PubMed İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12469/4466

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Solar Photovoltaic Development in West Africa Will Face Million-Ton Waste Challenges, and Off-Grid Systems Will Dominate
(2025) Dong, D.; Emem, O.; Liu, L.; Sen, B.; Rasmussen, K.; Edomah, N.; Liu, G.; 01. Kadir Has University
Solar photovoltaic (PV), especially off-grid systems, is a low-hanging fruit option among various renewable energy technology choices to address universal energy access, energy security, and climate challenges for vulnerable regions like West Africa. West Africa dominates in the uptake of solar PV solutions, while little attention has been paid to the potential PV waste generation. In this study, we developed a technology-specific, prospective material flow analysis model to investigate material stocks and flows of both on-grid and off-grid solar PV systems for 15 West African countries up to 2050. We show that the cumulative solar PV waste generation ranges from 2.3 to 7.8 million tons by 2050 in West Africa under different scenarios, around 70% of which comes from off-grid PV systems. The potential secondary materials supply ranges from 213 to 704 kilotons, which have potential economic value amounting to 143-475 million dollars or material equivalent to produce 6-19 GW of solar PV capacity. These results call for urgent policy attention, technology development, and infrastructure investment for future PV waste management and highlight the significance of addressing off-grid PV waste in Africa. This record is sourced from MEDLINE/PubMed, a database of the U.S. National Library of Medicine
Multi-Omics Profiling Uncovers LINC00486-Associated lncRNA Regulation in Human Traumatic Brain Injury
(Springer, 2025) Al-Rubaye, Tala; Isa, Zenab; Erenkol, Doga; Tarahomi, Elham; Erdogan, Nuray Sogunmez; 01. Kadir Has University
BackgroundTraumatic brain injury (TBI) induces broad molecular changes in the human brain, altering gene expression in diverse neural and glial cells. While the transcriptional effects of TBI on protein-coding genes are well characterized, the roles of long noncoding RNAs (lncRNAs), key regulators of gene expression and chromatin, remain largely unknown.ObjectiveOur objective was to identify lncRNAs altered in TBI and explore their potential regulatory functions.MethodsWe applied an integrative multi-omics approach combining single-nucleus RNA sequencing (snRNA-seq), isoform-level transcriptomics, transposable element (TE) annotation, and RNA-binding protein (RBP) interaction analyses. Public snRNA-seq datasets from cortical tissues of 12 TBI patients and 5 controls were analyzed to resolve injury-driven transcriptional signatures. We have performed differential expression analysis on 12,801 human lncRNAs, examined isoform-specific expression with TE content, and explored RBP-lncRNA interactions using CLIP-seq data.ResultsCell-type diversity decreased in TBI, and reactive and progenitor-like states were expanded. We identified 190 upregulated lncRNAs, mainly in glial cells. Among these, LINC00486 emerged as a brain-enriched lncRNA consistently increased after TBI. Isoform analysis showed its dominant brain isoform contains LINEs and LTRs, linking it to regulatory networks associated with endogenous retroelement activation. Functional enrichment connected LINC00486 to neurodevelopment, serotonin metabolism, and neuroinflammatory pathways. CLIP-seq data confirmed its interactions with stress-responsive RBPs such as AGO2 and TARDBP.ConclusionsOur multi-omics analysis identifies LINC00486 as a potential regulator of transcriptional plasticity in TBI. Its TE content and RBP interactions suggest a role in lncRNA-mediated regulatory networks during injury, highlighting possible therapeutic targets in neurotrauma.
Veterinary Ethics in Practice: Euthanasia Decision Making for Companion and Street Dogs in Istanbul
(MDPI, 2025) Yildirim, Mine; 01. Kadir Has University
This article examines how veterinarians in Istanbul experience and navigate the ethical, emotional, and institutional complexities of performing euthanasia on dogs, with particular attention to the differences between companion and street dogs. Drawing on 29 in-depth interviews with private practice veterinarians in Istanbul, this study employs qualitative analysis using the NVivo 12 Plus software and reflexive thematic analysis to identify key patterns in moral reasoning, emotional labor, and clinical decision making. The findings indicate that euthanasia of companion dogs is often framed through shared decision making with guardians, emotional preparation, and post-procedural grief rituals. While still emotionally taxing, these cases are supported by relational presence and mutual acknowledgment. In contrast, euthanasia of street dogs frequently occurs in the absence of legal ownership, institutional accountability, or consistent caregiving, leaving veterinarians to bear the full moral and emotional weight of the decision. Participants described these cases as ethically distinct, marked by relational solitude, clinical ambiguity, and heightened moral distress. Six key themes that reveal how euthanasia becomes a site of both care and conflict when structural support is lacking are identified in this study, including emotional burden, ethical strain, and resistance to routinized killing. By foregrounding the roles of institutional absence and relational asymmetry in shaping end-of-life decisions, this study contributes to empirical veterinary ethics and calls for more contextually attuned ethical frameworks, particularly in urban settings with large populations of street dogs and culturally entrenched practices of collective guardianship and caregiving.
Data-Driven Modeling of Traffic Flow in Macroscopic Network Systems
(AIP Publishing, 2025) Firat, Toprak; Eroglu, Deniz; Molecular Biology and Genetics; 05. Faculty of Engineering and Natural Sciences; 01. Kadir Has University
Urban traffic modeling is essential for understanding and mitigating congestion, yet existing approaches face a trade-off between realism and scalability. Microscopic agent-based simulators capture individual vehicle behavior but are computationally intensive and hard to calibrate at scale. Macroscopic models, while more efficient, often rely on strong assumptions, such as fixed origin-destination flows, or oversimplify network dynamics. In this work, we propose a data-driven macroscopic model that simulates traffic as a discrete-time load-exchange process over flow networks. The model captures key phenomena such as bottlenecks, spillbacks, and adaptive load redistribution using only road-type attributes, network structure, and observed traffic density. Parameter learning is performed via evolutionary optimization, allowing the model to adapt to both synthetic and real-world conditions without assuming latent travel demand. We evaluate the framework on synthetic grid-like networks and on real traffic data from London, Istanbul, and New York. The resulting framework provides a scalable and interpretable alternative for urban traffic forecasting, balancing predictive accuracy with computational efficiency across diverse network conditions.
Investigation of Novel Nimesulide Derivatives Against Breast Cancer
(Academic Press Inc., 2025) Birgül, Kaan; Atlıhan, İrem; Dere, Damla; Yelekçi, Kemal; Tiber, Pınar Mega; Orun, Oya; Küçükgüzel, Sükriye Güniz; Molecular Biology and Genetics; 05. Faculty of Engineering and Natural Sciences; 01. Kadir Has University
This study focused on the synthesis of novel nimesulide semicarbazone derivatives and the evaluation of their cytotoxic potential against luminal-A (MCF-7) and triple-negative (MDA-MB-231) breast cancer cell lines. Additionally, their effects on mitochondrial membrane potential (MMP), apoptosis, and mitogen-activated protein kinase (MAPK) pathway modulation were investigated. Breast cancer remains the most prevalent malignancy among women, with luminal-A and triple-negative subtypes posing significant therapeutic challenges due to drug resistance and the lack of effective targeted treatments. The MAPK pathway plays a crucial role in breast cancer progression, making its inhibition a promising therapeutic approach. Non-steroidal anti-inflammatory drugs (NSAIDs), particularly nimesulide, have demonstrated anticancer potential beyond their well-established anti-inflammatory properties. Accordingly, the semicarbazone moiety was incorporated into the molecular scaffold to enhance the antiproliferative efficacy of nimesulide derivatives, as it has been reported to exhibit cytotoxic and apoptosis-inducing effects across various cancer cell lines. A series of nimesulide semicarbazone derivatives (5a–m) were synthesized through multi-step reactions and characterized using elemental analysis, FT-IR, 1H NMR, 13C NMR and Mass spectroscopy (5e). In silico studies were performed to predict their binding affinities to MAPK12. The cytotoxic effects of the synthesized compounds were assessed by determining IC50 values in MCF-7 and MDA-MB-231 cell lines (CCK8 test). Compounds exhibiting strong cytotoxic activity were further examined for their impact on MMP depolarization (JC-1 assay), apoptosis induction (Annexin V-FITC/PI staining), and MAPK pathway modulation (Western blotting of p-ERK and ERK protein). Molecular docking results indicated that the synthesized compounds exhibited favorable interactions with MAPK12, with compound 5e showing one of the highest binding affinity (−9.29 kcal/mol, Ki = 0.154 μM). Cytotoxicity assays revealed that compound 5e had the lowest IC50 values (11.77 ± 0.26 μM in MCF-7; 20.72 ± 0.25 μM in MDA-MB-231), demonstrating significantly higher cytotoxicity than nimesulide. JC-1 assays confirmed that compound 5e induced MMP depolarization at higher concentrations, suggesting apoptosis activation. Flow cytometry analysis further validated a substantial increase in apoptotic cell populations following treatment with compound 5e. Western blot results showed a dose-dependent decrease in p-ERK levels in both MCF-7 and MDA-MB-231 cells, confirming MAPK pathway inhibition. These findings support that nimesulide-based semicarbazones, particularly compound 5e, exhibit potent antiproliferative and pro-apoptotic activity via MAPK pathway modulation, offering a promising avenue for the development of targeted breast cancer therapies. © 2025 Elsevier B.V., All rights reserved.
Diversity as a Core Feature of Language Acquisition: A Commentary on Scaff et al. (2025)
(Wiley, 2025) Goksun, Tilbe; Aktan-Erciyes, Asli; 01. Kadir Has University; Psychology; 03. Faculty of Economics, Administrative and Social Sciences
This commentary builds on Scaff et al.'s (2025) systematic review of the CHILDES database, highlighting persistent biases in child language corpora and research. We expand the discussion, emphasizing three key areas: (1) the need to diversify naturalistic data across languages to strengthen language acquisition theories; (2) the importance of including diverse child and parent demographics within specific language environments; and (3) the underrepresentation of bilingual samples from non-WEIRD, non-Indo-European contexts. We argue that these limitations not only hinder generalizability but also shape prevalent theoretical assumptions. Promoting inclusive, globally representative corpora is important for advancing a fair and accurate understanding of child language acquisition.
Citation - Scopus: 2
Leveraging Explainable Artificial Intelligence for Transparent and Trustworthy Cancer Detection Systems
(Elsevier, 2025) Toumaj, Shiva; Heidari, Arash; Navimipour, Nima Jafari; Computer Engineering; 05. Faculty of Engineering and Natural Sciences; 01. Kadir Has University
Timely detection of cancer is essential for enhancing patient outcomes. Artificial Intelligence (AI), especially Deep Learning (DL), demonstrates significant potential in cancer diagnostics; however, its opaque nature presents notable concerns. Explainable AI (XAI) mitigates these issues by improving transparency and interpretability. This study provides a systematic review of recent applications of XAI in cancer detection, categorizing the techniques according to cancer type, including breast, skin, lung, colorectal, brain, and others. It emphasizes interpretability methods, dataset utilization, simulation environments, and security considerations. The results indicate that Convolutional Neural Networks (CNNs) account for 31 % of model usage, SHAP is the predominant interpretability framework at 44.4 %, and Python is the leading programming language at 32.1 %. Only 7.4 % of studies address security issues. This study identifies significant challenges and gaps, guiding future research in trustworthy and interpretable AI within oncology.
Multiplicity of Algebraic Order From Fixed Lines of Potential Surfaces: X-Y-Ashkin in Spatial Dimension D=2
(Amer Physical Soc, 2025) Artun, E.C.; Berker, A.N.; 01. Kadir Has University
A position-space renormalization-group study is done for the Ashkin-Tellerized XY model, as an exact solution on the d=2 hierarchical lattice and an approximate solution on the square lattice. A multiplicity of algebraic order is found in the phase diagram, in the form of renormalization-group fixed lines composed of a continuous sequence of interaction potential surfaces. In the Ashkin-Tellerized XY model, each site has two continuously varying spins, each spin being an XY spin, that is, having orientation continuously varying in 2π radians. Nearest-neighbor sites are coupled by two-spin and four-spin interactions. The phase diagram has algebraically ordered phases that are ferromagnetic and antiferromagnetic in each of the spins, and algebraically ordered phases that are ferromagnetic and antiferromagnetic in the combined spin variable. These phases are subtended by fixed lines of potential surfaces that are multiplicatively different Berezinskii-Kosterlitz-Thouless fixed potentials. The evolution of continuously varying criticality is traced within each of the four phases. The renormalization-group flows, the fixed lines, and the interaction surfaces are in terms of the doubly composite Fourier coefficients of the exponentiated energy of the four nearest-neighbor spins. The disordered phase is maintained along two semi-infinite a priori quasi-disorder lines. This record is sourced from MEDLINE/PubMed, a database of the U.S. National Library of Medicine
A Multilab Investigation into the N2pc as an Indicator of Attentional Selectivity: Direct Replication of Eimer (1996)
(Elsevier Masson, Corp. Off., 2025) Constant, Martin; Mandal, Ananya; Asanowicz, Dariusz; Panek, Bartlomiej; Kotlewska, Ilona; Yamaguchi, Motonori; Liesefeld, Heinrich R.; 01. Kadir Has University
The N2pc is widely employed as an electrophysiological marker of an attention allocation. This interpretation was largely driven by the observation of an N2pc elicited by an isolated relevant target object, which was reported as Experiment 2 in Eimer (1996). All subsequent refined interpretations of the N2pc had to take this crucial finding into account. Despite its central role for neurocognitive attention research, there have been no direct replications and only few conceptual replications of this seminal work. Within the context of #EEGManyLabs, an international community-driven effort to replicate the most influential EEG studies ever published, the present study was selected due to its strong impact on the study of selective attention. We revisit the idea of the N2pc being an indicator of attentional selectivity by delivering a high powered direct replication of Eimer's work through analysis of 779 datasets acquired from 22 labs across 14 countries. Our results robustly replicate the N2pc to form stimuli, but a direct replication of the N2pc to color stimuli technically failed. We believe that this pattern not only sheds further light on the functional significance of the N2pc as an electrophysiological marker of attentional selectivity, but also highlights a methodological problem with selecting analysis windows a priori. By contrast, the consistency of observed ERP patterns across labs and analysis pipelines is stunning, and this consistency is preserved even in datasets that were rejected for (ocular) artifacts, attesting to the robustness of the ERP technique and the feasibility of large-scale multilab EEG (replication) studies. (c) 2025 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Data from SymSPAN and OSPAN Working Memory Capacity Tasks in Online and Laboratory Settings
(Elsevier, 2025) Wereszczynski, Michal; Chwilka, Paulina; Smolka, Ewa; Ilczuk, Ewa; Oner, Sezin; Barzykowski, Krystian; Psychology; 03. Faculty of Economics, Administrative and Social Sciences; 01. Kadir Has University
The present dataset comprises the performance of adult participants on two experimental tasks designed to measure working memory capacity: the Symmetry Span (SymSPAN) and Operation Span (OSPAN) tasks. Initially, a large sample of 566 participants completed these tasks online. From this pool, a random subset of individuals representing low, medium, and high levels of working memory capacity were invited to participate in two laboratory sessions. In these sessions, spaced one week apart, participants completed the same tasks again. The dataset includes complete performance data from both tasks, along with demographic information such as participants' age and gender. This relatively large dataset offers valuable opportunities for exploratory research on working memory capacity, including analyses of its relative stability, variations over time and across testing environments, individual differences, and contributions to meta-analyses. (c) 2025 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Perseverative Effort and Grit But Not Gratitude Are Protective Against the Onset of Anxiety for Cognitively At-Risk Individuals
(Routledge Journals, Taylor & Francis LTD, 2025) Riskind, John H.; Altan-Atalay, Ayse; Sison, Jacqueline; Kleiman, Evan; 01. Kadir Has University; Psychology; 03. Faculty of Economics, Administrative and Social Sciences
Grit and gratitude protect against depression caused by cognitive vulnerability factors like hopelessness and rumination. This study examined whether these personality strengths could buffer against a cognitive vulnerability for anxiety, the looming cognitive style (LCS). A prospective design was used with university students (N = 247; 86.2% female; aged between 18 and 60) completing online questionnaires two times 6 weeks apart that assessed LCS, grit, gratitude, and anxiety and depression. Path analyses revealed that LCS had a significant main effect and a theoretically expected interaction effect on anxiety symptoms with "grit perseverance but not with "grit consistency" or gratitude. Neither LCS, grit perseverance nor gratitude had any effects on depression symptoms, although an effect emerged for grit consistency. This study is the first to our knowledge to examine how personality strengths protect individuals against a cognitive vulnerability that is more specific to anxiety symptomatology than to depression. Along with other studies, the findings further suggest that a crucial way grit and personality strengths provide benefit is by protecting against cognitive vulnerabilities.
Differential Modulation of Low- and High-Frequency Mu Oscillations During the Observation of Manual, Facial, and Non-Biological Movements
(Nature Portfolio, 2025) Badakul, Ayse Nur; Soyman, Efe; Psychology; 03. Faculty of Economics, Administrative and Social Sciences; 01. Kadir Has University
Mu suppression - desynchronization of neural oscillations in central EEG electrodes during action execution and observation - has been widely accepted as a marker for neural mirroring. It has been conventionally and predominantly quantified in the 8-13 Hz range, corresponding to the alpha frequency band, although few studies reported differences in lower and higher subbands that together constitute the mu frequency band. In the present study, we adopted a comprehensive analytical approach to examine the spectral and temporal dynamics of mu suppression when participants watched videos depicting hand and face actions and artificial pattern movements. Our analyses in central EEG electrodes revealed that neural oscillations were significantly suppressed during action observation only in the lower (8-10.5 Hz), not in the higher (10.5-13 Hz), subband. No such subband differentiation was observed for the alpha oscillations in the occipital electrodes. In addition, in the lower subband, significantly stronger suppressions were selective for hand actions in the central EEG electrodes placed over the hand region of the sensorimotor cortices and for facial actions in the frontotemporal electrodes placed over the face region of the sensorimotor cortices. In the higher subband, such stimulus selectivity was only observed for facial actions in the frontotemporal electrodes. Furthermore, the neural oscillations in the lower, but not the higher, subband followed the precise temporal patterning of biological motion in the videos. These results indicate that neural oscillations in the lower subband show the characteristics of neural mirroring processes, whereas those in the higher subband might reflect other mechanisms.
Haptic Relocation Away From the Fingertip: Where, Why, and How
(IEEE Computer Soc, 2025) Sarac, Mine; Mechatronics Engineering; 05. Faculty of Engineering and Natural Sciences; 01. Kadir Has University
Tactile haptic devices are often designed to render meaningful, complex, and realistic touch-based information on users' skin. While fingertips and hands are the most preferred body locations to render haptic feedback, recent trends allow such feedback to be extended to alternative body locations (e.g., wrist, arm, torso, foot) for various scenarios due to reasons such as wearability and needs of the application. In this paper, I address the new concept of haptic relocation. It refers to scenarios in which the expected feedback is related to the fingertips but rendered on a different body location instead - e.g., contact forces registered by two robotic fingers during teleoperation rendered to the users' wrist instead of the fingers. I investigated the design choices of wearable haptic devices for haptic relocation concerning different body locations, targeted applications, and actuator selection. I discuss approaches and design choices from the literature by speculating on the possible reasons, and conclude the paper by highlighting some challenges and issues to be mindful of in the future. This paper will guide engineers and researchers in searching for alternative haptic rendering solutions - especially when fingers and hands are not available for haptic interaction.
Attentional Modulation of Outlier Processing
(Springer, 2025) Gokce, Ahu; Yildirim, Bugay; Boduroglu, Aysecan; Psychology; 03. Faculty of Economics, Administrative and Social Sciences; 01. Kadir Has University
Ensemble perception enables the visual system to function effectively when the number of stimuli in the environment exceeds its capacity. Ensemble representations not only help the limited capacity of visual representations, but they also facilitate the detection and representation of items deviating from the group (i.e., the outlier). This study focuses on how attentional mechanisms modulate outlier processing. In three experiments, we presented participants with an ensemble that was formed by circle stimuli in varying sizes, and the outlier item was distinct in terms of its location. We measured outlier localization performance while manipulating attentional orienting via a spatial cueing paradigm. In Experiment 1, a valid, invalid, or neutral cue was presented before or after the display. Facilitation of outlier localization was most pronounced in the valid precue condition. Experiment 2 included a task to actively engage ensemble perception in addition to outlier localization, and cue validity effect was observed as in Experiment 1. Experiment 3A was carried to directly compare the top-down and bottom-up influences on outlier processing by presenting two spatial outliers-one target and another distractor outlier. The target outlier identity was previously determined and was identical across trials. In Experiment 3B, the target was in red, making it salient among the remaining items. In the invalid trials, where the distractor outlier was cued, responses were closer to the distractor item indicating that outlier processing is cue driven. These experiments overall demonstrate that automaticity of outlier processing can be overridden by cue-driven processes.
Sparse Deconvolution of Cell Type Medleys in Spatial Transcriptomics
(Public Library Science, 2025) Erdogan, Nuray Sogunmez; Eroglu, Deniz; Molecular Biology and Genetics; 05. Faculty of Engineering and Natural Sciences; 01. Kadir Has University
Mapping cell distributions across spatial locations with whole-genome coverage is essential for understanding cellular responses and signaling However, current deconvolution models aim to estimate the proportions of distinct cell types in each spatial transcriptomics spot by integrating reference single-cell data. These models often assume strong overlap between the reference and spatial datasets, neglecting biology-grounded constraints such as sparsity and cell-type variations, as well as technical sparsity. As a result, these methods rely on over-permissive algorithms that ignore given constraints leading to inaccurate predictions, particularly in heterogeneous or unmatched datasets. We introduce Weight-Induced Sparse Regression (WISpR), a machine learning algorithm that integrates spot-specific hyperparameters and sparsity-driven modeling. Unlike conventional approaches that neglect biology-grounded constraints, WISpR accurately predicts cell-type distributions while preserving biological coherence, i.e., spatially and functionally consistent cell-type localization, even in unmatched datasets. Benchmarking against five alternative methods across ten datasets, WISpR consistently outperformed competitors and predicted cellular landscapes in both normal and cancerous tissues. By leveraging sparse cell-type arrangements, WISpR provides biologically informed, high-resolution cellular maps. Its ability to decode tissue organization in both healthy and diseased states highlights WISpR's practical utility for spatial transcriptomics, particularly in challenging settings involving noise, sparsity, or reference mismatches.
Citation - WoS: 2
Citation - Scopus: 2
Biocontrol Potential of Vibrio Maritimus Chitinase: Heterologous Expression and Insecticidal Activity Against Acanthoscelides Obtectus
(Elsevier, 2025) Dikbas, Neslihan; Tulek, Ahmet; Ucar, Sevda; Alim, Seyma; Servili, Burak; Pacal, Nurettin; Ercisli, Sezai; Core Program; 07. Core Program; 01. Kadir Has University
In this study, the chitinase gene from the marine bacterium Vibrio maritimus was heterologously expressed in Escherichia coli, purified via affinity chromatography and tested for its insecticidal activity against the storage pest Acanthoscelides obtectus. The recombinant VmChiA protein exhibited a molecular mass of similar to 60 kDa, with optimum activity observed at pH 6.0 and 40 degrees C. Enzyme kinetic analysis revealed a K-m value of 0.042 mM, V-max of 17.48 mu mol min(-1), k(cat) of 1.75 min(-1) and catalytic efficiency of 41.61 mM(-1) min(-1), respectively. Furthermore, a dose of 40 U mL(-1) of recombinant VmChiA showed similar efficacy to malathion insecticide against A. obtectus, with 100 % mortality in both treatments. LC50 and LC90 values of VmChiA were 13.95 U mL(-1) and 27.66 U mL(-1), respectively. Furthermore, the three-dimensional structure of the catalytic site of VmChiA was modeled. Molecular dynamics simulation technique was used to explore and analyze the dynamics and interactions. A salt bridge (GLU274-ARG296) in the alpha + beta domain was observed as a critical feature facilitating substrate (GlcNAc)(2) binding and enzymatic activity. These findings demonstrate that recombinant VmChiA possesses potent insecticidal properties, highlighting its potential as a bio-based, eco-friendly alternative for managing significant agricultural pests.
Citation - WoS: 1
Citation - Scopus: 1
The Associations Between Deviation From the Balanced Time Perspective and Depression and Anxiety: The Moderator Role of Mindfulness in a Two-Wave Study
(Sage Publications inc, 2025) Altan-Atalay, Ayse; Ranjbar, Hamed Abdollahpour; Altintas, Seda; 01. Kadir Has University; Psychology; 03. Faculty of Economics, Administrative and Social Sciences
Deviation from the balanced time perspective (DBTP) refers to difficulties in switching between different time frames in a flexible way by considering the situational demands. DBTP is associated with higher levels of depression and anxiety. Mindfulness acts as a protective mechanism against depression and anxiety. The current study examined the moderator role of mindfulness in the relationship between DBTP and psychological distress. The participants were 243 university students (53.09% women) between ages 18 and 29 (M = 19.88, SD = 1.42) who answered self-report measures of time perspective, mindfulness, anxiety, and depression at two-time points with a five-week time interval. The results showed that the interaction between DBTP and mindfulness measured at time one could prospectively predict both anxiety and depression measured at time two. Mindfulness plays a significant moderating role in the relationship between DBTP and anxiety and depression. The data indicate that for individuals with low levels of DBTP, those with higher mindfulness experience significantly lower anxiety and depression compared to those with lower mindfulness. However, as DBTP increases, anxiety and depression levels in the high mindfulness group rise significantly, ultimately converging with those observed in the low mindfulness group. This indicates that while high mindfulness offers buffering effects against anxiety and depression, these effects diminish under increased DBTP.
Impact of Culture Shock, Acculturation Approaches, and Sociocultural Adaptation on Perceived Proficiency in Turkish and English Among International Students in Turkey
(Elsevier, 2025) Tekel, Esra; Ergin-Kocaturk, Hatice; Su, Ahmet; Kocaturk, Metin; Caner, Mustafa; Karadag, Engin; 01. Kadir Has University
The primary objective of this study was to investigate the influence of culture shock, acculturation strategies, and sociocultural adjustment on the perceived Turkish and English language proficiency of international students in Turkey. Data were collected from 3554 international students in Turkey whose native language was neither Turkish nor English, using the "Culture Shock Questionnaire", "Acculturation Measurement", and "Sociocultural Adjustment Scale". Data were analyzed using correlation and hierarchical multiple regression analyses. The results revealed that the perceived Turkish and English language proficiencies of international students in Turkey were moderate. Language proficiency, personal interests, and social participation factors of sociocultural adjustment and acculturation strategies, such as assimilation and integration, have a positive impact on perceived Turkish language proficiency. On the other hand, the interpersonal stress factor of culture shock and assimilation and integration aspects of the acculturation strategies were found to be the most critical determinants of perceived English language proficiency. Additionally, language proficiency, personal interests, and social participation factors of sociocultural adjustment and acculturation strategies, such as separation and assimilation, had positive effects, whereas the language proficiency factor of sociocultural adjustment and assimilation acculturation strategies had negative effects. The findings of this study indicate that acculturation strategies and sociocultural adjustment play a crucial role in the development of perceived target language proficiency.
Design and Synthesis of Thiosemicarbazides and 1,2,4-Triazoles Derived From Ibuprofen as Potential Metap (Type II) Inhibitors
(Elsevier Ireland Ltd, 2025) Yilmaz, Ozgur; Biliz, Yagmur; Ayan, Sumeyra; Cevik, Ozge; Karahasanoglu, Mufide; Cotuker, Reyhan; Kucukguzel, S. . Guniz; 01. Kadir Has University
In the present study, a range of novel thiosemicarbazides 4a-i and 1,2,4-triazoles 5a-i derived from ibuprofen, were synthesized. Structural elucidation of these synthesized compounds was performed utilizing a variety of spectroscopic methods, including FTIR, 1H NMR, 13C NMR and HR-MS. The synthesized compounds were tested for cytotoxicity in five different cancer cell lines (cervical cancer (HeLa), human breast cancer (MCF-7), human gastric adenocarcinoma (MKN-45), human metastatic prostate cancer (PC3) and human glioblastoma (U87)). The compounds were compared with healthy cells (NIH-3T3) and the most effective compounds were determined by means of the selectivity index. Thiosemicarbazides derived form ibuprofen 4i and 4d showed anticancer activity, while 1,2,4-triazoles derived form ibuprofen 5b, 5c, 5d, 5e, 5h, 5g showed anticancer activity in HeLa, MCF-7, MKN-45, PC3 and U87 cells. To test the stability of the protein-drug complexes all 18 compounds 4a-i and 5a-i were docked into the active site of the MetAP2 enzyme In general, computational inhibition constants values were correlated with the experimental values. The dynamic behavior of MetAP2-inhibitor complexes was analyzed using all atoms Molecular Dynamic (MD) simulations for 200 ns duration. MD revealed that the drugs bind in the active center of MetAP2 with stable RMSD and RMSF. In conclusion, in-silico results and in-vitro studies suggests that thiosemicarbazides and 1,2,4-triazoles derived from ibuprofen may be novel anticancer drug candidates for treating cervical, breast, prostate, gastric and glioblastoma. Compounds provided induction of apoptotic proteins in the cell by inhibiting MetAP2 enzyme. Furthermore, the potential antioxidant activities of the compounds were evaluated using the 2,2-Diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity assay. Among the compounds tested, 4a, 4b, 4e, 4f, 4h, and 4i exhibited values closely resembling the DPPH activity of the standards.
Does Attention Sharing Support Attention Focusing? Investigating the Link Between Infants' Sustained Attention and Joint Attention With Caregivers
(Elsevier Science inc, 2025) Uzundag, Berna A.; Psychology; 03. Faculty of Economics, Administrative and Social Sciences; 01. Kadir Has University
Sustained attention in infancy is a known predictor of executive functions, self-regulation, and language. This study investigated the relationship between 9-to 16-month-old infants' sustained attention and joint attention in mother-infant dyads. Data were collected from 98 infants (M(SD) = 11.8(1.3) months) and their mothers. Results showed that joint attention during mother-infant play significantly predicted sustained attention during solo play, after accounting for infant age and socioeconomic status. These cross-sectional findings suggest that joint attention may play a role in supporting sustained attention, though the directionality of this relationship warrants further longitudinal investigation.

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