Extensive Approach Research Articles

Lung ultrasound score for the assessment of lung aeration in ARDS patients: comparison of two approaches.

Purpose A 4-step lung ultrasound (LUS) score has been previously used to quantify lung density. We compared 2 versions of this scoring system for distinguishing severe from moderate loss of aeration in ARDS: coalescence-based score (cLUS) vs. quantitative-based score (qLUS - >50% pleura occupied by artefacts). Materials and Methods We compared qLUS and cLUS to lung density measured by quantitative CT scan in 12 standard thoracic regions. A simplified approach (1 scan per region) was compared to an extensive one (regional score computed as the mean of all relevant intercostal space scores). Results We examined 13 conditions in 7 ARDS patients (7 at PEEP 5, 6 at PEEP 15 cmH2O-156 regions, 398 clips). Switching from cLUS to qLUS resulted in a change in interpretation in 117 clips (29.4%, 1-point reduction) and in 41.7% of the regions (64 decreases (range 0.2-1), 1 increase (0.2 points)). Regional qLUS showed very strong correlation with lung density (rs=0.85), higher than cLUS (rs=0.79; p=0.010). The agreement with CT classification in well aerated, poorly aerated, and not aerated tissue was moderate for cLUS (agreement 65.4%; Cohen's K coefficient 0.475 (95%CI 0.391-0.547); p<0.0001) and substantial for qLUS (agreement 81.4%; Cohen's K coefficient 0.701 (95%CI 0.653-0.765), p<0.0001). The agreement between single spot and extensive approaches was almost perfect (cLUS: agreement 89.1%, Cohen's kappa coefficient 0.840 (95%CI 0.811-0.911), p<0.0001; qLUS: agreement 86.5%, Cohen's kappa coefficient 0.819 (95%CI 0.761-0.848), p<0.0001). Conclusion A LUS score based on the percentage of occupied pleura performs better than a coalescence-based approach for quantifying lung density. A simplified approach performs as well as an extensive one.

A keep-it-simple embolisation approach to treat pelvic congestion syndrome without compromising clinical effectiveness.

There are two approaches to treating pelvic congestion syndrome (PCS): (i) the keep-it-simple (KIS) approach, which involves embolising only the refluxing vein(s), typically the left ovarian vein (LOV) unless the right ovarian vein (ROV) or left/right internal iliac vein (IIV) tributaries are also refluxing; and (ii) the extensive (EXT) approach, which empirically embolises almost all of the LOV, ROV, and left and right IIV tributaries. The aim of this study is to determine whether the KIS approach can effectively treat PCS while minimising the number of treated veins and coils used, without the need for injecting sclerosing agents into pelvic veins or the use of occlusion balloons. This is a single-institution retrospective cohort study. Our records identified 154 women who underwent venograms for possible PCS, with the intent to proceed with embolisation. Refluxing veins were treated using the KIS approach, deploying minimal number of coils, 'sandwiching' sclerosing foam. Short-term follow-up was conducted at 6 weeks; long-term follow-ups (between 12 and 60 months) were conducted via an electronic survey consisting of 19 questions assessing pelvic pain/pressure, leg and back pain, fatigue, and bladder and menstrual symptoms. Fifteen women had negative venogram; 139 women had one or more refluxing veins on venogram. Most women (73%) required unilateral ovarian vein (OV) embolisation, 14% required bilateral OV embolisation, and 12% underwent pelvic vein embolisation. Most cases required only four pushable coils. Clinical success was 89% at 6 weeks and 84% at 1-5 years. A visual analogue scale reduction of 5.2 points (from 7.8 to 2.7) was achieved. There were no instances of coil dislodgement or other complications. The keep-it-simple approach, embolising only the refluxing ovarian and/or iliac veins, can achieve a successful clinical outcome for pelvic congestion syndrome. The extensive approach of empirically embolising all ovarian veins and internal iliac veins may not be necessary. This carries implications for potential savings in procedure time, cost and radiation dose.

Integration of indigenous and formal knowledge in the assessment of soil quality performance assessment using multiple factor analysis in Alborz central mountains

Despite the data gap between researchers and farmers in soil fertility assessment, there are similarities and coincidences between the achievements of scientific versus local assessments. Farmers’ land management practices are a function of perceived soil fertility assessment in day-to-day management decisions. Despite the efforts made, studies have yielded different results when comparing soil fertility assessments in terms of indigenous and scientific knowledge, thus calling for closer assessments using extensive creative and systematic approaches. The current study uses Multiple Factor Analysis (MFA) to propose efficiency indicators based on the weighting of familiar, organizational, or productive variables in groups evaluating indigenous, scientific, and data variability. The end goal is to help identify the decision-makers’ training needs and decide on future institutional endeavors for developing productive skills and adopting better measures to evaluate soil fertility. By combining indigenous knowledge with innovations and improving the relationship between scientists and indigenous peoples and also promoting collaboration, thinking, and knowledge acquisition of farmers on how to maintain soil fertility and health, we hope to move towards sustainable agriculture as an institutional reform.

Transcriptome wide changes in long noncoding RNAs in diabetic ischemic heart disease

More than 10% of adults in the United States have type 2 diabetes mellitus (DM) with a 2–4 times higher prevalence of ischemic heart disease than the non-diabetics. Despite extensive research approaches to limit this life-threatening condition have proven unsuccessful, highlighting the need for understanding underlying molecular mechanisms. Long noncoding RNAs (lncRNAs), which regulate gene expression by acting as signals, decoys, guides, or scaffolds have been implicated in diverse cardiovascular conditions. However, their role in ischemic heart disease in DM remains poorly understood. We provide new insights into the lncRNA expression profile after ischemic heart disease in DM mice. We performed unbiased RNA sequencing of well-characterized type 2 DM model db/db mice or its control db/+ subjected to sham or MI surgery. Computational analysis of the RNA sequencing of these LV tissues identified several differentially expressed lncRNAs between (db/db sham vs. db/db MI) including Gm19522 and Gm8075. lncRNA Gm-19522 may regulate DNA replication via DNA protein kinases, while lncRNA Gm-8075 is associated with cancer gene dysregulation and PI3K/Akt pathways. Thus, the downregulation of lncRNAs Gm19522 and Gm8075 post-MI may serve as potential biomarkers or novel therapeutic targets to improve cardiac repair/recovery in diabetic ischemic heart disease.

Ontology-Guided Generation of Mechanized Construction Plan for Power Grid Construction Project

Mechanized construction is being fully implemented in the electric power infrastructure domain to ensure construction safety, enhance project quality, and improve efficiency. Traditional methods of designing mechanized construction plans are often inefficient due to their labor-intensive processes and heavy reliance on human expertise. This study introduces and evaluates an ontology-guided system designed to automate mechanized construction planning for power grid projects. The developed ontology effectively models domain-specific knowledge, enabling the semantic integration of data from various sources. By leveraging SPARQL queries, the ontology-guided system incorporates knowledge reasoning capabilities that facilitate the automated selection of construction equipment and the generation of comprehensive construction plans. A prototype system incorporating an ontology-guided mechanism has been developed, showcasing marked enhancements in efficiency and accuracy over traditional manual methods, as evidenced by case studies and expert evaluations. The research results emphasize the potential of ontology-guided systems in innovating architectural planning, providing an extensible and standardized approach. Expert evaluation indicates that the system achieves 71.38% effectiveness in generating mechanized construction plans.

Finite element analysis of a generalized Robin boundary value problem in curved domains based on the extension approach

Abstract A theoretical analysis of the finite element method for a generalized Robin boundary value problem, which involves a second-order differential operator on the boundary, is presented. If $\varOmega $ is a general smooth domain with a curved boundary, we need to introduce an approximate domain $\varOmega _{h}$ and to address issues owing to the domain perturbation $\varOmega \neq \varOmega _{h}$. In contrast to the lift approach used in existing studies, we employ the extension approach, which need not assume that boundary nodes of $\partial \varOmega _{h}$ lie exactly on $\partial \varOmega $. Assuming that approximate domains and function spaces are given by isoparametric finite elements of order $k$, we prove the optimal rate of convergence in the $H^{1}$- and $L^{2}$-norms. A numerical example is given for the piecewise linear case $k = 1$.

Interdependent Effects of Agro-input Node Interventions on the Adoption of Cattle milk Production Technologies among Smallholder Farmers in Kericho County, Kenya

Agricultural extension service delivery system is a vital component in agricultural development initiatives of any nation. Several extension approaches are used to achieve these initiatives. Globally, many Governments and development partners in rural agricultural development initiatives have gradually transitioned away from total state control of rural community and agricultural extension service delivery into adopting and supporting a more multifaceted system built on holistic participatory approach commonly referred to as Agricultural Value Chain Extension Approach (AVCEA). This AVCEA is relatively new in developing countries, including Kenya, and specifically in Kericho County where exploration on its impact on farm-level technology adoption has yet to be undertaken. The purpose of this study was to investigate the interdependent effects of agro-input node interventions on the adoption of cattle milk production technologies among smallholder farmers in Kericho, Kenya. This study adopted an ex-post-facto research design and systematic random sampling technique to select a sample of 132 farmers who previously exposed to AVCEA. Interviews were conducted for eight (8) dairy production experts and 6 Dairy organization representatives as key informants. The primary data were collected using interview schedules, questionnaires and focus group discussion tools. The data were analyzed for descriptive statistics like frequencies, percentages and inferential statistics like Chi-square tests with the aid of SPSS version 26.0. The results of the study indicated that there was a significant interdependence between some agro-input value chain node interventions and the adoption of cattle milk production technologies. There was also Interdependence between ease of access to farmers ‘groups/cooperative societies and the adoption of cattle milk production technologies by the smallholder farmers. Based on findings of this study, Agricultural experts, stakeholders, and other concerned bodies should focus on developing strategies to strengthen interventions at the agro-input node, particularly by fostering cooperation among smallholder farmers to enhance collective actions.

Development of Macrocyclic Neurotensin Receptor Type 2 (NTS2) Opioid-Free Analgesics.

The opioid crisis has highlighted the urgent need to develop non-opioid alternatives for managing pain, with an effective, safe, and non-addictive pharmacotherapeutic profile. Using an extensive structure-activity relationship approach, here we have identified a new series of highly selective neurotensin receptor type 2 (NTS2) macrocyclic compounds that exert potent, opioid-independent analgesia in various experimental pain models. To our knowledge, the constrained macrocycle in which the Ile12 residue of NT(7-12) was substituted by cyclopentylalanine, Pro7 and Pro10 were replaced by allyl-glycine followed by side-chain to side-chain cyclization is the most selective analog targeting NTS2 identified to date (Ki 2.9 nM), showing 30,000-fold selectivity over NTS1. Of particular importance, this macrocyclic analog is also able to potentiate the analgesic effects of morphine in a dose- and time-dependent manner. Exerting complementary analgesic actions via distinct mechanisms of nociceptive transmission, NTS2-selective macrocycles can therefore be exploited as opioid-free analgesics or as opioid-sparing therapeutics, offering superior pain relief with reduced adverse effects to pain patients.

Associations between SARS-CoV-2 Infection or COVID-19 Vaccination and Human Milk Composition: A Multi-Omics Approach

BackgroundThe risk of contracting SARS-CoV-2 via human milk-feeding is virtually non-existent. Adverse effects of COVID-19 vaccination for lactating individuals are not different from the general population, and no evidence has been found that their infants exhibit adverse effects. Yet, there remains substantial hesitation among this population globally regarding the safety of these vaccines. ObjectiveHerein we aimed to determine if compositional changes in milk occur following infection or vaccination, including any evidence of vaccine components. Methods and ResultsUsing a subset of milk samples obtained as part of our broad studies examining the effects on milk of SARS-CoV-2 infection and COVID-19 vaccination, an extensive multi-omics approach, we found that compared to unvaccinated individuals SARS-CoV-2 infection was associated with significant compositional differences in 67 proteins, 385 lipids, and 13 metabolites. In contrast, COVID-19 vaccination was not associated with any changes in lipids or metabolites, although it was associated with changes in 13 or fewer proteins. Compositional changes in milk differed by vaccine. Changes following vaccination were greatest after 1-6 hours for the mRNA-based Moderna vaccine (8 changed proteins), 3 days for the mRNA-based Pfizer (4 changed proteins), and adenovirus-based Johnson and Johnson (13 changed proteins) vaccines. Proteins that changed after both natural infection and Johnson and Johnson vaccine were associated mainly with systemic inflammatory responses. In addition, no vaccine components were detected in any milk sample. ConclusionsTogether, our data provide evidence of only minimal changes in milk composition due to COVID-19 vaccination, with much greater changes after natural SARS-CoV-2 infection.

The Lamella Ostium Extent Mucosa (LOEM) system: a new classification for endoscopic sinus surgery.

In the last decades, various types of endoscopic sinus surgery (ESS) have emerged as treatments for chronic rhinosinusitis (CRS), particularly with the development of personalized, endotype-driven approaches targeting mucosal inflammation and remodeling (1). Despite these advancements, the literature reports heterogeneous and often divergent outcomes, leaving the actual benefit of more extensive surgical approaches in CRS control a matter of ongoing debate (2,3). This discrepancy stems from inconsistent definitions of surgical techniques, leading to variations in osseous and mucosal resections depending on patient phenotype, disease severity and surgeon preference (4). To address this inconsistency, the Japanese Rhinology Society introduced a classification based on procedure extent, but it lacks details on anatomical structures and mucosal treatment (5). Similarly, the ACCESS system measures ESS extent with postoperative CT-scans but overlooks mucosal interventions (6).

Scalability challenges of machine learning models for estimating walking and cycling volumes in large networks

This study explores the scalability of machine learning models for estimating walking and cycling volumes across the extensive New South Wales (NSW) Six Cities Region in Australia using mobile phone and crowdsourced data. Previous research has focused on localized applications, missing the complexities of larger networks. The research addresses this gap by identifying unique challenges such as the scarcity and representativeness of observed count data, gaps in the crowdsourced and mobile phone data, and inconsistencies in link-level volume estimates. We propose and demonstrate the application of strategies like enhancing geographical diversity of observed count data and employing an extensive cross-validation approach in model training and testing. By leveraging various auxiliary datasets, the study demonstrates the effectiveness of these strategies in improving model performance. These findings provide valuable insights for transportation modelers, policymakers, and urban planners, offering a robust framework for supporting sustainable transportation infrastructure and policies with advanced data-driven methodologies.

Increasing the prediction quality of artificial neural network–based optimisation approaches for the sheet moulding compound compression moulding process by means of targeted expansion of training data

The resulting fibre orientation when pressing Sheet Moulding Compound (SMC) is essentially dependent on the position and geometry of the resin mat in the mould. It is desirable to adapt the fibre orientation as best as possible to best withstand the applied load. The relationship between the position and geometry of the resin mat and the deflection of the final part under a specific load can be mapped using a numerical simulation; nevertheless, an optimisation is not feasible based on the simulation in an economically reasonable time frame due to the required computing time. For this reason, a metamodel based on an ensemble of artificial neural networks (ANN) was created on the basis of the simulation data, and an optimisation based on these ANN was set up. However, the investigations show that the minimal deflections found on the basis of the metamodel through optimisation have large deviations compared to the simulation. This leads to the hypothesis that the applied optimisation finds weak points of the metamodel instead of actual minima. From this hypothesis, an extension approach of the data set on which the metamodel is based by the weak points found is derived and implemented. This is done in an iterative process. The results show that the goal of increasing the prediction quality of the optimisation approach is achieved by the developed approach. The root mean square error (RMSE) could be reduced from the original deflection of 25 to 7 mm, which corresponds to a reduction of 72%. It is shown that the presented approach is successful in increasing prediction quality; nevertheless, further measures are needed to reach decent prediction quality.

Approaches to Address Cultural Diversity and Attitude Towards Multiculturalism of Grade 2 Teachers

This study investigated the attitudes of Grade 2 teachers towards multiculturalism and the extent of approaches to address cultural diversity within their educational milieu. Utilizing a quantitative research approach, a survey questionnaire was administered to Grade 2 teachers, assessing their attitudes towards multiculturalism and perceptions of various indicators associated with cultural diversity. The results reveal that Grade 2 teachers exhibit very extensive approaches towards addressing cultural diversity, signifying a strong commitment to promoting multiculturalism through policies, representation, intercultural communication, diversity training, and inclusive practices. Furthermore, the study demonstrates that Grade 2 teachers possess extensive attitudes towards multiculturalism, highlighting their openness to diverse cultures, willingness to learn about them, and tolerance of cultural differences. This research underscores the interconnectedness of educators' approaches to cultural diversity and their attitudes towards multiculturalism, emphasizing the significance of institutional efforts in promoting diversity and fostering positive attitudes in educational settings. Additionally, the findings reveal a strong positive relationship between teachers' approaches to address cultural diversity and their attitudes towards multiculturalism, underscoring the pivotal role of institutional policies, diverse representation, and inclusive practices in shaping positive attitudes within the educational context.

Research on information extension of mountainous rack railway engineering based on IFC standard

In response to the practical demands for data sharing and exchange in the field of rack railway systems engineering, as well as to address the gaps in the rack railway domain within the framework of the IFC4 standard, we extend and define the rack railway domain through entity extension and custom attribute sets. By utilizing the ongoing construction of the Dujiangyan to Mount Siguniang Railway as a case study, we validate the utility of this IFC extension and modeling approach. Leveraging IfcOpenShell, we incorporate the extended data content into the generated IFC file. We present a process for extension tailored to the characteristics of rack railway engineering. This study aims to provide broader information support for the digital construction of track structures in the design phase of rack railway engineering and to facilitate more efficient data exchange and sharing.

Развитие системы поддержки одаренных детей в СССР и в России: направления и перспективы

The article examines the work with gifted children in Russia within the context of the historical development of the Russian education system. The aim of the research is to identify the characteristics, directions, and prospects for working with gifted children in Russia within the framework of extensive and intensive development paths. The research involved exploring legislative acts, projects related to working with children, pedagogical papers on the issue of giftedness; methods of analysis and generalization were applied. The scientific novelty of the research lies in predicting possible directions for the development of the Olympiad system, considering its system-forming function. As a result, it can be said that after the collapse of the USSR, the Russian system of additional education has outlined a vector of transition from an extensive to an intensive approach in working with gifted children through regional centers for identifying and supporting such children. At the same time, the system of working with gifted children retains its historical characteristics of an extensive approach in all directions, while the scale of working with gifted children increases: (1) in the Olympiad system, (2) in additional education, and also (3) in the in-depth study of subjects in general education institutions for gifted children. Among the possible directions and prospects are the improvement of the “triangle” of support for gifted children (Olympiads – schools – additional education) in the humanities, for example, by clarifying the status of general education organizations with in-depth study of socio-humanitarian subjects in relation to working with gifted children and realizing the possibilities of a variable nature of the current Olympiad system, which allows children to demonstrate their giftedness in a wide range of activities and academic subjects.

Balancing environmental sustainability through fintech, green finance natural resource, and economic growth in Asian economies - A Cup-FM and Cup-BC study

Financial technology is now playing a significant part in supporting the advancement of the economy. Moreover, there exists an escalating awareness concerning the safeguarding of resources. The ongoing research illuminates the reliability of the resource curse assumption concerning selected Asian nations. Moreover, it analyses the consequences of two major economic indicators on COE, notably green finance and fintech. The analysis took place over a time frame of 20 years (2000–2020) to attain its goal. The analysis incorporates an extensive approach, Cup-FM and Cup-BC for the empirical perusal. The analysis outcomes illustrate the prevalence of the resource curse hypothesis in selected Asian nations. Fintech has been proven to be an essential tool for minimizing COE. Additionally, green finance acts as an essential tool for minimizing COE. In addition to this, GDP has proven to be a pertinent driver of COE. The analysis provides a variety of particular strategies intended for strengthening the circumstances of observed nations. It is essential to concentrate on the ecologically sound utilization of natural resources at present. Additionally, financial technologies must receive more of the spotlight in the general policymaking field. It is mandatory now for developing nations, to invest in green finances to boost ecological quality.

Backbone curve orientated parameter identification for systems with coupled nonlinearity

Backbone curve attracts much concern from nonlinear system identification studies because it directly orientates the nonlinearity embedded in a system. Although extensive approaches have been proposed for normal nonlinearities that are symmetric or decoupled in the modal space, it is still challenging to extend the backbone-based identification technique for better applicability. To this end, this paper considers a series of representative 2-degree-of-freedom systems with asymmetric and coupled nonlinearities. First, the expression of the backbone curve, derived by the method of multiple scales (MMS), is augmented from only the driving-point distribution to the transfer-point distribution because of the coupling. Then, a hierarchical decoupling scheme is constructed to decompose the coupling-induced multi-modes in the transfer-point responses, making the backbone extraction technique valid for systems with coupled nonlinearities. Finally, the system parameters are identified by fitting the extended backbone functions to the decomposed samples. Numerical and experimental examples are both provided to demonstrate the detailed operations of the identification algorithm. The results show that by introducing the augmented backbone curves, the system parameters can be identified completely, indicating a successful improvement to the existing backbone-based identification technique.

Provider perception of presentations with nonspecific back pain in the emergency department and primary care practices: a semi-structured interview study

BackgroundIncreasing numbers of patients treated in the emergency departments pose challenges to delivering timely and high-quality care. Particularly, the presentation of patients with low-urgency complaints consumes resources needed for patients with higher urgency. In this context, patients with non-specific back pain (NSBP) often present to emergency departments instead of primary care providers. While patient perspectives are well understood, this study aims to add a provider perspective on the diagnostic and therapeutic approach for NSBP in emergency and primary care settings.MethodsIn a qualitative content analysis, we interviewed seven Emergency Physicians (EP) and nine General Practitioners (GP) using a semi-structured interview to assess the diagnostic and therapeutic approach to patients with NSBP in emergency departments and primary care practices. A hypothetical case of NSBP was presented to the interviewees, followed by questions on their diagnostic and therapeutic approaches. Recruitment was stopped after reaching saturation of the qualitative content analysis. Reporting this work follows the consolidated criteria for reporting qualitative research (COREQ) checklist.ResultsEPs applied two different strategies for the workup of NSBP. A subset pursued a guideline-compliant diagnostic approach, ruling out critical conditions and managing pain without extensive diagnostics. Another group of EPs applied a more extensive approach, including extensive diagnostic resources and specialist consultations. GPs emphasized physical examinations and stepwise treatment, including scheduled follow-ups and a better knowledge of the patient history to guide diagnostics and therapy. Both groups attribute ED visits for NSBP to patient related and healthcare system related factors: lack of understanding of healthcare structures, convenience, demand for immediate diagnostics, and fear of serious conditions. Furthermore, both groups reported an ill-suited healthcare infrastructure with insufficiently available primary care services as a contributing factor.ConclusionsThe study highlights a need for improving guideline adherence in younger EPs and better patient education on the healthcare infrastructure. Furthermore, improving access and availability of primary care services could reduce ED visits of patients with NSBP.Trial registrationNo trial registration needed.

Community knowledge graph abstraction for enhanced link prediction: A study on PubMed knowledge graph

Objective:As new knowledge is produced at a rapid pace in the biomedical field, existing biomedical Knowledge Graphs (KGs) cannot be manually updated in a timely manner. Previous work in Natural Language Processing (NLP) has leveraged link prediction to infer the missing knowledge in general-purpose KGs. Inspired by this, we propose to apply link prediction to existing biomedical KGs to infer missing knowledge. Although Knowledge Graph Embedding (KGE) methods are effective in link prediction tasks, they are less capable of capturing relations between communities of entities with specific attributes (Fanourakis et al., 2023). Methods:To address this challenge, we proposed an entity distance-based method for abstracting a Community Knowledge Graph (CKG) from a simplified version of the pre-existing PubMed Knowledge Graph (PKG) (Xu et al., 2020). For link prediction on the abstracted CKG, we proposed an extension approach for the existing KGE models by linking the information in the PKG to the abstracted CKG. The applicability of this extension was proved by employing six well-known KGE models: TransE, TransH, DistMult, ComplEx, SimplE, and RotatE. Evaluation metrics including Mean Rank (MR), Mean Reciprocal Rank (MRR), and Hits@k were used to assess the link prediction performance. In addition, we presented a backtracking process that traces the results of CKG link prediction back to the PKG scale for further comparison. Results:Six different CKGs were abstracted from the PKG by using embeddings of the six KGE methods. The results of link prediction in these abstracted CKGs indicate that our proposed extension can improve the existing KGE methods, achieving a top-10 accuracy of 0.69 compared to 0.5 for TransE, 0.7 compared to 0.54 for TransH, 0.67 compared to 0.6 for DistMult, 0.73 compared to 0.57 for ComplEx, 0.73 compared to 0.63 for SimplE, and 0.85 compared to 0.76 for RotatE on their CKGs, respectively. These improved performances also highlight the wide applicability of the extension approach. Conclusion:This study proposed novel insights into abstracting CKGs from the PKG. The extension approach indicated enhanced performance of the existing KGE methods and has applicability. As an interesting future extension, we plan to conduct link prediction for entities that are newly introduced to the PKG.

Spatially Confined Alloying of Pt Accelerates Mass Transport for Fuel Cell Oxygen Reduction.

Pt-based alloy with high mass activity and durability is highly desired for proton exchange membrane fuel cells, yet a great challenge remains due to the high mass transport resistance near catalysts with lowering Pt loading. Herein, an extensible approach employing atomic layer deposition to accurately introduce a gas-phase metal precursor into platinum nanoparticles (NPs) pre-filled mesoporous channels is reported, achieved by controlling both the deposition site and quantity. Following the spatially confined alloying treatment, the prepared PtSn alloy catalyst within mesopores demonstrates a small size and homogeneous distribution (2.10 ± 0.53nm). The membrane electrode assembly with mesoporous carbon-supported PtSn alloy catalyst achieves a high initial mass activity of 0.85 A at 0.9V, which is attributed to the smallest local oxygen transport resistance (3.68 S m-1) ever reported. The mass activity of the catalyst only decreases by 11% after 30000 cycles of accelerated durability test, representing superior full-cell durability among the reported Pt-based alloy catalysts. The enhanced activity and durability are attributed to the decreased adsorption energy of oxygen intermediates on Pt surface and the strong electronic interaction between Pt and Sn inhibiting Pt dissolution.