PubMed İndeksli Yayınlar Koleksiyonu
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Article Citation Count: 1Solidarity tourism: A pathway to revitalising the health of vulnerable war-affected populations?(University of Edinburgh, 2023) Kozak, Metin; Hu,F.; Zheng,D.; Phau,I.; Kozak,M.; Hou,H.; Wang,W.[No abstract available]Article Citation Count: 4Beyond sightseeing: How can tourism affect public/global health in modern society?(University of Edinburgh, 2022) Kozak, Metin; Kozak,M.; Jiang,Y.[No abstract available]Article Citation Count: 1Homosynaptic plasticity induction causes heterosynaptic changes at the unstimulated neighbors in an induction pattern and location-specific manner(Frontiers Media Sa, 2023) Argunsah, Ali Ozgur; Israely, InbalDendritic spines are highly dynamic structures whose structural and functional fluctuations depend on multiple factors. Changes in synaptic strength are not limited to synapses directly involved in specific activity patterns. Unstimulated clusters of neighboring spines in and around the site of stimulation can also undergo alterations in strength. Usually, when plasticity is induced at single dendritic spines with glutamate uncaging, neighboring spines do not show any significant structural fluctuations. Here, using two-photon imaging and glutamate uncaging at single dendritic spines of hippocampal pyramidal neurons, we show that structural modifications at unstimulated neighboring spines occur and are a function of the temporal pattern of the plasticity-inducing stimulus. Further, the relative location of the unstimulated neighbors within the local dendritic segment correlates with the extent of heterosynaptic plasticity that is observed. These findings indicate that naturalistic patterns of activity at single spines can shape plasticity at nearby clusters of synapses, and may play a role in priming local inputs for further modifications.Article Citation Count: 0The impact of COVID-19 trauma on healthcare workers: Examining the relationship between stress and growth through the lens of memory(Wiley, 2024) Oner, Sezin; Bilgin, Ezgi; Caglar, Emine SeymaThe COVID-19 pandemic constituted tremendous traumatic stress among the frontline healthcare workers. In the present study, we investigated relationships of two types of rumination, namely brooding and reflection, with traumatic stress and post-traumatic growth and the mediating role of recollective experience in these relationships. A total of 88 healthcare workers (75% female, M-age = 54.91) actively providing service to COVID-19 patients reported two memories of events that impacted them the most at the first peak of the pandemic and rated their recollective experience (i.e., phenomenological characteristics of memories). We used structural equation modelling to test whether recollective experience mediated the link of brooding and reflection with post-trauma reactions of stress and growth. The findings showed that brooding and reflection were associated with higher levels of traumatic stress and post-traumatic growth. Importantly, recollective experience mediated the relationship of rumination with traumatic stress but this differed for the type of rumination. Higher brooding was associated with greater traumatic stress and that relationship was independent of how well the memories were recollected, while for reflection, high reflection was associated with stronger recollective experience, which predicted higher traumatic stress and post-traumatic growth. The present study shows the functional dimensions of reflective rumination and presents novel findings that demonstrates the discrete mnemonic mechanisms underlying the association between brooding, reflection, and post-trauma reactions.Article Citation Count: 0A new cloud-based method for composition of healthcare services using deep reinforcement learning and Kalman filtering(Pergamon-elsevier Science Ltd, 2024) Zhong, Chongzhou; Darbandi, Mehdi; Nassr, Mohammad; Latifian, Ahmad; Hosseinzadeh, Mehdi; Navimipour, Nima JafariHealthcare has significantly contributed to the well-being of individuals around the globe; nevertheless, further benefits could be derived from a more streamlined healthcare system without incurring additional costs. Recently, the main attributes of cloud computing, such as on-demand service, high scalability, and virtualization, have brought many benefits across many areas, especially in medical services. It is considered an important element in healthcare services, enhancing the performance and efficacy of the services. The current state of the healthcare industry requires the supply of healthcare products and services, increasing its viability for everyone involved. Developing new approaches for discovering and selecting healthcare services in the cloud has become more critical due to the rising popularity of these kinds of services. As a result of the diverse array of healthcare services, service composition enables the execution of intricate operations by integrating multiple services' functionalities into a single procedure. However, many methods in this field encounter several issues, such as high energy consumption, cost, and response time. This article introduces a novel layered method for selecting and evaluating healthcare services to find optimal service selection and composition solutions based on Deep Reinforcement Learning (Deep RL), Kalman filtering, and repeated training, addressing the aforementioned issues. The results revealed that the proposed method has achieved acceptable results in terms of availability, reliability, energy consumption, and response time when compared to other methods.Article Citation Count: 0What is Quantum in probabilistic explanations of the sure-thing principle violation?(Elsevier Sci Ltd, 2024) Pusuluk, Onur; Pusuluk, OnurThe Prisoner's Dilemma game (PDG) is one of the simple test -beds for the probabilistic nature of the human decision -making process. Behavioral experiments have been conducted on this game for decades and show a violation of the so-called sure -thing principle , a key principle in the rational theory of decision. Quantum probabilistic models can explain this violation as a second -order interference effect, which cannot be accounted for by classical probability theory. Here, we adopt the framework of generalized probabilistic theories and approach this explanation from the viewpoint of quantum information theory to identify the source of the interference. In particular, we reformulate one of the existing quantum probabilistic models using density matrix formalism and consider different amounts of classical and quantum uncertainties for one player's prediction about another player's action in PDG. This enables us to demonstrate that what makes possible the explanation of the violation is the presence of quantum coherence in the player's initial prediction and its conversion to probabilities during the dynamics. Moreover, we discuss the role of other quantum informationtheoretical quantities, such as quantum entanglement, in the decision -making process. Finally, we propose a three -choice extension of the PDG to compare the predictive powers of quantum probability theory and a more general probabilistic theory that includes it as a particular case and exhibits third -order interference.Article Citation Count: 4Addressing climate change with behavioral science: A global intervention tournament in 63 countries(Amer Assoc Advancement Science, 2024) Vlasceanu, Madalina; Doell, Kimberly C.; Bak-Coleman, Joseph B.; Todorova, Boryana; Berkebile-Weinberg, Michael M.; Grayson, Samantha J.; Van Bavel, Jay J.Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on four climate mitigation outcomes: beliefs, policy support, information sharing intention, and an effortful tree-planting behavioral task. Across 59,440 participants from 63 countries, the interventions' effectiveness was small, largely limited to nonclimate skeptics, and differed across outcomes: Beliefs were strengthened mostly by decreasing psychological distance (by 2.3%), policy support by writing a letter to a future-generation member (2.6%), information sharing by negative emotion induction (12.1%), and no intervention increased the more effortful behavior-several interventions even reduced tree planting. Last, the effects of each intervention differed depending on people's initial climate beliefs. These findings suggest that the impact of behavioral climate interventions varies across audiences and target behaviors.Article Citation Count: 4Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service(Elsevier, 2024) Aminizadeh, Sarina; Heidari, Arash; Dehghan, Mahshid; Toumaj, Shiva; Rezaei, Mahsa; Navimipour, Nima Jafari; Unal, MehmetThe healthcare sector, characterized by vast datasets and many diseases, is pivotal in shaping community health and overall quality of life. Traditional healthcare methods, often characterized by limitations in disease prevention, predominantly react to illnesses after their onset rather than proactively averting them. The advent of Artificial Intelligence (AI) has ushered in a wave of transformative applications designed to enhance healthcare services, with Machine Learning (ML) as a noteworthy subset of AI. ML empowers computers to analyze extensive datasets, while Deep Learning (DL), a specific ML methodology, excels at extracting meaningful patterns from these data troves. Despite notable technological advancements in recent years, the full potential of these applications within medical contexts remains largely untapped, primarily due to the medical community's cautious stance toward novel technologies. The motivation of this paper lies in recognizing the pivotal role of the healthcare sector in community well-being and the necessity for a shift toward proactive healthcare approaches. To our knowledge, there is a notable absence of a comprehensive published review that delves into ML, DL and distributed systems, all aimed at elevating the Quality of Service (QoS) in healthcare. This study seeks to bridge this gap by presenting a systematic and organized review of prevailing ML, DL, and distributed system algorithms as applied in healthcare settings. Within our work, we outline key challenges that both current and future developers may encounter, with a particular focus on aspects such as approach, data utilization, strategy, and development processes. Our study findings reveal that the Internet of Things (IoT) stands out as the most frequently utilized platform (44.3 %), with disease diagnosis emerging as the predominant healthcare application (47.8 %). Notably, discussions center significantly on the prevention and identification of cardiovascular diseases (29.2 %). The studies under examination employ a diverse range of ML and DL methods, along with distributed systems, with Convolutional Neural Networks (CNNs) being the most commonly used (16.7 %), followed by Long Short -Term Memory (LSTM) networks (14.6 %) and shallow learning networks (12.5 %). In evaluating QoS, the predominant emphasis revolves around the accuracy parameter (80 %). This study highlights how ML, DL, and distributed systems reshape healthcare. It contributes to advancing healthcare quality, bridging the gap between technology and medical adoption, and benefiting practitioners and patients.Article Citation Count: 1The flashbulb-like nature of memory for the first COVID-19 case and the impact of the emergency. A cross-national survey(Routledge Journals, Taylor & Francis Ltd, 2024) Lanciano, Tiziana; Alfeo, Federica; Curci, Antonietta; Marin, Claudia; D'Uggento, Angela Maria; Decarolis, Diletta; Zheng, JinFlashbulb memories (FBMs) refer to vivid and long-lasting autobiographical memories for the circumstances in which people learned of a shocking and consequential public event. A cross-national study across eleven countries aimed to investigate FBM formation following the first COVID-19 case news in each country and test the effect of pandemic-related variables on FBM. Participants had detailed memories of the date and others present when they heard the news, and had partially detailed memories of the place, activity, and news source. China had the highest FBM specificity. All countries considered the COVID-19 emergency as highly significant at both the individual and global level. The Classification and Regression Tree Analysis revealed that FBM specificity might be influenced by participants' age, subjective severity (assessment of COVID-19 impact in each country and relative to others), residing in an area with stringent COVID-19 protection measures, and expecting the pandemic effects. Hierarchical regression models demonstrated that age and subjective severity negatively predicted FBM specificity, whereas sex, pandemic impact expectedness, and rehearsal showed positive associations in the total sample. Subjective severity negatively affected FBM specificity in Turkey, whereas pandemic impact expectedness positively influenced FBM specificity in China and negatively in Denmark.Article Citation Count: 0Population politics, reproductive governance and access to abortion in Turkey(Routledge Journals, Taylor & Francis Ltd, 2024) O'Neil, Mary Lou; Ramaswamy, Amrutha; Altuntas, DenizTurkey currently pursues an aggressive pronatalist population politics which has created wide-reaching reproductive governance regulating reproductive health care and family planning choices. One aspect of this orientation centres on restricting access to abortion services despite the fact that abortion is legal through ten weeks of pregnancy. This article uses nationwide data collected from mystery patient surveys administered to all public (in 2016 and 2020), and all private (2021) hospitals in the country to determine the availability of abortion services in Turkey. Less than half of all hospitals responding provided abortions to the full extent provided by law. Abortion without restriction as to reason was largely unavailable at public hospitals and the cost of care at private hospitals remained prohibitive for many. Among those hospitals we reached, in four provinces, there was no public or private hospital providing any type of abortion care. The most frequent explanation for the lack of abortion services was that abortion is illegal. This was particularly the case for public hospitals. Despite a 10-week cutoff for abortions, 39% of private hospitals responding to the survey invoked even earlier time limits creating further restrictions. The extreme pronatal orientation of the reproductive governance currently in place has created a state of reproductive injustice that makes enhanced access to abortion of vital importance.Article Citation Count: 0Exploring the spatial mental associations of distinct food types(Academic Press Ltd- Elsevier Science Ltd, 2024) Gökçe, Ahu; Gokce, AhuPrevious research explored the spatial representations of healthy low -calorie and unhealthy high -calorie food items, revealing an association of healthy low -calorie food with left and top sides, and unhealthy/high-calorie food with right and top sides. This association, namely side bias, was limited to these specific categories leaving the representations of healthy high -calorie and unhealthy low -calorie food categories yet to be explored. Present study was designed to examine the spatial representation of four food categories (unhealthy low -calorie, unhealthy high -calorie, healthy low -calorie, healthy high -calorie) using a computerized food placement task. In Experiment 1, participants placed four food items from different categories into eight locations. In Experiment 2, identical task was used with the addition of centrally presented anchor food item to investigate the mental representation of food items in relation to each other. The frequency of placing food items in specific spatial locations were measured. The results of Experiment 1 provided partial support for side bias. However, the use of anchor items in Experiment 2 provided compelling evidence for vertical side bias, demonstrating consistent pattern of placing healthy foods on the upper sides and unhealthy foods on the lower sides. In both experiments, real -life food choices were examined to investigate whether the high -calorie bias would be observed in actual food choice behavior. The results from both experiments indicated strong preference to select high -calorie foods, supporting high -calorie bias. Overall, this study extends the evidence on the spatial representations of distinct food categories.Review Citation Count: 0Enhancing portfolio management using artificial intelligence: literature review(Frontiers Media Sa, 2024) Sutiene, Kristina; Schwendner, Peter; Sipos, Ciprian; Lorenzo, Luis; Mirchev, Miroslav; Lameski, Petre; Cerneviciene, JurgitaBuilding an investment portfolio is a problem that numerous researchers have addressed for many years. The key goal has always been to balance risk and reward by optimally allocating assets such as stocks, bonds, and cash. In general, the portfolio management process is based on three steps: planning, execution, and feedback, each of which has its objectives and methods to be employed. Starting from Markowitz's mean-variance portfolio theory, different frameworks have been widely accepted, which considerably renewed how asset allocation is being solved. Recent advances in artificial intelligence provide methodological and technological capabilities to solve highly complex problems, and investment portfolio is no exception. For this reason, the paper reviews the current state-of-the-art approaches by answering the core question of how artificial intelligence is transforming portfolio management steps. Moreover, as the use of artificial intelligence in finance is challenged by transparency, fairness and explainability requirements, the case study of post-hoc explanations for asset allocation is demonstrated. Finally, we discuss recent regulatory developments in the European investment business and highlight specific aspects of this business where explainable artificial intelligence could advance transparency of the investment process.Article Citation Count: 0Background TV and infant-family interactions: Insights from home observations(Wiley, 2024) Uzundag, Berna A.; Koskulu-Sancar, Suemeyye; Kuntay, Aylin C.Background television has been found to negatively impact children's language development and self-regulatory skills, possibly due to decreased parent-child interactions. Most of the research on the relationship between background TV and caregiver-child interactions has been conducted in laboratory settings. In the current study, we conducted home observations and investigated whether infants engage in fewer interactions with family members in homes where background TV is more prevalent. We observed 32 infants at the ages of 8, 10, and 18 months in their home environments, coding for dyadic interactions (e.g., parent talking to and/or engaging with the child), triadic interactions (e.g., parent and infant play with a toy together), and infants' individual activities. Our findings revealed that background TV was negatively associated with the time infants spent in triadic interactions, positively associated with time spent engaging in individual activities, and not significantly related to the time spent in dyadic interactions. Apart from the relationship between background TV and individual activity time at 8 months, these associations remained significant even after accounting for families' socioeconomic status. These findings imply a correlation between background TV exposure and caregiver-infant-object interactions, warranting a longitudinal analysis with larger sample sizes.Article Citation Count: 2A Wearable Touch-Activated Device Integrated with Hollow Microneedles for Continuous Sampling and Sensing of Dermal Interstitial Fluid(Wiley-v C H verlag Gmbh, 2023) Abbasiasl, Taher; Mirlou, Fariborz; Mirzajani, Hadi; Bathaei, Mohammad Javad; Istif, Emin; Shomalizadeh, Narges; Beker, LeventDermal interstitial fluid (ISF) is emerging as a rich source of biomarkers that complements conventional biofluids such as blood and urine. However, the impact of ISF sampling in clinical applications has been limited owing to the challenges associated with extraction. The implementation of microneedle-based wearable devices that can extract dermal ISF in a pain-free and easy-to-use manner has attracted growing attention in recent years. Here, a fully integrated touch-activated wearable device based on a laser-drilled hollow microneedle (HMN) patch for continuous sampling and sensing of dermal ISF is introduced. The developed platform can produce and maintain the required vacuum pressure (as low as approximate to -53 kPa) to collect adequate volumes of ISF (approximate to 2 mu L needle-1 h-1) for medical applications. The vacuum system can be activated through a one-touch finger operation. A parametric study is performed to investigate the effect of microneedle array size, vacuum pressure, and extraction duration on collected ISF. The capability of the proposed platform for continuous health monitoring is further demonstrated by the electrochemical detection of glucose and pH levels of ISF in animal models. This HMN-based system provides an alternative tool to the existing invasive techniques for ISF collection and sensing for medical diagnosis and treatment. A fully-integrated touch-activated wearable device is developed for continuous sampling and electrochemical analysis of interstitial fluid. The elastic self-recovery of the vacuum generation system enables a wide range of negative pressures and extraction rates. The developed device can successfully detect glucose and pH levels and holds the potential for continuous sensing of multiple biomarkers in extracted interstitial fluid.imageArticle Citation Count: 0Superior Conductivity of Transparent ZnO/MoS2 Composite Films for Optoelectronic and Solar Cell Applications(Mdpi, 2023) Kirkil, Gökhan; Kirkil, Gokhan; OEzugur Uysal, BengueThe use of transparent conductive oxides in optoelectronics created a revolution where new-generation materials with high transmittance, low sheet resistance values, durability, and portability can be achieved without decreasing efficiency or increasing costs. Transparent ZnO/MoS2 sandwich-structured conductive composite films were produced in this study via the sol-gel method, which is considered the most efficient method due to its simple process and low cost. The crystal structure properties of ZnO/MoS2 were characterized via X-ray diffraction (XRD) patterns. The crystal sizes of ZnO films doped with different amounts of MoS2 were determined. A UV-visible absorption spectrometer was used to perform the spectroscopic analysis of the film. The area under the absorption curve and the full width of the half-maxima of absorbance data were calculated. Using these values, the optimum amount of MoS2 was determined for the best additive distribution. In addition, in order to determine the best transparent conductive material, resistance values measured via the four-point probe method were compared for different MoS2 additive amounts. The optical and electrical characterizations of transparent ZnO/MoS2 conductive oxide films were investigated. According to the parameters obtained via UV-vis spectroscopy, XRD, and four-point probe measurements, the most effective dispersion that exhibits a low width ratio and high resonance ratio was found for ZnO/MoS2 with a doping amount of 4 mg, the crystallite size of the films was found to be within the range of 21.5 and 24.6 nm, and these observations demonstrated a figure-of-merit value of more than 4.8 x 10(-2) with respect to these sandwich-structured films. Compared to the values of previous studies on various transparent ZnO-doped conductive oxide materials, it is possible to claim that these new films have a structure that is very similar to the transparent conductivity characteristics of other films, and they may even be superior relative to some MoS2 amounts.Article Citation Count: 0Newly synthesized 6-substituted piperazine/phenyl-9-cyclopentyl containing purine nucleobase analogs act as potent anticancer agents and induce apoptosis via inhibiting Src in hepatocellular carcinoma cells(Royal Soc Chemistry, 2023) Eşsiz, Şebnem; Durmaz Sahin, Irem; Altiparmak, Duygu; Servili, Burak; Essiz, Sebnem; Cetin-Atalay, Rengul; Tuncbilek, MeralNewly synthesized 6-substituted piperazine/phenyl-9-cyclopentyl-containing purine nucleobase analogs were tested for their in vitro anticancer activity against human cancer cells. Compounds 15, 17-24, 49, and 56 with IC50 values less than 10 mu M were selected for further examination on an enlarged panel of liver cancer cell lines. Experiments revealed that compound 19 utilizes its high cytotoxic potential (IC50 < 5 mu M) to induce apoptosis in vitro. Compound 19 displayed a KINOMEscan selectivity score S35 of 0.02 and S10 of 0.01 and demonstrated a significant selectivity against anaplastic lymphoma kinase (ALK) and Bruton's tyrosine kinase (BTK) over other kinases. Compounds 19, 21, 22, 23, and 56 complexed with ALK, BTK, and (discoidin domain-containing receptor 2) DDR2 were analyzed structurally for binding site interactions and binding affinities via molecular docking and molecular dynamics simulations. Compounds 19 and 56 displayed similar interactions with the activation loop of the kinases, while only compound 19 reached toward the multiple subsites of the active site. Cell cycle and signaling pathway analyses exhibited that compound 19 decreases phosho-Src, phospho-Rb, cyclin E, and cdk2 levels in liver cancer cells, eventually inducing apoptosis.Article Citation Count: 0Interaction between varying social ties on health: Perceived partner responsiveness and institutional trust(John Wiley & Sons Ltd, 2024) Tosyali, Furkan; Harma, MehmetThe interplay between different forms of social relationships, that is, perceived partner responsiveness and institutional trust, on subjective health evaluations was examined for the first time. There were 1241 respondents who had a romantic relationship. After adjusting for the covariates, findings suggested that greater perceived partner responsiveness and institutional trust led respondents to report better subjective health. The positive link between perceived partner responsiveness and subjective health was more pronounced among the respondents reporting a lower level of institutional trust. Such an interaction could be an indicator pointing out the compensatory role of close relationship dynamics. Given that finding, public health authorities and practitioners could be encouraged to be aware of the adaptive function of social ties on health and focus on maintaining the strength of intimate social ties and building trust between authority gradients. This suggestion could especially be adaptive not only during "normal" times but also during post-disaster circumstances (e.g., COVID-19).Article Citation Count: 0Dynamics of Feline Coronavirus and FIP: A Compartmental Modeling Approach(Hindawi Ltd, 2023) Bilge, Ayşe Hümeyra; Bayrakal, Alper; Or, Mehmet Erman; Bilge, Ayse HumeyraThe investigation of infectious agents invading human and nonhuman populations represents a rich research domain within the framework of mathematical biology, captivating the interest of scientists across various disciplines. In this work, we examine the endemic equilibrium of feline coronavirus and feline infectious peritonitis by using a modified susceptible-infected-susceptible epidemiological model. We incorporate the concept of mutations from FCoV to FIP to enrich our analysis. We establish that the model, when subjected to reasonable parameter ranges, supports an endemic equilibrium wherein the FCoV group dominates. To demonstrate the stability of the equilibria under typical parameters and initial conditions, we employ the model SCF presented by Dobie in 2022 (Dobie, 2022). We ascertain that the equilibrium values reside within the interior domains of stability. Additionally, we displayed perturbed solutions to enhance our understanding. Remarkably, our findings align qualitatively with existing literature, which reports the prevalence of seropositivity to FCoV among stray cats (Tekelioglu et al. 2015, Oguzoglu et al. 2010, Pratelli 2008, Arshad et al. 2004).Article Citation Count: 0Effective health communication depends on the interaction of message source and content: two experiments on adherence to COVID-19 measures in Türkiye(Taylor & Francis Ltd, 2023) Yılmaz, Onurcan; Aktar, Bengi; Aydas, Berke; Yilmaz, Onurcan; Alper, Sinan; Isler, OzanObjectiveFollowing the COVID-19 outbreak, authorities recommended preventive measures to reduce infection rates. However, adherence to calls varied between individuals and across cultures. To determine the characteristics of effective health communication, we investigated three key features: message source, content, and audience.MethodsUsing a pre-test and two experiments, we tested how message content (emphasizing personal or social benefit), audience (individual differences), message source (scientists or state officials), and their interaction influence adherence to preventive measures. Using fliers advocating preventive measures, Experiment 1 investigated the effects of message content and examined the moderator role of individual differences. Experiment 2 presented the messages using news articles and manipulated sources.ResultsStudy 1 found decreasing adherence over time, with no significant impact from message content or individual differences. Study 2 found messages emphasizing 'protect yourself' and 'protect your country' to increase intentions for adherence to preventive measures. It also revealed an interaction between message source and content whereby messages emphasizing personal benefit were more effective when they came from healthcare professionals than from state officials. However, message source and content did not affect vaccination intentions or donations for vaccine research.ConclusionEffective health communication requires simultaneous consideration of message source and content.Article Citation Count: 0Investigation of Structural and Antibacterial Properties of WS2-Doped ZnO Nanoparticles(Amer Chemical Soc, 2024) Eşsiz, Şebnem; Essiz, Sebnem; Uysal, Bengu OzugurZnO nanoparticles, well-known for their structural, optical, and antibacterial properties, are widely applied in diverse fields. The doping of different materials to ZnO, such as metals or metal oxides, is known to ameliorate its properties. Here, nanofilms composed of ZnO doped with WS2 at 5, 15, and 25% ratios are synthesized, and their properties are investigated. Supported by molecular docking analyses, the enhancement of the bactericidal properties after the addition of WS2 at different ratios is highlighted and supported by the inhibitory interaction of residues playing a crucial role in the bacterial survival through the targeting of proteins of interest.
