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Investigation of Depth Perception Through Gaming
No full textIn this study, we investigate how depth cues and immersive 3-dimensional (3D) video content characteristics can activate mirror neuron activities and improve depth perception experience while playing a very well-known game (i.e., Tower of Hanoi). For these investigations, subjective tests are carried out by employing an auto-stereoscopic display, with content developed in Unity to replicate realistic environments and facilitate dynamic interactions, exemplified by the Tower of Hanoi game. Subjects are exposed to atmospheric perspective depth cue and 3D video content characteristics, including different viewing angles (i.e., 0 degrees, 45 degrees, and 60 degrees) of the objects placed in the game. The findings indicate that enabling the atmospheric perspective depth cue and different viewing angles considerably enhanced depth perception and task performance, resulting in smoother and more immersive user experiences. We believe that significant insights from this investigation will provide the advance of future robotics, Human-Computer Interaction (HCI), 3D video processing, and game technologies that aim to leverage mirror neuron activation to improve cognitive and motor skills in intricate tasks.Scientific and Technological Research Council of Turkey (TUBITAK) [122E015]; TUBITAKThis study was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) under Grant Number 122E015. The authors thank TUBITAK for their support
Enhancing Dynamic Malware Behavior Analysis Through Novel Windows Events With Machine Learning
No full textMalware analysis involves studying harmful software to understand its behavior and find ways to detect and prevent it. As cyberattacks become more advanced, this process becomes increasingly important for safeguarding systems and data. Traditional methods in malware analysis often rely on examining the code itself, which can miss malicious actions that only occur during execution. This study addresses this limitation by combining the dynamic observation of malware behavior with an innovative use of Windows Event Logs as input, a detailed system data source. During the study, a secure environment was created to safely execute malware, collect input, and provide valuable information on how malicious software interacts with systems. New methods were developed to extract meaningful information from the logs, then used to train machine-learning models capable of accurately distinguishing malware from legitimate programs. By demonstrating the untapped potential of Windows Event Logs, this study offers new tools to improve real-time malware detection and enhance cybersecurity. On a dataset of approximate 7000 Windows executable file, roughly sixty percent benign and forty percent malware, the log-feature MLP reached 91.2 % accuracy with a 1.6-point standard deviation across five folds, achieved a ROC-AUC of 0.962 +/- 0.009 on an unseen hold out set
Designing for Well-Being in Pediatric Patients Scheduled for Surgery
No full textObjectives: Children scheduled for surgery and anesthesia often experience fear and anxiety before the procedure, as well as pain afterward. While medical treatments are essential for managing these challenges, design strategies that positively influence environmental and psychological factors can significantly improve children's experiences and their overall subjective well-being. This narrative literature review examines “design for well-being” strategies that support the subjective well-being of children undergoing surgical procedures. Background: According to the World Health Organization, health is defined not merely as the absence of disease but as a state of complete physical and mental well-being. Achieving such well-being requires not only medical care but also the optimization of environmental and psychological conditions that impact emotional states. Today, evidence-based, multidisciplinary approaches are recommended to promote well-being. In health-related design, one focus is on improving the quality of medical care, while another addresses non-medical factors that influence subjective well-being. Methods: This research employs a non-systematic literature review methodology, utilizing existing literature and evidence-based approaches to synthesize relevant strategies. Results: Enhancing subjective well-being—through evidence-based design strategies such as age-appropriate environmental modifications, sensory-friendly elements, and interactive distraction tools—alongside optimized medical practices in pediatric surgeries contributes to improved clinical outcomes and reduced perioperative stress. The review highlights “design for well-being” strategies, which effectively support the subjective well-being of children undergoing surgical procedures. Conclusions: Emphasizing “design for well-being” strategies is crucial for enhancing the overall experiences and well-being of children undergoing surgery. Future research should focus on the implementation and long-term impact of these design interventions to further validate their effectiveness and scalability. © 2025 Elsevier B.V., All rights reserved
From Natural Language to Insights: A Scalable Architecture for Query Transformation and Result Summarization
No full textBrowsy; CIS Arge; PTT TeknolojiWith the rise of big data, there is a growing need for systems that allow users to query large datasets using natural language. This paper introduces a scalable, three-stage architecture that translates user queries into structured searches and delivers concise, meaningful results. The pipeline includes: (i) converting natural language input into structured queries via prompt engineering; (ii) executing these queries on OpenSearch over a large news dataset; and (iii) grouping the most relevant results and then summarizing them using transformer-based NLP models. Although built on OpenSearch, the architecture is compatible with other database platforms such as PostgreSQL, MongoDB, Elasticsearch, and Apache Druid. This design improves usability by making information retrieval more natural, accurate, and scalable. All associated code, dataset references, prompts, and demonstration materials are available at: nl2insights.github.io © 2025 Elsevier B.V., All rights reserved
Vulnerability Based Prioritization in Disaster Planning Efforts: Benefits and Trade-Offs
No full textHumanitarian logistics literature commonly uses Equity, Efficiency, and Effectiveness (3E) objectives. The equity objective strives to minimize differences among individual treatments by assuming that everyone is equally affected by a disaster. Efficiency measures aim to reduce the costs of aid programs, while effectiveness focuses on the quality of humanitarian aid, measured by factors such as response time or human suffering. The inherent assumption of 3E objectives is the homogeneity of the beneficiaries. However, it is essential to acknowledge that disasters disproportionately affect socioeconomically disadvantaged individuals. Vulnerable groups, including the low-income or marginalized, encounter unique challenges during disasters. Any measure assuming homogeneous demand will overlook the intersectionalities experienced by vulnerable communities. This paper introduces an alternative measure prioritizing vulnerable populations in disaster planning, aiming for a more inclusive and compassionate disaster management strategy. To compare the performance of this approach against the traditional 3E measures and analyze the associated trade-offs, we used the emergency assembly point allocation problem as a test case. We conduct computational analyses in synthetic and real-life instances using Istanbul's neighborhood-level vulnerability and population. Our results demonstrate that vulnerability-based prioritization can achieve more inclusive results for vulnerable populations without significantly deteriorating 3E objectives and non-vulnerable population outcomes.NSERC DiscoveryThe authors thank the special issue editors and anonymous referees for their constructive feedback that enhanced the paper
Decoding the Potential Impact of Plasma hsa-miR and hsa-miR D-3p Expression, Plasma IFN-Γ Levels, and IFNG rs2069727 T/C Genetic Variant on Multiple Sclerosis Risk and Glatiramer Acetate Treatment
No full textMultiple sclerosis (MS) is an autoimmune neurodegenerative disorder, with relapsing-remitting MS (RRMS) being the most common subtype. Interferon-gamma (IFN-gamma) plays a dual role in MS pathogenesis. MicroRNAs (miRNAs) have emerged as potential diagnostic biomarkers. This study examined the effect of relative expression of hsa-miR-24-3p and hsa-miR-181d-3p, plasma IFN-gamma levels, and the IFNG rs2069727 T/C variant on MS risk, evaluating their interrelationships and diagnostic potential. This case-control study comprised two overlapping groups-a genetic polymorphism group (330 RRMS, 330 healthy controls (HCs)) and a miRNA group (25 glatiramer acetate (GA)-treated RRMS patients, 25 treatment-na ; iuml;ve RRMS patients, and 25 HCs)- collected at the Ankara Bilkent City Hospital Neurology Polyclinic. The IFNG rs2069727 T/C variant did not display a statistically significant disparity between RRMS patients and HCs. Significantly elevated hsa-miR-24-3p and hsa-miR-181d-3p relative expression levels were observed in GA-treated and treatment-na ; iuml;ve RRMS patients compared to HCs. Conversely, age-adjusted plasma IFN-gamma concentrations were markedly lower in GA-treated and treatment-na ; iuml;ve RRMS patients versus HCs. Individuals with low plasma IFN-gamma levels (= 1.311 pg/mL) demonstrated significantly elevated hsa-miR-24-3p relative expression compared to the high IFN-gamma group (> 1.311 pg/mL). Conversely, subjects with low hsa-miR-181d-3p levels (= 2.90) exhibited significantly higher plasma IFN-gamma concentrations relative to those with high hsa-miR-181d-3p levels (> 2.90). In the GA-treated group, EDSS negatively correlated with age-adjusted plasma IFN-gamma. This study identified age-adjusted plasma IFN-gamma, hsa-miR-24-3p, and hsa-miR-181d-3p expression as potential blood-based biomarkers for RRMS diagnosis and analyzed them alongside disability scores. The miRNAs in this study can be further evaluated as prospective therapeutic targets.Turkiye Bilimsel ve Teknolojik Arastirma Kurumu [121S345] TUBITAKThe authors thank the subjects for their participation in this study. This study was supported by TUBITAK (121S345)
A Preliminary Study on the Role of Personal History of Infectious and Parasitic Diseases on Self-Reported Health Across Countries
No full textPrazeres, Filipe/0000-0002-2849-5194; Landa-Blanco, Miguel/0000-0002-7865-7593; Mesko, Norbert/0000-0002-4355-9563; Varella, Marco/0000-0002-7274-7360; Lacko, David/0000-0002-2904-8118; Chubinidze, Dimitri/0000-0003-3253-8991; Lidborg, Linda H/0000-0001-9667-9326; Aguilar, Leonardo/0000-0001-9516-0557; Volkodav, Tatiana/0000-0003-3129-3638;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.Foundation for Polish Science (FNP) START scholarshipThis research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. Marta Kowal was supported by the Foundation for Polish Science (FNP) START scholarship
Price Stickiness in a Dual-Channel Supply Chain
No full textIn this paper, we investigate price stickiness in a dual-channel supply chain where a manufacturer sells its product directly through an online retailer and indirectly through an offline retailer. We construct a noncooperative game where the manufacturer and the offline retailer decide whether or not to costlessly adjust their prices after a demand shock. If the demand shock is positive, then no price can be sticky at the unique Nash equilibrium. If the demand shock is negative, then we additionally observe equilibria where some or all prices can be sticky. We also show that no equilibrium is always Pareto optimal
Observation of Vvz Production at √s=13 TeV with the ATLAS Detector
No full textBeau, Tristan/0000-0002-2022-2140; Barton, Adam/0000-0001-9696-9497; Pleier, Marc-Andre/0000-0002-9461-3494; Bahmani, Marzieh/0000-0003-4173-0926; Gwilliam, Carl/0000-0002-9401-5304; Carmignani, Joseph (Joe)/0000-0002-1705-1061; Martinez-Agullo, Pablo/0000-0001-8925-9518; Juzek, Monika/0000-0002-7269-9194; Islam, Wasikul/0000-0002-5624-5934; Koch, Simon Florian/0000-0002-2676-2842; Bouhova-Thacker, Evelina/0000-0002-5103-1558; Di Luca, Andrea/0000-0002-9074-2133; Lacasta, Carlos/0000-0002-2623-6252; Rompotis, Nikolaos/0000-0003-2577-1875; Mclean, Christine/0000-0002-7450-4805; Kontaxakis, Pantelis/0000-0002-4860-5979; Stark, Giordon/0000-0001-6616-3433; Hoppesch, Matthew/0000-0002-7773-3654; Meng, Lingxin/0000-0002-2901-6589; Wharton, Andrew/0000-0002-9507-1869; Worm, Steven/0000-0002-3865-4996; Fox, Harald/0000-0003-3089-6090; Kretzschmar, Jan/0000-0002-8515-1355; Jones, Roger/0000-0002-6427-3513; Berta, Peter/0000-0003-0780-0345; Beck, Hans Peter/0000-0001-7212-1096; Haley, Joseph/0000-0002-6938-7405; Longo, Riccardo/0000-0003-3984-6452; Cristoforetti, Marco/0000-0002-0127-1342; Borissov, Guennadi/0000-0002-4226-9521; Novak, Tadej/0000-0002-3053-0913; Hagan, Alina Isobel/0000-0002-2079-4739; Mcelhinney, Luke/0000-0001-7646-4504; Kartvelishvili, Vakhtang/0000-0002-1957-3787;A search for the production of three massive vector bosons, VVZ (V = W, Z), in proton-proton collisions at root s = 13 TeV is performed using data with an integrated luminosity of 140 fb(-1) recorded by the ATLAS detector at the Large Hadron Collider. Events produced in the leptonic final states. WWZ -> lvlvll (l = e, mu),WZZ -> lvllll, ZZZ -> llllll, and the semileptonic final states. WWZ -> qqlvll and WZZ -> lvqqll, are analysed. The measured cross section for the process is 660(-90)(+93) (stat.)(-81)(+88) (syst.) fb, and the observed (expected) significance is 6.4 (4.7) standard deviations, representing the observation of VVZproduction. In addition, the measured cross section for the pp -> WWZ process is 442 +/- 94(stat.)(-52)(+60)(syst.) fb, and the observed (expected) significance is 4.4 (3.6) standard deviations, representing evidence of WWZ production. The measured cross sections are consistent with the Standard Model predictions. Constraints on physics beyond the Standard Model are also derived in the effective field theory framework by setting limits on Wilson coefficients for dimension-8 operators describing anomalous quartic gauge boson couplings.ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW; FWF, Austria; ANAS; CNPq; FAPESP, Brazil; NSERC; CFI, Canada; NSFC, China; MEYS CR, Czech Republic; DNRF; DNSRC, Denmark; IN2P3-CNRS; CEA-DRF/IRFU, France; BMBF; MPG, Germany; RGC and Hong Kong SAR, China; ICHEP; Academy of Sciences and Humanities, Israel; INFN, Italy; MEXT; JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW, Poland; FCT, Portugal; MNE/IFA, Romania; MSSR, Slovakia; MI-CIU/AEI, Spain; Wallenberg Foundation, Sweden; SNSF and Cantons of Bern and Geneva, Switzerland; NSTC, Taipei; STFC/UKRI, United Kingdom; DOE; NSF, United States of America; BCKDF; CANARIE; CRC; DRAC, Canada; FORTE [CZ.02.01.01/00/22_008/0004632]; PRIMUS, Czech Republic; ERC [101116429, MUCCA -CHIST-ERA-19-XAI00]; ERDF; Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex; ANR, France; DFG [CR 312/5-2]; AvH Foundation, Germany; EU-ESF; Greek NSRF, Greece; BSF-NSF; NCN; La Caixa Banking Foundation; CERCA Programme Generalitat de Catalunya; PROMETEO; Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society [NIF-R1231091]; Leverhulme Trust, United Kingdom; Armenia: Yerevan Physics Institute (FAPERJ); CERN: European Organization for Nuclear Research; Chile: Agencia Nacional de Investigacion y Desarrollo (FONDECYT) [1230812]; FONDECYT [1240864]; China: Chinese Ministry of Science and Technology [MOST-2023YFA1605700, MOST-2023YFA1609300]; National Natural Science Foundation of China [NSFC -12175119, NSFC 12275265, NSFC-12075060]; Czech Republic: Czech Science Foundation; Ministry of Education Youth and Sports [ERC-CZ-LL2327]; PRIMUS Research Programme [PRIMUS/21/SCI/017]; EU [ERC -101002463]; European Union: European Research Council [ERC -948254, 101089007]; European Union [FAIR-NextGenerationEU PE00000013]; France: Agence Nationale de la Recherche [ANR-20-CE310013, ANR-21-CE31-0013, ANR-21-CE31-0022]; Germany: Baden-Wurttemberg Stiftung; Deutsche Forschungsgemeinschaft [DFG -469666862]; Ministero dell'Universita e della Ricerca [PRIN20223N7F8K M4C2.1.1]; Japan Society for the Promotion of Science (JSPS KAKENHI) [JP22H01227, JP22H04944, JP22KK0227, RCN-314472]; Polish National Agency for Academic Exchange [PPN/PPO/2020/1/00002/U/00001]; Polish National Science Centre (NCN) [2021/42/E/ST2/00350]; NCN OPUS [2022/47/B/ST2/03059, UMO2020/37/B/ST2/01043, UMO-2021/40/C/ST2/00187, UMO-2022/47/O/ST2/00148, UMO-2023/49/B/ST2/04085, UMO-2023/51/B/ST2/00920]; Generalitat Valenciana; FEDER [IDIFEDER/2018/048, NextGenEU PCI2022-1350182]; MICIN FEDER [PID2021-125273NB, RYC2019-028510-I, RYC2020-030254I, RYC2021-031273-I]; Swedish Research Council (Swedish Research Council) [2023-04654, VR 201800482, VR 2021-03651, VR 2022-03845, VR 2022-04683, VR 202303403]; Knut and Alice Wallenberg Foundation [KAW 2018.0458, KAW 2019.0447, SNSF -PCEFP2_194658]; United Kingdom: Leverhulme Trust (Leverhulme Trust) [RPG-2020-004]; United States of AmericaWe gratefully acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; Minciencias, Colombia; MEYS CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF and MPG, Germany; GSRI, Greece; RGC and Hong Kong SAR, China; ICHEP and Academy of Sciences and Humanities, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW, Poland; FCT, Portugal; MNE/IFA, Romania; MSTDI, Serbia; MSSR, Slovakia; ARIS and MVZI, Slovenia; DSI/NRF, South Africa; MI-CIU/AEI, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; NSTC, Taipei; TENMAK, Turkiye; STFC/UKRI, United Kingdom; DOE and NSF, United States of America. Individual groups and members have received support from BCKDF, CANARIE, CRC and DRAC, Canada; CERN-CZ, FORTE and PRIMUS, Czech Republic; COST, ERC, ERDF, Horizon 2020, ICSC-NextGenerationEU and Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes cofinanced by EU-ESF and the Greek NSRF, Greece; BSF-NSF and MINERVA, Israel; NCN and NAWA, Poland; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, United Kingdom. In addition, individual members wish to acknowledge support from Armenia: Yerevan Physics Institute (FAPERJ); CERN: European Organization for Nuclear Research (CERN DOCT); Chile: Agencia Nacional de Investigacion y Desarrollo (FONDECYT 1230812, FONDECYT 1230987, FONDECYT 1240864); China: Chinese Ministry of Science and Technology (MOST-2023YFA1605700, MOST-2023YFA1609300), National Natural Science Foundation of China (NSFC -12175119, NSFC 12275265, NSFC-12075060); Czech Republic: Czech Science Foundation (GACR -24-11373S), Ministry of Education Youth and Sports (ERC-CZ-LL2327, FORTE CZ.02.01.01/00/22_008/0004632), PRIMUS Research Programme (PRIMUS/21/SCI/017); EU: H2020 European Research Council (ERC -101002463); European Union: European Research Council (ERC -948254, ERC 101089007, ERC, BARD, 101116429), Horizon 2020 Framework Programme (MUCCA -CHIST-ERA-19-XAI00), European Union, Future Artificial Intelligence Research (FAIR-NextGenerationEU PE00000013), Italian Center for High Performance Computing, Big Data and Quantum Computing (ICSC, NextGenerationEU); France: Agence Nationale de la Recherche (ANR-20-CE310013, ANR-21-CE31-0013, ANR-21-CE31-0022, ANR-22-EDIR-0002); Germany: Baden-Wurttemberg Stiftung (BW Stiftung-Postdoc Eliteprogramme), Deutsche Forschungsgemeinschaft (DFG -469666862, DFG CR 312/5-2); Italy: Istituto Nazionale di Fisica Nucleare (ICSC, NextGenerationEU), Ministero dell'Universita e della Ricerca (NextGenEU PRIN20223N7F8K M4C2.1.1); Japan: Japan Society for the Promotion of Science (JSPS KAKENHI JP22H01227, JSPS KAKENHI JP22H04944, JSPS KAKENHI JP22KK0227, JSPS KAKENHI JP23KK0245); Norway: Research Council of Norway (RCN-314472); Poland: Ministry of Science and Higher Education (IDUB AGH, POB8, D4 no 9722), Polish National Agency for Academic Exchange (PPN/PPO/2020/1/00002/U/00001), Polish National Science Centre (NCN 2021/42/E/ST2/00350, NCN OPUS 2023/51/B/ST2/02507, NCN OPUS nr 2022/47/B/ST2/03059, NCN UMO-2019/34/E/ST2/00393, UMO2020/37/B/ST2/01043, UMO-2021/40/C/ST2/00187, UMO-2022/47/O/ST2/00148, UMO-2023/49/B/ST2/04085, UMO-2023/51/B/ST2/00920); Portugal: Foundation for Science and Technology (FCT); Spain: Generalitat Valenciana (Artemisa, FEDER, IDIFEDER/2018/048), Ministry of Science and Innovation (MCIN ; NextGenEU PCI2022-1350182, MICIN ; FEDER PID2021-125273NB, RYC2019-028510-I, RYC2020-030254I, RYC2021-031273-I, RYC2022-038164-I); Sweden: Carl Trygger Foundation (Carl Trygger Foundation CTS 22:2312), Swedish Research Council (Swedish Research Council 2023-04654, VR 201800482, VR 2021-03651, VR 2022-03845, VR 2022-04683, VR 202303403), Knut and Alice Wallenberg Foundation (KAW 2018.0458, KAW 2019.0447, KAW 2022.0358); Switzerland: Swiss National Science Foundation (SNSF -PCEFP2_194658); United Kingdom: Leverhulme Trust (Leverhulme Trust RPG-2020-004), Royal Society (NIF-R1231091); United States of America: U.S. Department of Energy (ECA DE-AC02-76SF00515), Neubauer Family Foundation
Terapötik Mevcudiyet Envanteri’nin Türkçe uyarlamasının geçerlik ve güvenilirlik çalışması
No full textWithin the scope of this study, the client and therapist forms of the Therapist Presence Inventory developed by Geller et al. (2010) were adapted into Turkish. For this purpose, data were collected and analyzed from clients and therapists after the sessions conducted by therapist candidates who continued their psychotherapy training. Demographic information form, the Therapist Presence Inventory client and therapist forms, and the Working Alliance Inventory-Short Form client and therapist forms were used—a total of 245 sessions' data from 35 clients and 11 therapists were collected. Exploratory factor analysis, internal consistency analysis, correlation, and regression analyses were conducted to examine the psychometric properties of the inventory. As a result of the analyses, it was decided that removing one item from the client form was appropriate. The internal consistency value of the two-item client form of the Therapist Presence Inventory was .85. The internal consistency value of the twenty-one-item therapist form was .93. Findings support the original single factor structure. Considering the internal consistency values of the inventory and its relationship with other scales and subscales, it was evaluated as a valid and reliable tool that can be used in the field of psychotherapy research and practice. © 2025, Association for Clinical Psychology Research. All rights reserved