High Integration Research Articles

Maximum non-bounded difference method for overbounding Global Navigation Satellite System errors

Global Navigation Satellite Systems (GNSS) support numerous applications, including mission-critical ones that require high integrity for safe operations such as air, maritime, and land-based navigation. These applications require ensuring the upper bound of the positioning computation, including overbounding any assumptions made in positioning algorithms. One of the main assumptions in the GNSS positioning algorithm is that the error follows a Probability Density Function (PDF), widely assumed to be Gaussian. This assumption should be overbounded to ensure safety. Two mathematical definitions of distribution overbounding have been proposed: Cumulative Distribution Function (CDF) overbounding and paired overbounding. Achieving these definitions has been an open problem for the past 20 years, and to date, no methods have effectively achieved either definition in multimode datasets. This paper proposes the first overbounding method, the Maximum non-Bounded Difference (MnBD) method, capable of achieving both definitions. Its effectiveness is assessed by comparison with the combined CDF bounding and paired overbounding approach. The results show that the MnBD method successfully achieves overbounding in both real datasets and 1000 simulated multimode data, tested on Gaussian and Generalized Extreme Value (GEV) distributions. The latter demonstrates MnBD’s ability to handle asymmetric distributions. The developed approach can be utilized in overbounding the GNSS error at the system level and user level to ensure the system integrity.

Abstract A020: Enhanced cell-free RNA (cfRNA) recovery for liquid biopsy applications: Comparative analysis using controlled RNA samples for early and advanced cancer detection

Abstract Introduction: Extracting cfRNA from biological samples is crucial in liquid biopsy applications, particularly for detecting low-frequency mutations like KRAS G12V, essential for early cancer diagnosis and minimal residual disease (MRD) monitoring. Traditional cfRNA extraction methods involve multiple transfer steps, aliquoting, and pooling, leading to cfRNA loss and affecting mutation detection sensitivity and accuracy. The nRichDX Revolution cfTNA Max 20 kit, with its innovative nRicher cartridge, simplifies the extraction process by eliminating these extra steps, potentially enhancing yield and efficiency. This study evaluates the cfRNA recovery efficiency of the nRichDX kit compared to the Qiagen Circulating Total Nucleic Acid kit. Methods: Plasma samples (5 mL each) were spiked with RNA containing KRAS G12V mutation at concentrations ranging from 100 to 2 million copies, mimicking early-stage cancer detection and MRD monitoring, where low copy numbers represent early disease and high copy numbers reflect advanced cancer stages. cfRNA was extracted using the nRichDX and Qiagen kits, with each condition tested in triplicate. cfRNA recovery efficiency was assessed using quantitative reverse transcription PCR (qRT-PCR) to quantify KRAS G12V RNA copies recovered. High-sensitivity RNA ScreenTape Analysis was also used to evaluate cfRNA profile quality. Results: The nRichDX kit recovered significantly higher cfRNA yields than Qiagen across all concentrations. Recovery rates were consistent and reproducible, with over 70% of input RNA recovered, even at lower inputs (100 to 100,000 copies), where recovery rates were approximately 70-85%. High Sensitivity RNA ScreenTape Analysis showed a linear increase in 18S and 28S ribosomal peaks and high RNA Integrity Number (RIN) scores in nRichDX profiles. The ability to robustly recover low copy numbers is significant for early cancer detection and MRD monitoring. In contrast, the kit’s effectiveness in high copy number samples reflects its ability to monitor advanced cancer stages accurately. Conclusion: The nRichDX cfTNA kit demonstrates exceptional efficiency in cfRNA extraction from plasma samples across a broad dynamic range, from as few as 100 copies to as many as 2 million copies of the KRAS G12V mutation. Its versatility makes it suitable for various cancer detection and monitoring applications. The streamlined process offered by the nRicher cartridge minimizes sample handling and reduces cfRNA loss, enhancing performance. This translates to more accurate and sensitive detection of early-stage and high-burden mutations associated with advanced cancer. The high-quality profiles indicated by RNA ScreenTape Analysis further validate the reliability of the nRichDX kit, making it a valuable tool for liquid biopsy applications, with significant advantages in early cancer detection and monitoring disease progression. Citation Format: Nafiseh Jafari, Mayer Saidian, Jason Saenz, Andrew Dunnigan, Carlos Hernandez, Leila Aghili. Enhanced cell-free RNA (cfRNA) recovery for liquid biopsy applications: Comparative analysis using controlled RNA samples for early and advanced cancer detection [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr A020.

Functional Organic Electrochemical Transistor-Based Biosensors for Biomedical Applications

Organic electrochemical transistors (OECTs), as an emerging device for the development of novel biosensors, have attracted more and more attention in recent years, demonstrating their promising prospects and commercial potential. Functional OECTs have been widely applied in the field of biosensors due to their decisive advantages, such as high transconductance, easy functionalization, and high integration capability. Therefore, this review aims to provide a comprehensive summary of the most recent advances in the application of functional OECT-based biosensors in biomedicine, especially focusing on those biosensors for the detection of physiological and biochemical parameters that are critical for the health of human beings. First, the main components and basic working principles of OECTs will be briefly introduced. In the following, the strategies and key technologies for the preparation of functional OECT-based biosensors will be outlined and discussed with regard to the applications of the detection of various targets, including metabolites, ions, neurotransmitters, electrophysiological parameters, and immunological molecules. Finally, the current main issues and future development trends of functional OECT-based biosensors will be proposed and discussed. The breakthrough in functional OECT-based biosensors is believed to enable such devices to achieve higher performance, and thus, this technology could provide new insight into the future field of medical and life sciences.

Analytical Evaluation of MOSFET Secondary Effects

Abstract. MOSFET is a field effect transistor that can be used in a wide range of analog and digital circuits. It has the advantages of low power consumption, high speed and high integration. Its abbreviation is MOS. During the operation of MOS tubes, there are some secondary effects that cannot be ignored in circuit analysis and there is a research gap in analyzing and evaluating these effects. Therefore, in this paper, we will analyze and evaluate the body effect, channel length modulation effect, subthreshold conductivity effect, and short channel effect among the secondary effects by reviewing the related literature and give some methods to minimize the impact of secondary effects on circuits. In this study, the secondary effects of MOS tubes are discussed in depth. In the combing of previous related studies, the above several common secondary effects of MOS tubes are summarized and inductively analyzed, and the effects of reduced body effect and channel length modulation effect on circuits are summarized and evaluated. These results provide important theoretical support and practical guidance for MOSFET research.

Gradient Mo1−xWxSe2 monolayer alloys: Synthesis and multifunctional applications

With the continuous and rapid development of electronic information technology, the demand for new materials with miniaturization, high integration, high performance, and multifunction is becoming increasingly urgent. However, it is difficult for existing photodetectors based on a single material to achieve multi-functionality while maintaining excellent performance, and the devices based on heterostructures are faced with complex preparation and compatibility problems. In this work, gradient Mo1−xWxSe2 monolayer alloys with high crystal quality have been synthesized by an evaporation-assisted chemical vapor deposition method. The composition of the synthesized Mo1−xWxSe2 monolayer alloys varies gradually with x ranging from 0 to 1. The Mo1−xWxSe2 based photodetector shows superior photoresponse performance in the visible wavelength with maximum responsivity of 26 A/W and external quantum efficiency up to 6320 % under 520 nm laser irradiation. Besides, the Mo1−xWxSe2 device is capable of high-resolution imaging, which can be used as image sensor. Moreover, nonvolatile memory function has also been realized in the device because the band gap of Mo1−xWxSe2 can be effectively adjusted by the gradient distribution of the component and the deep energy levels caused by Se vacancies can be modulated to shallow energy levels. A thrilling discovery is that the gradient Mo1−xWxSe2 alloy device can simulate the biological synapses successfully, including paired-pulse facilitation, short-term plasticity, long-term plasticity and learning process. The realization of high-performance photodetection, visualization, nonvolatile memory and synaptic simulation based on a single gradient crystal offers a new type of material to develop advanced optoelectronic devices with multiple functions.

Thermally Deposited Pt/InSe/Nb2O5/Ag Stacked Layers Designed as Negative Capacitance Sources and Antennas for 5 G/6 G Networks

Herein, Pt/InSe/Nb2O5/Ag (ISNO) stacked layers are designed as multichannel 5 G/6 G network antennas and negative capacitance (NC) sources. The devices are fabricated using thermal deposition technique to coat Pt/InSe thin films with transparent Nb2O5 dielectric windows. While Pt thin films induce the crystallinity of InSe, the Nb2O5 layer remains amorphous. The impedance spectroscopy studies show that the Pt/InSe/Ag (IS) and (ISNO) antenna channels exhibit resonance–antiresonance peaks at driving frequencies of ≈0.4 and ≈1.1 GHz, respectively. Both the IS and ISNO antenna channels exhibit the NC effect in a wide range of frequency domain. In addition, ISNO antennas show signal transmission above 1.70 GHz with a return loss value of 28 dB and voltage standing wave ratios of 1.20. The range of frequencies over which the antenna performs well (bandwidth) extends from 1.54 to 1.80 GHz. Practical tests of one‐port and two‐port reflection/transmission using a network analyzer operative in the frequency domain of 0.01–6.0 GHz highlight the system's differing isolation and coupling characteristics at 2.43 and 6.0 GHz, respectively. The high levels of isolation at 6.0 GHz assure the suitability of the system for applications requiring minimal reverse transmission and high signal integrity. The NC effect, wide bandwidth, and high signal isolation characteristics are preferable in electronics and 5 G/6 G networks.

Leveraging artificial intelligence in economics and finance: Enhancing decision-making and market efficiency

Abstract. Artificial Intelligence (AI) has revolutionized the fields of economics and finance by providing advanced tools for decision-making, predictive analysis, and market efficiency. This paper examines the integration of AI technologies such as machine learning and natural language processing with mathematical models, specifically ARIMA for economic forecasting, Black-Scholes for option pricing, and logistic regression for credit risk assessment. By enhancing these models with AI, we demonstrate significant improvements in prediction accuracy and decision-making capabilities. Case studies illustrate a 15% improvement in GDP growth prediction accuracy, a 20% reduction in option pricing errors, and a 20% decrease in credit default rates. The paper also discusses the future prospects of AI, including advancements in quantum computing and ethical considerations like data privacy and algorithmic bias. Implementation challenges such as high costs and data integration issues are addressed, providing a comprehensive roadmap for organizations to effectively leverage AI. This study underscores the transformative potential of AI in shaping the future of economic and financial landscapes, driving innovation and operational efficiency.

Bio-inspired carbon-based artificial muscle with precise and continuous morphing capabilities

Abstract In the face of advancements in micro-robotics, intelligent control, and precision medicine, artificial muscle actuation systems must meet demands for precise control, high stability, environmental adaptability, and high integration miniaturization. Carbon materials, with their lightweight, high strength, conductivity, and flexibility, show great potential for artificial muscles. Inspired by the butterfly's proboscis, we have developed a carbon-based artificial muscle, HsGDY-M, fabricated efficiently using an emerging hydrogen-substituted graphdiyne (HsGDY) film with an asymmetrical surface structure. This muscle features reversible, rapid, and continuously adjustable deformation capabilities similar to the butterfly's proboscis, triggered by the conversion of carbon bonds. The size of the HsGDY-M can be tuned by tailoring the HsGDY film width from ∼1 cm to 100 µm. Our research demonstrates HsGDY-M's stability and adaptability, maintaining performance at temperatures as low as -25°C. This artificial muscle was successfully integrated into a robotic mechanical arm, allowing it to swiftly adjust its posture and lift objects up to 11 times its own weight. Its beneficial responsiveness is transferable, enabling the transformation of “inert” objects like copper foil into actuators via surface bonding. Since its super sensitive and rapid deformation, HsGDY-M was applied to create a real-time tracking system for human finger bending movements, achieving real-time simulation and large-hand-to-small-hand control. Our study indicates that HsGDY-M holds significant promise for advancing smart robotics and precision medicine.

Where are the cruise ships? mobility and immobility of cruises under COVID-19.

The aim of this study is to reveal the spatial-temporal characteristics and influencing factors of the static and dynamic distribution of global cruise ships, against the backdrop of the COVID-19 pandemic, which has transformed the global cruise network from "lines" to "points". This study collected trajectory data for 292 cruise ships and data for 789 cruise ports worldwide from March 2020 to July 2021. Based on the relationship between port and navigation, port management rights research, and port geography theory, we analyzed the spatial distribution and spatiotemporal migration of cruise ships with ArcGIS tools. It was found that, compared with normal times, the distribution of cruise ships in regional markets, countries, and ports showed stronger spatial agglomeration characteristics and formed four types, which were mainly influenced by differences in cruise operators' fleet scale, positioning, and itinerary. With the improvement of the epidemic, cruise ships trended to gather at the cruise home port. During the COVID-19 pandemic, there was an obvious separation between the epidemic prevention country, flag country, and operator country. Operators were inclined to berth their cruise ships in the countries where cruise ships were registered, countries of operators, and ports with high integration. Rather than simply emphasizing the static state of the cruise shipping network, the global cruise geography under the COVID-19 pandemic reflects the right relationship between ports, cruise ships, and companies. This study provides a methodological framework for analyzing the cruise shipping network at the port level and has practical implications for micro-interpretation of the dotted cruise shipping network during the COVID-19 pandemic.

USO DE ENXERTOS EM CIRURGIAS RECONSTRUTIVAS APÓS TRAUMAS GRAVES: UMA REVISÃO INTEGRATIVA

This article provides a comprehensive review of the use of grafts in reconstructive surgeries for patients with severe trauma, highlighting the differences among autologous, allogeneic, and synthetic grafts and their efficacy in specific contexts. Autologous grafts are known for their high integration rates and low immune rejection, while allogeneic and synthetic grafts expand therapeutic options, albeit with higher risks of complications. Technological advances, such as 3D bioprinting, allow for the customization of grafts, enhancing aesthetic and functional outcomes. However, these methods still face limitations, such as vascularization issues and immune rejection risks. This study emphasizes the importance of a careful and personalized selection of graft type to maximize patient quality of life and satisfaction. In conclusion, while autologous grafts remain the gold standard, the development of synthetic and bioprinted materials represents a promising frontier for reconstructive medicine.

Internally Harmonic Matched Compact GaN Power Amplifier with 78.5% PAE for 2.45 GHz Wireless Power Transfer Systems.

In this paper, a high-efficiency compact power amplifier is designed and fabricated with a 0.25 μm GaN high electron mobility transistor (HEMT) to meet the demands of a high integration level and high efficiency for microwave wireless power transfer (WPT) systems. The proposed power amplifier (PA) is implemented using an internally matched method to achieve a compact circuit size. The output second and third harmonic impedances can be optimized through output matching circuits, eliminating the need for additional harmonic matching networks. This approach simplifies the design of matching circuits and reduces the circuit size. Furthermore, the input third harmonic has been controled for improving the efficiency of DC-to-RF conversion. The total size of the proposed PA is 13.4 × 13.5 mm2. The test results obtained from the continuous wave (CW) testing indicate that the output power of the power amplifier at 2.45 GHz reaches 43.75 dBm. Additionally, the large-signal gain is measured at 15.75 dB, and the power-added efficiency (PAE) achieves a value of 78.5%.

Strain engineering for the interfacial thermal resistance of few-layer graphene with porous defects

As electronic devices continue to advance toward higher integration, thermal management issues have become a bottleneck, limiting device performance at the nanoscale. In this study, we reveal the bistable structural characteristics of circular hole defects in few-layer graphene, exhibiting both adhered and separated states, through molecular dynamics simulations. We propose a mechanical model that considers the interplay between the bending energy and cohesive energy to determine the critical size of the hole defect, at which the structure transits between the adhered and separated states. We further demonstrate that strain engineering can adjust the interfacial thermal resistance by more than fivefolds, which drives the structure transit between bistable states. The strain effect on the interfacial thermal resistance of the structure can be accurately described using analytical models. These findings illustrate that strain engineering is an effective method for precisely controlling the interfacial thermal resistance in few-layer graphene and provide new insights into possible thermal switch applications.

Switch monitoring algorithm for 220 kV terminal substation startup process based on multi time scale graph model

The switch monitoring in the startup process of 220 kV terminal substation is a dynamic and changeable process, which has obvious characteristics of diversified scales in time, so as to solve the problem of switch monitoring under multivariable and multi-scale interference. The switch monitoring framework for the startup process of 220KV terminal substation is built. The process layer uses the graphic configuration software and combines the internal and external models of the substation to build the objective function for the generation of the substation graphic model. The particle swarm optimization algorithm is used to solve it to generate the optimal substation graphic model. Through the online monitoring device, the signals such as sensors, normally open and normally closed contacts are collected in real time, and the status of the switchgear is obtained through processing, the reduced half trapezoidal cloud model multivariable multi-scale sample entropy similarity tolerance criterion is used for softening treatment, and the multivariable multi-scale cloud sample entropy is determined to achieve the extraction of multiple time scale switch fault feature vectors, which are used as the input of the SE-DSCNN fault diagnosis model. Combined with the substation diagram, the switch fault identification during the startup process of the substation is realized, and the fault switch position is located. The experimental results show that the algorithm can accurately generate the substation model, which includes all the equipment in the substation, accurately describes the connection relationship and operation status of the equipment, and has high accuracy, integrity and aesthetics; The algorithm can effectively extract and analyze the MMCES entropy characteristics of different types of switch faults; The algorithm can realize the switch monitoring during the startup of substation C, and determine the fault switch and fault location.

Advancements in Nanowire-Based Devices for Neuromorphic Computing: A Review.

Neuromorphic computing, inspired by the highly interconnected and energy-efficient way the human brain processes information, has emerged as a promising technology for post-Moore's law era. This emerging technology can emulate the structures and the functions of the human brain and is expected to overcome the fundamental limitation of the current von Neumann computing architecture. Neuromorphic devices stand out as the key components of future electronic systems, exhibiting potential in shaping the landscape of neuromorphic computing. Especially, nanowire (NW)-based neuromorphic devices, with their advantages of high integration, high-speed computing, and low power consumption, have recently emerged as candidates for neuromorphic computing technology. Here, a critical overview of the current development and relevant research in the field of NW-based neuromorphic devices are provided. Neuromorphic devices based on different NW materials are comprehensively discussed, including Ag NW-based, organic NW-based, metal oxide NW-based, and semiconductor NW-based devices. Finally, as a foresight perspective, the potentials and the challenges of these NW-based neuromorphic devices for use as future brain-like electronics are discussed.

Complexity and weak integration promote the diversity of reef fish oral jaws

Major trade-offs often manifest as axes of diversity in organismal functional systems. Overarching trade-offs may result in high trait integration and restrict the trajectory of diversification to be along a single axis. Here, we explore the diversification of the feeding mechanism in coral reef fishes to establish the role of trade-offs and complexity in a spectacular ecological radiation. We show that the primary axis of variation in the measured musculo-skeletal traits is aligned with a trade-off between mobility and force transmission, spanning species that capture prey with suction and those that bite attached prey. We found weak or no covariation between about half the traits, reflecting deviations from the trade-off axis. The dramatic trophic range found among reef fishes occurs along the primary trade-off axis, with numerous departures that use a mosaic of trait combinations to adapt the feeding mechanism to diverse challenges. We suggest that morphological evolution both along and independent of a major axis of variation is a widespread mechanism of diversification in complex systems where a global trade-off shapes major patterns of diversity. Significant additional diversity emerges as systems use weak integration and complexity to assemble functional units with many trait combinations that meet varying ecological demands.

Strategi Memikat Hati Publik; Membentuk Citra dan Opini Publik di Lembaga Pendidikan Islam

In an increasingly complex digital era, Islamic educational institutions face the challenge of building a positive image and favorable public opinion. This study aims to analyze effective strategies for shaping the image and public opinion of Islamic educational institutions, with the research questions: what is meant by building image and public opinion in the context of Islamic educational institutions, and what strategies can be implemented to foster public trust? The methodology employed is a literature review, including tool preparation and critical analysis of relevant literature. The findings indicate that building a positive image requires high integrity, quality service, trusted leadership, and the application of educational exhibitions as an effective communication medium. Six main strategies that can be implemented include honesty in communication, provision of quality services, strengthening leadership, developing human resources, applying competitive strategies, and utilizing educational exhibitions. Success in building a positive image not only enhances the institution's reputation but also contributes to increased attractiveness and public trust, enabling Islamic educational institutions to establish harmonious relationships with the community and support sustainable institutional growth. This research is expected to provide insights for the managers of Islamic educational institutions in implementing appropriate strategies.

Modeling and Validation of the Sealing Performance of High-Pressure Vane Rotary Actuator

The EHRA (Electro-Hydraulic Rotary Actuator), using a vane rotary actuator, has the advantages of a high torque density and integration and is expected to become a joint actuator for robots. This research focuses on the sealing characteristics of various parts of a vane rotary actuator. The average Reynolds equation was used to analyze the leakage characteristics at the gap. A detailed theoretical analysis was conducted on the internal leakage mechanism of a vane rotary actuator using an X-ring as the dynamic seal for the rotor vane. According to the path of internal leakage, different sealing forms are considered as a series or parallel, and the Newton iteration method is used to obtain the total internal leakage characteristics of a vane rotary actuator. It was also considered that the deformation of the vane rotary actuator caused a thicker gap, leading to an increase in internal leakage. The calculation results are consistent with the experimental data. The analysis results indicate that when estimating the internal leakage of a vane rotary actuator, it is necessary to take the pressure of the high-pressure chamber and output shaft position as inputs. This research provides a reference for an analysis of the method of internal leakage for vane rotary actuators. It provides theoretical support for designing a vane rotary actuator with more minor internal leakage and a higher volumetric efficiency.

Multifunctional integrated droplet lens based on microfluidics.

A multifunctional integrated droplet lens based on microfluidics is proposed. The lens consists of a microfluidic chip, four droplets with different properties, and transparent silicone oil. Visible-light, infrared, narrow wavelength band, and light-switching droplets can be used for imaging in the VIS-NIR (visible to near-infrared), narrow wavelength band, and blocking light, respectively. The optical focal power of the proposed lens is -134.6 D ∼ -91.62 D with visible-light droplet and -21.1 D ∼ -12.9 D with infrared droplet. When the droplet lens is used as an optical switch, the maximum optical attenuation is 251:1. It is measured that the transmitted power can be adjusted from 0.015 mW to 0.096 mW when the initial incident power is 0.776 mW. The proposed lens integrates the functions of zoom and optical attenuation. It offers important advantages in providing lightweight, high integration and shows a wide range of potential applications in microscopy systems, microfluidic systems, and variable optical attenuators.

Understanding Variation Among Medical Device Reporting Sources: A Study of the MAUDE Database

BackgroundIncreasing medical device usage raises concerns regarding unexpected, potentially life-threatening events that pose public health risks. Such events are reported to the Food and Drug Administration (FDA), and cataloged in the Manufacturer and User Facility Device Experience (MAUDE) database, a vital tool for post market surveillance that requires information of high quality and integrity, particularly concerning reporting sources. PurposeTo analyze reporting behavior among different reporters, including manufacturers, distributors, and user facilities, by examining differences in reported factors, namely: (1) device types, (2) product problem attribution, and (3) selection of Device Problem Codes (DPCs) associated with the root causes of events. MethodsData spanning from 2005 to 2022 was retrieved from the MAUDE database using Python. Reports were grouped by reporter type and divided according to device type, and the reporter's indication of association with a product problem. Furthermore, events were classified by their respective DPCs, which were manually grouped into four categories: device issues, user issues, clinical issues, or unknown. FindingsThe analysis revealed significant variations among reporters across all examined aspects (P < 0.00001 in all comparisons according to the proportion test). Manufacturers predominantly focused on infusion pumps (10.1%) and Implant, Endosseous, Root-Form (IER) devices (7.6%), with a product problem indication rate of 29.2% in their reports. Device issues codes were the most frequently observed category in their reports, comprising 36.3%, followed by unknown codes (32%) and clinical codes (19.3%). Distributors, on the other hand, primarily reported on IER devices (89%) and exhibited the lowest product problem indication rate at 2.7%. Clinical issues codes predominated in their reports, constituting 85.7%, followed by unknown codes (6.7%). User facilities concentrated on intravascular sets (4.7%), Electrosurgical, Cutting & Coagulation & Accessories (4.2%), and Ventricular (Assist) Bypass (4.1%). Remarkably, their product problem indication rate was the highest at 56.7%. They predominantly reported device issues codes (54.3%), followed by use codes (30.8%), and unknown codes (11.4%) ImplicationsThe notable variation among different reporters underscores the importance of incorporating diverse sources when analyzing the database, particularly in cases where majority of reports originate from manufacturers. Decision-makers must approach database information comprehensively, considering data sources and diverse perspectives to inform regulatory decisions effectively. Developing strategies that encourage various reporters to contribute their unique and complementary viewpoints is advisable.

Тенденции влияния «Группы семи/восьми» на глобальное климатическое управление

This article reviews the changing priorities and commitments of the Group of 7 (G7) and Group of 8 (G8) on climate change and energy security and highlights the trends of their influence on the global climate agenda. The main research method is content analysis of the groups’ documents adopted from 2005 to 2023. The study reveals that, at all stages of cooperation, the G7 endeavoured to secure commitments from emerging market and developing countries to increase their contributions to emissions reduction and accelerate the transition to a low carbon economy. As early as 2009, the advanced countries sought to prevent carbon leakages, regarding a comprehensive climate agreement in Copenhagen as a possible solution. The main principles, priorities, and tasks for attaining global energy security were defined in the 2006 leaders’ statement on global energy security and the St Petersburg action plan. The G7’s Rome and Hamburg initiatives on energy security, adopted after the G8’s suspension, in essence continued the course toward building competitive, diversified, sustainable, and low carbon energy systems, but without Russia. The new paradigm determined a different hierarchy of priorities: promotion of flexible gas markets, including more integrated liquified natural gas (LNG) markets, regulatory and public funding support of investment in energy infrastructure that cannot be built according to market rules, development of oil and natural gas resources from unconventional sources, and enhanced cooperation on critical infrastructure, transit routes, supply chains, and transport. This course was consolidated in subsequent years and entered a new stage in 2022. Since 2021, the G7 has been increasing efforts to renew the global rules and to shape new mechanisms and institutes of global climate governance. The establishment of the climate club, Just Energy Transition Partnerships (JETPs), the Partnership for Global Infrastructure Investment (PGII), adoption of the principles of high integrity carbon markets, and the setting up of new engagement and containment platforms increase the risk of a fragmentation of the established climate governance system and its gradual substitution by a new order functioning in the interests of the G7 and its allies. In view of these risks it is necessary to deepen cooperation with the BRICS+ group led by Brazil, Russia, India, China and South Africa and other emerging market and developing countries to coordinate and promote within the key multilateral institutions, including the United Nations (UN), the Group of 20 (G20), and the World Trade Organization (WTO), a concerted position on the inadmissibility of eroding the existing global climate governance system with the United Nations Framework Convention on Climate Change (UNFCCC) at its centre or the use of climate goals and regulation as protectionist and discriminative instruments, and to advance practical implementation of the principle of common but differential responsibility