Browsing by WoS Q "Q1"

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A Capacitated Lot Sizing Problem With Stochastic Setup Times and Overtime
(Elsevier Science bv, 2019) Jabali, Ola; Gendreau, Michel; Jans, Raf; Taş, Duygu
In this paper, we study a Capacitated Lot Sizing Problem with Stochastic Setup Times and Overtime (CLSPSSTO). We describe a mathematical model that considers both regular costs (including production, setup and inventory holding costs) and expected overtime costs (related to the excess usage of capacity). The CLSP-SSTO is formulated as a two-stage stochastic programming problem. A procedure is proposed to exactly compute the expected overtime for a given setup and production plan when the setup times follow a Gamma distribution. A sample average approximation procedure is applied to obtain upper bounds and a statistical lower bound. This is then used to benchmark the performance of two additional heuristics. A first heuristic is based on changing the capacity in the deterministic counterpart, while the second heuristic artificially modifies the setup time. We conduct our computational experiments on well-known problem instances and provide comprehensive analyses to evaluate the performance of each heuristic. (C) 2018 Elsevier B.V. All rights reserved.
A Comparative Analysis of the Health Care Utilization and Costs of Patients Diagnosed With and Without Liver Cancer in the Us Medicare Population
(2017) Ogbomo, A.; Lin, Y.; Keshishian, A; Xie, L; Yuce, H; Başer, Onur
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A Data-Assisted Reliability Model for Carrier-Assisted Cold Data Storage Systems
(Elsevier, 2020) Arslan, Şuayb Şefik; Göker, Turguy; Peng, James
Cold data storage systems are used to allow long term digital preservation for institutions’ archive. The common functionality among cold and warm/hot data storage is that the data is stored on some physical medium for read-back at a later time. However in cold storage, write and read operations are not necessarily done in the same exact geographical location. Hence, a third party assistance is typically utilized to bring together the medium and the drive. On the other hand, the reliability modeling of such a decomposed system poses few challenges that do not necessarily exist in other warm/hot storage alternatives such as fault detection and absence of the carrier, all totaling up to the data unavailability issues. In this paper, we propose a generalized non-homogenous Markov model that encompasses the aging of the carriers in order to address the requirements of today's cold data storage systems in which the data is encoded and spread across multiple nodes for the long-term data retention. We have derived useful lower/upper bounds on the overall system availability. Furthermore, the collected field data is used to estimate parameters of a Weibull distribution to accurately predict the lifetime of the carriers in an example scale-out setting.
A Discourse Analysis of Bilateral Water Agreements Between Türkiye and Iraq: Legal Instruments of Water Diplomacy in the Euphrates-Tigris River Basin
(International Environmental Agreements: Politics, Law and Economics, 2026) Güleç, Cansu; Kibaroglu, Aysegul
This study examines the discursive dynamics of bilateral water diplomacy between T & uuml;rkiye and Iraq through a detailed analysis of the legal agreements governing the Euphrates-Tigris (ET) River system. Rather than focusing on the implementation or efficacy of these agreements, the paper investigates how discourse shapes the roles, identities, and power hierarchies of the involved actors over time. Employing a discourse-analytical framework, the research explores how water agreements position actors, embed values, and narrate cooperation in evolving geopolitical contexts. The paper begins with a historical overview of transboundary water relations in the ET basin, emphasizing the prevalence of bilateralism. It then lays out the conceptual and methodological foundations of discourse analysis, drawing on key literature and analytical categories such as presupposition, predication, and subject positioning. The core section applies this framework to four key water agreements between T & uuml;rkiye and Iraq, highlighting thematic shifts and evolving actor roles. A discussion section synthesizes findings through Doty's (1993) discourse model, emphasizing how identities and relations are constructed over time. Finally, the conclusion reflects on the implications of these discursive trends for the future of water diplomacy in the region. The T & uuml;rkiye-Iraq case reveals how bilateral agreements can evolve into discursive tools that align with evolving global water management paradigms, offering politically sensitive basins a transferable approach to linking contested transboundary water issues with more comprehensive and partnership-based water diplomacy.
A Few Layers Graphene Encapsulated Fe-Based Nanoparticles Synthesized from Ferrocene Containing Precursors: CVD Optimization and Evaluation for Possible Nanocatalyst Performance towards H2 Production
(Pergamon-Elsevier Science Ltd, 2026) Demirbas, Derya; Kutluay, Sinan; Agaogullari, Duygu; Suzer-Cicek, Layda; Mertdinc-Ulkuseven, Siddika; Padberg, Gero; Felderhoff, Michael; Süzer-Çiçek, İlayda; Lütfi Öveçoğlu M.
This study focuses on optimizing the synthesis of a few-layer graphene-encapsulated iron-based nanoparticles (Fe/Fe3C@C), prepared through spray drying, chemical vapor deposition (CVD), and leaching processes using ferrocene-based precursors, and their application as nanocatalysts for hydrogen (H2) production via sodium borohydride (NaBH4) methanolysis. Ferrocene-impregnated silica powders were prepared by spray drying them from a solution containing ferrocene, fumed silica, and ethanol. Then, these prepared powders, known as precursor powders, were subsequently introduced into the CVD system. Both the reduction of ferrocene and the encapsulation of Fe-based nanoparticles by graphene layers occurred in-situ during the CVD process. CVD temperature and the flow rates of CH4 and H2 gases are critical parameters that effects of the microstructural, thermal, and magnetic properties of synthesized nanoparticles. The CVD system was performed at temperatures ranging from 850 to 1000 degrees C, with variable gas flow rates of 50 or 100 mL/min. Additionally, acid leaching with hydrofluoric (HF) and hydrochloric (HCl) acids ensured the synthesis of pure powders free from silica and uncoated Fe, confirming the chemical stability of the nanoparticles. The presence of graphene in all synthesized samples within these parameter ranges were confirmed by Raman spectroscopy. Phase identifications were carried out using X-ray diffraction (XRD) and Mo & uml;ssbauer spectroscopy, revealing the Fe and trace amount Fe3C as core phases. Transmission electron microscopy (TEM) revealed the core-shell structure of the nanoparticles with a few layers of graphene coatings. Based on the coercivity and magnetic saturation values obtained from vibrating sample magnetometry (VSM), synthesized core-shell nanoparticles exhibited soft magnetic properties (Ms = 22.4-33.5 emu/g, Hc = 82.3-278.3 Oe). Fe/Fe3C@C nanoparticles obtained under optimum conditions achieved very high H2 production rate (HPR = 54200 mLH2 gcat h- 1) values, with low activation energy (Ea = 20.08 kJ mol- 1) value, highlighting their potential as an efficient and promising candidate catalyst for industrial-scale H2 production via the NaBH4 methanolysis reaction. In addition, it was found that the Fe/Fe3C@C nanoparticles retained 48% and 71% of their initial activity after 5 consecutive cycles, as measured by the HPR and TOF values, respectively.
A Machine Learning Approach To Resolving Conflicts in Physical Human-Robot Interaction
(Association for Computing Machinery, 2025) Ulas Dincer, Enes; Al-Saadi, Zaid; Hamad, Y.M.; Aydın, Yusuf; Kucukyilmaz, A.; Basdogan, C.; Dincer, Enes Ulas
As artificial intelligence techniques become more sophisticated, we anticipate that robots collaborating with humans will develop their own intentions, leading to potential conflicts in interaction. This development calls for advanced conflict resolution strategies in physical human-robot interaction (pHRI), a key focus of our research. We use a machine learning (ML) classifier to detect conflicts during co-manipulation tasks to adapt the robot's behavior accordingly using an admittance controller. In our approach, we focus on two groups of interactions, namely "harmonious"and "conflicting,"corresponding respectively to the cases of the human and the robot working in harmony to transport an object when they aim for the same target, and human and robot are in conflict when human changes the manipulation plan, e.g. due to a change in the direction of movement or parking location of the object.Co-manipulation scenarios were designed to investigate the efficacy of the proposed ML approach, involving 20 participants. Task performance achieved by the ML approach was compared against three alternative approaches: (a) a rule-based (RB) Approach, where interaction behaviors were rule-derived from statistical distributions of haptic features; (b) an unyielding robot that is proactive during harmonious interactions but does not resolve conflicts otherwise, and (c) a passive robot which always follows the human partner. This mode of cooperation is known as "hand guidance"in pHRI literature and is frequently used in industrial settings for so-called "teaching"a trajectory to a collaborative robot.The results show that the proposed ML approach is superior to the others in task performance. However, a detailed questionnaire administered after the experiments, which contains several metrics, covering a spectrum of dimensions to measure the subjective opinion of the participants, reveals that the most preferred mode of interaction with the robot is surprisingly passive. This preference indicates a strong inclination toward an interaction mode that gives more control to humans and offers less demanding interaction, even if it is not the most efficient in task performance. Hence, there is a clear trade-off between task performance and the preferred mode of interaction of humans with a robot, and a well-balanced approach is necessary for designing effective pHRI systems in the future. © 2025 Copyright held by the owner/author(s).
A Meta-Analytic Review of the Association Between Theory of Mind and Aggression
(Elsevier, 2024) Imuta, Kana; Selçuk, Bilge; Yavuz-Müren, Melis; Turunç, Gamze; Ekerim-Akbulut, Müge
Although the association between theory of mind (ToM) and aggression has been theorized, empirical findings have not revealed a clear link between these constructs. In the current meta-analytic review, we integrated findings from 83 studies (141 effect sizes) involving 41,650 participants from 18 countries to elucidate the association between ToM and aggression in typically developing children, adolescents, and adults. We found a significant negative association between ToM and aggression overall (r = −0.15). Moreover, each type and function of aggression were negatively associated with Theory of Mind (ToM). Bullying—a distinct form of aggression—was not associated with ToM. The strength of the association between overall aggression and ToM varied as a function of methodological variables: First, studies that used self-report questionnaires to measure ToM and aggression yielded the strongest effect sizes, compared to those that used task-based assessments or questionnaires completed by others (parents, teachers, peers). Second, there was a difference in the ToM measurement with the measures examining ToM with non-false belief understanding tasks yielding a stronger mean effect than those that focused exclusively on false-belief understanding. Third, the magnitude of the negative association was found to increase with participants' age, though significant negative associations between ToM and aggression held across the lifespan. These results point to the critical link between ToM and aggressive tendencies and suggest the value in implementing interventions to improve mental state understanding across the age range to foster positive social interactions.
A New Triangular Composite Shell Element With Damping Capability
(Elsevier, 2014) Körük, Hasan; Şanlıtürk, Kenan Yüce
This paper presents a new triangular composite shell element with damping capability. Formulation of the composite triangular shell element is based on stacking individual homogeneous triangular shell ele- ments on top of each other. The homogeneous shell element is an assembly of a triangular membrane element with drilling degrees of freedoms and a plate element. Damping capability is provided by means of complex element stiffness matrix of individual flat layers of the composite element. These elements with damping capability allow modelling general structures with damping treatments. A few test cases are modelled using triangular finite element developed here and the results of the complex eigenvalue analyses are compared with those of the quadrilateral shell elements proposed recently. The results obtained using the presented triangular and previous quadrilateral composite elements are also com- pared with those based on modal strain energy method and experimental results. Comparisons of the experimental and the theoretical results confirm that the modal properties including modal damping lev- els of structures with damping treatments can be predicted with high accuracy using the proposed finite element.
A Novel Plasma-Facing Ndb6 Particulate Reinforced W1ni Matrix Composite: Powder Metallurgical Fabrication, Microstructural and Mechanical Characterization
(Elsevier Sci Ltd, 2024) Boztemur, Burçak; Öveçoğlu, Mustafa Lutfi; Luo, Laima; Ağaoğulları, Duygu; Xu, Yue; Alkraidi, Ammar
Tungsten (W) is one of best candidate metal for plasma-facing materials (PFM), especially due to its high melting temperature and neutron absorption capability. However, converting W into bulk PFM is hard because of its high melting point. This problem can be solved by adding metallic sintering aids with low melting points. In this study, W matrix with 1 wt% Ni aid was reinforced by adding NdB6 particles (1, 5, and 10 wt%). It can be introduced as a novel potential PFM, thanks to its low volatility and high neutron absorbability. The ceramic and composite powders produced via mechanochemical synthesis and mechanical alloying were examined in terms of composition, particle size, crystallite size, and lattice strain. Samples sintered via pressureless sintering (PS) and spark plasma sintering (SPS) were microstructurally analyzed by using an X-ray diffractometer (XRD), a scanning electron microscope (SEM) attached with an energy dispersive spectroscope (EDS), and mechanically analyzed in terms of microhardness and wear behavior. Based on the results, W2B and WB phases emerged in the SPS'ed W1Ni-5NdB6 and PS'ed./SPS'ed W1Ni-10NdB6 composites. SPS'ed W1Ni-10NdB6 composite had the highest hardness value and the lowest specific wear rate. The SPS'ed W1Ni-5NdB6 composite showed fewer surface damages and higher irradiation resistance as compared with other samples after exposure of He+ irradiation.
A Preliminary Study on the Role of Personal History of Infectious and Parasitic Diseases on Self-Reported Health Across Countries
(W B Saunders Co Ltd, 2025) Pfuhl, Gerit; Prazeres, Filipe; Kowal, Marta; Aavik, Toivo; Abad-Villaverde, Beatriz; Afhami, Reza; Sorokowski, Piotr; Toplu-Demirtaş, Ezgi
Objectives: Infectious diseases are often associated with decline in quality of life. The aim of this study is to analyze the relationship between personal history of communicable, i.e., infectious and parasitic diseases and self-rated health. Study design: Secondary analysis of a large dataset multi-country observational study. Methods: We used a four-pronged analysis approach to investigate whether personal history of infectious and parasitic diseases is related to self-reported health, measured with a single item. Results: Three of the four analyses found a small positive effect on self-reported health among those reporting a history of pathogen exposure. The meta-analysis found no support but large heterogeneity that was not reduced by two classifications of countries. Conclusion: Personal history of infectious and parasitic diseases does not reduce self-reported health across a global sample.
A Randomized Clinical Trial Comparing the Effects of Mindfulness-Based and Cognitive Behavioral Therapy-Based Stress Reduction in Medical Students
(Cambridge Univ Press, 2024) Pence, A. Yay; Coldur, M.; Atalay, Z.; Aslan, S.; Beba, B.; Sayin, C. Coskun; Ertek, I. Ekmekci
[No Abstract Available]
A Reliability Model for Dependent and Distributed Mds Disk Array Units
(IEEE Transactions on Reliability, 2019) Arslan, Şuayb Şefik
Archiving and systematic backup of large digital data generates a quick demand for multi-petabyte scale storage systems. As drive capacities continue to grow beyond the few terabytes range to address the demands of today’s cloud, the likelihood of having multiple/simultaneous disk failures became a reality. Among the main factors causing catastrophic system failures, correlated disk failures and the network bandwidth are reported to be the two common source of performance degradation. The emerging trend is to use efficient/sophisticated erasure codes (EC) equipped with multiple parities and efficient repairs in order to meet the reliability/bandwidth requirements. It is known that mean time to failure and repair rates reported by the disk manufacturers cannot capture life-cycle patterns of distributed storage systems. In this study, we develop failure models based on generalized Markov chains that can accurately capture correlated performance degradations with multiparity protection schemes based on modern maximum distance separable EC. Furthermore, we use the proposed model in a distributed storage scenario to quantify two example use cases: Primarily, the common sense that adding more parity disks are only meaningful if we have a decent decorrelation between the failure domains of storage systems and the reliability of generic multiple single-dimensional EC protected storage systems.
A Strategy to Engage Students in Inquiry-Based Learning of Mathematics: Predict, Observe and Explain
(Springer, 2025) Karakoc, Gokhan; Alacaci, Cengiz; Ayas, Alipasa
The current research implemented the Predict Observe and Explain (POE) instructional approach in mathematics and examined its efficacy in enhancing students' understanding of functions in terms of their ability to connect algebraic and graphical representations in optimization problems. Two grade 11 classes (40 students in total) and two grade 10 classes (42 students in total) participated in this study, for a combined total of 82 students. Following a quasi-experimental design, students in the experimental group solved six open mathematical tasks in a small group setting. They were explicitly asked to predict the outcome before attempting to solve the tasks, make observations using concrete materials and finally attempt a solution. They were then expected to reflect on their observation and initial predictions to interpret their findings. The control group students were given the same tasks without an explicit heuristic. They directly attempted to solve the same problems without prediction and observation. The data were collected using students' written responses to each task. Students' responses to the tasks were assessed based on the following criteria: understanding, constructing, using a mathematical model, communicating and interpreting results. An independent samples t-test showed that the POE strategy improved students' learning in cognitive domains. The POE strategy helped students better understand the problem, select and apply appropriate mathematical methods and interpret their findings. Students in the control group spent more time discussing and integrating clues into possible solutions to the given tasks. The results were interpreted within the framework of inquiry-based education, informed by semiotic representation theory.
A Value-Adding Approach To Reliability Under Preventive Maintenance Costs and Its Applications
(Taylor & Francis Ltd, 2014) Dubey, Rameshwar; Kılıç, Erdem; Ali, Sadia Samar; Weber, Gerhard Wilhelm
No equipment (system) can be perfectly reliable in spite of the utmost care and best efforts on the part of the designer, decision-maker and manufacturer. The two sides of maintenance are corrective and preventive maintenance. It is generally assumed that a preventive maintenance action is less costly than a repair maintenance action. We examine this proposition in detail on the basis of a failure-time model that relates conformance quality to reliability. Illustratively, we present reliability in the context of contracts with asymmetric information. The model shows how to overcome information rents through price distortions and quantity rationing. The paper ends with a conclusion and an outlook to future studies.
Adding Rapid-Acting Insulin or Glp-1 Receptor Agonist To Basal Insulin: Outcomes in a Community Setting
(Amer Assoc Clinical Endocrinologists, 2015) Dalal, Mehul R; DiGenio, Andres; Xie, Lin; Başer, Onur
To evaluate real-world outcomes in patients with type 2 diabetes mellitus (T2DM)receiving basal insulin, who initiate add-on therapy with a rapid-acting insulin (RAI) or aglucagon-like peptide 1 (GLP-1) receptor agonist.Data were extracted retrospectively from a U.S. health claims database. Adults withT2DM on basal insulin who added an RAI (basal+RAI) or GLP-1 receptor agonist (basal+GLP-1) were included. Propensity score matching (1 up to 3 ratio) was used to control for differencesin baseline demographics, clinical characteristics, and health resource utilization. Endpointsincluded prevalence of hypoglycemia, pancreatic events, all-cause and diabetes-relatedresource utilization, and costs at 1 year follow-up. Overall, 6,718 matched patients were included: 5,013 basal+RAI and 1,705basal+GLP1. Patients in both groups experienced a similar proportion of any hypoglycemicevent (P = .4079). Hypoglycemic events leading to hospitalization were higher in the basal+RAIcohort (2.7% vs. 1.8%; P = .0444). The basal+GLP-1 cohort experienced fewer all-cause(13.55% vs. 18.61%; P<.0001) and diabetes-related hospitalizations (11.79% vs. 15.68%;P<.0001). The basal+GLP-1 cohort had lower total all-cause health care costs ($18,413 vs.$20,821; P = .0002), but similar diabetes-related costs ($9,134 vs. $8,985; P<.0001) comparedwith the basal+RAI cohort. Add-on therapy with a GLP-1 receptor agonist in T2DM patients receiving basalinsulin was associated with fewer hospitalizations and lower total all-cause costs compared withadd-on therapy using a RAI, and could be considered an alternative to a RAI in certain patientswith T2DM, who do not achieve effective glycemic control with basal insulin.
Advancements in Distributed Ledger Technology for Internet of Things
(Elsevier, 2020) Jurdak, Raja; Arslan, Şuayb Şefik; Krishnamachari, Bhaskar; Jelitto, Jens
Internet of Things (IoT) is paving the way for different kinds of devices to be connected and properly communicated at a mass scale. However, conventional mechanisms used to sustain security and privacy cannot be directly applied to IoT whose topology is increasingly becoming decentralized. Distributed Ledger Technologies (DLT) on the other hand comprise varying forms of decentralized data structures that provide immutability through cryptographically linking blocks of data. To be able to build reliable, autonomous and trusted IoT platforms, DLT has the potential to provide security, privacy and decentralized operation while adhering to the limitations of IoT devices. The marriage of IoT and DLT technology is not very recent. In fact many projects have been focusing on this interesting combination to address the challenges of smart cities, smart grids, internet of everything and other decentralized applications, most based on blockchain structures. In this special issue, the focus is on the new and broader technical problems associated with the DLT-based security and backend platform solutions for IoT devices and applications.
Aggression Begets Aggression: Psychological Dating Aggression Perpetration in Young Adults From the Perspective of Intergenerational Transmission of Violence
(Springer, 2021) Toplu-Demirtaş, Ezgi; Hatipoğlu-Sümer, Zeynep
The aim of this study was threefold: (1) to evaluate the factorial validity of the Psychological Aggression (PA) subscale of the Conflict Tactics Scales–Adult Recall version (CTS2-CA), (2) to investigate the prevalence of and gender differences in psychological dating aggression perpetration (PDAP; restrictive engulfment, denigration, hostile withdrawal, and dominance/intimidation), and (3) to explore a proposed path from witnessing interparental psychological aggression perpetration to PDAP via acceptance of psychological aggression as a mediator and gender as a moderator of the mediation. For the first purpose, college students (N = 275) completed father to mother and mother to father forms of the PA subscale of the CTS2-CA. Exploratory factor analyses yielded a single-factor solution for the father to mother (55.86% of the variance) and mother to father (49.12% of the variance) forms. For the second and third purposes, a separate sample of 1015 dating college students (69.6% women) completed the Multidimensional Measure of Emotional Abuse and Abuse subscale of the Intimate Partner Violence Attitude Scale-Revised, along with the PA subscale of the CTS2-CA. Gender differences emerged in the prevalence of restrictive engulfment (85.8% for women and 80.3% for men) and hostile withdrawal (96.3% for women and 91.1% for men). Moderated-mediation analyses revealed that women college students who witnessed more mother to father psychological aggression perpetration tended to hold more accepting attitudes towards psychological aggression and, in turn, perpetrated more psychological aggression against their partners. Common assumptions that boys are more likely to imitate fathers, whereas girls are more likely to imitate mothers and women [but not men] commit verbal aggression may together explain our findings from the perspective of the intergenerational transmission of violence hypothesis. For future research, we suggest investigating the proposed model with the experience of psychological aggression from the parents to the child, which may provide further insights.
Algorithmic HRM as a Regime of Control: Surveillance, Legitimacy and Worker Resistance
(Emerald Group Publishing Ltd, 2026) Kamasak, Rifat; Yazar Ozturk, Tulay; Son Turan, Semen; Palalar Alkan, Deniz
Purpose-This paper develops a conceptual framework explaining how algorithmic human resource management (HRM) reshapes workplace control, authority, legitimacy and worker resistance. It examines how data-driven surveillance and automated decision-making affect worker autonomy, front-line managerial authority, informational asymmetry, psychological contracts and collective labour relations. The paper argues that harmful outcomes are not inherent to algorithmic management but are more likely under configurations characterised by intensive surveillance, opaque decision rules, limited human oversight, restricted worker voice and weak opportunities for contestation. Design/methodology/approach-The study uses a structured narrative synthesis and conceptual theory-building approach. It integrates labour process theory, Foucauldian surveillance, organisational justice, psychological contract, socio-technical systems and algorithmic-management scholarship. The synthesis develops six propositions that specify the mechanisms through which algorithmic HRM reconfigures organisational control and the conditions under which legitimacy deteriorates and worker resistance emerges. The paper focuses on theoretical integration rather than original empirical data collection or a systematic review protocol. Findings-The analysis indicates that algorithmic HRM can compress worker autonomy, transfer decision rights from front-line supervisors to remote technical actors and consolidate organisational power through informational asymmetries. Opacity can generate perceived bias, erode organisational trust, and encourage demands for explanation and appeal rights. Algorithmic substitution for human management may weaken the relational psychological contract, while surveillance and individualised control can disrupt conventional collective organising and stimulate new technical, legal and data-centred forms of resistance. These outcomes are contingent on system design, governance arrangements, worker voice and meaningful human oversight. Originality/value-This paper offers original value by reframing algorithmic HRM as a data-driven and surveillance-based regime of organisational control rather than a neutral technological innovation. It advances HRM theory by integrating labour process theory, organisational justice and socio-technical systems to explain how informational asymmetries and legitimacy perceptions link algorithmic authority to worker responses and resistance. The study provides a coherent framework for understanding how data-driven HRM reshapes power, autonomy and contestation and offers novel insights for HRM scholarship, practice and governance debates on algorithmic management.
All You Fear Is Love: the Roles of Rejection by Intimate Others
(Wiley, 2023) Aracı-İyiaydın, Ayşegül; Toplu-Demirtaş, Ezgi; Rohner, Ronald P. P.; Akçabozan-Kayabol, Nazlı Büşra
Interpersonal acceptance-rejection theory (IPARTheory) asserts that recollections of parental rejection in childhood tend to result in psychological maladjustment and intimacy problems in later romantic relationships. Informed by IPARTheory, we investigated the association between maternal & paternal rejection, and fear of intimacy by the mediating role of psychological maladjustment in a Turkish sample with 462 mostly young adults. We further explored the moderator role of gender in Model 1 and the moderating roles of both gender and intimate partner rejection in Model 2. Model 1 revealed that adults who had experienced maternal and paternal rejection in childhood tended to be psychologically maladjusted. Consequently, they also tended to have a fear of intimacy, regardless of gender. Model 2 revealed that women who recall having been rejected in childhood by their mothers tended to be psychologically maladjusted and to have a significant fear of intimacy when they also experienced moderate or more than moderate intimate-partner rejection. However, both women and men who experienced paternal rejection in childhood tended to be psychologically maladjusted and to experience a greater fear of intimacy when they perceived any degree of intimate partner rejection. Implications of the results for theory, research, and practice are discussed.
An Efficient Linear Programming Based Method for the Influence Maximization Problem in Social Networks (vol 503, Pg 589, 2019)
(Elsevier, 2020) Güney, Evren
The influence maximization problem (IMP) aims to determine the most influential individuals within a social network. In this study first we develop a binary integer program that approximates the original problem by Monte Carlo sampling. Next, to solve IMP efficiently, we propose a linear programming relaxation based method with a provable worst case bound that converges to the current state-of-the-art 1-1/e bound asymptotically. Experimental analysis indicate that the new method is superior to the state-of-the-art in terms of solution quality and this is one of the few studies that provides approximate optimal solutions for certain real life social networks.