Cooperative Interactions Research Articles

Solvent-Directed Social Chiral Self-Sorting in Pd2L4 Coordination Cages.

A family of Pd2L4 cages prepared from ligands based on an axially chiral diamino-[1,1'-biazulene] motif (serving as a unique azulene-based surrogate of the ubiquitous BINOL moiety) is reported. We show that preparing a cage starting from the racemate of a shorter bis-monodentate ligand derivative, equipped with pyridine donor groups, leads to integrative ("social") chiral self-sorting, exclusively yielding the meso-trans product, but only in a selection of solvents. This phenomenon is driven by individual solvent molecules acting as hydrogen bonding tethers between the amino groups of neighboring ligands, thereby locking the final coordination cage in a single isomeric form. The experimental (solvent-dependent NMR, single-crystal X-ray diffraction) observations of this cooperative interaction could be explained by computational analyses only when explicit solvation was considered. Furthermore, we prepared a larger chiral ligand with isoquinoline donors, which, unlike the first one, does not undergo social self-sorting from its racemic mixture, further highlighting the importance of solvents bridging short distances between the amino groups. Homochiral cages formed from this larger ligand, however, furnish a cavity that can bind anionic and neutral metal complexes such as [Pt(CN)6]2- and Cr(CO)6 and discriminate between the two enantiomers of chiral guest camphor sulfonate.

The Limits of Our Explanation: A Case Study in Myxococcus xanthus Cooperation

AbstractIn this article, I demonstrate two ways in which our major theories of the evolution of cooperation may fail to capture particular social phenomena. The first shortcoming of our current major theories stems from the possibility of mischaracterizing the cooperative problem in game theory. The second shortcoming of our current major theories is the insensitivity of these explanatory models to ecological and genomic context. As a case study to illustrate these points, I will use the cooperative interaction of a species of myxobacteria called Myxococcus xanthus. M. xanthus cooperate in many areas of their life cycle—in quorum sensing, social motility, fruiting body formation, and predation. I focus in particular on predation as we have not yet discovered an adequate explanation of how they sustain cooperative predation in the face of developmental cheats. In explaining why we have not, I draw generalizable conclusions that shed light on our use of simplified models to explain real-world behaviors in a variety of organisms.

Size and Surface Effects in the Ultrafast Dynamics of Strongly Cooperative Spin-Crossover Nanoparticles.

Cooperative photoinduced switching of molecular materials at the nanoscale is still in its infancy. Strongly cooperative spin-crossover nanomaterials are arguably the best prototypes of photomagnetic and volume-changing materials that can be manipulated by short pulses of light. Open questions remain regarding their non-equilibrium dynamics upon light excitation and the role of cooperative elastic interactions in nanoscale systems that are characterized by large surface/volume ratios. Femtosecond-resolved broadband spectroscopy is performed on nanorods of the strongly cooperative Fe-triazole, which undergoes a reversible low-spin to high-spin (HS) phase transition ≈360K. Supported by density functional theory and mechano-elastic Monte Carlo simulations, a marked difference is observed in the photoswitching dynamics at the surface of the nanoparticles compared with the core. Surprisingly, under low excitation (<2%) conditions, there occurs a transient increase in the HS population at the surface on the picosecond time scale, while the HS population in the core decays concomitantly. These results shed light onto the importance of surface properties and dynamical size limits of nanoscale photoresponsive nanomaterials that can be used in a broad range of applications.

Effects of green innovation ecosystem coopetition, environmental management practices and digital innovation on carbon footprint reduction

Purpose The purpose of this article is to analysis of the effects of green innovation ecosystem coopetition (cooperation and competition), environmental management practices (EMPs) and digital innovation (DI) on carbon footprint reduction. Design/methodology/approach To conduct the study, a questionnaire was administered to hotel managers from different regions of Brazil. Data were collected from 197 hotels and analyzed via partial least squares structural equation modeling. Findings The results show that green innovation ecosystem cooperation positively and significantly affects EMPs and DI. Green innovation ecosystem competition interactions also benefit the adoption of EMPs. However, they do not significantly influence the use of DI. The results indicate that hotels that are in a scenario of simultaneous competition and collaboration (coopetition) within the green innovation ecosystem can reduce carbon emissions when EMPs and DI are used. Research limitations/implications The authors contribute to the literature by showing different pathways for reducing the carbon footprint of hotels. The results expand the authors’ knowledge by showing evidence that cooperation and competition interactions can produce distinct effects, especially on DI. Thus, this study has important practical implications for hotel managers seeking to improve their environmental practices and DI with the help of external multiagent resources and knowledge. Originality/value This research contributes to the literature by examining how cooperation and competition interactions in the green innovation ecosystem help in the adoption of environmental management and DI practices.

Impact of Bacillus Inoculation on Rhizosphere Bacterial Community Structure: A Review

The rhizosphere is a specialized zone where plant roots interact with the soil microbiome. Among various beneficial microbes, the genus Bacillus stands out due to its diverse functionalities and potential to boost plant growth and resilience. Bacillus is a key genus of plant growth-promoting rhizobacteria (PGPR) known for enhancing nutrient availability, producing phytohormones, and inducing plant resistance to pathogens. Inoculating Bacillus species into the rhizosphere can significantly alter the bacterial community's structure and composition. These alterations are driven by the competitive and cooperative interactions between Bacillus and the native rhizosphere microorganisms. Incorporating soil microorganisms into the host plant's beneficial bacterial community improves soil nutrient cycling and nutrient use efficiency. Using microbial inoculants is an effective strategy to address crop succession challenges, enhance microbial community structure, and improve soil fertility, thereby promoting crop growth. This review thoroughly examines the current understanding of how Bacillus inoculation impacts rhizosphere bacterial community structure.

Cooperative Interaction Between Pediococcus and Bacillus Communities as a Key Factor in the High-Temperature Thermal Differentiation of Daqu

The high-temperature fermentation process of Daqu, a crucial ingredient in the production of Moutai-flavored Baijiu, is characterized by complex microbial interactions and differentiation at fermentation temperatures. This study is an investigation of the role that microbial cooperation and competition has in driving temperature differences during Daqu fermentation, using the results of real-time temperature monitoring, absolute quantitative amplicon sequencing, and microcalorimetry. The balanced interaction between the genera Pediococcus and Bacillus was observed to be a key factor in achieving high fermentation temperatures. The results indicated that the initial phase of fermentation is characterized by competition and niche differentiation, and that as fermentation proceeds, microbial community of the high-temperature Daqu tends to shift towards cooperation. Correlation network analysis revealed that on the 4th day of fermentation, Pediococcus and Bacillus formed distinct clusters with positive correlations within each cluster and significant negative correlation between them. The interaction and cohesion index analysis suggests that both genera play a crucial role in the high-temperature fermentation process of Daqu. Furthermore, simulated fermentation experiments confirmed that the coexistence of Pediococcus and Bacillus can enhance heat production in high-temperature environments than situations in which either genus dominates. These findings highlight the importance of the microbial community interaction in regulating fermentation temperature and provide valuable insights for optimizing the quality and consistency of Daqu fermentation products.

Insights into the cooperative interaction of cage-type graphene-based Fe, Mo dual atom catalysts in nitrogen reduction reaction.

Insights into the cooperative interaction of cage-type graphene-based Fe, Mo dual atom catalysts in nitrogen reduction reaction.

Qihuang Zhuyu Formula Modulates Mitochondrial Function to Inhibit Platelet Activation via Endocannabinoid Signaling Mediated by the SIRT1/PPARα Pathway

Ethnopharmacological relevanceDeveloping effective drugs is urgent for preventing platelet activation and atherosclerotic disease. Qihuang Zhuyu Formula (QHZYF) is a curative medical plants formula in clinic while its molecular mechanism remains to be further elucidated. Aim of the studyTo investigate how QHZYF, via the sirtuin 1 (SIRT1)/peroxisome proliferator-activated receptor alpha (PPARα) pathway, mediates the endocannabinoid system, regulates mitochondrial function, and inhibits platelet activation, thereby offering novel strategies for the prevention and treatment of cardiovascular diseases. MethodsThe chemical constituents of QHZYF were characterized by ultra-performance liquid chromatography tandem with quadrupole time-of-flight mass spectrometry (UPLC-Q/TOF-MS). For the in vivo experiments, an atherosclerosis rat model was developed. Platelet activation and endocannabinoid levels were assessed by ELISA, while the expression of PPARα was evaluated by immunofluorescence. Additionally, the expression of endocannabinoid-degrading enzymes was analyzed by Western blotting. In the in vitro studies, the protein-protein interaction between SIRT1 and PPARα was initially investigated using co-immunoprecipitation (Co-IP). Thereafter, platelets were co-cultured with human umbilical vein endothelial cells (HUVECs) stimulated by oxidized low-density lipoprotein (ox-LDL). The mitochondrial function of platelets was examined by flow cytometry. Platelet activation and endocannabinoid levels were quantified using ELISA, and the expression of PPARα and endocannabinoid-degrading enzymes was determined by Western blotting. Subsequently, QHZYF was incorporated into the aforementioned system, and the entire experimental protocol was replicated to explore how QHZYF influences platelet activation through the SIRT1/PPARα pathway-mediated endocannabinoid system. ResultsIn the in vivo experiments, it was observed that QHZYF significantly augmented the levels of SIRT1 and PPARα, concurrently with a decrease in the expression of endocannabinoid-degrading enzymes. This was paralleled by a rise in endogenous cannabinoid levels and a reduction in platelet activation, a process that was found to be regulated by SIRT1. The co-immunoprecipitation (Co-IP) analysis substantiated the cooperative interaction between SIRT1 and PPARα, underscoring their role in mediating the endocannabinoid system, regulating mitochondrial function, and consequently influencing platelet activation. In the in vitro studies, a co-culture system involving platelets and HUVECs stimulated with ox-LDL was employed. It was noted that the SIRT1/PPARα pathway mediates the endocannabinoid system in regulating mitochondrial function, which in turn affects platelet activation. The incorporation of QHZYF-containing serum into this system produced outcomes consistent with those observed in the in vivo experiments. These findings suggest that QHZYF operates by modulating the endocannabinoid system via the SIRT1/PPARα pathway, thereby controlling mitochondrial function and inhibiting platelet activation. ConclusionSIRT1 may mediate endogenous cannabinoid signaling through its interaction with PPARα, regulating mitochondrial function and subsequently influencing platelet activation. QHZYF effectively modulates the endocannabinoid system via the SIRT1/PPARα pathway, thereby inhibiting platelet activation.

Polyclonal-to-monoclonal transition in colorectal precancerous evolution.

Unravelling the origin and evolution of precancerous lesions is crucial for effectively preventing malignant transformation, yet our current knowledge remains limited1-3. Here we used a base editor-enabled DNA barcoding system4 to comprehensively map single-cell phylogenies in mouse models of intestinal tumorigenesis induced by inflammation or loss of the Apc gene. Through quantitative analysis of high-resolution phylogenies including 260,922 single cells from normal, inflamed and neoplastic intestinal tissues, we identified tens of independent celllineages undergoing parallel clonal expansions within each lesion. We also found polyclonal origins of human sporadic colorectal polyps through bulk whole-exome sequencing and single-gland whole-genome sequencing. Genomic and clinical data support a model of polyclonal-to-monoclonal transition, with monoclonal lesions representing a more advanced stage. Single-cell RNA sequencing revealed extensive intercellular interactions in early polyclonal lesions, but there was significant loss of interactions during monoclonal transition. Therefore, our data suggest that colorectal precancer is often founded by many different lineages and highlight their cooperative interactions in the earliest stages of cancer formation. These findings provide insights into opportunities for earlier intervention in colorectal cancer.

Experience-driven competition in neural reorganization after stroke.

Behavioural experiences interact with regenerative responses to shape patterns of neural reorganization after stroke. This review is focused on the competitive nature of these behavioural experience effects. Interactions between learning-related plasticity and regenerative reactions have been found to underlie the establishment of new compensatory behaviours and the efficacy of motor rehabilitative training in rodent stroke models. Learning in intact brains depends on competitive and cooperative mechanisms of synaptic plasticity. Synapses are added in response to learning and selectively maintained and strengthened via activity-dependent competition. Long-term memories for experiences that occur closely in time can be weakened or enhanced by competitive or cooperative interactions in the time-dependent process of stabilizing synaptic changes. Rodent stroke model findings suggest that compensatory reliance on the non-paretic hand after stroke can shape and stabilize synaptic reorganization patterns in both hemispheres, to compete with the capacity for experiences of the paretic side to do so. However, the competitive edge of the non-paretic side can be countered by overlapping experiences of the paretic hand, and might even be shifted in a cooperative direction with skilfully coordinated bimanual experience. Advances in the basic understanding of learning-related synaptic competition are helping to inform the basis of experience-dependent variations in stroke outcome.

Solar‐Driven Methanogenesis through Microbial Ecosystem Engineering on Carbon Nitride

AbstractSemi‐biological photosynthesis combines synthetic photosensitizers with microbial catalysts to produce sustainable fuels and chemicals from CO2. However, the inefficient transfer of photoexcited electrons to microbes leads to limited CO2 utilization, restricting the catalytic performance of such biohybrid assemblies. Here, we introduce a biological engineering solution to address the inherently sluggish electron uptake mechanism of a methanogen, Methanosarcina barkeri (M. barkeri), by coculturing it with an electron transport specialist, Geobacter sulfurreducens KN400 (KN400), an adapted strain rich with multiheme c‐type cytochromes (c‐Cyts) and electrically conductive protein filaments (e‐PFs) made of polymerized c‐Cyts with enhanced capacity for extracellular electron transfer (EET). Integration of this M. barkeri‐KN400 co‐culture with a synthetic photosensitizer, carbon nitride, demonstrates that c‐Cyts and e‐PFs, emanating from live KN400, transport photoexcited electrons efficiently from the carbon nitride to M. barkeri for methanogenesis with remarkable long‐term stability and selectivity. The demonstrated cooperative interaction between two microbes via direct interspecies electron transfer (DIET) and the photosensitizer to assemble a semi‐biological photocatalyst introduces an ecosystem engineering strategy in solar chemistry to drive sustainable chemical reactions.

Evaluation of Hurricane Analysis and Forecast System (HAFS) Error Statistics Stratified by Internal Structure and Environmental Metrics

Abstract This study quantifies tropical cyclone (TC) error statistics from the Hurricane Analysis and Forecast System (HAFS) across different environmental conditions (e.g., vertical wind shear) and inner core structural metrics. A particular focus is the evolution of poorly understood aspects of internal TC structure, including vortex tilt, and their impact on forecast errors. Although previous studies have demonstrated that vortex tilt, vertical wind shear, and precipitation processes impact TC intensity and track, this is the first known study to stratify these cooperative interactions to gain insights on their relationships with forecast errors. A three-year retrospective sample of forecasts in the North Atlantic basin from two HAFS configurations (-A and -B) demonstrates that TCs with larger tilt magnitudes have larger forecast track errors on average than smaller tilt TCs. Smaller tilt magnitudes have larger absolute intensity errors in short range forecasts, whereas larger tilt magnitudes tend to have larger negative intensity biases at medium range. TCs with a tilted vortex are shown to have both left of shear (maximizing DSL) and left of tilt oriented positional track biases. Furthermore, those cases with greater downshear biases tend to have more convection and larger positive intensity biases, highlighting the importance of the interplay between inner core characteristics and forecast errors.

Deep quantification of substrate turnover defines protease subsite cooperativity.

Substrate specificity determines protease functions in physiology and in clinical and biotechnological applications, yet quantitative cleavage information is often unavailable, biased, or limited to a small number of events. Here, we develop qPISA (quantitative Protease specificity Inference from Substrate Analysis) to study Dipeptidyl Peptidase Four (DPP4), a key regulator of blood glucose levels. We use mass spectrometry to quantify >40,000 peptides from a complex, commercially available peptide mixture. By analyzing changes in substrate levels quantitatively instead of focusing on qualitative product identification through a binary classifier, we can reveal cooperative interactions within DPP4's active pocket and derive a sequence motif that predicts activity quantitatively. qPISA distinguishes DPP4 from the related C. elegans DPF-3 (a DPP8/9-orthologue), and we relate the differences to the structural features of the two enzymes. We demonstrate that qPISA can direct protein engineering efforts like the stabilization of GLP-1, a key DPP4 substrate used in the treatment of diabetes and obesity. Thus, qPISA offers a versatile approach for profiling protease and especially exopeptidase specificity, facilitating insight into enzyme mechanisms and biotechnological and clinical applications.

Crowding for Confinement: Reversible Isomerization of First-Generation Donor-Acceptor Stenhouse Adduct Derivatives in Water Modulated by Thermoresponsive Dendritic Macromolecules.

Mimicking nature, the reversible isomerization of hydrophobic dyes in aqueous solutions is appealing for bio-applications. Here, we report on the reversible isomerization of first-generation solvatochromic donor-acceptor Stenhouse adducts (DASAs) in water within dendritic matrices, realized either through the dendronization of DASAs or the incorporation of DASA pendants into dendronized copolymers. These dendritic macromolecules contain three-fold dendritic oligoethylene glycols (OEGs), which afford the macromolecules water-solubility and unprecedented thermoresponsive behavior. The thermoresponsive behavior of both dendronized DASAs and dendronized copolymers is dominated by the peripherals of dendritic OEGs. However, the hydrophilicity of the acceptor from DASA moieties also play a role in mediating their thermal phase transitions, and more importantly, tailor the hydrophobic interactions between dendritic OEGs and DASA moieties. Intriguingly, dendritic topologies contribute confinement to encapsulate the DASA moieties through crowding effects, and cooperative interactions from the crowded dendritic OEGs modulate the DASA moieties with different isomerization in aqueous media. The thermally induced collapse of dendritic OEGs, accompanied by the aggregation of dendritic macromolecules, leads to the formation of hydrophobic domains, which exert enhanced crowding effects to efficiently encapsulate the DASA moieties. Compared to the low molar mass of dendronized DASAs, thermally collapsed dendronized copolymers can efficiently retard the hydration of DASA pendants through cooperation between neighboring dendritic OEGs and afford the DASA pendants with better confined microenvironments to mediate their isomerization recovery by up to 90% from a cyclic charged (hydrophilic) state into a noncharged (hydrophobic) linear state in water. This dendritic confinement exhibits excellent fatigue resistance after several cycles of alternating photo-irradiation and thermal annealing at elevated temperatures.

The role of the microbiota in respiratory virus-bacterial pathobiont relationships in the upper respiratory tract.

The mechanisms by which respiratory viruses predispose to secondary bacterial infections remain poorly characterized. Using 2,409 nasopharyngeal swabs from 300 infants in Botswana, we performed a detailed analysis of factors that influence the dynamics of bacterial pathobiont colonization during infancy. We quantify the extent to which viruses increase the acquisition of Haemophilus influenzae , Moraxella catarrhalis , and Streptococcus pneumoniae . We provide evidence of cooperative interactions between these pathobionts while identifying host characteristics and environmental exposures that influence the odds of pathobiont colonization during early life. Using 16S rRNA gene sequencing, we demonstrate that respiratory viruses result in losses of putatively beneficial Corynebacterium and Streptococcus species that are associated with a lower odds of pathobiont acquisition. These findings provide novel insights into viral-bacterial relationships in the URT of direct relevance to respiratory infections and suggest that the URT bacterial microbiota is a potentially modifiable mechanism by which viruses promote bacterial respiratory infections.

Competitive interactions shape brain dynamics and computation across species.

Adaptive cognition relies on cooperation across anatomically distributed brain circuits. However, specialised neural systems are also in constant competition for limited processing resources. How does the brain's network architecture enable it to balance these cooperative and competitive tendencies? Here we use computational whole-brain modelling to examine the dynamical and computational relevance of cooperative and competitive interactions in the mammalian connectome. Across human, macaque, and mouse we show that the architecture of the models that most faithfully reproduce brain activity, consistently combines modular cooperative interactions with diffuse, long-range competitive interactions. The model with competitive interactions consistently outperforms the cooperative-only model, with excellent fit to both spatial and dynamical properties of the living brain, which were not explicitly optimised but rather emerge spontaneously. Competitive interactions in the effective connectivity produce greater levels of synergistic information and local-global hierarchy, and lead to superior computational capacity when used for neuromorphic computing. Altogether, this work provides a mechanistic link between network architecture, dynamical properties, and computation in the mammalian brain.

On the rate-limiting dynamics of force development in muscle.

Skeletal muscles produce forces relatively slowly compared with the action potentials that excite them. The dynamics of force production are governed by multiple processes, such as calcium activation, cycling of cross-bridges between myofilaments, and contraction against elastic tissues and the body. These processes have been included piecemeal in some muscle models, but not integrated to reveal which are the most rate limiting. We therefore examined their integrative contributions to force development in two conventional types of muscle models: Hill-type and cross-bridge. We found that no combination of these processes can self-consistently reproduce classic data such as twitch and tetanus. Rather, additional dynamics are needed following calcium activation and facilitating cross-bridge cycling, such as for cooperative myofilament interaction and reconfiguration. We provisionally lump such processes into a simple first-order model of 'force facilitation dynamics' that integrate into a cross-bridge-type muscle model. The proposed model self-consistently reproduces force development for a range of excitations including twitch and tetanus and electromyography-to-force curves. The model's step response reveals relatively small timing contributions of calcium activation (3%), cross-bridge cycling (3%) and contraction (27%) to overall force development of human quadriceps, with the remainder (67%) explained by force facilitation. The same set of model parameters predicts the change in force magnitude (gain) and timing (phase delay) as a function of excitatory firing rate, or as a function of cyclic contraction frequency. Although experiments are necessary to reveal the dynamics of muscle, integrative models are useful for identifying the main rate-limiting processes.

Activation and Deactivation of Chirality Transfer in the Superbundles of Sequence-defined Stereoisomers.

Discrete oligomers can be used to precisely evaluate the structure-property relationship and enable unique chiroptical activities, however, the role of stereochemical sequences in chirality transfer is still unclear. Herein, we report the successful synthesis of a series of sequence-defined chiral azobenzene (Azo) oligomers via iterative stepwise chain growth strategy, and the discovery of controllable activation and deactivation of chirality transfer. Sequence-defined stereoisomers with one single chiral (L or D) stereocenter at the α-position, ω-position and middle- (m-) position have completely different self-assembly dynamics and chirality transfer mechanisms. ω-positional stereocenter can effectively command all Azo building blocks to adopt a tilted π-π stacking along the helical superbundles, exhibiting the activation of chirality transfer. However, discrete oligomers with the stereocenter at other positions can only self-assemble into non-helical nanowires, accompanied by the deactivation of chirality transfer. Kinetic experiments as well as chemical simulations indicate that the cooperative supramolecular interaction, including the π-π interaction between repeated Azo units, the intermolecular hydrogen bonding and steric hindrance, are intrinsic driving forces for these differentiations. This study has shed light on the unique self-assembled kinetics in stereosequential oligomers and the mechanism of chirality induction at hierarchical levels.

Activation and Deactivation of Chirality Transfer in the Superbundles of Sequence‐defined Stereoisomers

Discrete oligomers can be used to precisely evaluate the structure‐property relationship and enable unique chiroptical activities, however, the role of stereochemical sequences in chirality transfer is still unclear. Herein, we report the successful synthesis of a series of sequence‐defined chiral azobenzene (Azo) oligomers via iterative stepwise chain growth strategy, and the discovery of controllable activation and deactivation of chirality transfer. Sequence‐defined stereoisomers with one single chiral (L or D) stereocenter at the α‐position, ω‐position and middle‐ (m‐) position have completely different self‐assembly dynamics and chirality transfer mechanisms. ω‐positional stereocenter can effectively command all Azo building blocks to adopt a tilted π‐π stacking along the helical superbundles, exhibiting the activation of chirality transfer. However, discrete oligomers with the stereocenter at other positions can only self‐assemble into non‐helical nanowires, accompanied by the deactivation of chirality transfer. Kinetic experiments as well as chemical simulations indicate that the cooperative supramolecular interaction, including the π‐π interaction between repeated Azo units, the intermolecular hydrogen bonding and steric hindrance, are intrinsic driving forces for these differentiations. This study has shed light on the unique self‐assembled kinetics in stereosequential oligomers and the mechanism of chirality induction at hierarchical levels.

Positive Politeness in “James Corden on Final Week of the Late Late Show” Video

This research analyzed positive politeness strategies using Brown &amp; Levinson (1987) theory in the video "James Corden on Final Week of The Late Late Show." A descriptive qualitative method and Sugiyono (2013) observational approach was employed. The researcher followed a systematic process that included watching the video, identifying positive politeness utterances, and categorizing them based on the 15 strategies proposed by Brown &amp; Levinson. The analysis revealed a total of 27 instances of positive politeness. The fifth strategy, seeking agreement, was the most frequently observed, appearing 14 times. This strategy often involved responses that affirmed or agreed with the speaker's statements, contributing to a harmonious and cooperative interaction. Other identified strategies included exaggerating (found once), intensifying interest to the hearer (found twice), avoiding disagreement (found four times), presupposing or raising or asserting (found four times), and joking (found twice). Exaggeration was seen when Jimmy enthusiastically responded "Absolutely" instead of a simple "yes." Intensifying interest was demonstrated through James's father's captivating storytelling, which engaged Jimmy's curiosity. Avoiding disagreement was evident when James chose a vague response to Jimmy's comment about his middle name. Presupposing, raising, or asserting was used by James with filler words like "you know" to create a sense of shared understanding. Joking was exemplified by Jimmy's humorous introduction to James, which entertained the audience. The remaining nine strategies from Brown &amp; Levinson's framework were not observed in the data. This study provides insights into the use of positive politeness in media discourse, highlighting the practical applications of these strategies in maintaining positive social interactions.