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Future circular collider feasibility study report: volume 2 accelerators, technical infrastructure and safety
(Springer Science and Business Media Deutschland GmbH, 2025-11-17) Benedikt, Michael; Zimmermann, Frank; Auchmann, Bernhard; Bayındır, Cihan; Özaydın, Fatih
In response to the 2020 Update of the European Strategy for Particle Physics, the Future Circular Collider (FCC) Feasibility Study was launched as an international collaboration hosted by CERN. This report describes the FCC integrated programme, which consists of two stages: an electron-positron collider (FCC-ee) in the first phase, serving as a high-luminosity Higgs, top, and electroweak factory; followed by a proton-proton collider (FCC-hh) at the energy frontier in the second phase. The FCC-ee is designed to operate at four key centre-of-mass energies: the Z pole, the WW pair production threshold, the ZH production peak, and the top/anti-top production threshold—each delivering the highest possible luminosities to four experiments. Over 15 years of operation, FCC-ee will produce more than 6 trillion Z bosons, 200 million WW pairs, nearly 3 million Higgs bosons, and 2 million top anti-top pairs. Precise energy calibration at the Z pole and WW threshold will be achieved through frequent resonant depolarisation of pilot bunches. The sequence of operation modes between the Z, WW, and ZH substages remains flexible. The FCC-hh will operate at a centre-of-mass energy of approximately 85 TeV—nearly an order of magnitude higher than the LHC—and is designed to deliver 5 to 10 times the integrated luminosity of the upcoming High-Luminosity LHC. Its mass reach for direct discovery extends to several tens of TeV. In addition to proton-proton collisions, the FCC-hh is capable of supporting ion-ion, ion-proton, and lepton-hadron collision modes. This second volume of the Feasibility Study Report presents the complete design of the FCC-ee collider, its operation and staging strategy, the full-energy booster and injector complex, required accelerator technologies, safety concepts, and technical infrastructure. It also includes the design of the FCC-hh hadron collider, development of high-field magnets, hadron injector options, and key technical systems for FCC-hh.
The strongman vs. the sage? Populist performances and political masculinities in the 2023 Turkish elections
(Routledge, 2026-02) Sayan Cengiz, Feyda; Demiralp, Seda
Authoritarian populist performances are deeply intertwined with particular ways of ‘doing masculinity’. Previous studies have shown that combative, aggressive, ‘rule-breaking’ performances of masculinity enabled populist opposition leaders to enact and perform anti-elite populist discourses, facilitating the mobilisation of discontent. The case of Turkey, a resilient case of authoritarian populism, demonstrates that performances of masculinity also serve incumbent populists to cast themselves as protectors of society, reinvigorate their paternalist claims to legitimacy and amplify the affective dimension of their messages. This dynamic becomes especially prominent during election campaigns, where performances of masculinity become a significant part of the contest between populist incumbents and their opponents. Focusing on Turkey’s 2023 presidential election and the campaigns of the two main contenders–incumbent President Erdoğan and opposition candidate Kılıçdaroğlu–the study argues that authoritarian populist leaders perform combative, aggressive masculinity to project competence even during economic downturns or institutional decay. In doing so, they further masculinise the political sphere, relegating rivals to subordinate positions within a symbolic hierarchy of masculinities and marginalising alternative models of leadership. The study contributes to understanding the gendered performative dimensions that play into the resilience of authoritarian populism.
Self-supervised learning of 3D structure from 2D OCT slices for retinal disease diagnosis on UK biobank scans
(Institute of Electrical and Electronics Engineers Inc., 2025-09-21) Nazlı, Muhammet Serdar; Turkan, Yasemin; Tek, Faik Boray
This study presents a self-supervised learning framework for retinal disease classification using Optical Coherence Tomography (OCT) scans. To balance the contextual richness of 3D volumes with the computational efficiency of 2D architectures, we introduce a quasi-3D input generation strategy. Each input is constructed by stacking three OCT slices, sampled from channel-specific Gaussian distributions centered on the volume midplane, and arranged in a standard three-channel 2D format compatible with existing pre-trained models. These quasi-3D images are used to pre-train a Vision Transformer (ViT-Base) via a Masked Autoencoder (MAE) with a shared masking pattern, encouraging the model to reconstruct masked regions by encoding anatomical continuity across slices. Pre-training is conducted on 10,000 unlabeled OCT volumes from the UK Biobank. The encoder is then fine-tuned on the OCTA-500 dataset for three-class and four-class retinal disease classification tasks, including macular degeneration and diabetic retinopathy. The model achieves 92.57% accuracy on the three-class task, matching the performance of RETFound while using over 150 times less pre-training data and a smaller backbone.
Retinal disease classification from bimodal OCT and OCTA using a CNN-ViT hybrid architecture
(Institute of Electrical and Electronics Engineers Inc., 2025-09-21) Aydın, Ömer Faruk; Tek, Faik Boray; Turkan, Yasemin
Retinal diseases are the leading cause of vision impairment and blindness worldwide. Early and accurate diagnosis is critical for effective treatment, and recent advances in imaging technologies such as Optical Coherence Tomography (OCT) and OCT Angiography (OCTA), have enabled detailed visualization of the retinal structure and vasculature. By leveraging these modalities, this study proposes an advanced deep learning architecture called MultiModalNet for automated multi-class retinal disease classification. MultiModalNet employs a dual-branch design, where OCTA projection maps are processed through a ResNet101 encoder, and cross-sectional slices from the OCT volume (B-scans) are analyzed using a Vision Transformer (ViT-Large). The extracted features from both branches were fused and passed through the fully connected layers for the final classification. Evaluated on the 3-class OCTA-500 dataset, which includes Age-related Macular Degeneration (AMD), Diabetic Retinopathy (DR), and Normal cases, the proposed model achieved state-of-the-art classification accuracy of 94.59 percent, significantly o utperforming single-modality baselines. This result highlights the effectiveness of integrating vascular and structural information to improve the diagnostic performance. The findings suggest that hybrid multi-modal deep learning approaches can play a transformative role in computer-aided ophthalmology, enhancing both clinical decision-making and screening workflows.
Secure and interpretable dyslexia detection using homomorphic encryption and SHAP-based explanations
(Institute of Electrical and Electronics Engineers Inc., 2025-10-25) Harb, Mhd Raja Abou; Çeliktaş, Barış; Eroğlu, Günet
Protecting sensitive healthcare data during machine learning inference is critical, particularly in cloud-based environments. This study addresses the privacy and interpretability challenges in dyslexia detection using Quantitative EEG (QEEG) data. We propose a privacy-preserving framework utilizing Homomorphic Encryption (HE) to securely perform inference with an Artificial Neural Network (ANN). Due to the incompatibility of non-linear activation functions with encrypted arithmetic, we employ a dedicated approximation strategy. To ensure model interpretability without compromising privacy, SHapley Additive exPlanations (SHAP) are computed homomorphically and decrypted client-side. Experimental evaluations demonstrate that the encrypted inference achieves an accuracy of 90.03% and an AUC of 0.8218, reflecting only minor performance degradation compared to plaintext inference. SHAP value comparisons (Spearman correlation = 0.59) validate the reliability of the encrypted explanations. These results confirm that integrating privacy-preserving and explainable AI approaches is feasible for secure, ethical, and compliant healthcare deployments.
Privacy-preserving cyber threat intelligence: a framework combining private information retrieval, federated learning, and differential privacy
(Institute of Electrical and Electronics Engineers Inc., 2025-09-21) Çamalan, Emre; Çeliktaş, Barış
Threat Intelligence Platforms (TIPs) are essential for sharing indicators of compromise (IoCs), but querying them can leak sensitive organizational data. We propose a privacy-preserving framework that combines Private Information Retrieval (PIR), Federated Learning (FL), and Differential Privacy (DP) to mitigate this risk. Our approach addresses both content-level and metadata-level privacy concerns while supporting collaborative learning across organizations. It ensures that sensitive query patterns remain hidden, local threat data never leaves organizational boundaries, and model updates are protected against inference attacks. The framework integrates with existing TIPs such as MISP and OpenCTI, requiring minimal operational changes. We implement a prototype using a simulated Abuse IP dataset and evaluate it on latency, accuracy, and communication overhead. The system supports private queries in under 300 ms and maintains over 95% model accuracy under DP noise. These results indicate that strong privacy can be achieved with minimal performance trade-offs, making the approach viable for real-world CTI environments.
Cross-layer ransomware detection framework for SDN using HMM, LSTM, and Bayesian inference
(Institute of Electrical and Electronics Engineers Inc., 2025-08-28) Serter, Cemal Emre; Çeliktaş, Barış
Ransomware continues to pose a serious threat to endpoint computers as well as network systems, especially in Software Defined Networks (SDN) environments where programmability and centralized control offer novel attack surfaces. In this paper, a cross-layer detection model for ransomware is introduced that integrates host-based behavioral modeling using Hidden Markov Models (HMM), anomaly detection at flow level using Long Short-Term Memory (LSTM) networks, and probabilistic fusion through Bayesian inference. By correlating host and SDN layer anomalies, the system enhances early-stage detection and reduces false positives. A variational Bayesian approximation technique is utilized for decision score stabilization under ambiguous conditions. The model is evaluated with new ransomware datasets and obtains a range between 97.5%-99.92% F1-score across three benchmark datasets with less than 50 ms latency for detection. The hybrid framework gives a promising direction for real-time threat detection in resilient programmable networks.
The mediating effect of self compassion in the relationship between job stress and burnout levels among employees
(SAGE Publications Inc., 2026-02-13) Günay, Ezgi; Ünver, Buket; Yılmaz, Simay
Objective: This study investigates the role of self-compassion as a mediator in the relationship between job stress and burnout among employees. While job stress is widely recognized as a critical factor leading to burnout, it has been suggested that self-compassion may be associated with a reduction in these negative effects. Method: Participants were 429 actively employed adults living in Turkey (50.6% female). The data were gathered using an online administration of standardized psychological scales, that is, Job Stressor Appraisal Scale, Copenhagen Burnout Scale, and Self-Compassion Scale. Four dimensions of work stress “Role and Workload, Role Inadequacy, Organizational Rules & Practices, and Subordinate Relations” are taken into consideration in the volumetric model. Path analysis with bootstrapping (5,000 resamples) was implemented using Mplus statistical software, with gender, economic condition, and way of working during COVID-19 as covariates. Findings: The model fit was acceptable in path analysis. Role and workload and role inadequacy had a significant direct impact on burnout. Self-compassion had a significant mediating impact on the relationship between role and workload and burnout and the relationship between role inadequacy and burnout. Conversely, for organizational rules and practices and subordinate relations, both direct and mediating effects were non-significant. The model accounted for 21% and 52% for variance in self-compassion and burnout, respectively. Conclusion: This study emphasises the mediating role of self-compassion in the effect of job stressors on burnout. These findings suggest that interventions promoting self-compassion in the workplace may be effective in reducing employee burnout.
Witnessing the end, supporting the living: A qualitative study of palliative caregiving in end-of-life patients in Türkiye
(Cambridge University Press, 2026-02-11) Sert Yurdakul, Selin; Erbay Erşen, Merve; Özel, Dilara
Objectives. Palliative care seeks to enhance the quality of life for individuals with serious illnesses and their families by addressing physical, emotional, and psychological needs. This phenomenological study examines the lived experiences of 8 caregivers in palliative care settings in Türkiye, focusing on the challenges they face, the coping mechanisms they employ, and their reflections on the caregiving role. Special emphasis is given to both psychological and somatic signs of stress, along with the possible advantages of body-oriented resilience techniques. Methods. Using a phenomenological qualitative design, semi-structured interviews were conducted with 8 caregivers providing care to relatives in a hospital-based palliative care unit. Data were collected between February and April 2023 and analyzed through conventional content analysis. Results. Four central themes emerged from inductive coding: harmony in healing, navigating difficulties, resilience in palliative care, and reflections on the finite. The findings reveal a dual reality: palliative caregivers derive meaning and satisfaction from compassionate connections, high-quality clinical care, and peer support, yet they also endure significant burdens, including emotional strain, physical exhaustion, disrupted daily routines, and shifting relational dynamics. Anticipatory grief and chronic stress responses were prevalent, frequently manifesting in both psychological and somatic forms (e.g., sleep disturbances, muscle tension, and autonomic arousal). Despite these challenges, palliative caregivers employed spiritual beliefs, peer interactions, and self-care routines as resilience strategies. Significance of results. The mind–body challenges identified in the study emphasize the need for interventions that focus on self-regulation and resilience, including body-oriented approaches that strengthen internal resources, regulate stress responses, and encourage adaptability. Incorporating such approaches into group-based settings may improve mutual support and enhance both individual and relational well-being. The study highlights the importance of comprehensive, caregiver-centered support systems to reduce burden and improve the overall quality of palliative care.
Validation and normative data study for the Turkish version of the movie for the assessment of social cognition (MASC-TR)
(Oxford University Press, 2026-02-05) Şandor, Serra; Hıdıroğlu-Ongun, Ceren; Tanfer, Mehmet Can; Gürkaş, Sena; Bora, Emre; Yıldırım, Elif
Objective This study aimed to adapt the Movie for the Assessment of Social Cognition (MASC) into Turkish (MASC-TR), examine its psychometric properties, and establish normative data. Additionally, the study investigated the discriminative validity of the MASC-TR in differentiating individuals with autism spectrum disorder (ASD) from healthy controls. Methods The sample comprised 228 healthy adults and 29 individuals with ASD aged 18–45 years. Participants completed the MASC-TR along with established measures of theory of mind (ToM)—the Reading the Mind in the Eyes Test (RMET) and the Faux Pas Recognition Test (FPRT)—as well as non-social cognitive tasks assessing attention, working memory, and executive functions. Reliability analyses included internal consistency and test–retest reliability. Construct validity was assessed via convergent and discriminant correlations. Group comparisons and receiver operating characteristic analyses were used to evaluate discriminative validity, while multifactorial analysis of variance and regression analyses examined demographic effects. Results The MASC-TR demonstrated acceptable internal consistency (α=0.75) and excellent test–retest reliability (ICC=0.98). Significant positive correlations with RMET and FPRT supported convergent validity. Education level emerged as the only significant demographic predictor of MASC-TR performance. The MASC-TR successfully differentiated individuals with ASD from controls (t=−3.87, p<.001), with an optimal cutoff of 23.5 yielding 97% sensitivity and 52% specificity (area under the curve=0.72). Conclusions The findings indicate that the MASC-TR is a valid and reliable measure of social cognition in Turkish adults. The availability of culturally adapted normative data enhances its clinical and research utility for assessing ToM functioning across populations.
Enhancement of epoxy properties through graphene nanofillers produced in molten salt: morphological, thermal and mechanical characterization
(Springer, 2026) Gül, Ayşenur; Kamali, Ali Reza
This research investigates the enhancement of epoxy resin properties through the incorporation of graphene nanoplatelets (GNPs), synthesized via the molten salt exfoliation method, as nanofillers. The study evaluates the morphology, thermal conductivity, and mechanical performance of the resulting nanocomposites. Electron microscopy reveals a high density of reactive edge sites in the graphene material, which enable bonding with epoxy groups during curing. It also shows a uniform dispersion of graphene nanoplatelets (GNPs) within the epoxy matrix, leading to reduced void formation and enhanced interfacial bonding. A notable improvement in the physical and mechanical properties of the epoxy was observed with the addition of GNPs up to 1.0 wt%. At this concentration, Young’s modulus increased by approximately 42% (from 2.9 to 4.2 GPa), while thermal conductivity, compressive strength, and tensile strength improved by around 41%, 9%, and 32%, respectively. These findings indicate that the integration of GNPs into epoxy resin significantly enhances both thermal and mechanical performance, positioning the nanocomposites as strong candidates for advanced structural applications.
Hierarchical secure key assignment scheme
(Public Library of Science, 2026-02-18) Çeliktaş, Barış; Çelikbilek, İbrahim; Güzey, Süeda; Özdemir, Enver
This work presents a novel hierarchical key assignment mechanism for access control, designed to be computationally lightweight and optimized for digital environments with structured access policies. By leveraging orthogonal projection and distributing a basis to each group, it enables flexible and efficient left-to-right and top-down access structures. The scheme ensures that parent groups can derive the secret keys of their child groups while preventing unauthorized reverse access. It is resilient against collusion attacks and privilege escalation, offering robust key recovery and indistinguishability properties. Moreover, it guarantees strong key indistinguishability under adversarial models and facilitates a secure rekeying process without reliance on a trusted third party. To demonstrate practical efficiency, we provide a full analytical complexity evaluation showing that key derivation requires at most ∂(n2i ) operations, where ni is the dimension of the assigned subspace. For typical deployment parameters used in the experiments, the total key material per user remains compact (≈ 3,072 bits), significantly smaller than well-known post-quantum schemes such as Dilithium-5 (38,912 bits). The storage requirement scales linearly with the number of groups (ck+1 bases for c groups with at most k members), ensuring that even large hierarchies remain lightweight. Our evaluation further shows that selective rekeying affects only the descendants of the modified group, resulting in communication overhead of ∂(m′λ) bits, where m′ is the number of affected users and λ is the key length. These results collectively highlight the scheme’s scalability, low storage footprint, and suitability for large access hierarchies.
Architects' journeys to Italy and their contribution to architectural culture in postwar-era Turkey
(Cambridge University Press, 2024-12) Hamiloğlu, Ceren; Özsoy, Ahsen
In the twentieth century, the mobility of architects and ideas played an important role in the dissemination of an architecture culture characterised by modernity. Architectural ideas were disseminated through institutions and a variety of visual, verbal, and textual representations as well as physical encounters. Travel, with its associated architectural thinking and representation, became a generative practice through which the dissemination of architecture could be understood. The Grand Tour was one of the most well-studied examples of travel as a rite of passage, and Italy remained a dominant destination long after its peak in the eighteenth century. Italian architectural discourse entered Turkey through travels and publications, mostly in the prewar era. This article aims to show the role of architects’ travels in inducing architectural productions through a variety of representations from sketches to published media, scrutinising Turkish-speaking architects’ journeys to Italy in the postwar era. The study incorporates content analysis of selected media - such as photographs, articles, class notes, books, and memoirs - to review architects’ productions during and after their travels, as they facilitated the dissemination of an architecture culture ‘brought back’ after key experiences.
Innoveadership: marrying strategic leadership with complexity
(IGI Global, 2017) Yüksel, Ahmet Hakan; Wang, Viktor
Scholars in the field of management studies are not reticent about how lively is the correlation between leadership and innovation. Given the pervasiveness of mechanistic view of organizations in the last century, this correlation was supposed to be entertained by the leaders who possessed certain personal traits and displayed behavioral patterns relevant for their followers. However, in an age of interconnectedness, leadership calls for more than leaders are capable to afford. Leadership should be acknowledged as an inter-relational social component, which is inherently embedded in each and every social interaction in the organization. Innovation, therefore, is embodied in the sum of all the interaction. This conceptual chapter intends to merge leadership and innovation and coins the term innoveadership to demonstrate their intertwined nature. Innoveadership could be described as a conflation of constructs postulated by leading scholars in the field of leadership and management studies within the contextual climate of complexity thinking.
Energy-based characterization of drilling-induced residual stresses in AA7075-T6
(Multidisciplinary Digital Publishing Institute (MDPI), 2026-01) Tok, Görkem; Dinçer, Ammar Tarık; Bakkal, Mustafa; Kuzu, Ali Taner
This study examines the influence of drilling parameters on thrust force, torque, active work, and axial residual stress formation in hot-forged and T6-treated AA7075, a critical high-strength aluminum alloy. A full factorial design was applied using three spindle speeds (800, 1000, 1200 rpm) and three feed rates (0.05, 0.10, 0.15 mm/rev). Cutting force and torque signals were measured using a dynamometer, and axial residual stresses were determined by X-ray diffraction at two locations along the hole depth, namely, the hole entrance (Point A) and the hole exit (Point B). The results show that feed rate is the dominant factor influencing drilling mechanics and residual stress formation, whereas spindle speed mainly affects the thermal and frictional conditions governing stress relaxation. A consistent asymmetry was observed between the two measurement locations, with the exit side exhibiting stronger stress relaxation behavior associated with breakthrough mechanics. Finally, the relationship between active work and axial residual stress is discussed using a qualitative, energy-based interpretation, highlighting active work as a physically meaningful indicator for drilling-induced residual stress evolution.
Ottoman Empire and Imperialism
(Springer Nature Switzerland AG, 2021) Ülker, Erol; Ness, Immanuel; Cope, Zak
[No abstract available]
Manufacturing techniques of bulk metallic glasses
(Wiley, 2019-08-16) Bakkal, Mustafa; Karagüzel, Umut; Kuzu, Ali Taner; Koç, Muammer; Özel, Tuğrul
This chapter discusses some of the most common metallic glass sheets, ribbons, and bulk metallic glasses (BMGs) rod, bar, and plate manufacturing methods. The discussed methods include: rapid quenching methods, water-quenching method, arc melting drop/suction casting method, high-pressure die casting method, copper mold casting method, cap casting method, centrifugal casting method, and metal foaming method. Water quenching method is one of the easiest methods to obtain amorphous microstructure for some BMG alloys. Method includes a sequence of heating and quenching processes. Another BMG manufacturing method is arc melting method with a special combination of different casting methods. Arc melting and drop casting methods are well established and known processes for BMG alloys. Drop casting is typically used to process materials with diameters larger than 6mm, while suction casting is used for casting of materials with diameters under 6mm.
REINTERPRETARE IL RUOLO ECOLOGICO DELL’ACQUA Materiali viventi e design inclusivo
(LetteraVentidue Edizioni S.r.l., 2025-12-30) Süyük Makaklı, Elif; Yücesan Altay, Ebru
L’acqua ha storicamente agito come catalizzatore culturale dello spazio, plasmando la vitacollettiva attraverso la sua presenza ecologica e sensoriale. In tale ottica l’articolo reinterpretail ruolo ecologico dell’acqua attraverso un approccio ‘ricerca attraverso il design’ che sviluppaun quadro concettuale per la progettazione di interventi di micro-architetture. Lo studio esploracome i materiali a base biologica, e in particolare i compositi di micelio e i sistemi biolumine-scenti, possano migliorare il coinvolgimento multisensoriale e la consapevolezza ecologicanegli spazi pubblici. Attingendo alla recente letteratura internazionale e alla ricerca nel campodel progetto il contributo individua parametri per le prestazioni luminose, il comportamentodei materiali e la reattività ambientale. La proposta che ne risulta posiziona l’acqua comeun mezzo spaziale attivo, percettibile e inclusivo, contribuendo ai dibattiti attuali sul designmultispecie, l’urbanistica sensoriale e il legame tra gli SDG 6, 11 e 13.
Formal thought disorder and familial risk in first-episode psychosis: A study of cortical thickness and neuroimaging-transcriptomic association analysis
(Elsevier Ireland Ltd, 2026-01-16) Çabuk, Tuğçe; Zhang, Yuanchao; Palaniyappan, Lena; Şahin Çevik, Didenur; Avcı, Hanife; Çakmak, Işık Batuhan; Yılmaz Kafalı, Helin; Şenol, Bedirhan; Karlı Oğuz, Kader; Toulopoulou, Timothea
Formal thought disorder (FTD), a prominent feature of schizophrenia, encompasses disruptions in thought, language, and communication. This study examines cortical thickness (CT) alterations in first-episode psychosis (FEP) patients (N = 24), their siblings (SIB) (N = 21), and healthy controls (CON) (N = 21) to explore potential neural correlates of FTD. Using structural MRI, we analyzed whole-brain CT and its relationship with positive and negative FTD measured by Thought and Language Index. Out-of-sample spatial correlations of gene expression with regional CT were also performed using a transcriptomic dataset. FEP had significant CT reductions in right middle frontal gyrus (MFG) compared with SIB and CON and in superior frontal gyrus (SFG) compared to CON; but SIB did not differ from CON. GLM analyses demonstrated that negative FTD exerted a significant main effect on CT in the MFG and SFG. By contrast, positive FTD showed no significant associations with CT. Neuroimaging-transcriptomic association analysis identified key biological pathways linked to cortical morphology. These findings emphasize the specific association between negative FTD and CT alterations in frontal brain regions, confirming prior reports. Future research should examine larger cohorts and investigate additional FTD subtypes to further elucidate neural correlates and potential familial risks of schizophrenia.
Future circular collider feasibility study report: volume 1 physics, experiments, detectors
(Springer Nature, 2025-12) Benedikt, Michael; Zimmermann, Frank; Auchmann, Bernhard; Bartmann, Wolfgang; Burnet, Jean Paul; Bayındır, Cihan
Volume 1 of the FCC Feasibility Report presents an overview of the physics case, experimental programme, and detector concepts for the Future Circular Collider (FCC). This volume outlines how FCC would address some of the most profound open questions in particle physics, from precision studies of the Higgs and EW bosons and of the top quark, to the exploration of physics beyond the Standard Model. The report reviews the experimental opportunities offered by the staged implementation of FCC, beginning with an electron-positron collider (FCC-ee), operating at several centre-of-mass energies, followed by a hadron collider (FCC-hh). Benchmark examples are given of the expected physics performance, in terms of precision and sensitivity to new phenomena, of each collider stage. Detector requirements and conceptual designs for FCC-ee experiments are discussed, as are the specific demands that the physics programme imposes on the accelerator in the domains of the calibration of the collision energy, and the interface region between the accelerator and the detector. The report also highlights advances in detector, software and computing technologies, as well as the theoretical tools/reconstruction techniques that will enable the precision measurements and discovery potential of the FCC experimental programme. The content and structure of this report are guided by the scope and priorities defined in the mandate of the FCC Feasibility Study. It is therefore not intended to serve as an exhaustive review of the full physics potential of FCC. Several topics, already covered in earlier reports such as the FCC CDR, are not reiterated here or are addressed only briefly, in alignment with the study’s focus. This volume reflects the outcome of a global collaborative effort involving hundreds of scientists and institutions, aided by a dedicated community-building coordination, and provides a targeted assessment of the scientific opportunities and experimental foundations of the FCC programme.

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