Complex Dynamics Research Articles

Multiple Misaligned Outflows and Warped Accretion Flows in the Proto-multiple System Per-emb-8 and 55

To investigate the formation process of multiple systems, we have analyzed the Atacama Large Millimeter/submillimeter Array archival data of the 1.3 mm continuum, 12CO (2-1) and C18O (2-1) emission in a proto-multiple system consisting of a Class 0 protostar Per-emb-8 and a Class I protobinary Per-emb-55 A and B. The 1.3 mm continuum emission is likely to primarily trace their protostellar disks, and the Keplerian disk rotation is observed in Per-emb-8 and Per-emb-55 A in the emission lines. In Per-emb-8, we identify two arm-like structures with a length of ∼1000 au connecting the eastern and western of its disk in the continuum and C18O emission. Our analysis suggests that these arm-like structures are most likely infalling flows. In the 12CO emission, we discover a second bipolar outflow associated with Per-emb-8. The two bipolar outflows in Per-emb-8 are possibly launched along the normal axes of the misaligned inner and outer parts of its warped protostellar disk. In Per-emb-55, we find that the red- and blueshifted lobes of its bipolar outflow are misaligned by 90°. The presence of the warped disk, multiple misaligned outflows, and asymmetric infalling flows suggest complex dynamics in proto-multiple systems, and these could be related to the tidal interactions between the companions and/or the turbulent environments forming this proto-multiple system.

Particle Swarm Optimization for a redundant repairable machining system with working vacations and impatience in a multi-phase random environment

With the increasing reliance on cloud computing as the foundational manufacturing systems with intricate dynamics, featuring multiple service areas, varying job arrival rates, diverse service requirements, and the interplay of failures and impatience, significant analytical challenges arise. Queueing networks offer a powerful stochastic modeling framework to capture such complex dynamics. This paper develops a novel, exhaustive queueing model for a finite-capacity redundant multi-server system operating in a multi-phase random environment. The proposed model uniquely integrates real-world factors, including server breakdowns and repairs, waiting servers, synchronous working vacations, and state dependent balking and reneging, into a single queueing model, representing a significant advancement in the field. Using the matrix-analytic method, we establish the steady-state solution and derive key performance metrics. Numerical experiments and sensitivity analyses elucidate the impact of system parameters on performance measures. Additionally, a cost model is formulated, enabling cost optimization analysis using direct search method and Particle Swarm Optimization (PSO) to identify efficient operating configurations.

VHDvDB 2.0: Database and Group Comparison Server for Hepatitis Delta Virus

The hepatitis delta virus (HDV) is a unique pathogen with significant global health implications, affecting individuals who are coinfected with the hepatitis B virus (HBV). HDV infection has profound clinical consequences, manifesting either as coinfection with HBV, resulting in acute hepatitis and potential liver failure, or as superinfection in chronic HBV cases, substantially increasing the risk of cirrhosis and hepatocellular carcinoma. Given the complex dynamics of HDV infection and the urgent need for advanced research tools, this article introduces vHDvDB 2.0, a comprehensive HDV full-length sequence database. This innovative platform integrates data preprocessing, secondary structure prediction, and epidemiological research tools. The primary goal of vHDvDB 2.0 is to consolidate HDV sequence data into a user-friendly repository, thereby facilitating access for researchers and enhancing the broader scientific understanding of HDV. The significance of this database lies in its potential to streamline HDV research by providing a centralized resource for analyzing viral sequences and exploring genotype-specific characteristics. It will also enable more in-depth research within the HDV sequence domains.

The Ecclesiastical Impact: Exploring the Role of Christian Church in Democracy Development in Nigeria

This research investigates the multifaceted role of Christian church in the development and consolidation of democracy in Nigeria. Through a comprehensive analysis of scholarly literature, empirical data, and case studies, the study aims to elucidate the various dimensions of the church's influence on democratic processes, institutions, and norms in the Nigerian context. Specifically, the research will examine how Christian churches contribute to promoting democratic values, civic education, moral leadership, peace-building, social welfare initiatives, and political engagement. By employing a mixed-methods approach, including qualitative interviews, surveys, and content analysis of church statements and activities, the study seeks to provide empirical evidence and theoretical insights into the mechanisms through which the church impacts democracy development in Nigeria. The findings of this research will have implications for understanding the complex dynamics of religion and politics in Nigeria and inform policy and practices aimed at strengthening democratic governance and pluralism in the country.

Aging, Cancer, and Inflammation: The Telomerase Connection

Understanding the complex dynamics of telomere biology is important in the strong link between aging and cancer. Telomeres, the protective caps at the end of chromosomes, are central players in this connection. While their gradual shortening due to replication limits tumors expansion by triggering DNA repair mechanisms, it also promotes oncogenic changes within chromosomes, thus sustaining tumorigenesis. The enzyme telomerase, responsible for maintaining telomere length, emerges as a central player in this context. Its expression in cancer cells facilitates the preservation of telomeres, allowing them to circumvent the growth-limiting effects of short telomeres. Interestingly, the influence of telomerase extends beyond telomere maintenance, as evidenced by its involvement in promoting cell growth through alternative pathways. In this context, inflammation accelerates telomere shortening, resulting in telomere dysfunction, while telomere elements also play a role in modulating the inflammatory response. The recognition of this interplay has promoted the development of novel therapeutic approaches centered around telomerase inhibition. This review provides a comprehensive overview of the field, emphasizing recent progress in knowledge and the implications in understanding of cancer biology.

Complex dynamics of a quantum Cournot duopoly game with two different objectives

Complex dynamics of a quantum Cournot duopoly game with two different objectives

Research on Division of Labor Decision and System Stability of Swarm Robots Based on Mutual Information

In rational decision-making processes, the information interaction among individual robots is a critical factor influencing system stability. We establish a game-theoretic model based on mutual information to address division of labor decision-making and stability issues arising from differential information interaction among swarm robots. Firstly, a mutual information model is employed to measure the information interaction among robots and analyze its influence on the behavior of individual robots. Secondly, employing the Cournot model and the Stackelberg model, we model the diverse decision-making behaviors of swarm robots influenced by discrepancies in mutual information. The intricate decision dynamics exhibited by the system under the disparity mutual information values during the game process, along with the stability of Nash equilibrium points, are analyzed. Finally, dynamic complexity simulations of the game models are simulated under the disparity mutual information values: (1) When ν1 of the game model varies within a certain range, the Nash equilibrium point loses stability and enters a chaotic state. (2) As I(X;Y) increases, the decision-making pattern of robots transitions gradually from the Cournot game to the Stackelberg game. Concurrently, the sensitivity of swarm robotics systems to changes in decision parameter decreases, reducing the likelihood of the system entering a chaotic state.

Inter- and intra-subject similarity in network functional connectivity across a full narrative movie.

Naturalistic paradigms, such as watching movies during functional magnetic resonance imaging, are thought to prompt the emotional and cognitive processes typically elicited in real life situations. Therefore, naturalistic viewing (NV) holds great potential for studying individual differences. Previous studies have primarily focused on using shorter movie clips, geared toward eliciting specific and often isolated emotions, while the potential behind using full narratives depicted in commercial movies as a proxy for real-life experiences has barely been explored. Here, we offer preliminary evidence that a full narrative movie (FNM), that is, a movie covering a complete narrative arc, can capture complex socio-affective dynamics and their links to individual differences. Using the studyforrest dataset, we investigated inter- and intra-subject similarity in network functional connectivity (NFC) of 14 meta-analytically defined networks across a full narrative, audio-visual movie split into eight consecutive movie segments. We characterized the movie segments by valence and arousal portrayed within the sequences, before utilizing a linear mixed model to analyze which factors explain inter- and intra-subject similarity. Our results show that the model best explaining inter-subject similarity comprised network, movie segment, valence and a movie segment by valence interaction. Intra-subject similarity was influenced significantly by the same factors and an additional three-way interaction between movie segment, valence and arousal. Overall, inter- and intra-subject similarity in NFC were sensitive to the ongoing narrative and emotions in the movie. We conclude that FNMs offer complex content and dynamics that might be particularly valuable for studying individual differences. Further characterization of movie features, such as the overarching narratives, that enhance individual differences is needed for advancing the potential of NV research.

Trophic Predictability Analysis: Employing Constancy and Contingency – a Case Study of Ilam Reservoir

This study explores the concept of “trophic state predictability” (TP) in aquatic ecosystems using the Ilam reservoir as a case study. Trophic predictability integrates constancy and contingency to assess how well historical data reflects possible trophic states. The CE-QUAL-W2 model has been employed to project phosphorus levels and analyze spatial and temporal variations in trophic states. Results showed that Station 2 has predictability of 96% in the hypolimnion and 50% in the epilimnion, Station 3 shows low hypolimnion predictability (P=0.4) but 33% constancy and 32% contingency in the epilimnion, and Station 1 demonstrates predictability of 88% in the hypolimnion (84% from constancy) and 64% in the epilimnion (40% from constancy). The limitations of TP in the face of shifting baselines (SB) have been investigated which refers to the precipitation of the current state of the environment as the baseline. Various scenarios highlight the complexities of using TP and incorporating the stakeholder perception were defined. Results showed that Station 2 has high TP, suggesting potential for undetected baseline shifts (Scenario A). Station 3 exhibits lower TP, indicating environmental variability or complex dynamics (Scenarios B or C). Station 1 has moderate TP, suggesting potential historical shifts or internal dynamics (Scenario B or C). All stations showed a high eutrophication potential, with Station 1 experiencing the most severe conditions. This research provides insights into the predictability and variability of trophic states, emphasizing the importance of the interplay between constancy, contingency, and stakeholder perception. Also, it highlights the significance of TP for understanding future trophic states, while acknowledging the limitations imposed by shifting baselines. By considering both past changes and potential future disruptions, TP can be a valuable tool for water resource managers. Continuously monitoring aquatic ecosystems and incorporating additional data sources are crucial for ensuring their long-term health.

Ecological integration of Vespa velutina Lepeletier, 1836 in South Korea: a comprehensive study of co-occurrence and interaction patterns with native social wasps.

The spread of Vespa velutina Lepeletier, 1836 (Asian hornet) in South Korea poses a threat to biodiversity and agriculture. Traditional species interaction models often fail to capture the complexity of invasive species dynamics. This study used association rule learning (ARL) and clustering analyses to explore the interactions of V. velutina with native Vespidae species in South Korea, with the aim of uncovering patterns of coexistence and competition. Over 4 years (2020-2023), 304 traps were strategically placed across South Korea to collect data on Vespidae species. Our findings showed that Vespula flaviceps, Vespa crabro, and Vespula koreensis were the most frequently encountered species. V. velutina was also widespread, suggesting its successful integration into local ecosystems. The ARL analysis, using the 'apriori' algorithm, identified significant co-occurrence patterns and potential interactions. The rules generated indicated both competitive and coexistent relationships with varying levels of association strength across different regions. Clustering analyses, including hierarchical and k-means clustering, grouped species based on their occurrence similarities. The distinct clusters formed in the analysis highlighted the unique ecological roles and interactions of V. velutina and other Vespidae species in South Korean ecosystems. This study confirms the successful establishment of V. velutina in diverse South Korean ecosystems and highlights its complex interactions with native species. These findings support the need for nuanced management strategies that consider the intricate ecological relationships of V. velutina. This approach is crucial for the effective management of invasive species and ecosystem conservation. © 2024 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

On the Origin of Solar Hemispheric Helicity Rules: Rise of 3D Magnetic Flux Concentrations through a Background Magnetic Field

Sunspots and active regions observed on the solar surface are widely believed to be manifestations of compact predominantly toroidal magnetic field structures (“flux tubes”) that emerge by magnetic buoyancy from the deeper interior of the Sun. Much work has examined the evolution of such magnetic structures, typically considering them as idealized isolated magnetic entities and not as more realistic magnetic concentrations in a volume-filling background magnetic field. Here, we report results that explore the buoyant rise dynamics of magnetic concentrations in a volume-filling field in the full three dimensions. Earlier 2.5D work in this series established the remarkable fact that the twist orientation of a flux concentration relative to the background field affected its likelihood to rise and emerge, regardless of whether the buoyant rise took place in the absence or presence of convection. The contrasting dynamics between structures with differing orientations lead to a selection mechanism that reproduces characteristics of the “solar hemispheric helicity rule(s)” observations strikingly well. Here, we show that this two-dimensional selection mechanism persists in the face of the added complexity of three-dimensional dynamics. Arching of the magnetic structure in the third dimension, as might be expected in the solar application, is introduced. The role of tension force leading to this selection mechanism is elucidated and subtle differences that arise due to the three-dimensional geometry are discussed.

Indo-Pakistan rivalry and integrated ring balancing: prospects and challenges to regional stability in South Asia

ABSTRACT Pakistan's security landscape faces unprecedented challenges due to India's burgeoning power and its strategic alignment with the United States. This study proposes an innovative ‘Integrated Ring Balancing’ framework to navigate this complex geopolitical environment. The framework operates across three tiers: Tier 1: Direct engagement with immediate neighbors – India, Iran, China, and Afghanistan. Tier 2: Building robust linkages with the neighbors of Pakistan's Tier 1 partners, encompassing South Asia, Central Asia, Southeast Asia, and the Middle East. Tier 3: Leveraging major powers – China, Russia, and the United States – through Tier 1 and 2 partnerships. This multi-layered approach aims to achieve two key objectives: (1) Neutralize India's US-backed advantage: Engaging China and Russia can influence Tier 2 states, particularly in Central Asia, to rebalance their regional positioning towards Pakistan. (2) Develop a collective defense system: Converging geo-economic interests via initiatives like the China–Pakistan Economic Corridor (CPEC) and the Belt and Road Initiative (BRI) can foster a regional security ring around Pakistan. By strategically engaging across these tiers, Pakistan can navigate the complex power dynamics in South Asia, bolster its security, and ultimately safeguard its national interests in the face of a strengthened India.

A generalized framework of two-way coupled numerical model for fluid-structure-seabed interaction (FSSI): Explicit algorithm

In a complex marine dynamics environment, the consideration of fluid-structure-seabed interaction (FSSI) plays a vital role in reliably analyzing the dynamic response of marine structures, and in assessing their structural dynamic stability. Currently, the predominant numerical analysis used worldwide for the problems of wave-seabed interaction and seawater-structure-seabed interaction is primarily the one-way coupling method. While only a few two-way coupled models are being developed. Consequently, two issues are brought up: (1) For the cases involving small deformation and displacement, the degree of discrepancy can't be quantitatively identified between the results obtained respectively from one-way coupling models and two-way coupled models which are more rigorous in mathematics and physics. (2) For the cases involving large deformation and displacement, one-way coupling models should be non-applicable. To address this problem, this study first proposes an explicit two-way coupling theory for the fluid-structure-seabed interaction. Then, a two-way coupled numerical model is developed by integrating the soil-structure dynamics software FssiCAS, and an OpenFOAM-based CFD solver OlaFlow by utilizing the data exchange library preCICE. This two-way coupled model has been embedded into the software FssiCAS. The reliability of the developed two-way coupled model is systematically validated through a rigorous verification process. Subsequently, a comparative study is conducted between the newly developed two-way coupled model and the existing one-way coupling model, to investigate the ocean wave-seabed interaction, as well as the interaction process between ocean wave, a breakwater, and seabed foundation. A comprehensive analysis is performed by comparing the differences in the wave profiles in fluid domain, dynamic displacement of structure and seabed foundation, seepage, pore pressure accumulation, and liquefaction in seabed foundation solved by the two-way and one-way coupled models. Finally, the suitability of the one-way and two-way coupled models in different applicable scenarios was discussed.

Allelochemicals determine competition and grazing control in Alexandrium catenella

The production of allelochemicals by the toxigenic dinoflagellate Alexandrium catenella is one of the suggested mechanisms to facilitate its bloom formation and persistence by outcompeting other phototrophic protists and reducing grazing pressure. In Southern California, toxic events caused by A. catenella and paralytic shellfish toxins (PSTs) regularly impact coastal ecosystems; however, the trophic interactions and mechanisms promoting this species in a food web context are still not fully understood. In the present study, we combined a dynamical mathematical model with laboratory experiments to investigate potential toxic and allelochemical effects of an A. catenella strain isolated off the coast of Los Angeles, Southern California, on competitors and a common zooplankton consumer. Experiments were conducted using three toxigenic strains of A. catenella, comparing the new Californian isolate (Alex Cal) to two strains previously described from the North Sea, a lytic (Alex2) and non-lytic (Alex5) strain, testing for donor density-dependent effects on two phytoplankton species (Rhodomonas salina, Tetraselmis sp.) and on the rotifer Brachionus plicatilis. Bioassays revealed a steep decline in competitor and consumer populations with increasing Alex Cal concentrations, indicating an intermediate lytic activity compared to the North Sea strains (lytic Alex2 and non-lytic Alex5). The rotifer fed and grew well on the PST- toxic, but non-lytic Alex5 strain, while its survival significantly decreased with increasing concentrations of the two lytic strains Alex Cal and Alex 2, indicating that negative effects on the rotifer were mediated by allelochemicals rather than PST-toxins. Mixed culture experiments including both competitors and consumers demonstrated that the intensity of allelochemical effects not only depended on the A. catenella density but also on the target density. Negative effects on grazers were alleviated by co-occurring competitors with a lower sensitivity to allelochemicals, thus reducing harmful compounds and allowing grazing control on the dinoflagellate to come into effect again. Results from mixed culture experiments were supported by the mathematical approach used in this study which was calibrated with data from simple monoculture growth, pairwise competition and predator-prey experiments, demonstrating the applicability of this model approach to predict the outcome of more complex food web dynamics at the community level.

Evidence of isochorismate channeling between the Escherichia coli enterobactin biosynthetic enzymes EntC and EntB.

Enterobactin is a high-affinity iron chelator produced and secreted by Escherichia coli and Salmonella typhimurium to scavenge scarce extracellular Fe3+ as a micronutrient. EntC and EntB are the first two enzymes in the enterobactin biosynthetic pathway. Isochorismate, produced by EntC, is a substrate for EntB isochorismatase. By using a competing isochorismate-consuming enzyme (the E. coli SEPHCHC synthase MenD), we found in a coupled assay that residual EntB isochorismatase activity decreased as a function of increasing MenD concentration. In the presence of excess MenD, EntB isochorismatase activity was observed to decrease by 84%, indicative of partial EntC-EntB channeling (16%) of isochorismate. Furthermore, addition of glycerol to the assay resulted in an increase of residual EntB isochorismatase activity to approximately 25% while in the presence of excess MenD. These experimental outcomes supported the existence of a substrate channeling surface identified in a previously reported protein-docking model of the EntC-EntB complex. Two positively charged EntB residues (K21 and R196) that were predicted to electrostatically guide negatively charged isochorismate between the EntC and EntB active sites were mutagenized to determine their effects on substrate channeling. The EntB variants K21D and R196D exhibited a near complete loss of isochorismatase activity, likely due to electrostatic repulsion of the negatively charged isochorismate substrate. Variants K21A, R196A, and K21A/R196A retained partial EntB isochorismatase activity in the absence of EntC; in the presence of EntC, isochorismatase activity in all variants increased to near wild-type levels. The MenD competition assay of the variants revealed that while K21A channeled isochorismate as efficiently as wild-type EntB (~ 15%), the variants K21A/R196A and R196A exhibited an approximately 5-fold loss in observed channeling efficiency (~3%). Taken together, these results demonstrate that partial substrate channeling occurs between EntC and EntB via a leaky electrostatic tunnel formed upon dynamic EntC-EntB complex formation and that EntB R196 plays an essential role in isochorismate channeling.

Complex Dynamics of Creative Industries in Advancing Organizational Theories

Complex Dynamics of Creative Industries in Advancing Organizational Theories

Systems thinking for management practitioners and scholars: Strengthening the tools to analyze “wicked problems”

Global fragility and conflict have challenged business to identify solutions to some of the world’s most “wicked problems.” Yet corporate practitioners struggle to analyze the relationship between the firm and society in conflict-affected and fragile spaces. Systems analysis, emergent in peacebuilding, offers a compelling approach for management practitioners and scholars to better understand the role of business in complex social environments. This participatory, qualitative approach applies collaborative inquiry and causal-loop diagraming to analyze the complex dynamics that create the operational conditions and to trace the impact of the firm on those conditions. This article outlines the application of this approach and argues that it fills a gap in the current tools used to understand the private sector’s role and agency in contributing positively to society. What emerges is a pathway to enhancing theoretical development and practical understanding of the risks and impacts of corporate operations in the most challenging of contexts.

How do global commodities react to increasing geopolitical risks? New insights into the Russia-Ukraine and Palestine-Israel conflicts

The present study examines the impact of geopolitical risk on global commodities returns by including both major conflicts spanning from January 3, 2023 to December 18, 2023 to cover both the Russia-Ukraine and Palestine-Israel wars. Our study utilizes the QVAR model, the Quantile-on-Quantile regression (QQR) and the frequency causality test. Surprisingly, during the pre-conflict period, our findings reveal a weak positive influence of GPR on commodities, indicating their resilience to extreme negative shocks. Variance decompositions further highlight the limited role of GPR in explaining the commodity price variance. The spillover analysis highlights a low interconnectedness between GPR and commodities, demonstrating a high hedging effectiveness against expected negative GPR shocks. The heterogeneous reaction of commodities to extremely positive GPR shocks suggests diverse responses, emphasizing the need for nuanced investment strategies. Conversely, during the crisis periods, commodities exhibit a resilience to both negative and positive shocks from geopolitical tensions, therefore, presenting diversification opportunities for investors. The causality frequency analysis emphasizes the complex dynamics between GPR and commodities in both the time and frequency domains. Our study also offers significant implications for investors, portfolio managers, and policymakers, advocating for recognition of the weak pre-conflict link between GPR and commodities.

Peritraumatic Dissociation Partially Mediates the Influence of Lifetime Trauma Exposure on Prospective PTSD Symptoms

ABSTRACT Higher lifetime trauma exposure and increased peritraumatic dissociation (PD) are well-known predictors of Post-Traumatic Stress Disorder (PTSD) symptoms following new trauma (prospective PTSD symptoms). The interplay between those factors, however, is not well established. In this study, we aimed to assess whether PD mediates the influence of lifetime trauma exposure on prospective PTSD symptoms. A total of 387 adults visiting five emergency departments who had experienced a traumatic event within 72 hours completed baseline assessments on lifetime trauma exposure count and PD. PTSD symptoms were assessed 1 month later. Structural equation modeling was used to examine the mediation effect of PD in the relationship between lifetime trauma exposure count and 1-month PTSD symptoms. We found that PD mediated the association between lifetime trauma exposure count and 1-month PTSD symptoms, even after accounting for some confounders. However, the mediation was partial, accounting for 17.9% of the lifetime trauma exposure count’s total effect. While this finding is significant, it also suggests that additional mechanisms beyond PD play a role in explaining the influence of higher lifetime trauma exposure on prospective PTSD symptoms. These findings provide valuable insights into the complex dynamics of PTSD development and call for further research to explore complementary factors and preventive strategies.

Exploring synergistic and antagonistic interactions in phage-antibiotic combinations against ESKAPE pathogens.

In the era of antimicrobial resistance, phage-antibiotic combinations offer a promising therapeutic option, yet research on their synergy and antagonism is limited. This study aims to assess these interactions, focusing on protein synthesis inhibitors and cell envelope-active agents against multidrug-resistant bacterial strains. We evaluated synergistic and antagonistic interactions in multidrug-resistant Staphylococcus aureus, Enterococcus faecium, and Pseudomonas aeruginosa strains. Phages were combined with protein synthesis inhibitors [linezolid (LZD), minocycline (MIN), gentamicin (GEN), and azithromycin (AZM)] or cell envelope-active agents [daptomycin (DAP), ceftaroline (CPT), and cefepime (FEP)]. Modified checkerboard minimum inhibitory concentration assays and 24-h time-kill analyses were conducted, alongside one-step growth curves to analyze phage growth kinetics. Statistical comparisons used one-way analysis of variance (ANOVA) and the Tukey test (P < 0.05). In the checkerboard and 24-h time-kill analyses (TKA) of S. aureus and E. faecium, phage-LZD and phage-MIN combinations were antagonistic (FIC > 4) while phage-DAP and phage-CPT were synergistic (FIC 0.5) (ANOVA range of mean differences 0.52-2.59 log10 CFU/mL; P < 0.001). For P. aeruginosa, phage-AZM was antagonistic (FIC > 4), phage-GEN was additive (FIC = 1), and phage-FEP was synergistic (ANOVA range of mean differences 1.04-1.95 log10 CFU/mL; P < 0.001). Phage growth kinetics were altered in the presence of LZD and MIN against S. aureus and in the presence of LZD against a single E. faecium strain (HOU503). Our findings indicate that select protein synthesis inhibitors may induce phage-antibiotic antagonism. However, this antagonism may not solely stem from changes in phage growth kinetics, warranting further investigation into the complex interplay among strains, phage attributes, and antibiotic mechanisms affecting bacterial inhibition.IMPORTANCEIn the face of escalating antimicrobial resistance, combining phages with antibiotics offers a promising avenue for treating infections unresponsive to traditional antibiotics. However, while studies have explored synergistic interactions, less attention has been given to potential antagonism and its impact on phage growth kinetics. This research evaluates the interplay between phages and antibiotics, revealing both synergistic and antagonistic patterns across various bacterial strains and shedding light on the complex dynamics that influence treatment efficacy. Understanding these interactions is crucial for optimizing combination therapies and advancing phage therapy as a viable solution for combating antimicrobial resistance.