Search Results (94)

Located in the northeastern Tibetan Plateau, the Qaidam Basin hosts abundant strategic lithium (Li) and boron (B) salt lake resources crucial for national resource security. Existing studies focus on individual lakes, lacking systematic Li-B geochemical and source–transport–sink research across the geothermal–river–lake system. Based on 40 water samples from 16 lakes and multi-isotope and hydrochemical data, this study explores Li-B spatial distribution, isotopic evolution and enrichment rules. The results reveal prominent spatial heterogeneity of Li and B distributions. The contents of riverine Li and B are higher than the global average level, and terminal salt lakes show the highest enrichment degree. Specifically, southern lakes are Li-dominant, while northern lakes are B-dominant, with both reaching industrial exploitation grades. Significant Li and B isotopic fractionation occurs throughout the hydrological system, with geothermal fluids presenting depleted isotopic compositions and lake waters showing enriched features. H-O isotopic evidence and Gibbs diagram analysis indicate that surface waters in the basin are primarily recharged by atmospheric precipitation, and their hydrochemical compositions are jointly controlled by rock weathering and strong evaporative concentration, accompanied by distinct north–south hydrogeological zonation differences. Source analysis demonstrates that Li is mainly derived from high-temperature water–rock interactions of Li-rich volcanic and granitic rocks in the southern East Kunlun Mountains, whereas B originates from ultrahigh-pressure B-rich metamorphic rocks along the northern North Qaidam margin. The migration and accumulation sequence of Li and B follows the pathway: geothermal fluid emission → fluvial transportation → terminal lake enrichment. Evaporation and mineral precipitation are the dominant factors controlling elemental enrichment and isotopic fractionation. This basin-wide study supplements salt lake critical mineral metallogenic theories and guides efficient Li-B exploration and sustainable development. Full article

Natural lithium-bearing brines are gaining strategic importance as an alternative to traditional hard-rock deposits. Approximately 78% of the identified global lithium resources are hosted in hydromineral environments, including continental brines, oilfield formation waters, and geothermal fluids. The Shu–Sarysu sedimentary basin in southern Kazakhstan is one of the most extensive, yet poorly studied, brine provinces in Central Asia. This study provides a comprehensive hydrogeochemical characterization of lithium-bearing brines in the Moiynkum structural zone of the Shu–Sarysu basin, based on regional field sampling, multielement analysis, and GIS data integration. Water samples were collected from four deep gas production wells (perforation depths of 2029–2290 m) at the Ayrakty and Amangeldy fields. Analytical data demonstrate highly concentrated chloride–calcium–sodium brines with total dissolved constituent concentrations (TDS, calculated as the sum of analyzed ions) ranging from 140.1 to 272.1 g/L, with lithium content of 24.46–55.11 mg/L, strontium 680.5–1648.2 mg/L, rubidium 4.31–8.42 mg/L and cesium 0.317–0.420 mg/L. Piper and Durov diagrams classify the samples as highly evolved Na–Ca–Cl to Ca–Na–Cl formation brines typical of deep, long-residence sedimentary formation waters. Lithium enrichment is interpreted to reflect the combined influence of several processes: water–rock leaching of Li-bearing lithologies, evaporative concentration of ancestral brines, clay-mineral ion exchange, and possible deep fluid contributions, whose relative roles remain to be constrained by isotopic data. The compiled GIS-integrated database, combining new analytical data with archival hydrogeochemical records, delineates two promising lithium-bearing provinces and identifies priority areas for further exploration. The results indicate that the Shu–Sarysu Basin is a prospective region for further exploration of lithium-bearing formation waters in Kazakhstan. The recorded Li concentrations fall within the lower range of sedimentary-basin brines currently being evaluated for lithium extraction, although their economic and technological feasibility remains to be established. Full article

Copper is a strategically important commodity whose price dynamics are increasingly affected by structural changes, geopolitical shocks, and the global energy transition. These conditions create substantial challenges for forecasting models and provide a useful setting for evaluating the practical value of machine learning predictions. This study compares statistical and artificial intelligence-based forecasting models for copper price prediction under different market regimes and structural break conditions. Model performance is assessed using a multi-dimensional evaluation framework that combines statistical accuracy (MAPE), dynamic pattern reproduction (Taylor diagrams and time-lagged cross-correlation analysis), and the economic performance of forecast-driven trading strategies. The results reveal a consistent error–profit paradox: models with the highest statistical forecasting accuracy do not necessarily generate the best trading outcomes. In several cases, models with larger prediction errors achieve superior economic performance because they capture directional market dynamics more effectively. The analyses further show that structural breaks substantially alter model rankings and predictive usefulness, highlighting the importance of regime-aware evaluation. These findings suggest that forecast accuracy alone provides an incomplete assessment of model quality in financial and commodity forecasting applications. The study contributes to machine learning evaluation research by proposing an integrated framework that jointly considers predictive accuracy, temporal dynamics, model robustness, and economic utility, thereby offering a more comprehensive approach to assessing forecasting systems in real-world decision-making environments. Full article

Background: The sphenoid sinus occupies a strategically central position at the base of the skull, in close proximity to critical neurovascular structures including the pituitary gland, optic nerves, internal carotid arteries, and the cavernous sinus. Its complex anatomical configuration and pronounced individual variability render it a structure of paramount clinical importance in transsphenoidal approaches to the sellar and parasellar regions. Methods: A narrative review of the literature was conducted in accordance with the SANRA (Scale for the Assessment of Narrative Review Articles) guidelines for narrative reviews. A comprehensive search was performed across four electronic databases—PubMed/MEDLINE, Scopus, Web of Science, and Google Scholar—covering publications from January 2000 through March 2026, with the final search update completed in March 2026. An initial pool of 826 articles was identified. Following title and abstract screening, 421 articles were retained for full-text assessment; of these, 307 contributed to the conceptual synthesis, and 100 are directly cited in the manuscript. The literature selection process followed a structured flow diagram consistent with PRISMA reporting principles for identification and screening stages. Results: We synthesise current evidence on the embryological development, macroscopic and microscopic anatomy, morphological classifications, and epidemiological distribution of anatomical variations in the sphenoid sinus, with emphasis on radiological assessment and surgical relevance. The spectrum of pneumatization patterns—from the conchal type through presellar and sellar variants to the postsellar, clival, and lateral types—is reviewed alongside population-level prevalence data. Common and rare variations are examined, including intrasinus septation, Onodi cells, and bony dehiscences overlying the internal carotid artery and optic nerve. The comparative diagnostic capabilities of computed tomography and magnetic resonance imaging are evaluated, alongside emerging modalities such as three-dimensional reconstruction, virtual reality, and augmented reality. Conclusions: Detailed morphological knowledge of the sphenoid sinus plays an important role in surgical strategy, instrument selection, and risk mitigation in skull base surgery. Individualised preoperative imaging—integrating CT, MRI, and, where available, immersive digital technologies—is essential for safe transsphenoidal planning and cannot be replaced by standard anatomical templates. Full article

Family businesses represent an important part of the wood-processing and furniture industry and may play a significant role in sustainable forest-based development. This study aims to analyze how family businesses perceive selected external determinants of the microeconomic environment, assess the role of non-economic goals in their management, and propose a strategic framework for their sustainable development. The research was conducted in Slovakia through a questionnaire survey administered between August 2024 and May 2025. The final dataset included 507 valid responses, of which 432 businesses were identified as family businesses. The data were analyzed using non-parametric statistical methods, particularly the Kruskal–Wallis test and multiple comparison analysis. The results confirmed significant differences in the perceived importance of external determinants, with customers identified as the most important factor and intermediaries as the least important. The findings also showed that non-economic goals, such as sustainability and intergenerational continuity, are relevant, although not the most prominent characteristic. Relational factors, especially trust, reputation, and long-term relationships, play a more central role. Based on these findings, a conceptual strategic framework was developed using the Ishikawa diagram. The study highlights the role of family businesses in long-term competitiveness and sustainable forest-based development. Full article

Purpose: With the advent of sixth-generation (6G) communication technology, systematic mapping of its use cases to associated technical requirements has become essential for accelerating standardization, guiding R&D investment, and informing policy formulation. Methods: This study consolidated 65 use case scenarios from key academic and institutional 6G sources into 21 representative cases. A three-round Delphi-based expert assessment, employing a five-point Likert scale and interquartile-range-based consensus monitoring, was used to assign primary and secondary technical requirements across six core dimensions: immersive communication, massive communication, hyper-reliable low-latency communication, integrated sensing and communication, integrated artificial intelligence and communication (IAAC), and ubiquitous connectivity. A three-dimensional (3D) prism-based visualization framework was subsequently developed to represent the interdependencies among these requirements. Results: IAAC and massive communication emerged as the most critical requirements, each functioning as a primary or secondary driver across most use cases. The prism framework revealed hierarchical and complementary relationships among the six dimensions that conventional 2D wheel diagrams cannot adequately capture. Furthermore, a nine-criterion multidimensional classification framework, encompassing data transmission mode, decision-making mode, communication flow, interaction type, device type, deployment type, human activity innovation, user type, and personalization level, was developed, offering industry-specific guidance for service design. Collectively, the proposed framework supports user-centric design, informs strategic technology planning, and contributes to policy development while acknowledging existing limitations in quantitative mapping and economic analysis. Full article

Systematic reviews and meta-analyses have become essential infrastructure for translating agricultural research into actionable knowledge; yet the field’s developmental trajectory and intellectual structure remain poorly characterized. This study presents a bibliometric analysis of 1709 evidence synthesis publications in agricultural sciences from 1997 to 2023, examining growth dynamics, collaboration, thematic evolution, and geographic specialization. The results show exponential growth of 29% annually, with a 2018 inflection point marking the transition from emerging methodology to mainstream practice. Meta-analyses, comprising 75% of publications and accelerating earlier (2017) than systematic reviews (2019), have primarily driven this expansion as an accessible quantitative approach. Evidence synthesis is highly collaborative, with 59% multi-country authorship sustained across 97 countries and regions. Topic modeling identified 14 core themes spanning soil carbon, climate change, crop management, technology adoption, and sustainable agriculture, with thematic shifts from production-focused topics toward climate and sustainability priorities aligned with post-2015 policy agendas. Strategic diagram analysis revealed a linear structure linking topic maturity and centrality, indicating exceptional integration distinct from the fragmentation typical of other domains. Revealed comparative advantage (RCA) analysis showed geographic specialization aligned with national agricultural contexts, though the concentration of synthesis capacity raises equity concerns about whose systems and questions are represented. Overall, agricultural evidence synthesis has matured into a globally connected, policy-responsive knowledge network; yet sustaining growth will require institutional support, methodological rigor, and pathways that translate synthesis into practice impact. Full article

Ion-adsorption rare earth element (REE) deposits represent strategic critical resources in China, which were traditionally considered to be predominantly hosted in granite weathering crusts. However, the recent discovery of new deposit types within the weathering crusts of shallow metamorphic rocks in South China has opened up novel exploration frontiers, while research on their metallogenic mechanisms remains insufficient. To elucidate the REE enrichment mechanisms in shallow metamorphic rock weathering crusts, this study focuses on the Getengzui ion-adsorption REE deposit in southern Jiangxi Province. Twenty-four samples were collected from the weathering crust profiles of the Qingbaikouan Shenshan and Kuli Formations. Multiple analytical approaches were employed, including major and trace element analysis, Chemical Index of Alteration (CIA), Base Leaching Index (BA), and quantitative evaluation of element mass transfer coefficients (τ). Trace element spider diagrams, REE distribution patterns, and A-CN-K diagram analysis were also utilized. The results reveal that the weathering crusts have progressed to the middle–late stage of chemical weathering. The average CIA value is 83 for the middle-upper part of the completely weathered horizon in the Kuli Formation. In contrast, for the completely weathered horizon in the Shenshan Formation, the value is 86. Intense chemical weathering has resulted in the near-complete decomposition of primary silicate minerals and extensive leaching of base cations. This progress has created an acidic pore water environment, which is critical for REE mobilization. REEs exhibit characteristics of in situ secondary enrichment, with significant enrichment of ΣREE in the middle-upper part of the completely weathered horizon. The peak τ(ΣREE) values reach 0.78 and 2.43 for the Kuli and Shenshan Formations, respectively. Apatite dissolution is identified as the primary source of REE ions. Differences exist in the geochemical mobility sequences of elements between the two formations. REE enrichment is controlled by multi-stage geochemical barriers, including an oxidation barrier and a clay adsorption barrier. The oxidation barrier preferentially fixes Ce⁴⁺, whereas the clay adsorption barrier serves as the dominant mechanism for large-scale REE enrichment. Parent rock lithology is the primary factor governing the efficiency, scale, and fractionation characteristics of REE enrichment. The Kuli Formation is favorable for forming the thick, large-scale orebodies enriched in light rare earth elements (LREEs). In the contrast, the Shenshan Formation tends to host higher-grade orebodies, characterized by a relatively balanced ratio of LREEs and heavy rare earth elements (HREEs). This study clarifies the main controlling factors for ion-adsorption REE mineralization in two shallow metamorphic rocks. It thereby provides a theoretical basis for future exploration. This framework is applicable to analogous REE resources within shallow metamorphic rock distributions across South China and nationwide. Full article

Land use and land cover change (LULCC) constitutes a major challenge to sustainability worldwide. This also applies to Japan, where urbanization in coastal lowlands is contrasted with widespread agricultural abandonment in rural landscapes. In this systematic review we synthesized the main LULCC trajectories, their driving forces, and specific effects in Japan from 1994 to 2024. Following PRISMA guidelines, 158 peer-reviewed articles were analyzed using quantitative co-occurrence analyses, Chi-squared tests, and Sankey diagrams to map land-use flows. Two dominant and opposing trajectories were confirmed: urban expansion and agricultural abandonment. The most significant land transition flow involved the conversion of agricultural land to forests/natural vegetation, while the conversion of agricultural land to built-up areas came in second place. These transitions were primarily driven by economic and demographic factors, but reforestation trends were strongly influenced by policy and institutional factors (35.70%), reflecting national regreening initiatives. Ecological and biodiversity impacts of LULCC were the most often documented effects (>40% of records). While the published literature describes trends in land-use transformations, the mechanistic understanding of LULCC remains limited. There is an urgent need to move toward process-based predictive modeling that integrates socio-economic variables. Future policies should balance urban density management with the strategic use of rural abandonment for ecosystem services provision and climate mitigation. Full article

Platinum group metals (PGMs) are strategic metals, and recycling PGMs in spent automobile exhaust catalysts (SACs) is a key path to alleviate the contradiction between resource supply and demand. This paper proposes a new Cu-Ni capture process and conducts research on the recovery of PGMs from SACs. Through the binary phase diagram analysis of Cu, Ni and PGMs and the thermodynamic calculation of the system reduction reaction, the feasibility of this technology was theoretically confirmed. Experimental results show that under the conditions of a temperature of 1450 °C, a holding time of 90 min, a Cu-Ni ratio of 1:1, and a basicity of 0.58, the recovery rates of Pt, Pd, and Rh reached 99.2%, 99.34%, and 98.48% respectively. Combined with orthogonal experiments, it was verified that temperature is the most influential factor on the recovery rate, and the four-stage capture mechanism of “initial diffusion—droplet aggregation—sedimentation and wetting—slag–metal separation” was clarified. This process reduces the melting temperature and provides new technology for green and efficient recycling of PGMs. Full article

Research on low-carbon transitions often neglects small developing countries due to severe data scarcity. To address this critical gap, this study introduces a novel systematic analysis framework tailored for data-constrained environments. Integrating Sankey diagram-based energy allocation analysis with a six-dimensional diagnostic framework (resources, policy, economy, technology, society, and environment), the methodology leverages publicly available International Energy Agency data to visualize complex energy flows and identify underlying drivers. To verify the framework’s efficacy, a case study of Mongolia (2016–2021) is carried out. The analysis reveals a persistent structural reliance on coal and uncovers a strategic disconnect between macro-level climate goals and micro-level implementation, primarily driven by economic dependence and technological inertia. By transforming limited public data into actionable systemic insights, this study provides a robust and reproducible tool for evidence-based policymaking. The proposed method offers a vital contribution to global decarbonization efforts, enabling other data-scarce developing countries to navigate their energy transitions effectively. Full article

As artificial intelligence (AI) becomes increasingly integrated into organizational processes to enhance efficiency, decision-making, and innovation, aligning AI systems with human teams remains a major challenge to realizing their full potential. Although academic interest is growing, the conceptual landscape of human–AI relationships remains fragmented. This study employs a bibliometric co-word analysis of 4093 peer-reviewed documents indexed in Scopus to map the intellectual structure of the field. Using a strategic diagram, we assess the relevance and maturity of five major thematic clusters identified in the field. Results highlight the structural dominance of Human–AI Interactions (Centrality: 1595), Human–AI Collaboration (1150), and Teaming and Augmentation (1131) as foundational themes, while Conversational AI (655), and Ethics and Responsibility (431) emerge as specialized domains. Based on the analysis, we propose a conceptual framework that classifies human–AI relationships into four categories—symbiotic, augmented, assisted, and substituted intelligence—according to the level of AI autonomy and human involvement. Rather than providing prescriptive guidance for practitioners, this framework is intended primarily as a scholarly contribution that clarifies the conceptual landscape and supports future theoretical and empirical work. While potential implications for organizational contexts can be inferred, these are secondary to the study’s main goal of offering a research-based synthesis of the field. Ultimately, our work contributes to academic consolidation by offering conceptual clarity and highlighting opportunities for future research, while underscoring the critical need for ethical alignment and interdisciplinary dialogue to guide future AI adoption. Full article

Logistics involves planning and managing resources to meet customer demands. Its effectiveness depends not only on time and process coordination but also on the performance of logistics operators, whose actions directly affect customer satisfaction. Although operational risks are inherent to logistics, customer-oriented service failures are often overlooked in traditional risk assessment. To address this gap, this study proposes an integrated approach that combines a Pareto Diagram and Failure Mode and Effects Analysis (FMEA) within the ISO 31000 risk assessment framework. This structured method enables the identification and prioritization of logistics failures based on customer complaints, thereby supporting data-driven decision-making and continuous service improvement. Applied to a real-world case in a ceramic production line specializing in tableware manufacturing, the method identified and evaluated key logistics failures; particularly those related to late deliveries and damaged goods. Based on these findings, improvement actions were proposed to reduce the recurrence of these issues. This study contributes a structured, practical, and replicable approach for organizations to introduce risk assessment practices and enhance the service quality of logistics management. This study advances the literature by shifting the focus from internal production failures to customer-driven service risks, offering strategic insights for improving reliability and operational performance. Full article

Post-disaster temporary housing units (PDTHUs) are crucial to the rebuilding process after disasters; however, current designs fall short in several areas, including user comfort, contextual relevance, and long-term flexibility. This situation suggests that design weaknesses emerge through interactions among multiple factors, requiring an analytic approach that goes beyond isolated evaluation. This study aims to (1) identify the main design issues in PDTHUs, (2) explore the relationships among these issues, and (3) prioritize interventions by grouping causes for decision makers. First, eleven primary design problems were identified through a systematic literature review. Next, a matrix-based questionnaire was developed and administered to five experts with experience in post-disaster projects. In the third stage, expert opinions were analyzed using the DEMATEL (Decision-Making Trial and Evaluation Laboratory) method. As a result, the design problems were classified into “cause” and “effect” groups, and a cause-and-effect diagram was created. The findings indicate that the lack of contextual and cultural integration in design (4.485); the absence of pre-disaster planning and prototyping (3.964); and low thermal, acoustic, and ergonomic comfort (3.385) are the most influential issues because they belong to “cause groups” with high Pi values. This study provides a guiding framework for practitioners and policymakers to allocate resources efficiently, plan strategically, and develop context-sensitive designs. Full article

Tight sandstone gas constitutes a strategically significant resource in the exploration of unconventional hydrocarbon systems. Current understanding of the geochemical composition and genesis of tight sandstone gas in the Daning–Jixian Block, southeastern Ordos Basin, is insufficient, which hampers a comprehensive assessment of its resource potential. This study is the first to systematically investigate the geochemical characteristics and genetic origin of high-maturity tight sandstone gas in the southeastern Ordos Basin’s Daning–Jixian Block. Gas specimens were systematically acquired from multiple stratigraphic units within the reservoir interval and subjected to compositional and carbon–hydrogen isotope analysis. Compared with other gas fields in the Ordos Basin, the Daning–Jixian Block has higher average methane concentration, and notably lower ethane and propane concentrations; its average δ¹³C₁ and δ²H-CH₄ is heavier, while δ¹³C₂ and δ¹³C₃ are lighter. Based on the δ¹³C₁-δ²H-CH₄ diagram, all gas samples from the block and other basin gas fields fall into the geothermal, hydrothermal and crystalline gas domain, indicating gas genesis associated with over-mature organic matter interacting with external hydrogen. Milkov genetic diagram analysis reveals that the natural gas consists of primarily early-stage kerogen-cracking gas, with a minor contribution from crude oil-derived gas originating from Carboniferous–Permian source rocks. Notably, samples from Daning–Jixian exhibit a unique δ¹³C₁ > δ¹³C₂ reversal, attributed to mixing effects between gas from highly mature kerogen and gas from secondary cracking of crude oil. Consequently, ethane carbon isotopes alone are insufficient for definitive genetic classification. These findings provide a new geochemical interpretation framework for analogous high-maturity tight gas reservoirs. Full article