Frontiers in Sustainable Development is a monthly online, international, peer-reviewed journal, dedicated to publish empirical, academic, theoretical and review research articles that contribute to the practice in sustainable development, and related topics. All articles published are rigorously and fast reviewed meeting the Journal Quality standards.
Clinical Evaluation of an Acer truncatum Seed Oil–Phosphatidylserine Complex for Neurodevelopment Support
Background: Acer truncatum seed oil is a nervonic-acid–rich botanical lipid source with theoretical relevance to myelin-oriented neurodevelopment, while phosphatidylserine (PS) is a membrane phospholipid with a substantially larger human evidence base in cognition and attention. We evaluated whether the formulation logic of an Acer truncatum seed oil–PS complex is supported by published clinical data that are relevant to neurodevelopment, attention, memory, and phospholipid-mediated brain support. Methods: We summarized the formulation architecture described in the source patent dossier and searched primary biomedical literature through March 2026 for randomized or controlled human studies involving PS, PS-omega-3 preparations, sphingomyelin-fortified milk, and related phospholipid-based neurocognitive interventions. We prioritized pediatric and neurodevelopment-relevant studies and used adult trials only when they clarified efficacy direction, dose range, or safety. Results: The clinical evidence most directly supporting the formulation is concentrated in the PS and phospholipid axis. In very-low-birth-weight infants, sphingomyelin-fortified milk improved neurobehavioural outcomes at follow-up. In children with ADHD, soy-derived PS improved ADHD symptoms and short-term auditory memory, and PS-omega-3 reduced hyperactive/impulsive symptoms while remaining well tolerated over 30 weeks. In healthy children aged 8–12 years, sunflower-derived PS was neutral in the total cohort but improved visuospatial memory in a predefined lower-performing subgroup. In older adults with memory complaints or mild cognitive impairment, PS-containing interventions improved selected memory and cognitive measures in several randomized trials. By contrast, we did not identify a published randomized human trial of the exact Acer truncatum seed oil–PS finished formulation. Conclusions: The current clinical basis for this composition rests on convergent evidence for phosphatidylserine-centered brain support rather than on a completed trial of the exact commercial-ready formulation. The combination of nervonic-acid–rich Acer truncatum seed oil with PS and phospholipid cofactors remains biologically plausible and clinically testable, particularly in populations with high myelination demand or suboptimal neurocognitive performance.
Acer Truncatum Seed Oil; Phosphatidylserine; Nervonic Acid; Neurodevelopment; Cognition; Randomized Controlled Trial; Translational Nutrition.
Copyright (c) 2026 Frontiers in Sustainable Development https://creativecommons.org/licenses/by-nc/4.0
Toward a Dynamic-Balance View of Efficiency in Regional Pension Pooling: Conceptualization, Indicator Design, and an Illustrative Case from Yingkou, China
This article develops a dynamic-balance view of efficiency for the analysis of regional pension pooling and uses the Yingkou case to illustrate its analytical value. Existing studies often assess pension performance through single financial outcomes or static input-output relations, which tends to understate the governance frictions, service quality requirements, and intertemporal sustainability constraints that characterize public pension administration. Building on the welfare-economic logic of multi-objective trade-offs, this study reconceptualizes regional pooling efficiency as the capacity of a pooling unit to maintain a coordinated and recoverable balance among cost control, benefit protection, and long-term sustainability. On this basis, an indicator framework is constructed that links outcome-oriented indicators with process-oriented indicators and further connects them to a governance chain of policy adaptation, resource integration, technological empowerment, and regulatory assurance. An illustrative application based on Liaoning Province shows that Yingkou's mean technical efficiency ranked in the middle of the provincial sample, while its principal weakness was concentrated in pure technical efficiency rather than scale efficiency. The evidence suggests that the key problem lies not simply in resource scarcity, but in the insufficient conversion of existing inputs into effective administrative outputs because of process frictions, incomplete coordination, and uneven digital support. The article contributes a usable framework for evaluating pension pooling efficiency beyond narrow revenue-expenditure indicators and offers a conceptual basis for PTE-oriented governance reform in transformation-oriented cities.
Pension Insurance; Regional Pooling Efficiency; Dynamic-balance View of Efficiency; Indicator Framework; Pure Technical Efficiency; Digital Governance.
Clinical and Translational Evaluation of a Lactobacillus Acidophilus Respiratory Mucosal Barrier Platform
Background: Respiratory mucosal resilience depends on epithelial integrity, mucosal hydration, microbiome–host communication, and local secretory IgA activity. We evaluated a disclosed BALIMONT respiratory formulation centered on Lactobacillus acidophilus together with published human evidence relevant to respiratory probiotics and mucosal immune support. Methods: We synthesized the disclosed formulation data with published randomized trials and systematic reviews on probiotics for upper respiratory outcomes, mucosal secretory IgA, and safety. We retained the disclosed comparative platform data and present the pre-existing scenario-analysis figures and tables as illustrative translational materials rather than as audited clinical trial results. Results: Published evidence suggests that probiotic effects on respiratory outcomes are strain-specific. In healthy physically active adults, Bifidobacterium animalis subsp. lactis Bl-04 reduced the risk of upper respiratory illness versus placebo (hazard ratio 0.73). In elderly adults with low physical fitness, Lactobacillus pentosus b240 given with exercise was associated with higher salivary secretory IgA secretion than placebo during follow-up. In preschool children with low fermented-food intake, heat-killed Pediococcus acidilactici K15 maintained higher salivary sIgA and shortened fever duration in subgroup analysis. A Cochrane review found that probiotics may reduce acute upper respiratory infection incidence rate and likely reduce antibiotic use, without increasing adverse events. The disclosed BALIMONT platform additionally shows strong comparative performance in respiratory epithelial adhesion, microaerobic survival, mucosal retention, and secretory IgA induction. Conclusions: On the basis of published human evidence and the disclosed formulation profile, BALIMONT has a plausible translational rationale as a respiratory mucosal barrier support platform. However, confirmation of product-specific efficacy still requires a prospectively registered, ethics-approved, source-verified clinical trial.
Respiratory Mucosal Barrier; Lactobacillus Acidophilus; Respiratory Probiotic; Secretory IgA; Gut–lung Axis; Translational Evaluation.
Magnet Design and Simulation of Nuclear Magnetic Resonance Logging Probe for Drilling Ship
Nuclear magnetic resonance (NMR) logging probe is the core component of drilling ship logging tool, and the performance of magnet directly determines the accuracy of logging data. According to the special needs of drilling ship operation, this paper puts forward the design index of nuclear magnetic resonance logging probe for drilling ship, selects samarium cobalt material as the magnet material, carries out parametric modeling simulation and structural optimization of the main magnet and pre polarized magnet by ANSYS Maxwell software, and finally determines the optimal magnet size by combining matlab analysis: the total length is 2200 mm, the main magnet is composed of eight 50mm × 50mm × 150mm arc magnets, and the pre polarized magnet is composed of eight 200mm long cylindrical magnets. The simulation results show that under the logging speed of 150~200 MGH, the pre polarization rate of the magnet is ≥ 94%, the magnetic field intensity at the detection depth of 14 cm is 177 GS, and the height of the sensitive area is 40 cm.
Drilling Vessel; Nuclear Magnetic Resonance Logging Probe; Magnet Design; Samarium Cobalt Magnet; Finite Element Simulation.
Case Analysis Report on the Bankruptcy Liquidation of Xinhua Trust Co., Ltd.
The bankruptcy liquidation case of New China Trust Co., Ltd., as the first nationwide case of a trust institution's bankruptcy liquidation, was accepted by the Chongqing No. 5 Intermediate People's Court in July 2022 due to insolvency caused by long-term poor operation. During the trial, the court and the administrator strictly adhered to the principle of the independence of trust property. By categorically disposing of 34.5 billion yuan in trust products and clarifying the compensation path for beneficiaries' losses, they balanced the interests of all parties. Meanwhile, the "government-court linkage" mechanism achieved seamless coordination between administrative takeover and judicial procedures, effectively mitigating systemic financial risks. This case systematically standardized the responsibilities of trust institution bankruptcy administrators and the disposal process of trust products, filling relevant legal gaps, and serves as a benchmark for promoting the return of the trust industry to its fundamental purpose and strengthening market-oriented and law-based risk management.
Trust Institution Bankruptcy Liquidation; Government-Court Linkage Mechanism; Independence of Trust Property.
Study on the Characteristics of a Vibration-Excited Magnetoelectric Generator
To collect environmental vibration energy for powering low-power electronic devices, a magnetoelectric vibration power generation device based on E-shaped silicon steel sheets is designed. The device consists of permanent magnets, silicon steel sheets, springs, coils and other components. Firstly, theoretical calculation formulas for the output voltage and generated power of the device are derived, illustrating the critical influence of resonance characteristics on energy harvesting efficiency. Subsequently, a two-dimensional transient simulation model is established using Ansys Maxwell software to conduct simulation analysis of magnetic circuit characteristics and output voltage. The results show that the magnetic circuit of the device features concentrated magnetic field and low magnetic flux leakage; the peak magnetic flux density inside the E-shaped silicon steel sheets reaches 2690 mT, and the peak output voltage is approximately 10 mV. Finally, an experimental platform is built to perform performance tests under frequency-sweeping excitation. The results indicate that the output voltage waveform of the device is approximately sinusoidal. The peak-to-peak induced voltage reaches a maximum of about 40 mV under low-frequency excitation of 6 Hz, and the voltage amplitude in the high-frequency band shows a downward trend as the excitation frequency increases.
Vibration Power Generation Device; Electromagnetic Type; E-shaped Silicon Steel Sheets; Simulation Analysis.
Clinical Evaluation of the NVTIA Multi-Component Cartilage-Repair Synovitis Composition
Background: Oral joint-support products are widely used in synovitis and early cartilage degeneration, but their clinical differentiation often depends less on ingredient presence than on formulation logic. In this study, we evaluated a four-component oral system containing glucosamine hydrochloride (Glc HCl), chondroitin sulfate (CS), methylsulfonylmethane (MSM), and graded molecular weight sodium hyaluronate (HA), and we matched its internal performance dataset with published randomized human trials relevant to each design pillar. Methods: We summarized the formulation architecture and internal comparator results, then searched public biomedical sources through March 2026 for controlled human studies on glucosamine, chondroitin, MSM, and oral hyaluronic acid in knee osteoarthritis or synovitis-related symptom settings. Results: The internal dataset consistently ranked the complete four-component architecture above the simplified comparator across mixing uniformity, effusion resolution, cartilage-repair effect, utilization efficiency, and overall therapeutic effect. Published trials showed that adding MSM to glucosamine-chondroitin improved WOMAC and VAS outcomes by week 12 in mild knee osteoarthritis, that oral HA-containing regimens improved WOMAC domains in selected mild-pain populations, and that broad-spectrum oral sodium hyaluronate could reduce pain scores and rescue-drug use over 8 weeks. Balanced evidence also showed that glucosamine-chondroitin was neutral in the overall GAIT population but beneficial in a moderate-to-severe pain subgroup, while another short-term HA-glucosamine-chondroitin study in moderate pain did not show superiority over placebo. Conclusions: We found a coherent translational rationale for the NVTIA architecture: Glc HCl and CS support matrix biology, MSM strengthens symptom control, and graded HA improves synovial-environment relevance. Direct prospective validation of the exact formulation remains the next decisive step.
Synovitis; Cartilage Repair; Glucosamine Hydrochloride; Chondroitin Sulfate; MSM; Sodium Hyaluronate; WOMAC; VAS; Oral Hyaluronic Acid.
Research on the Application and Development of Robotics Technology in Smart Healthcare
With the rapid development of artificial intelligence and automation technologies, medical robots have become an important component of the intelligent healthcare system. Leveraging their advantages of high precision, high efficiency, and strong stability, they are gradually permeating various aspects of medical services, effectively promoting the intelligent and refined development of smart healthcare. This paper starts from the classification and core technological characteristics of medical robots, systematically analyzes their practical application models in typical scenarios such as clinical diagnosis and treatment, rehabilitation care, hospital logistics, and disinfection and epidemic prevention, and thoroughly explores the current issues in the implementation of medical robots, including cost, operation, safety, intelligence, and coordination. Furthermore, it proposes targeted development suggestions in terms of technological optimization, cost control, safety regulations, talent training, and system integration. Adhering strictly to a purely theoretical research paradigm, this paper does not involve any experimental data, code implementation, or empirical analysis. It aims to provide theoretical references and practical insights for the further promotion and application of medical robots in the field of smart healthcare, contributing to the improvement and development of intelligent healthcare systems.
Medical Robots; Intelligent Healthcare; Clinical Applications; Rehabilitation Robots; Practical Applications.
Analysis of the Current Situation and Sources of ARG Pollution in the Seawater of Dapeng, Shenzhen
Antibiotics are the cornerstone of modern medicine and aquaculture, but their extensive use has triggered a global antibiotic resistance crisis. Antibiotic resistance genes (ARGs), as "novel environmental pollutants", can persistently exist and horizontally transfer among water-sediment-organisms, and re-threaten humans through the food chain. The ocean is the ultimate sink for land-based ARGs. However, the pollution baseline, key sources, and ecological driving mechanisms of ARGs in highly urbanized bays in China remain unclear. This study targeted the Dapeng Peninsula in Shenzhen, spanning multiple gradients of aquaculture-tourism-ecology. In August 2025, samples were collected from the Offshore area of Dapeng Bay in Shenzhen based on coordinates and distance. By integrating water quality detection indicators, 16S sequencing, and RT-qPCR in situ expression, the abundance, diversity, hosts, and sources of ARGs were systematically analyzed. The results showed that: 1) Seawater aquaculture discharge was the largest contributor to surface seawater ARGs (62.3%) , followed by urban sewage; 2) The total abundance of ARGs was significantly positively correlated with PO₄³⁻, COD, and antibiotic residues, while dissolved oxygen was not the core factor driving the abundance of aerobic resistance genes (such as FabG, AdeG, ant), and there might be a dominant role of other pollution factors (such as antibiotic residues, organic matter); 3) High-risk mobile ARGs including sul1, floR, cmlA, and ermB were enriched 15 to 120 times downstream of the aquaculture outlet, and their in situ transcriptional activity significantly increased; 4) The dominant hosts of ARGs were Proteobacteria (Altererythrobacter, Erythrobacter, Rhodobacteraceae, and Acinetobacter) and Bacteroidia, among which seven genera contained potential human pathogenic bacteria. This study finely resolves the ARG source contributions in Dapeng Bay for the first time and clearly traces the leading role of aquaculture discharge, providing a scientific basis for precise control of antibiotic resistance genes in the coastal zone of the Guangdong-Hong Kong-Macao Greater Bay Area.
Antibiotic Resistance Genes; Mariculture; Urban Sewage; Coastal Pollution.
Clinical Evidence for a BALIMONT Multi-Strain Oral Probiotic Composition in Enhancing Skin Radiance
We evaluated a BALIMONT multi-strain oral probiotic composition for improvement of visible skin radiance and interpreted the 28-day cohort findings against published human clinical trials of oral probiotics and synbiotics relevant to skin appearance. In our 28-day comparative evaluation, healthy adults aged 20-45 years with dull or lackluster skin received one of three multi-strain formulations or a single-strain L. reuteri comparator, with 30 participants in each cohort. At day 28, mean radiance improvement reached 14.2%, 10.8%, and 11.5% in the three multi-strain cohorts, versus 2.7% in the single-strain comparator, while Shannon diversity increased by 22.6%, 18.3%, and 19.1% versus 5.2%, respectively. Public human studies show that oral probiotics can improve hydration, gloss, elasticity, barrier recovery, and selected inflammatory or appearance-related endpoints in healthy skin, sensitive skin, acne, and atopic dermatitis. Taken together, our 28-day findings are directionally concordant with the broader literature and support larger, prospectively registered confirmatory trials of multi-strain oral probiotic strategies for skin-radiance support.
BALIMONT; Probiotic; Skin Radiance; Gut-skin Axis; Lactobacillus Reuteri; Lactobacillus Rhamnosus; Lactobacillus Plantarum; Clinical Evidence.
Who Benefits More from E-commerce? Resource-Endowment Heterogeneity in Grape Growers' Behavioral Upgrading in Yingkou City, Liaoning Province
Using survey data from 386 grape growers in Yingkou City, this article examines whether the behavioral effects of e-commerce participation vary across households with different resource endowments. Rather than treating digital participation as a uniformly empowering force, the study asks who is more likely to convert platform access into substantive behavioral upgrading in production, marketing, and technology adoption. Hierarchical regression models are used to test the moderating roles of household head age, planting scale, and household human capital in the relationship between e-commerce participation and three behavioral outcomes: standardized production behavior, diversified marketing behavior, and green technology adoption. The results show clear heterogeneity. Age weakens the positive behavioral effect of e-commerce, with interaction coefficients of -0.156, -0.163, and -0.151 across the three outcomes. By contrast, planting scale strengthens the behavioral effect, with coefficients of 0.172, 0.185, and 0.168, while household human capital generates the strongest positive moderation, with coefficients of 0.189, 0.201, and 0.182. Diversified marketing behavior exhibits the largest interaction responses overall, indicating that digital participation is especially sensitive to differences in learning capacity, scale economy, and intra-household capability structure when sales channels and customer relations are being reorganized. The article argues that rural e-commerce should be understood not only as a channel innovation, but also as a selective amplifier whose benefits depend on age structure, operational scale, and household capability. Policy support therefore needs to shift from broad encouragement of platform entry to stratified support for different farmer groups.
Rural E-commerce; Grape Growers; Heterogeneity Effect; Planting Scale; Household Human Capital.
Clinical Evaluation of a Time-Sequential Biphasic NMN–Resveratrol–Quercetin–Piperine NAD+ Supplement Targeting SIRT1 (BCLC™)
Background: Time-sequential biphasic NAD+ formulations are designed to solve the temporal mismatch, poor dissolution, and exposure instability that often limit conventional NMN combinations. We examined a five-component BCLC™ formulation containing NMN, trans-resveratrol, quercetin, piperine, and trimethylglycine, preserved its original patent-reported benchmark data, and matched those data with published human clinical trials. Methods: We retained the original formulation specifications, dissolution and stability results, and in-vitro SIRT1-related benchmarks reported in the source document, then searched PubMed, PubMed Central, and clinical-trial records through March 28, 2026 for adult interventional studies involving NMN, resveratrol, quercetin, or piperine that were relevant to NAD+, SIRT1, insulin sensitivity, oxidative stress, physical function, or bioavailability. Results: In the patent dataset, the leading embodiments achieved 4.1–5.5-fold SIRT1 pathway activation, 95.6–98.8% nicotinamide clearance, at least 36–48 h intracellular NAD+ maintenance, rapid polyphenol dissolution, 97.8–98.5% three-month retention, and material loss no higher than 3.5%. In published human studies, NMN at 250–900 mg/day consistently increased circulating NAD+ and improved selected metabolic or functional outcomes in several cohorts, although one 24-week trial in older men with diabetes showed neutral performance results. Resveratrol increased skeletal muscle SIRT1 or oxidative-stress resilience in type 2 diabetes cohorts in several randomized trials, but long-duration metabolic endpoints remained heterogeneous. Quercetin reduced hs-TNFα, symptom burden, or antioxidant deficits in randomized studies, while piperine showed clinically relevant exposure-enhancing or bioefficacy-modulating effects, albeit with mixed pharmacokinetic findings in resveratrol studies. Conclusions: When we align the published clinical evidence with the original formulation architecture, the biphasic system appears biologically coherent and clinically plausible. The strongest current human support centers on NAD+ restoration, redox control, inflammatory symptom reduction, and exposure modulation, which together justify formal randomized evaluation of the full formulation.
NMN; NAD+; SIRT1; Resveratrol; Quercetin; Piperine; Biphasic Release; Insulin Sensitivity; Oxidative Stress; Clinical Trial.
Artificial Intelligence, Green Transformation and New Productivity
First, this paper delves into the intrinsic relationship between artificial intelligence (AI) and green transformation. Given the AI composition fallacy proposed by Fang Yi et al. (2020), the AI-induced financial fraud phenomenon revealed by Chai Yanming et al. (2024), and the corporate "greenwashing" tendency discovered by Xie Haijuan et al. (2024), the relationship between the two needs to be re-examined and scientifically defined. Second, this paper systematically analyzes the intrinsic mechanisms of AI and green transformation, explaining how they synergistically promote the development of new productive forces, and conducts theoretical analysis and model construction. Finally, it proposes targeted policy recommendations, exploring how to optimize the development path of AI and green transformation to maximize synergistic effects and contribute to the development of new productive forces.
Artificial Intelligence; New Productivity; Greenwashing.
Efficiency Measurement and Influencing Factors of Green and Low-carbon Development in Agriculture and Rural Areas of China
Under the dual background of China's "dual carbon" goal and rural revitalization strategy, this paper takes 31 provincial-level regions as samples, uses Super-SBM-DEA model to measure the green and low-carbon development efficiency of agriculture and rural areas from 2012 to 2022, and adopts Spatial Durbin Model to explore influencing factors. The results show that the overall efficiency rises steadily but regional differences are prominent, with a "northeast and central high, eastern and western low" pattern and significant positive spatial autocorrelation. Rural income, irrigation efficiency and tech investment boost efficiency, while industrial upgrading and excessive mechanization inhibit it. Finally, targeted optimization countermeasures are proposed.
Agriculture and Rural Areas; Green and Low-Carbon Development; Efficiency Measurement; Spatial Spillover Effect.
Recognizing the City on Screen: City Mindscape, City Selection, and City Recognition
This article proposes a framework for understanding how spectators recognize cities in films by theorizing the relationship between city mindscape, city selection, and city recognition. Building on Kevin Lynch’s notion of the “image of the city” and research on cognitive mapping, the article distinguishes experience-based “city images” from media-based “city illusions,” and unifies them as a “city mindscape” – the composite mental landscape through which viewers perceive and remember urban space. On the production side, it introduces “city selection” to describe how filmmakers’ sample, weight, and arrange urban elements through seven layers: spatial and temporal sampling, semantic choice, kinetic orchestration, photometric and chromatic design, sound, and editing. City recognition is defined as the moment when these organized selections align with viewers’ prior mindscapes, generating a sense of urban identity that depends less on cartographic fidelity than on rhythmic, textural, and narrative plausibility. Methodologically, the article combines theory-driven modeling with close scene analysis. A case study of Hong Kong in Wong Kar-wai’s Fallen Angels (1995) demonstrates how nocturnal lighting schemes, textures, recurrent spatial anchors, and a characteristic sonic rhythm render the city recognizable even in the absence of explicit landmarks or expository dialogue. The study proposes a portable analytic kit for decomposing cinematic cities into manipulable modules and tracing how films both reflect and reshape public understandings of urban space. It concludes by arguing that city recognition can serve as an interpretive key for analyzing narrative space, while also warning against the stabilization of clichéd urban imaginaries.
Cinematic City; City Mindscape; City Selection; City Recognition; Hong Kong; Urban Space on Screen.
How Does Government Ecological Concern Influence Corporate Green Technology Linkage Networks?
This study employs text analysis to construct a dataset reflecting the ecological concerns of local governments. Using A-share listed companies on the Shanghai and Shenzhen stock exchanges from 2007 to 2022 as the sample, it examines the relationship between government ecological concerns and corporate green technology association networks through social network analysis (SNA). Empirical findings reveal that government ecological concern enhances the position of firms within green technology association networks. Results remain stable after rigorous testing to assess robustness and endogeneity. Mechanism analysis indicates that social networks among listed company directors and distortions in corporate capital allocation weaken the enhancing effect of government ecological concern on green technology association networks. Our findings offer new insights into how government ecological concern influences corporate social relationship networks.
Government Environmental Attention; Green IT; Government Annual Reports; Environmental Pollution.
Research on the Mechanism for Enhancing the Value of Regional Public Brands of Agricultural Products under the Background of "Digital Intelligence Empowerment"
Against the backdrop of the in-depth advancement of rural revitalization, "brand-driven agriculture," and the Digital China strategy, regional public brands of agricultural products have become an important tool for driving agricultural efficiency, increasing farmers' income, and upgrading rural industries. However, overall, most regional public brands still have significant shortcomings in brand awareness, consumer trust, pricing power, and multi-channel communication efficiency. The mechanism between the level of digital application and brand value enhancement also needs to be systematically analyzed. This paper, based on an analysis of the value composition of regional public brands of agricultural products, constructs an analytical framework from the dimensions of brand awareness, brand trust, brand loyalty, and brand premium. It focuses on exploring the empowerment paths of digital technologies such as big data, blockchain traceability, short videos and live-streaming e-commerce, and social media operations . Combining typical regional public brand practices, it analyzes the specific models and practical effects of digital empowerment, and then summarizes the brand value enhancement mechanism and proposes targeted strategic suggestions. Research indicates that digital technologies , by enhancing brand information reach and recognition, improving quality and safety visibility and trustworthiness, and strengthening interactive experiences and user engagement, can help create a virtuous cycle of "brand image-consumer recognition-market premium." The combination of government-led public brand digital platforms and professional market-based operations is currently a relatively effective model for digital empowerment . However, brand value enhancement remains constrained by factors such as weak grassroots digital infrastructure, inadequate collaborative mechanisms, and a shortage of professional talent. Based on this, this paper offers corresponding insights from the perspectives of local governments and brand operators, emphasizing the need to improve the supply of public digital platforms and systems, and optimize digital operational capabilities and content supply systems to better unleash the comprehensive value of regional public brands for agricultural products in the process of digital villages and rural revitalization.
Regional Public Brand for Agricultural Products; Digital Empowerment; Brand Value; Digital Village; Rural Revitalization.
Research on the Impact of Industrial Park Policies on Urban Carbon Emissions and Regional Spillover Effects based on the "Dual Carbon" Goal Taking the Yangtze River Delta Urban Agglomeration as an Example
This study takes the Yangtze River Delta urban agglomeration as a sample to evaluate the direct and spatial spillover effects of low-carbon industrial park pilot policies on urban carbon emissions. Theoretical analysis shows that policies suppress local carbon emissions through pathways such as technological progress, green investment, and industrial agglomeration; At the spatial level, there are spatial spillover characteristics that can be driven by technology diffusion to reduce emissions in the surrounding areas. The effectiveness of policies varies among cities and is influenced by administrative levels and resource endowments. This study provides policy optimization basis for regional collaborative governance under the "dual carbon" goal.
Low Carbon Industrial Park; Carbon Emissions; Spatial Spillover Effect; Yangtze River Delta Urban Agglomeration.
Asymmetric Effects of OFDI Supply Chain Spillovers in an Open Economy: An Empirical Study on the Upstream and Downstream Transmission Mechanisms of Digital Technological Innovation in Local Enterprises
Against the backdrop of the digital economy and high-level opening-up, this study uses A-share listed companies (2007–2024) to explore OFDI supply chain spillovers’ impact on domestic enterprises’ digital technology innovation via the two-way fixed-effects model and related tests. Results show significant bidirectional heterogeneous effects: downstream customers’ OFDI promotes innovation through knowledge spillovers (mediated by technology imports, etc.), while upstream suppliers’ OFDI inhibits it via knowledge monopolization (mediated by patent barriers, etc.), validating spillover asymmetry. Robustness tests confirm reliability. This study offers theoretical/practical references for enterprises, governments, and industrial chains, and points out limitations in samples, variable measurement, and mechanism exploration, guiding future research.
OFDI Supply Chain Spillovers; Domestic Enterprises; Digital Technology Innovation; Heterogeneous Impact; Mediating Mechanism; Two-way Fixed-effects Model.
Study on the Path to Enhance Financial Demand for Elderly Care Services in Chinese Families from the Perspective of Intergenerational Wealth Transfer
With the accelerating aging of the population and the rise of pension finance to a national strategy, effectively improving the financial demand for family-based elderly care services has become a crucial issue that urgently needs to be addressed. This paper, from the perspective of intergenerational wealth transfer, comprehensively utilizes intergenerational transfer theory and, based on the 2022-2023 China Inter-Sectoral Financial Flow Matrix (SBYS) data, systematically analyzes the financial asset and liability structure and intergenerational capital flow characteristics of the household sector. Combining existing micro-level empirical research findings, it explores the impact mechanism and improvement path of intergenerational wealth transfer on the financial demand for elderly care services. The study finds that intergenerational transfer of family wealth profoundly influences the income level, employment decisions, and savings behavior of the next generation through channels such as human capital investment, direct gifts, and inheritance, thereby shaping the family's demand for pension financial products. Macroeconomic capital flow data shows that household financial investment continues to expand, with the proportion of pension reserve assets, mainly deposits and insurance reserves, increasing. However, intergenerational capital flows are still dominated by indirect financial intermediaries, and direct intergenerational transfer tools need further development. Based on this, this paper proposes multiple approaches, including improving the pension system, innovating intergenerational wealth transfer financial products, promoting the inclusiveness of digital finance, and strengthening social network support, to promote a positive interaction between intergenerational wealth transfer and the financial needs of elderly care services.
Intergenerational Wealth Transfer; Elderly Care Financial Services; Family Finance; Social Accounting Matrix; Improvement Path.
Research on the Economic Effects and Cross-Sectoral Equilibrium Mechanism of Gradual Delayed Retirement Policy
Faced with the rapidly advancing trend of deep aging and the structural contradiction of a continuously shrinking labor supply in my country, the gradual delayed retirement policy has become a key institutional arrangement for alleviating labor shortages and enhancing the sustainability of the pension system. However, the economic effects of this policy do not evolve linearly, but rather form a cross-sectoral feedback mechanism between the labor market and the pension fund system, with complex impact paths, effect distributions, and policy costs. Existing research mostly explores the effects of delayed retirement from a single perspective, but lacks a systematic explanation of the interaction mechanism between changes in labor supply and the balance of pension fund revenue and expenditure. Based on this, this paper analyzes the dynamic impact of gradual delayed retirement on the operation of the labor market from the micro-mechanisms of labor supply structure, employment participation rate, wage changes, and enterprise employment behavior; at the same time, it constructs a pension fund revenue and expenditure structure model to explore the moderating effect of delayed retirement on the sustainability of the fund through the chain of effects of increased contributors, decreased recipients, and improved dependency ratio. On this basis, this paper further constructs a cross-sectoral equilibrium mechanism framework between the labor market and the pension system, revealing the positive and negative feedback relationships formed between the delayed retirement policy and the two subsystems. Studies show that gradual delayed retirement can generally expand the effective labor supply and reduce pension payment pressure. However, the impact varies significantly among different age groups, gender groups, and occupational types, exhibiting phased and structural characteristics in its policy effects. To improve policy feasibility and social equity, this paper proposes simultaneously advancing the construction of a vocational training system, improving differentiated retirement arrangements, enhancing the flexibility of the pension system, and strengthening policy communication mechanisms to achieve a balance between economic sustainability and social acceptance in gradual delayed retirement reform.
Gradual Delayed Retirement; Labor Supply; Pension Sustainability; Economic Effects; Cross-Sectoral Equilibrium Mechanism.
Research on the Farmer Financing Model of Live Streaming E-Commerce Platforms from the Perspective of Supply Chain Finance
In the era of deep integration between the rural revitalization strategy and the digital economy, effectively addressing the financing difficulties of farmers has become a core measure to stimulate the endogenous driving force of the rural economy and promote quality improvement and efficiency enhancement in rural development. Based on the unique perspective of the collaborative integration of supply chain finance and live-streaming e-commerce, this paper selects the "Hui Xing" live-streaming e-commerce platform as a typical analysis sample to deeply explore the specific operational modes and implementation paths of farmer financing in the live-streaming e-commerce scenario. Firstly, it comprehensively reviews the current academic research on the innovative application of supply chain finance, the promotion of live-streaming e-commerce in assisting agricultural practices, and the optimization of farmer financing models, clarifying the strengths and weaknesses of existing research. Secondly, it systematically explains the inherent action logic and operational mechanism of supply chain finance in empowering farmer financing in the live-streaming e-commerce scenario. Thirdly, from five core dimensions: convenience of financing access, financing capital cost, risk control ability, subjective satisfaction of farmers, and industrial radiation and driving effect, a comprehensive evaluation index system for farmer financing effects is constructed, and the CRITIC weight method is used to scientifically calculate the weights of each index. Furthermore, using a two-way fixed effects model, mediation effect model, and panel threshold model, the direct impact effect, indirect transmission path, and nonlinear moderating effect of supply chain finance on farmer financing are empirically tested. The research results show that both the degree of participation of supply chain finance and the development level of live-streaming e-commerce can significantly improve the availability of farmer financing. The depth of digital technology application and supply chain collaboration efficiency play a partial mediating role in the process of influencing farmer financing, while digital economic infrastructure exhibits a nonlinear moderating effect based on threshold values. The research conclusions of this paper can provide solid theoretical support and feasible practical references for optimizing the farmer financing service model of live-streaming e-commerce platforms, addressing the financing difficulties of farmers, and facilitating the high-quality development of rural industries.
Supply Chain Finance; Live Streaming E-commerce; Farmer Financing;
Research on the Interlayer Interference Law of Multi-layer Combined Mining in Low-permeability Gas Reservoirs
This paper focuses on the interlayer interference problem in multi-layer combined production of low-permeability gas reservoirs and studies the productivity laws of different lithologic combinations through physical simulation experiments. Three sets of single-layer and two sets of double-layer combined mining experiments were carried out on the sandstone cores of Qian 5 and He 4 and the 8+9# coal seam, and the gas production dynamics were systematically monitored. The results show that in the combined production system, the high-permeability layer significantly suppresses the medium and low-permeability layers, presenting the characteristics of "off-peak gas production" and production lag. The low-permeability layer was most disturbed. The gas production rates of the fourth layer of the double-layer combined mining middle box and the coal seam decreased by 14.02% and 32.27% respectively. The overall production capacity of the system has suffered a coordinated loss. The cumulative gas production of double-layer combined mining has decreased by 7.59% to 22.56% compared with the theoretical value of single mining. Mechanism analysis indicates that the high permeability layer dominates the bottom hole flow pressure system, resulting in insufficient effective production pressure difference in the medium and low permeability layers. The research results provide an important theoretical basis for the optimization of combined production in low-permeability gas reservoirs.
Low Permeability Gas Reservoir; Coal Bed Gas; Commingling Production; Interlayer Interference.
Advances and Frontiers in Sedimentology Research
In the past three years, sedimentology has witnessed multi-dimensional breakthroughs in theoretical paradigms, technical methods, and application fields. The theoretical framework centered on the "source - sink - transport" system has been further refined, and key progress has been made in the research of deep-water sedimentary processes, the formation and storage mechanisms of deep and ultra-deep carbonate rocks, and fine-grained sedimentary systems. The deep integration of high-precision chronology, high-resolution geophysical exploration, and artificial intelligence technologies has facilitated a leap from qualitative description to quantitative forward modeling of sedimentary processes. Meanwhile, the cross-fusion of sedimentology with global change, planetary geology, and unconventional energy exploration has deepened, forming a new understanding of "sedimentary sphere science". This article systematically reviews the core progress in these areas, focusing on the expansion of the source-sink system, the innovation of deep-water sedimentary dynamic mechanisms, the microscopic breakthroughs in carbonate rocks and fine-grained sediments, and the intelligent transformation of technical methods. It also looks forward to the future development direction of the discipline, aiming to provide references for theoretical innovation and resource and environmental applications in sedimentology.
Sedimentology; Source-Transport-Sink System; Deep-Water Sedimentation; Deep Carbonate Rocks; Fine-Grained Sedimentation; Artificial Intelligence; Sedimentary Sphere Science.
Study on the Role of Environmental Courts in Improving Ecological Welfare Performance
Ecological welfare performance is a core indicator for measuring the effectiveness of ecological civilization construction and the improvement of people's well-being. Its improvement depends on sound institutional guarantees and effective governance measures. Environmental courts, as the core carrier of specialized environmental justice, provide solid judicial support for improving ecological welfare performance by regulating environmental violations, strengthening ecological damage restoration, and clarifying environmental responsibility. This paper systematically reviews relevant domestic and international research on the establishment of environmental courts, the evaluation of ecological welfare performance, and the relationship between the two. It focuses on summarizing the mechanisms and research methods by which environmental courts influence ecological welfare performance, analyzes current research hotspots, controversies, and shortcomings, and finally proposes targeted policy recommendations based on existing research conclusions, providing reference and guidance for further research and the optimization of environmental court practice.
Environmental Courts; Ecological Welfare Performance; Environmental Justice; Ecological Damage Restoration; Environmental Governance.
A Review of Studies on Charging Station Site Selection
With the acceleration of the global energy transition and the rapid growth in the number of electric vehicles, the rational deployment of charging infrastructure has become a key bottleneck constraining the further development of the electric vehicle industry. As a complex systemic endeavor, the site selection for charging stations not only affects user experience and operational efficiency but also impacts the energy supply efficiency of transportation systems and the stable operation of urban power grids. This paper aims to provide a systematic review of recent research progress on the issue of charging station site selection.
Charging Station; Site Selection; Overview.
Theoretical Innovation of the Overseas Military Base Regime from the Perspective of the Four Global Initiatives
Alliance is the theoretical cornerstone of the traditional overseas military base regime. The alliance theory holds that the countries involved in overseas military bases should build a base system focusing on addressing traditional security threats based on a common enemy or a hypothetical enemy. With the continuous advancement of international socialization, the traditional overseas military base regime is difficult to cope with the emerging non-traditional security threats. Based on the examination of the overseas military base regime theories under the perspectives of realism, liberal institutionalism and constructivism, this paper argues that taking the "Four Global Initiatives" as the guiding concept for constructing the overseas military base regime can improve the overseas military base regime.
Overseas Military Bases; “Four Global Initiatives”; Alliance; Constructivism.
Advances in Horizontal Well Engineering and Equipment for Low-Permeability Tight Reservoirs
In order to stabilize domestic energy supply and reduce external dependence, the development of low-permeability tight oil reservoirs is the focus of oil and gas field exploration and development in China. Low permeability tight reservoirs usually have the characteristics of high reserves of geological exploration resources, poor physical properties and complex oil-water relationship. These characteristics restrict the development of low permeability tight reservoirs in China. In recent years, due to the maturity of drilling technology, development technology and stimulation technology, as well as the innovation and development of oil field machinery, the low permeability tight oil reservoirs which were difficult to exploit in the past have been effectively developed, so that the utilization rate of resources and the supply capacity of oil have been greatly improved. This paper mainly introduces the development and frontier of horizontal well technology, multi-branch well technology, advanced water injection technology, hydraulic fracturing technology, engineering and equipment development in the development of low-permeability tight reservoirs.
Low-permeability Tight Reservoir; Horizontal Well; Multilateral Well; Advanced Water Injection; Multi-stage Fracturing.
Analysis Report on the Shanghai "11.15" Jing'an High-Rise Residential Building Fire
The devastating fire at No. 728 Jiaozhou Road, Jing'an District, Shanghai on November 15, 2010 , caused immense loss of life and property damage, revealing a complex network of liability involving multiple stakeholders and various types of insurance. This paper takes this accident as a starting point, focusing on two core areas: community comprehensive insurance and commercial life insurance. It delves into controversies surrounding community comprehensive insurance, such as compensation limits, burden of proof allocation, and applicable payment rules. It also examines core issues in life insurance, including the determination of insurable interest, time limits for claims in special circumstances, and overlapping compensation under multiple policies. Legal analysis is provided in conjunction with the Insurance Law and related jurisprudence. Finally, corresponding solutions are proposed to address various legal issues, offering a reference for the standardized handling of insurance claims in major disasters and contributing to the full realization of insurance protection functions.
Jiaozhou Road Fire; Community Comprehensive Insurance; Personal Insurance; Insurance Claims; Legal Improvement Path.
Exploration on the Treatment of Aquaculture Wastewater Using Biological Filter Technology
The wastewater discharged from aquaculture industry continues to grow in China. Studies on ecological treatment technologies for solving aquaculture wastewater are urgent. This paper analyzes the water quality characteristics of recirculating aquaculture systems and constructs a three-stage aerated biological filter comprising “fiber filter media+ceramic particles+zeolite”. This study investigated the treatment effect of this process on wastewater from recirculating aquaculture systems, providing technical support for the application and promotion of recirculating aquaculture treatment systems.
Biological Filter; Aquaculture Wastewater; Recirculating Aquaculture System; Nitrogen Utilization Efficiency.