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Aero-engines, the core of air travel, rely on advanced high strength-toughness alloys (THSAs) such as titanium alloys, nickel-based superalloys, intermetallics, and ultra-high strength steel. The precision of cutting techniques is crucial for the manufacture of key components, including blades, discs, shafts, and gears. However, machining THSAs pose significant challenges, including high cutting forces and temperatures, which lead to rapid tool wear, reduced efficiency, and compromised surface integrity. This review thoroughly explores the current landscape and future directions of cutting techniques for THSAs in aero-engines. It examines the principles, mechanisms, and benefits of energy-assisted cutting technologies like laser-assisted machining and cryogenic cooling. The review assesses various tool preparation methods, their effects on tool performance, and strategies for precise shape and surface integrity control. It also outlines intelligent monitoring technologies for machining process status, covering aspects such as tool wear, surface roughness, and chatter, contributing to intelligent manufacturing. Additionally, it highlights emerging trends and potential future developments, including multi-energy assisted cutting mechanisms, advanced cutting tools, and collaborative control of structure shape and surface integrity, alongside intelligent monitoring software and hardware. This review serves as a reference for achieving efficient and high-quality manufacturing of THSAs in aero-engines. The energy field assisted mechanical processing technology methods and development status are introduced. The development of tool preparation technology for high-strength and toughness materials is elaborated. The development of collaborative technologies of structure shape and surface integrity is summarized. The development of intelligent monitoring technology is summarized. The development and sustainability of advanced cutting technologies for high strength-toughness alloys in aero-engines are prospected.

Stiffened panels are used to reduce the displacement by loading. This study deals with the numerical simulation of stiffened panels in which the stiffeners are integrated to the panel. The panel is subjected to compressive load along the stiffener axis. This induces buckling stress in the structure. In this study, a Tee shaped stiffener is used for analysis. The focus of the study is to investigate the deformation as well as structural integrity of an integrated stiffened panel by performing buckling analysis and all the comparisons are made with conventional stiffened panel using ANSYS software. The simulation reveals that the integrated stiffened panel gives an improved performance than the conventional design. The integrated stiffened panel shows around 1.2% higher strain rate, stress capacity higher by nearly 4.864% and around 20.25% deformation resistance variation compared to the conventional panel. Therefore, the integrated stiffened panel is found to be an acceptable alternative to the conventional stiffened panel design.

Advanced space-based solar observatory (short for ASO-S) is one of the space projects sponsored by the Chinese Academy of Sciences; its main scientific goals are to monitor the solar activities during the solar maximal years and to aim at some discoveries of such solar activities as coronal mass ejection, solar flares, and sun spots. The main orbit element variations were simulated based on the online available data set of orbit elements for the satellite ASO-S. Furthermore, based on SOCRATES Plus software, the close approaching objects in space were simulated for satellite ASO-S. These objects are the focused points that might threaten the integrity of satellite ASO-S.

At the start of its construction, Masjid At-Taqarrub was the largest mosque in Trienggadeng District. Based on Pidie Jaya Regent Regulation Number 12 of 2020, it was designated as the Islamic Center of Pidie Jaya Regency. Based on the change in the status of mosques as Islamic centers, their needs and functions are certainly increasing. So it is necessary to carry out a retirement evaluation to review the effectiveness of using this mosque. This research aims to identify and analyze the spatial configuration based on the Space Syntax approach in this mosque. The method used is quantitative, collecting observation data for analysis using the depthmapX software. The results of this research show that the minimum connectivity value is 36 and the maximum value is 8.988, while the minimum integrity value is 2,54141 and the maximum value is 31,682. The most effective space is the prayer room. The multipurpose room is considered quite effective, while the overall layout of the entrance area is considered ineffective because it still confuses visitors. It is hoped that this research can provide input for improving spatial organization to make it more effective.

In recent years, the Software Supply Chain (SSC) has become a key target for cyberattacks due to its complex structure and dependence on third-party and open-source components. These attacks pose serious risks to the integrity and security of software systems. While many studies have explored solutions to specific security issues in the SSC, the relationships among the barriers to achieving robust security have not been comprehensively analyzed—particularly in the context of SSC security challenges using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique. This study addresses this gap by identifying and analyzing the major challenges that weaken SSC security. To do this, the DEMATEL method was used to explore how different security challenges affect each other. Ten key challenges were identified based on a detailed literature review. The findings indicated that the three most significant challenges are insecure software distribution mechanisms, inadequate continuous monitoring and incident response capabilities, and the growing complexity and diversity of cyber-attacks. By visualizing the relationships between these challenges, this study clarifies where to focus security efforts. Solving root causes can lead to broader improvements across the entire software supply chain. The findings offer practical insights for decision-makers seeking to improve cybersecurity strategies in software development environments.

Currently, China is engaged in the construction of urban subterranean areas and the deployment of gas pipelines within these spaces. Nonetheless, the entry of gas into subterranean areas poses a definite threat of leaks and explosions. An explosion triggered by a gas pipeline leak will gravely compromise the underground space’s integrity and significantly affect nearby structures. Consequently, examining the spread properties of gas explosion shock waves in urban subterranean areas is essential. This document utilizes FLACS software to develop an extensive straight confined space gas explosion model, examining the load properties of gas explosion shock waves and deriving the propagation law and distribution patterns of blast shock wave loads across various methane volumes. Gas explosion tests confirm the precision of the numerical model. Findings from the study can supply data on load for comparable safety assessments in underground spaces, enhancing their resilience to explosions.

Efficient remote file access is essential for High Energy Physics (HEP) experiments, particularly with the anticipated tenfold increase in data volume for Run 4 of the LHC. XRootD and EOS are critical components of the HEP ecosystem, enabling remote data access via XRootD and HTTP protocols. In this work, we evaluate the performance of various client implementations over these protocols using an XRootD server with a high-performance tmpfs mount. In order to ensure an infrastructure-independent assessment, benchmarking is conducted in a controlled 100GbE networking environment, eliminating external bottlenecks and isolating software performance. Network integrity was first validated using iperf3 before executing the benchmarks. Our study identifies a performance bottleneck in multi-stream data transfers at high rates within the XRootD client. A fix has been developed and will be included in XRootD 5.8.0, significantly improving high-throughput data access.

Mapping cellular organization in the developing brain presents significant challenges due to the multidimensional nature of the data, characterized by complex spatial patterns that are difficult to interpret without high-throughput tools. Here, we present DeepCellMap, a deep-learning-assisted tool that integrates multi-scale image processing with advanced spatial and clustering statistics. This pipeline is designed to map microglial organization during normal and pathological brain development and has the potential to be adapted to any cell type. Using DeepCellMap, we capture the morphological diversity of microglia, identify strong coupling between proliferative and phagocytic phenotypes, and show that distinct spatial clusters rarely overlap as human brain development progresses. Additionally, we uncover an association between microglia and blood vessels in fetal brains exposed to maternal SARS-CoV-2. These findings offer insights into whether various microglial phenotypes form networks in the developing brain to occupy space, and in conditions involving haemorrhages, whether microglia respond to, or influence changes in blood vessel integrity. DeepCellMap is available as an open-source software and is a powerful tool for extracting spatial statistics and analyzing cellular organization in large tissue sections, accommodating various imaging modalities. This platform opens new avenues for studying brain development and related pathologies. DeepCellMap, a deep-learning tool, maps microglial organisation in the developing brain, revealing their spatial diversity, clustering patterns, and associations with blood vessels. DeepCellMap is available as an open-source software.

Sealing integrity of wellbore under cyclic load is one of the key issues to ensure production safety during the development of oil and gas fields. In this paper, the sealing integrity of casing and cement ring under cyclic load is studied by means of physical experiment and finite element analysis. The actual working conditions of casing under cyclic load were simulated by self-made test device, and the casing-cement ring-formation 3D model was established with Abaqus finite element software, and the sealing integrity was numerically simulated. The results show that the increase of cyclic load has little effect on the plastic deformation and bearing performance of the casing, but with the increase of the number of load cycles, the cement ring is subjected to circumferential stress, and the displacement of the cement ring with small elastic modulus is larger, which can lead to the poor sealing property of the cementing surface between the casing and the cement ring.

The aim of this paper is to identify effective strategies and solution for damaged column due to corrosion. It investigates a case study of a commercial building in Aceh Province, Indonesia, that suffered from corrosion attack in its columns. The building’s structural deterioration was due to the corrosion of its embedded steel reinforcement, which led to cracking, spalling of concrete and ultimately local buckling. The assessment method that conducted on the existing building involved a combination of non-destructive testing, visual inspections, and laboratory analysis to assess the structural condition and identifying the necessary repairs. The structural model was developed using finite element analysis software, which utilizes a numerical method to simulate the structural response to different loads. The retrofitting strategy included both jacketing and the addition of wide flange profile columns to enhance structural integrity. It demonstrates the effectiveness of structural retrofitting in restoring the integrity of structural column damaged by corrosion with the retrofitted columns exhibiting up to 15 greater strength than the existing column. This study provides insights into effective strategies for rehabilitating structures affected by natural disasters.