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An optimized core frame disassembly transportation technology is proposed in response to the transportation challenges of large transformers in remote areas with unique geographical environments or restricted transportation conditions. Through in-depth analysis of key processes such as on-site assembly transformer schemes, disassembly, transportation, and on-site assembly, practical transportation solutions are provided for power generation and planning in remote area energy systems.

In relay protection testing work, the disassembly and wiring steps of the terminal block signal circuit of the protection device are complex and risky, involving the disassembly and assembly of screws and signal wires, as well as the fixing screws after the pin connection, etc. This not only increases the difficulty of operation but also can easily lead to miswiring, accidental contact of signal lines, and other safety incidents, which may cause the protection devices to malfunction. To improve testing efficiency and ensure the safety of the testing process, this paper designs and develops a Phoenix terminal relay protection test adapter that does not require disassembly and wiring. The adapter aims to simplify the wiring process, reduce the difficulty of operation, effectively avoid safety risks caused by misoperation, and provide a more convenient and safe solution for relay protection testing work.

Racism is not always conscious, explicit, or readily visible- often it is systemic and structural. Systemic and structural racism are forms of racism that are pervasively and deeply embedded in systems, laws, written or unwritten policies, and entrenched practices and beliefs that produce, condone, and perpetuate widespread unfair treatment and oppression of people of color, with adverse health consequences. Examples include residential segregation, unfair lending practices and other barriers to home ownership and accumulating wealth, schools' dependence on local property taxes, environmental injustice, biased policing and sentencing of men and boys of color, and voter suppression policies. This article defines systemic and structural racism, using examples; explains how they damage health through many causal pathways; and suggests approaches to dismantling them. Because systemic and structural racism permeate all sectors and areas, addressing them will require mutually reinforcing actions in multiple sectors and places; acknowledging their existence is a crucial first step.

An effective lithium-ion battery (LIB) recycling infrastructure is of great importance to alleviate the concerns over the disposal of waste LIBs and the sustainability of critical elements for producing LIB components. The End-of-life (EOL) LIBs are in various sizes and shapes, which create significant challenges to automate a few unit operations (e.g., disassembly at the cell level) of the recycling process. Meanwhile, hazardous and flammable materials are contained in LIBs, posing great threats to the human exposure. Therefore, it is difficult to dismantle the LIBs safely and efficiently to recover critical materials. Automation has become a competitive solution in manufacturing world, which allows for mass production at outstanding speeds and with great repeatability or quality. It is imperative to develop automatic disassembly solution to effectively disassemble the LIBs while safeguarding human workers against the hazards environment. In this work, we demonstrate an automatic battery disassembly platform enhanced by online sensing and machine learning technologies. The computer vision is used to classify different types of batteries based on their brands and sizes. The real-time temperature data is captured from a thermal camera. A data-driven model is built to predict the cutting temperature pattern and the temperature spike can be mitigated by the close-loop control system. Furthermore, quality control is conducted using a neural network model to detect and mitigate the cutting defects. The integrated disassembly platform can realize the real-time diagnosis and closed-loop control of the cutting process to optimize the cutting quality and improve the safety.

Finding an optimal subset of nodes in a network that is able to efficiently disrupt the functioning of a corrupt or criminal organization or contain an epidemic or the spread of misinformation is a highly relevant problem of network science. In this paper, we address the generalized network-dismantling problem, which aims at finding a set of nodes whose removal from the network results in the fragmentation of the network into subcritical network components at minimal overall cost. Compared with previous formulations, we allow the costs of node removals to take arbitrary nonnegative real values, which may depend on topological properties such as node centrality or on nontopological features such as the price or protection level of a node. Interestingly, we show that nonunit costs imply a significantly different dismantling strategy. To solve this optimization problem, we propose a method which is based on the spectral properties of a node-weighted Laplacian operator and combine it with a finetuning mechanism related to the weighted vertex cover problem. The proposed method is applicable to large-scale networks with millions of nodes. It outperforms current state-of-the-art methods and opens more directions for understanding the vulnerability and robustness of complex systems.

Although the exfoliation of monolayers of materials such as transition metal dichalcogenides produces high-quality electronic materials with low defect densities, the size of the monolayers is limited to the micrometer scale. Liu et al. modified this method by creating atomically flat gold layers on polymer supports. The strong van der Waals adhesion of the gold layer allowed monolayers to be exfoliated on the centimeter scale. Multilayers could be reassembled to artificial structures, such as a MoSe 2 /WSe 2 single-crystal bilayer with a twist angle chosen to quench intralayer exciton formation. Science , this issue p. 903 A polymer-supported atomically flat gold tape exfoliated centimeter-scale monolayers of transition metal dichalcogenides. Two-dimensional materials from layered van der Waals (vdW) crystals hold great promise for electronic, optoelectronic, and quantum devices, but technological implementation will be hampered by the lack of high-throughput techniques for exfoliating single-crystal monolayers with sufficient size and high quality. Here, we report a facile method to disassemble vdW single crystals layer by layer into monolayers with near-unity yield and with dimensions limited only by bulk crystal sizes. The macroscopic monolayers are comparable in quality to microscopic monolayers from conventional Scotch tape exfoliation. The monolayers can be assembled into macroscopic artificial structures, including transition metal dichalcogenide multilayers with broken inversion symmetry and substantially enhanced nonlinear optical response. This approach takes us one step closer to mass production of macroscopic monolayers and bulk-like artificial materials with controllable properties.

Disassembly of e-waste has received significant attention over the past decades to extract value-added parts or components for recovery or reuse. It is imperative to develop automatic disassembly to replace human workers thus safeguarding them against the hazardous environment. Most scholars investigate the disassembly of e-waste from a technical perspective on laboratory scale. Few types of research related to its development track and scaled application are completed. This paper attempts to fill this gap by analyzing the disassembly of Waste Electrical and Electronic Equipment (WEEE) in a strategic perspective from manual operation, (semi)-automation to intelligent disassembly through a systematic literature review. The main barriers to automating the recycling industry lie in the high complexity and uncertainty of end-of-life (EOL) products that perplex the automatic handling and planning. Intelligent systems integrated in cognitive robots are helpful to handle the uncertainty through learning and revision processes. This work has three objectives: first, to map out what research has been carried out in the field of WEEE disassembly and the necessity for disassembly automation; second, to conduct a systematic literature review for the state of the art of automatic disassembly and discuss the barriers to its industrial application; third, to propose a perspective for integrating Industry 4.0 technologies with disassembly automation to promote flexibility and efficiency, providing a new scheme for future treatment of WEEE.

Diverse higher-order structures, foundational for supporting a network’s “meta-functions”, play a vital role in structure, functionality, and the emergence of complex dynamics. Nevertheless, the problem of dismantling them has been consistently overlooked. In this paper, we introduce the concept of dismantling higher-order structures, with the objective of disrupting not only network connectivity but also eradicating all higher-order structures in each branch, thereby ensuring thorough functional paralysis. Given the diversity and unknown specifics of higher-order structures, identifying and targeting them individually is not practical or even feasible. Fortunately, their close association with k-cores arises from their internal high connectivity. Thus, we transform higher-order structure measurement into measurements on k-cores with corresponding orders. Furthermore, we propose the Belief Propagation-guided Higher-order Dismantling (BPHD) algorithm, minimizing dismantling costs while achieving maximal disruption to connectivity and higher-order structures, ultimately converting the network into a forest. BPHD exhibits the explosive vulnerability of network higher-order structures, counterintuitively showcasing decreasing dismantling costs with increasing structural complexity. Our findings offer a novel approach for dismantling malignant networks, emphasizing the substantial challenges inherent in safeguarding against such malicious attacks.

Polymerization of actin filaments against membranes produces force for numerous cellular processes, such as migration, morphogenesis, endocytosis, phagocytosis and organelle dynamics. Consequently, aberrant actin cytoskeleton dynamics are linked to various diseases, including cancer, as well as immunological and neurological disorders. Understanding how actin filaments generate forces in cells, how force production is regulated by the interplay between actin-binding proteins and how the actin-regulatory machinery responds to mechanical load are at the heart of many cellular, developmental and pathological processes. During the past few years, our understanding of the mechanisms controlling actin filament assembly and disassembly has evolved substantially. It has also become evident that the activities of key actin-binding proteins are not regulated solely by biochemical signalling pathways, as mechanical regulation is critical for these proteins. Indeed, the architecture and dynamics of the actin cytoskeleton are directly tuned by mechanical load. Here we discuss the general mechanisms by which key actin regulators, often in synergy with each other, control actin filament assembly, disassembly, and monomer recycling. By using an updated view of actin dynamics as a framework, we discuss how the mechanics and geometry of actin networks control actin-binding proteins, and how this translates into force production in endocytosis and mesenchymal cell migration.Actin cytoskeleton underlies key cellular processes, such as membrane dynamics and cell migration. Despite years of research, how cells regulate actin filament assembly and disassembly to establish dynamic actin structures that fulfil these functions remains an exciting area of study.

Stimuli-responsive hydrogels with programmable shape changes are promising materials for soft robots, four-dimensional printing, biomedical devices and artificial intelligence systems. However, these applications require the fabrication of hydrogels with complex, heterogeneous and reconfigurable structures and customizable functions. Here we report the fabrication of hydrogel assemblies with these features by reversibly gluing hydrogel units using a photocontrolled metallopolymer adhesive. The metallopolymer adhesive firmly attached individual hydrogel units via metal–ligand coordination and polymer chain entanglement. Hydrogel assemblies containing temperature- and pH-responsive hydrogel units showed controllable shape changes and motions in response to these external stimuli. To reconfigure their structures, the hydrogel assemblies were disassembled by irradiating the metallopolymer adhesive with light; the disassembled hydrogel units were then reassembled using the metallopolymer adhesive with heating. The shape change and structure reconfiguration abilities allow us to reprogramme the functions of hydrogel assemblies. The development of reconfigurable hydrogel assemblies using reversible adhesives provides a strategy for designing intelligent materials and soft robots with user-defined functions. Although hydrogels with complex, heterogeneous and reconfigurable structures are promising materials for use in intelligent systems, fabricating such hydrogels is challenging. Now it has been shown that they can be fabricated by reversibly gluing different hydrogel units using a photocontrolled metallopolymer adhesive. This method can be used to design hydrogels with customized functions.