Industry 4.0 Technologies as Drivers of Innovation in the Automotive Industry: Experiences of China and the United States

Industry 4.0 technologies represent one of the key drivers of the contemporary transformation of the automotive industry, with manufacturing digitalization, advanced automation, and robotics significantly influencing the sector’s innovation capacity and global competitiveness. This paper analyzes the extent and characteristics of Industry 4.0 technology implementation in two technologically and industrially leading countries—China and the United States. Using a comparative analytical approach, the study examines the relationship among annual vehicle production volumes, the intensity of industrial robot adoption, and the level of integration of smart manufacturing systems. Particular emphasis is placed on robotics, including industrial and collaborative robots, as central enablers of efficiency, flexibility, and innovation in modern production processes. The analysis also encompasses the core components of Industry 4.0, such as cyber-physical systems, the Internet of Things (IoT), digital factories, artificial intelligence (AI), and digital twins, which together enable the real-time integration of humans, machines, and data. Furthermore, current trends in robotization and digital integration of manufacturing facilities are discussed through a comparison of national industrial policies, development strategies, and investment priorities. The research results indicate that China maintains an advantage in terms of absolute production volume and the number of installed robots, while the United States leads in the development of highly automated, flexible, and intelligently networked manufacturing systems. It is concluded that different approaches to the implementation of Industry 4.0 technologies shape distinct models of technological competitiveness, innovation, and long-term sustainable development in the automotive industry.

Influence and Analysis of a Viscosity-Velocity Combined Prediction Model on the Dynamic Thermodynamic Performance of Shell-and-Tube Heat Exchangers in Offshore/Coastal Marine Energy Systems

To address the lack of dynamic prediction methods for heat exchangers operating under variable-viscosity and fluctuating-flow conditions in marine integrated energy systems, this study develops a dynamic wall-temperature prediction model for a shell-and-tube heat exchanger under combined viscosity-flow conditions. The model is established over flow velocities of 0.8–1.5 m/s and kinematic viscosities of 1.45 × 10⁻⁶–1.45 × 10⁻⁵ m²/s, representing fouling-prone operating conditions relevant to seawater/sewage-source heat pump applications. The main novelty of the study lies in linking viscosity-flow combined with wall-temperature dynamics in a unified prediction framework and in quantifying the nonlinear thermal response over a practically relevant operating range. The results show that a quartic polynomial relationship with flow velocity and viscosity can describe wall temperature. A distinct dynamic response pattern is observed: under low-viscosity conditions, wall temperature exhibits pronounced multi-peak fluctuations, whereas under high-viscosity conditions, it shifts to a more stable single-peak or gently declining trend. This behavior helps clarify the physical mechanism governing wall-temperature evolution under combined transport effects. In addition, the sewage-side heat transfer coefficient increases by up to 41.3%, while the overall heat transfer coefficient increases by 18.2–20.6% over the investigated range. These findings provide a dynamic prediction tool for heat exchanger performance in seawater-source heat pump systems integrated with intermittent marine renewable energy (such as offshore wind and wave power), and further indicate that the proposed model can offer useful mechanism-level insight into the dynamic thermal behavior of fouling-prone heat exchangers, thereby supporting the design and operation of seawater/sewage-source heat pump systems integrated with intermittent marine renewable energy sources such as offshore wind power.

Correction: Song et al. Metallic Iron, (Rain)Water, and the City: A Handout for Researchers and Policymakers

Spontaneous Cell Fusion as the Mechanism of Cancer Progression and Metastasis

The mechanism of prostate cancer (PCa) progression and metastasis remains unclear. Spontaneous cancer cell fusion is one theory of etiology. This essay takes a reductionist approach to highlight spontaneous cancer cell fusion as the primary mechanism of PCa progression and metastasis. PCa cells can fuse with adjacent cancer cells or various bystander cells in the tumor microenvironment. The fate of the fusion hybrids is determined by the similarity of cell cycle timing between the fusing cancer cell and the cell being fused. A tumor cell with high proliferative activity, when fused with a non-proliferating neighbor, results in growth arrest. However, fusion with a proliferative cell may lead to abnormal hybrid cell division, causing the hybrid genome to undergo random recombination. This creates a hybrid derivative clone with a genotype and phenotype distinct from those of both the parental cancer cell and the cell being fused. The progression of tumor cell heterogeneity is dynamic, as the hybrid derivative clone can inherit the ability to fuse. Their fusion with various proliferative cells in the tumor microenvironment generates additional hybrid clones, each with a new genomic makeup and altered phenotype. The spontaneity of PCa cell fusogenicity enables an ever-changing tumor cell heterogeneity, which is the root cause of the pathological behavior of PCa progression and metastasis.

Are Marine Areas a Protection of Biodiversity or Are They Only Determined Areas for Economic Purposes? The Case of Isla Cozumel

A common issue in defining marine protected areas is the often-vague boundaries, despite widespread GPS use. Identifying conservation zones varies but generally involves assessing species diversity, with choices based on ecological or economic value—usually at the manager’s discretion. This study suggests prioritizing areas with maximum diversity, focusing on six reef groups: hard and soft corals, macroalgae, sponges, hydrozoans, and anemones. Data from photo-transects and species collections at 18 sites in Cozumel’s marine park were analysed using geostatistical Kriging to delineate zones. The results highlight the southern part of the island as the most diverse and in need of protection.

Driving Factors of Copper Surface Restructuring During Electrochemical CO₂ Reduction

Copper (Cu) is a uniquely versatile catalyst whose performance in reactions, such as the electrochemical CO₂ reduction reaction (CO₂RR) is intimately linked to the dynamic evolution of its surface under operating conditions. Rather than remaining structurally static, Cu undergoes continuous surface restructuring, forming new morphologies, facets, and defect structures that differ significantly from the as-prepared material. These transformations strongly influence catalytic activity and selectivity, yet the mechanisms governing them remain poorly understood. As a result, Cu surface restructuring has emerged as a “black box” phenomenon in electrocatalysis, marked by contradictory interpretations and a lack of predictive control. In this review, we examine six major factors proposed to drive Cu surface restructuring: (i) adsorbed hydroxyl species, (ii) applied potential, (iii) adsorbed CO intermediates, (iv) surface oxidation, (v) electrolyte composition, and (vi) current density. We discuss how each factor can modify surface energetics, atomic mobility, and local reaction environments, while emphasizing that these influences rarely act independently.

Stand Still and Die: Integrating Multi-Stakeholder Communication to Bring Fairness Back to the Autonomous Vehicle Trolley Problem

While rare, it is widely accepted that autonomous vehicles (AVs) will find themselves in dilemma scenarios involving vulnerable road users (VRUs). The ethics of these dilemma situations have been debated extensively in the context of trolley-problem-like scenarios. What has not been noted is the inherent unfairness implicit in many of these discussions, in which VRUs are seen as passive bystanders with no say in what befalls them. Rather than simply remaining still in a collision scenario, VRUs can (and often do) take action that needs to be accounted for. If we are to increase fairness on public roads, it is important that AVs communicate with VRUs. This paper presents a highly theoretical discussion on the possibility of using communication tools (such as the V2X system) and techniques (derived from the science of human-machine interaction) to support protective, risk-reducing responses from VRUs during inevitable AV collisions. The paper begins with a brief ethical exploration of fairness in the context of current debates surrounding AV collisions. We proceed to discuss possible technical solutions to AV-VRU communication, as well as the types of audio, visual, and tactile communication strategies necessary in critical scenarios.

Morphological and Genome Characterization of Alternaria alternata Causing Blueberry (Vaccinium corymbosum L.) Leaf Spot in Peru

Blueberries (Vaccinium corymbosum L.), valued for their nutritional benefits and economic significance, have become Peru’s leading agro-export crop. However, intensive cultivation can lead to phytosanitary problems if not addressed promptly, posing a serious threat to blueberry production. This study aimed to isolate and identify the causal agent of leaf spot symptoms initially observed in blueberries cultivated in Peru, marking the first formal documentation of its presence in the country. In 2022, leaf spot symptoms were recorded on V. corymbosum cv. Biloxi, in the north of Lima, Peru. Field observations revealed necrotic, sunken spots on leaves and fruits, with 4.84% of leaves diseased and 1.28% of fruits affected. Pathogen isolation and microscopic studies identified Alternaria alternata as the primary causal agent, which was confirmed by genome sequencing using Oxford Nanopore Technology. Pathogenicity tests demonstrated the fungus’ ability to reproduce symptoms identical to those observed in the field, fulfilling Koch’s postulates. Under experimental conditions, disease severity increased over time, with the affected leaf area ranging from 9.35% to 25.61% between 7 and 14 days post-inoculation. This study establishes A. alternata as a pathogen of blueberries in Peru and provides essential insights for future research and strategies to mitigate its impact on the industry.

Effects of Drying Time, Ultrasonic Vibration Intensity, and Target Powder Bed Temperature on Subsystem-Level Energy Consumption in Binder Jetting Additive Manufacturing

Reported studies regarding binder jetting additive manufacturing have investigated the effects of process parameters (e.g., drying time and ultrasonic vibration intensity) on a range of response variables. However, the effects of these process parameters on the energy consumption of binder jetting printers remain largely unexplored. This study investigates the energy consumption of a binder jetting printer experimentally, focusing on three parameters: drying time, ultrasonic vibration intensity, and target powder bed temperature. Experiments were conducted under controlled conditions designed to isolate subsystem contributions to power consumption, including drying tests without powder and ultrasonic vibration tests without powder dispensing or hopper traversal. Energy consumption was calculated based on the real-time measurements of the electric current drawn by the binder jetting printer during experiments at different drying times (1, 15, 30, 45, and 60 s), ultrasonic vibration intensities (25%, 50%, 75%, and 100%), and target powder bed temperatures (40, 60, and 80 °C). Results showed that longer drying times and higher target powder bed temperatures significantly increased energy consumption, while ultrasonic vibration intensity had a negligible effect on energy consumption. These results provide a basis for understanding energy consumption at the subsystem level, supporting future studies on subsystem-level energy optimization.

Emerging Technologies Empowering the Biosynthesis of Paclitaxel

Paclitaxel (Taxol) is a clinically important diterpenoid anticancer drug whose industrial production remains constrained by limited Taxus resources and semi-synthetic routes. Driven by the rapid advancement of genome mining and synthetic biology technologies, the past two years have witnessed substantial breakthroughs in elucidating the biosynthetic pathway of paclitaxel. The pathway constitutes an exceptionally complex biosynthetic network comprising approximately 20 enzymatic steps, predominantly catalyzed by cytochrome P450 monooxygenases, 2-oxoglutarate-dependent dioxygenases (ODDs), and acyltransferases. Nevertheless, microbial production of paclitaxel remains highly obstructed, largely due to inefficient catalytic abilities, enzyme promiscuities, and complex metabolic fluxes. This review summarizes recent progress in elucidating the evolutionary origins and catalytic mechanistic basis of the paclitaxel biosynthetic pathway, with particular emphasis on the emerging technologies and catalytic mechanism studies. Furthermore, current challenges and perspectives for constructing efficient artificial biosynthetic pathways are discussed, providing insights into the future biotechnological production of paclitaxel.