Although the influence of infill masonry on horizontal load structure behavior is well-documented, current standards and regulations have yet to fully incorporate or explicitly define the load-bearing capacity of this complex system. Canadian and American standards present more comprehensive and specific methodologies for calculating the load-bearing capacity of infill masonry and frame systems. In contrast, European standards tend to focus on offering general guidelines for the design of these systems without delving into the detailed calculation procedures. However, extensive data and experimental studies on this topic are available in the literature. The primary aim of this paper was to compile a database of experiments involving frames with different types of infill masonry. Subsequently, the empirical results obtained through the application of analytical expressions from various standards are compared to the experimental data included in the compiled database. The obtained load-bearing values were compared to different standards and work conducted by various researchers found in the literature in order to assess their reliability. Based on the obtained results, important conclusions were drawn, specifically to the most accurate equivalent diagonal model used and the analytical expressions to be used in the assessment of the masonry-infilled steel frame behavior. The equivalent diagonal model, utilized in all analytical expressions, can provide highly accurate estimations of load-bearing capacities that closely align with the experimental results. Regardless of the type of infill element, the analytical expressions consistently overestimated the load-bearing capacity. In the presence of longitudinal force, analytical expressions tend to be conservative, providing significantly lower load-bearing values compared with experimental results, which ensures a safety margin. The database can be utilized to develop numerical models, which can subsequently serve as the foundation for probabilistic methods used in conducting reliability assessments.

: Ophiolitic mélanges of the Ozren and Borja-Mahnjača massifs comprise Middle Triassic, Lower Jurassic, and Middle Jurassic radiolarites. The Middle Triassic radiolarites from clastic components in the mélange of the Ozren ophiolite complex (OOC) predominantly contain the species Annulotriassocampe and Triassocampe species, together with marker species of the Ladinocampe multiperforata Zone, belonging to the Illyrian. These Middle Triassic radiola-rites are remnants of the Maliac Ocean, which opened during the Late Anisian. The inferred continuation of the Middle Triassic radiolarian sedimentation to the Early Jurassic is recorded by radiolarites from block-in-matrix in the mélange of the Borja-Mahnjača ophiolite complex (BMOC). Their Sinemurian–Pliensbachian age is indicated by species of the genera Canoptum, Katroma, Droltus , Lantus, Gorgasium , Charlottea , Bipetis , Paleosaturnalis and Paroanella . Such Lower Jurassic radiolarites were so far unknown from the Dinaric ophiolite complexes. The Middle Jurassic radio-larites cover the pillow basalts of the OOC. Their microfauna indicates the Bathonian–early Callovian age based on the LADs of Mizukidella kamoensis and Hemicyrtocapsa carpathica and FADs of Transhuum brevicostatum , Cinguloturris cf. carpathica , Loopus venustus and Protunuma turbo within the UAZ 6–7 Zone. The Middle Jurassic radiolarites are also interbedded in the pillow lavas of the BMOC. In addition to common species of the UAZ 6–7 Zone (e.g., Transhuum maxwelli , Eucyrtidiellum unumaense , Unuma gordus ), they also contain the species Takemuraella veghae and Eoxitus cf. baloghi, which are limited to the Bathonian. Considering the radiolarites from the pillow basalts, the OOC and BMOC are interpreted as the mélanges with the reworked clasts of the Middle Triassic to Lower Jurassic radiolarites, but also with the Middle Jurassic radiolarites. The Middle Triassic radiolarites of the OOC and the Lower Jurassic radiolarites of the BMOC represent rare remnants after the closure of the Middle Triassic to Lower Jurassic Maliac Ocean of the Neo - tethys. The newly-formed Neotethyan oceanic crust was terminated by the Middle Jurassic radiolarian deposition in an inferred fore-arc/back-arc basin until the Bathonian to early Callovian.

A genomic and transcriptomic analysis of patients with clear-cell renal cell carcinoma reveals clinically relevant patterns of nongenetic evolution, including progressive immune dysfunction and cGAS–STING suppression.

Hazard vulnerability assessment of critical infrastructures (CIs) is crucial for ranking infrastructures based on their level of criticality, enabling the urban managers to prioritize CIs for allocating funds in the hazard mitigation/recovery process. This study aims to provide a framework for ranking CIs based on a rapid and preliminary flood vulnerability assessment by introducing a methodology for classifying CIs according to their vulnerability to riverine flooding. An indicator‐based vulnerability curve is calculated both quantitatively (using Fuzzy Logic Toolbox in MATLAB) and qualitatively (using susceptibility–exposure matrix), based on which CIs prioritization is accomplished with a focus on functional flood vulnerability considering structural/nonstructural damages. Besides, this study addresses the consequences that a damaged infrastructure may have on the rest of CIs and estimates their vulnerability given the additive impact of the surrounding failed infrastructures considering their interdependence. The methodology was applied to Berat (Albania) and Sarajevo (Bosnia‐Herzegovina) with findings compared to those of a multi‐criteria decision‐making‐based approach commonly used in CI ranking literature. The obtained results from both methods represent that roads are the most vulnerable studied infrastructure in the case of Berat, while regarding the city of Sarajevo, road infrastructures are considered the least vulnerable to riverine floods compared to bridges and schools.

Embedded systems, particularly when integrated into the Internet of Things (IoT) landscape, are critical for projects requiring robust, energy-efficient interfaces to collect real-time data from the environment. As these systems become complex, the need for dynamic reconfiguration, improved availability, and stability becomes increasingly important. This paper presents the design of a framework architecture that supports dynamic reconfiguration and “on-the-fly” code execution in IoT-enabled embedded systems, including a virtual machine capable of hot reloads, ensuring system availability even during configuration updates. A “hardware-in-the-loop” workflow manages communication between the embedded components, while low-level coding constraints are accessible through an additional abstraction layer, with examples such as MicroPython or Lua. The study results demonstrate the VM’s ability to handle serialization and deserialization with minimal impact on system performance, even under high workloads, with serialization having a median time of 160 microseconds and deserialization having a median of 964 microseconds. Both processes were fast and resource-efficient under normal conditions, supporting real-time updates with occasional outliers, suggesting room for optimization and also highlighting the advantages of VM-based firmware update methods, which outperform traditional approaches like Serial and OTA (Over-the-Air, the ability to update or configure firmware, software, or devices via wireless connection) updates by achieving lower latency and greater consistency. With these promising results, however, challenges like occasional deserialization time outliers and the need for optimization in memory management and network protocols remain for future work. This study also provides a comparative analysis of currently available commercial solutions, highlighting their strengths and weaknesses.

When nonsequential double ionization is treated using the strong-field approximation and the saddle-point (SP) method, the transition amplitude can be expressed as a coherent sum of the partial amplitudes corresponding to different SP solutions. For the case of the recollision excitation with subsequent ionization (RESI) mechanism of the nonsequential double ionization, we examine the partial contributions of the SP solutions which correspond to the electron responsible for the excitation. For a monochromatic linearly polarized laser field, we find that, in addition to the pair of the SP solutions with the shortest travel time, other SP solutions may also make a significant contribution to the photoelectron yield. Moreover, the SP solutions appear in pairs and exhibit notable modifications in comparison to those observed in high-order above-threshold ionization. Furthermore, for a bichromatic linearly polarized driving field, we investigate the intensity range obtained using the simpleman’s model for which the RESI mechanism is dominant. We find that this range must be modified if the photoelectron yield corresponding to the SP solution for which the photoelectron has the highest energy upon return to the parent ion is small. This is particularly the case for the excitation channels involving loosely bound excited states.

Designing controllers that accomplish tasks while guaranteeing safety constraints remains a significant challenge. We often want an agent to perform well in a nominal task, such as environment exploration, while ensuring it can avoid unsafe states and return to a desired target by a specific time. In particular we are motivated by the setting of safe, efficient, hands-off training for reinforcement learning in the real world. By enabling a robot to safely and autonomously reset to a desired region (e.g., charging stations) without human intervention, we can enhance efficiency and facilitate training. Safety filters, such as those based on control barrier functions, decouple safety from nominal control objectives and rigorously guarantee safety. Despite their success, constructing these functions for general nonlinear systems with control constraints and system uncertainties remains an open problem. This paper introduces a safety filter obtained from the value function associated with the reach-avoid problem. The proposed safety filter minimally modifies the nominal controller while avoiding unsafe regions and guiding the system back to the desired target set. By preserving policy performance while allowing safe resetting, we enable efficient hands-off reinforcement learning and advance the feasibility of safe training for real world robots. We demonstrate our approach using a modified version of soft actor-critic to safely train a swing-up task on a modified cartpole stabilization problem.

This study examines the urgency of strengthening Indonesia's presidential institution to enhance governance and adapt to contemporary challenges. The research aims to assess the institution's capacity to ensure political stability, promote democratic values, and address corruption and centralization of power. Utilizing mixed methods, the study combines surveys, in-depth interviews, and direct observation, supported by thematic and statistical analysis. Key findings indicate that improving inter-institutional collaboration, adopting innovative decision-making strategies, and leveraging technology for transparency are crucial for addressing governance challenges. The study concludes that reforms in legal frameworks and accountability mechanisms are vital for enhancing public trust and institutional responsiveness. These findings provide actionable insights for policymakers to advance democratic governance and institutional resilience

In the Croatian apple germplasm, there are, presumably, unique genotypes that have not yet been documented in reference molecular databases. Due to similarities between accessions, incorrect names are often used, which creates a problem in the identification of accessions. Overall, 169 apple accessions and 11 reference cultivars from the largest ex situ apple collection in the Republic of Croatia were investigated within this study. The examined accessions have been genotyped using SSR markers. In order to assess the advantage of a high-resolution marker system, such as SNPs, compared to low-resolution markers, such as SSRs, a subset of 23 unique apple accessions and eight reference cultivars were genotyped using the 480K Affymetrix Axiom SNP array. Results obtained through the use of two marker systems revealed 26 synonyms, 40 duplicates, 13 mislabeling accessions, 45 accessions with confirmed identity (known cultivars), and 45 unique accessions, as well as the true identity of a large number of accessions, currently maintained at the Croatian National Apple Germplasm Bank. In order to investigate the pomological variability of unique apples, a three-year study was carried out on eleven pomological traits. The researched germplasm shows an exceptional diversity of pomological properties. Many of the accessions can be considered unique, and the results of the pomological characterization indicated that this germplasm contains valuable traits of interest for future breeding programs.

A novel method for solving the multiple-attribute decision-making problem is proposed using the complex Diophantine interval-valued Pythagorean normal set (CDIVPNS). This study aims to discuss aggregating operations and how they are interpreted. We discuss the concept of CDIVPN weighted averaging (CDIVPNWA), CDIVPN weighted geometric (CDIVPNWG), generalized CDIVPN weighted averaging (CGDIVPNWA) and generalized CGDIVPN weighted geometric (CGDIVPNWG). This study aimed to examine several aggregation operators using complex Diophantine interval-valued Pythagorean normal sets. We calculated the weighted average and geometric distance based on an aggregating model. We demonstrate that complex Diophantine interval-valued Pythagorean normal sets satisfy algebraic structures such as associative, distributive, idempotent, bounded, commutative and monotonic properties. In this study, we discuss the mathematical properties of the score and accuracy values. We provide an example of how enhanced score and accuracy values are used in the real world. Machine tool technology and computer science play essential roles in robots. To evaluate robotic systems, four factors must be considered such as tasks, precision, speed and completion of the work. Consequently, it is evident that the models are significantly influenced by the natural number \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\nabla$$\end{document}. To further demonstrate the effectiveness of the suggested approach, flowchart based multi-criteria decision-making is provided and applied to a numerical example. Additionally, a comparative study has been carried out to demonstrate the better results that the proposed approach provides when compared to current approaches.

Background: There are limited therapeutic options in cases of failed reperfusion (modified thrombolysis in cerebral infarction [mTICI] score < 2b) after stent-retriever and/or aspiration based endovascular treatment (EVT) for acute ischemic stroke. Despite the absence of data supporting its use, rescue therapy (balloon angioplasty and/or stent implantation) is often utilized in such cases. Studies are limited to large vessel occlusions, while the outcomes and complications after rescue therapy in medium/distal vessel occlusions (MDVOs) have not been reported. This study aims to report the outcomes of rescue therapy in MDVO stroke patients. Methods: We performed an analysis of the “Blood pressure and Antiplatelet medication management after reScue angioplasty after failed Endovascular treatment in Large and distal vessel occlusions with probable IntraCranial Atherosclerotic Disease” (BASEL ICAD) retrospective registry. All MDVO stroke patients were included in the analysis. Results: Out of the 718 registry patients, 87 (12.1%) presented with an MDVO. Fifty-six patients (64.4%) showed an occlusion of the M2 segment of the middle cerebral artery. Rescue stenting was performed in 78 patients (89.7%) while balloon angioplasty alone was performed in 9 patients (10.3%). Successful reperfusion (mTICI score ⩾ 2b) was achieved in 73 (83.9%) patients after rescue therapy. Symptomatic intracranial hemorrhage (sICH) occurred in 8 patients (9.2%) and post-treatment stent occlusion in 12 patients (13.8%). Ninety days mortality was 20.7%. Twenty-eight patients (32.2%) achieved functional independence at 90 days (modified Rankin Scale 0–2). Conclusion: Rescue therapy with stenting and/or balloon angioplasty in patients undergoing EVT for isolated MDVO with suspected underlying intracranial atherosclerotic disease is an effective reperfusion strategy but is associated with complications and poor functional outcomes. Graphical abstract