful for a more comprehensive development of this instrument in the clinical setting.

Metal-Organic Frameworks as Electrode Materials for Lithium-Ion Battery

Over recent decades, Metal-Organic Frameworks (MOFs) have distinguished themselves as a unique class of porous materials due to their adaptable surface and structural properties. This versatility has made MOFs highly relevant across various fields, including drug delivery, gas separation, catalysis, and sensor technology. Additionally, their conductive properties have made them promising candidates for use in energy storage systems like high-energy-density batteries and supercapacitors. MOFs are particularly noted for their role in the development of rechargeable lithium-ion batteries (LIBs) and supercapacitors, where they serve as both anode and cathode materials. The ability to fine-tune MOFs at a molecular level allows for precise control over their structure and chemistry, enhancing their functionality in energy storage applications. This control facilitates superior electronic and ionic transport within MOFs, which is critical during the charging and discharging cycles of LIBs. This review delves into the various synthetic methods used to develop specific MOF structures, focusing on their implementation within LIBs to improve cyclic stability and discharge capacity. Recent advancements in MOF technology as anode and cathode materials are explored, providing insights into how these developments can optimize reaction conditions and design choices within the battery development community and broader electrochemical energy storage sectors. The aim is to highlight how MOFs’ inherent characteristics can be leveraged to enhance the performance and efficiency of energy storage devices.