Development Of Strategies Research Articles

Progressive Fabrication of a Pt-Based High-Entropy-Alloy Catalyst toward Highly Efficient Propane Dehydrogenation.

High-entropy alloys (HEAs) have emerged as burgeoning heterogeneous catalysts due to their vast material space, unique structure, and superior stability. However, the dominant trial-and-error approaches hamper the exploration of efficient catalysts, necessitating the development of rational design strategies. Here, we report a progressive approach to the design and fabrication of HEA catalysts guided by alloying effects toward propane dehydrogenation. Cu, Sn, Au, and Pd are selected and demonstrated to induce dilution, encapsulation, surface enrichment, and inhomogeneity effects on Pt. The fabricated HEA, PtCuSnAuPd/SiO2, exhibits excellent activity, selectivity, and stability. The propylene formation rates reach 256 and 390 molC3H6 gPt-1 h-1 at 550 and 600 °C, respectively. Systematic characterizations reveal that the random elemental mixing, structural stability, and high Pt exposure promote the exposure of abundant stable isolated Pt sites. This work comprehensively explores the rational design and fabrication of HEA catalysts from a unique perspective, offering opportunities for developing advanced catalysts.

Informatics-based design of polyaniline-carbon nanotube thermoelectric nanocomposite using ANN and GA

Abstract Conducting polymer and carbon nanotube (CNT) based nanocomposites have emerged as prospective thermoelectric (TE) materials due to their potential application in flexible electronics. Non-conventional charge and heat transport in these nanocomposites, presents the possibility to enhance the TE conversion efficiency, given by ZT. However, the highly non-linear and complex association of structure and composition with the overall TE properties have hindered the development of any general strategy to develop high ZT nanocomposites. Here, we implement artificial neural network (ANN) and genetic algorithm (GA) to develop data driven models followed by optimization to design high efficiency nanocomposites based on CNT dispersed in polyaniline (PANI) matrix. Our models suggest that CNT concentration plays the most crucial role in determining ZT. Non-dominated Pareto optimal solutions consisting of different combinations of design variables are obtained by multi-objective optimization. Although a range of optimal solutions span over different regions of the search space, in general we note that longer CNTs boost Seebeck coefficient (S) and electrical conductivity (σ), and smaller length lowers thermal conductivity (k), while higher diameter of CNTs increase S and lowers σ and k. The results provide a general guideline for developing CNT-PANI nanocomposites with enhanced TE figure of merit.

Advancing water security in Africa with new high-resolution discharge data

VegDischarge v1, which covers over 64,000 river segments in Africa, is a natural river discharge dataset produced by coupled modeling; the agro-hydrologic VegET model and the mizuRoute routing model for the period 2001-2021. Using remote sensing data and hydrological modeling system, the 1-km runoff field simulated by VegET, was routed with mizuRoute. Performance metrics show strong model reliability, with R² of 0.5–0.9, NSE of 0.6–0.9, and KGE of 0.5–0.8 at the continental scale. The total average annual discharge for Africa is quantified at 3271.4 km³·year−1, with contributions to oceanic basins: 1000.0 km³·year−1 to the North Atlantic, primarily from the Senegal, Gambia, Volta, and Niger Rivers; 1327.2 km³·year−1 to the South Atlantic, largely from the Congo River; 214.7 km³·year−1 to the Mediterranean Sea, predominantly from the Nile River; and 729.4 km³·year−1 to the Indian Ocean, with inputs from rivers such as the Zambezi. The dataset is valuable for stakeholders and researchers to understand water availability, its temporal and spatial variations that affect water-related infrastructure planning, sustainable resource allocation, and the development of climate resilience strategies.

Evaluation of the Development Effectiveness of Intellectual Property Operation for Science and Technology-based Small and Medium-sized Enterprises: Based on the Research Data of Qinchuangyuan Innovation Driving Platform

Science and technology-based enterprises promote national economic growth and facilitate scientific and technological innovation. This study takes the development of Intellectual Property (IP) operation of science and technology-based enterprises as the research object and constructs a relevant evaluation index system. It also takes the data of 112 small and medium-sized science and technology-based enterprises within the Qinchuangyuan Innovation Driving Platform as an example, conducts statistical analysis and case analysis, and concludes development strategies. The results of the study provide policy suggestions for further strengthening and promoting the development of intellectual property operation by enhancing the efficiency of the IP operation system and policy services for small and medium-sized enterprises (SMEs) in science and technology, promoting the construction of supporting facilities and improving employee satisfaction; as well as simplifying the IP filing procedures, optimizing the financing environment, and establishing a platform for regular evaluation and information sharing to accelerate the transformation of IP; and at the same time, implementing a mechanism for efficient policy fulfillment and departmental linkages to enhance the implementation of the policies and form a high-quality business environment that will help SMEs in their development and technological innovation of SMEs.

Highly Elastic Full Hydrocarbon Ultralong RTP Polymers with Visible Light Excitable S0→T1 Population

AbstractHighly elastic ultralong organic room temperature phosphorescence (RTP) polymers are highly desired in wearable optoelectronic fields, but they are hardly realized in rubbers since chain segment motions deactivate triplet excitons. In the current work, it is revealed that polystyrene (PS) can inhibit triplet thermal deactivation of coronene (Cor), and it is the serious oxygen diffusion and quenching that disables RTP emission of Cor/polymers. In view of oxygen barrier function of rubbers, PS−polyisoprene−PS tri‐block elastomers (SIS) are used as Cor's doping matrices. The results show that Cor/SIS sheets show bright and ultralong afterglow with RTP lifetime up to 3.64 s in air after brief 365 nm light excitation. More impressively, Cor/SIS and its red fluorescent dye doped sheets all exhibit ultralong room temperature afterglow under large dynamic elastic deformation. Further, all these sheets exhibit long‐wave blue light excited afterglow despite Cor/SIS having no visible light absorption band, and the unique photoexcitation and emission mechanism is verified. This work not only provides the development strategy of the latest elastic RTP materials, but also will evoke a fresh understanding on organic doped RTP polymers.

Techno-Economic Assessment of Hydrogen Production in Ghana through PV Electrolysis and Biomass Gasification

Abstract The potential to develop a green hydrogen market in Ghana is assessed in this paper. The focus is on biomass gasification and photovoltaic-driven water electrolysis. Using the H2A-Lite model, the technical, economic, and environmental aspects of these technologies are assessed for both current (2023) and future (2040) scenarios. In the current scenario, distributed and centralized Polymer Electrolyte Membrane (PEM) electrolysis gave levelized costs of $5.56/kg and $4.35/kg for hydrogen respectively, while centralized biomass gasification yields the cheapest hydrogen cost at $2.68/kg. The high cost of solar PEM electrolysis is linked to expensive electricity and solar PV, but also to compression, storage, and dispensing costs for distributed systems. By year 2040, a general cost reduction is expected due to cheaper renewable energy and increased efficiency. However, these production methods still face competition from more economical conventional steam methane reforming (SMR) processes having a levelized cost of less than $2/kg H2. The study concludes that a hydrogen development strategy and roadmap for Ghana will be crucial to proceed with hydrogen, setting deployment targets, and engaging stakeholders in promoting the use of hydrogen as an energy carrier while creating new economic opportunities and achieving climate objectives.

Identification Model of Traditional Village Cultural Landscape Elements and Its Application from the Perspective of Living Heritage—A Case Study of Chentian Village in Wuhan

At present, there are limitations in the cognition of the elements of traditional village cultural landscapes, less excavation of the elements of production-type cultural landscapes, little attention to the layering of cultural landscapes in different periods and the correlation between the elements of different types of cultural landscapes, and insufficient research on the living continuity of traditional village cultural landscapes. In the context of rural cultural revitalization, it is necessary to explore strategies for the conservation and development of traditional village cultural landscapes from the perspective of living heritage. By interpreting the core connotation of the concepts of living heritage and cultural landscape, a model of traditional village cultural landscape elements and a framework for the identification of living elements are constructed. On the above basis, Chentian Village in Wuhan is taken as an example to identify its living cultural landscape elements, and to analyze the evolution of its cultural landscape elements from the dimension of “time-function”. In Chentian Village, a total of seventeen cultural landscapes were identified. Of these, ten were cultural landscapes with functional continuity and living heritage characteristics; three were cultural landscapes whose existing functions have changed significantly from their initial functions; and four were cultural landscapes that were inactive and have lost their original functions. Finally, this study proposes corresponding protection and development strategies for living heritage and non-living heritage of cultural landscapes.

The Landscape as a Pillar of the Metropolis of Tomorrow: Sustainable Strategies for Better Integration in Annaba, Algeria

Objectives: This study aims to address the urban and landscape challenges faced by Annaba, a city in Algeria, due to environmental degradation resulting from rapid urbanisation and rural-to-urban migration. Once celebrated for its natural beauty, Annaba now seeks to restore its appeal and improve the quality of life for its residents. The objective is to demonstrate how integrating the landscape into urban planning can play a crucial role in sustainable development, preserving the city's unique identity, and enhancing its social, ecological, and aesthetic environment. Methods: Our approach involves a thorough analysis of Annaba’s landscape characteristics and biodiversity, exploring strategies for reintegration into urban planning frameworks. We focus on the coastal landscape as a primary asset in planning recommendations. This study reviews existing literature on sustainable urban planning, biodiversity conservation, and landscape integration in cities experiencing similar environmental and demographic shifts. Results: The findings suggest that integrating landscape elements into urban planning in Annaba would significantly enhance its ecological and aesthetic appeal. A sustainable development approach that prioritises the landscape can help to combat environmental degradation, improve the quality of urban life, and strengthen the city’s identity. Specific recommendations emphasize preserving coastal and natural features to support biodiversity and attract residents and tourists alike. Conclusion: Reintegrating landscape considerations into Annaba’s urban development strategy is essential for addressing present and future challenges. This approach would not only protect the city's natural assets but also promote a sustainable and appealing urban environment. By focusing on the landscape as a foundation of urban planning, Annaba can redefine its developmental path, offering a model of sustainable growth for other Mediterranean cities facing similar issues.

How Creative Economy Development Plays a Role as a Driving Force in Community-Based Tourism Village Development? An Empirical Study in Central Java Province

This study aims to develop a Creative Economy Development Strategy as a Driving Force for Community-Based Tourism Village Development. This study uses quantitative and qualitative approaches. This study uses primary and secondary data. Data collection methods in this study include observation, interviews, documentation, and questionnaires. The questionnaire in this study was addressed to key persons consisting of several elements including academics, government, society, NGOs, Communities, and also the private sector. The results of this study indicate that Infrastructure and Accessibility and Policy and Regulatory Support have the highest weights, which means that supporting factors such as infrastructure and government policies are very important in the development of creative economy-based tourism villages. Policy and Regulatory Support and Local Human Resource Empowerment are the next priority criteria. Provision of Grants and Subsidies for Creative MSMEs has the highest final score, which means that these elements are alternative strategies that are the main priority for driving the creative economy. Improving Road Connectivity to Villages, Training in Crafts, Fine Arts, and Local Culinary, and Adding Tourism Support Facilities are important strategies to increase the attractiveness and accessibility of tourism villages. The development of galleries or showrooms for MSME products and digital campaigns through social media are also considered strategic in supporting the promotion of local creative products.

Effects of Different Wheat Varieties on Soil Bacterial and Fungal Communities

ABSTRACTThe diversity and stability of soil microbial communities are indispensable components for maintaining the functions and services of agricultural ecosystems and play crucial roles in wheat production. However, the effects of different wheat varieties on soil microbial diversity, network complexity, stability, and assembly mechanisms remain largely unexplored. To bridge this research gap, we conducted field experiments in Chuzhou, China, to study the yield and soil microbial community composition of six different wheat varieties. The soil bacterial and fungal communities were investigated using high‐throughput sequencing of the 16S rRNA and ITS gene regions. Our findings indicated that, compared to common wheat, high‐yielding and disease‐resistant (HD) wheat increased both bacterial and fungal α‐diversity by regulating soil nitrogen and phosphorus concentrations, significantly affecting community structure (Adonis, p < 0.001). HD wheat significantly altered the co‐occurrence network patterns of soil microbial communities. Network analyses revealed that HD wheat increased the complexity of fungal networks while exhibiting the opposite trend for bacterial networks. However, both the bacterial and fungal networks demonstrated increased stability. Furthermore, HD wheat may increase microbial migration rates, influencing assembly processes by promoting stochastic processes in bacterial and fungal communities. Overall, this study provides valuable insights into the ecological functions and driving factors of soil microbes, offering information for the development of ecological management strategies to achieve sustainable wheat cultivation and improve soil quality. Furthermore, HD wheat significantly modified the co‐occurrence network patterns of the soil microbial communities. Network analysis revealed increased fungal network complexity in HD wheat, whereas bacterial networks showed the opposite trend. However, both the bacterial and fungal networks exhibited enhanced stability. Additionally, HD wheat likely increased microbial migration rates, influencing assembly processes by promoting stochastic processes in both bacterial and fungal communities. Overall, this study provides valuable insights into the ecological functions and driving factors of soil microbes, providing information for the development of ecological management strategies to achieve sustainable wheat cultivation and improve soil quality.

Modeling the Impact of Global Warming on Ecosystem Dynamics: A Compartmental Approach to Sustainability

Environmental degradation driven by human activities has heightened the need for sustainable development strategies that balance economic growth with ecological preservation. This study uses a compartmental model approach to examine the effects of global warming on ecosystem dynamics, focusing on how rising temperatures alter interactions across trophic levels. Three case studies of varying complexity, including a human ecosystem incorporating social and economic factors, were analyzed by integrating feedback loops between greenhouse gas emissions, temperature anomalies, and ecosystem responses. The results quantitatively demonstrate that even minor disruptions in one part of an ecosystem can cause significant instability across trophic levels, potentially driving the system to collapse in a short period. These findings from all case studies highlight the cascading impacts of global warming, underscoring the intricate relationship between climate change and ecosystem stability. Furthermore, this study offers qualitative insights into the potential consequences of climate change on biodiversity and resource availability in real ecosystems, highlighting the vulnerability of such systems and the importance of incorporating feedback mechanisms into environmental policy and decision-making processes. The approach employed in this study offers a more robust framework for understanding ecosystem responses and for developing strategies to enhance resilience against climate change, thereby protecting the long-term sustainability of ecosystems.

Research on Multi-Scenario Simulation of Urban Expansion for Beijing–Tianjin–Hebei Region Considering Multilevel Urban Flows

With the development of urban agglomerations in China, the study of the interactions between cities has become a popular and difficult issue. Exploring the interactions between cities can help decision-makers optimize regional resource allocation and improve regional spatial patterns. Combining the urban flow model and the patch-generating land use simulation (PLUS) model, this study simulates and analyzes the process of urban expansion in the Beijing–Tianjin–Hebei (BTH) region, and investigates the impact of urban hierarchical structure differences on urban expansion. In this study, the role and influence of inter-city economy flow, transportation flow, population flow, and information flow on the development of urban agglomerations are comprehensively considered, and a multilevel urban interaction model is constructed based on a hierarchical generalized linear model (HGLM). Based on the national BTH cooperation and development strategy, a multi-scenario simulation study of urban expansion is carried out using the HGLM-PLUS model. The results indicate the following: (1) compared to the traditional PLUS model, the coupled HGLM-PLUS model, which considers multilevel urban flows, improved the overall accuracy by 0.047, the Kappa coefficient by 0.207, and the figure of merit (FoM) index by 0.051; (2) under different simulation scenarios, the development trend under the cooperation and development policy in the BTH region is more stable, demonstrating a relatively smooth urbanization expansion trend; and (3) under the BTH cooperation and development background, the total area of construction land in the BTH region is expected to be maintained at around 1,164,500 km2 by 2040. The spatial expansion pattern will present a networked expansion with the core driving development, axes and belts connecting, and clusters breaking through.

Resource pulses drive spatio‐temporal dynamics of non‐native bark beetles and wood borers

Abstract Clear‐fell harvesting of non‐native plantation forests in the southern hemisphere creates large amounts of woody debris that is used for breeding by non‐native bark beetles and wood borers. Limited competition and a shortage of natural enemies allow some invasive pine bark beetles and wood borers to become highly abundant and cause phytosanitary issues. Replicated transects (550–750 m long) of funnel traps baited with alpha‐pinene and ethanol spanning even‐aged Pinus radiata stands were established in New Zealand's largest plantation forest and monitored from pre‐harvest until up to 5 years post‐harvesting to test the effects of harvesting residue resource pulses on the spatio‐temporal population dynamics of Hylurgus ligniperda, Hylastes ater and Arhopalus ferus. Generalised additive mixed model analyses of trap captures of >687,000 H. ligniperda, >7600 H. ater and >5000 A. ferus individuals showed greatly elevated populations for the first 2–3 years post‐harvest. Subsequently, populations returned to very low levels once the resource pulse was exhausted. Spatial patterns of captures reflecting beetle dispersal from breeding material showed a curvilinear decline along the breeding resource gradient by up to 95% from the interior of a recently harvested stand into an adjacent, previously harvested stand with exploited resources. Synthesis and applications. The results show that forest management characterised by ongoing harvesting of neighbouring stands facilitates the build‐up of large populations of bark beetles and wood borers of phytosanitary concern. This is due to recurrent resource pulses caused by the supply of substantial amounts of breeding material from tree felling. Our findings can inform forest planning aimed at avoiding such harvesting patterns, by assisting with the development and implementation of strategies for the management of beetle populations across the landscape. Most beetles dispersed <400 m beyond the source stand edge, although some beetles are likely to have dispersed further. Keeping a distance of 1–2 km between recently felled stands and those scheduled for felling would be expected to reduce rapid population growth. This knowledge can also be used to reduce seedling attack, minimise infestation of logs, and ultimately, mitigate pathway and biosecurity risks, with important implications for forest product exports and quarantine measures.

Comprehending geometry proofs: A study on prospective mathematics teachers' perceptions and preferences of proof formats

The explicative aim of this research is to investigate the optics of proof format preferences held by prospective mathematics teachers (PMTs), in an effort to assess the effect that such preferences may have on their understanding of geometric proofs. The researchers employed a qualitative case study approach, in which six PMTs participated in Focus Group Discussions (FGDs) on the three styles of proof: paragraph proof, two-column proof and flow-chart proof. The methodology employed also focused on the formatting models by exploring the participants’ suggestions regarding each format in order to determine their cognitive responses as well as their preferences. The study exposes different preferences among PMTs which are a result of their personal cognitive style and experience with proofs. Some of the PMTs preferred the two-column format due to its systematic and logical nature, other PMTs preferred the storytelling nature of the paragraph proof format sponsored also flow-chart representation. These preferences bring out the requirement for the development of pedagogical strategies that employ different proof formats in order to meet the needs of different types of learners for effective understanding. In summary, this research demonstrates the need for customizing proof instruction to different students’ needs which can hopefully enhance PMTs’ responses and interactions with the concept of mathematical proofs. The practical outcomes show that teachers should not be afraid to think in more flexible witnessing forms of proof in order to aid students learning while minimizing the cognitive load in line with the principles of constructivist learning. It would be worthwhile however to extend this research and examine what these preferences would mean for the future and how those would fit within the context of online education with the overall aim of creating a better mathematics curriculum that is more effective and has a wider reach.

Bacterial communities in Asecodes hispinarum (Hymenoptera: Eulophidae) and its host Brontispa longissima (Coleoptera: Chrysomelidae), with comparison of Wolbachia dominance.

The endoparasitoid Asecodes hispinarum (Bouček) (Hymenoptera: Eulophidae) serves as an effective biological control agent against Brontispa longissima (Gestro) (Coleoptera: Chrysomelidae), a notorious palm pest. Endosymbionts found in parasitoids and their hosts have attracted significant attention due to their substantial influence on biocontrol efficacy. In this study, we employed 16S rRNA sequencing, polymerase chain reaction, and fluorescence in situ hybridization to assess the symbiotic bacteria composition, diversity, phylogeny, and localization in A. hispinarum and its host B. longissima. Our findings showed significant differences in the richness, diversity, and composition of symbiotic bacteria among different life stages of B. longissima. Notably, the bacterial richness, diversity, and composition of A. hispinarum was similar to that of B. longissima. Firmicutes and Proteobacteria were the dominant phyla, while Wolbachia was the dominant genera across the parasitoid and host. It was discovered for the first time that Wolbachia was present in A. hispinarum with a high infection rate at ≥ 96.67%. Notably, the Wolbachia strain in A. hispinarum was placed in supergroup A, whereas it was categorized under supergroup B in B. longissima. Furthermore, Wolbachia is concentrated in the abdomen of A. hispinarum, with particularly high levels observed in the ovipositors of female adults. These findings highlight the composition and diversity of symbiotic bacteria in both A. hispinarum and its host B. longissima, providing a foundation for the development of population regulation strategies targeting B. longissima.

Repeat airborne laser scanning to assess canopy height changes in tropical montane forests

Abstract. Tropical montane forests are vital ecosystems globally, preserving biodiversity, carbon stocks, and capturing moisture. We employed two airborne laser scanning (ALS) data sets to study changes in montane forest canopy heights in the Taita Hills, Kenya between 2014/2015 and 2022. We studied two forests, Ngangao (129 ha) and Yale (57 ha), which encompassed both indigenous montane forest and exotic plantations. First, forest types were mapped using field observations and aerial imagery, and then, canopy height changes were analysed using canopy height models at spatial resolution (i.e. the cell size) ranging from 1 m to 20 m. The results revealed overall increase in canopy height in the studied forests, with considerable spatial variation between the forest segments and main tree species. Planted exotic tree species, particularly eucalyptus but also pine and cypress, exhibited faster growth rates than native tree species. Point density differences between the ALS data sets can cause bias to estimation of canopy height changes. However, we observed that reducing the cell size of the canopy height models from 1 m to 10 m and 20 m, decreased the positive trend between point density difference and overestimation of canopy height change due to higher point density of more recent ALS data set. These findings contribute to our understanding on spatial complexity of montane forest ecosystems dynamics and help informing forest monitoring and development of management strategies for fragmented forests in montane regions.

Parkinson disease therapy: current strategies and future research priorities.

Parkinson disease (PD) is the fastestgrowing neurological disorder globally and poses substantial management challenges owing to progressive disability, emergence of levodopa-resistant symptoms, and treatment-related complications. In this Review, we examine the current state of research into PD therapies and outline future priorities for advancing our understanding and treatment of the disease. We identify two main research priorities for the coming years: first, slowing the progression of the disease through the integration of sensitive biomarkers and targeted biological therapies, and second, enhancing existing symptomatic treatments, encompassing surgical and infusion therapies, with the goal of postponing complications and improving long-term patient management. The path towards disease modification is impeded by the multifaceted pathophysiology and diverse mechanisms underlying PD. Ongoing studies are directed at α-synuclein aggregation, complemented by efforts to address specific pathways associated with the less common genetic forms of the disease. The success of these efforts relies on establishing robust end points, incorporating technology, and identifying reliable biomarkers for early diagnosis and continuous monitoring of disease progression. In the context of symptomatic treatment, the focus should shift towards refining existing approaches and fostering the development of novel therapeutic strategies that target levodopa-resistant symptoms and clinical manifestations that substantially impair quality of life.

Effects of dust and rainfall on the relative reflectivity of linear Fresnel reflectors

Dust and rainfall have been key issues affecting outdoor solar concentrating systems. This study aimed to accurately evaluate the specific effects of dust and rainfall on linear Fresnel reflectors in semi-arid regions. Targeted outdoor experiments on dust and rainwater were conducted in Hohhot, Inner Mongolia, from September to December 2023. A predictive model is developed to assess the effect of rainfall on reflectivity under conditions of dust accumulation, based on the physical properties of outdoor-exposed dust. The study reveals that after 60 days of exposure, the reflectivity decreased at a rate of 0.25 % per day due to mirror dust, particularly within the 380–780 nm wavelength range, reaching 21.62 %. The rainfall leads to four distinct conditions, namely pitting, surface corrosion, gully corrosion, and overall corrosion on the dusty mirror. During the gully corrosion and corrosion stages, the reflectivity significantly improved. Rainfall below 0.4 mm barely cleaned mirror dust, whereas rainfall exceeding 26.70 mm provided substantial cleaning but reached a saturation point with additional rainfall. These findings contribute to the development of cost-effective cleaning strategies for similar climatic conditions.

Automatic Detection of Trees using Airborne LiDAR Data Based on Geometric Characteristics

Abstract. One of the essential factors in analyzing urban environments is the presence of trees. Thus, the development of automatic or semi-automatic tree detection strategies is important for monitoring and providing data for municipal authorities’ planning efforts. In this context, we propose an automatic method for detecting trees using LiDAR data collected by airborne platforms. The proposed strategy uses the omnivariance as a key attribute, which is estimated locally from eigenvalues. Additionally, it utilizes an adaptive process to determine the optimal radius, followed by successive filtering based on the majority filter and mathematical morphology operators. The effectiveness of the proposed approach was evaluated on six study areas from two distinct datasets (Presidente Prudente/Brazil and Palmerston/New Zealand). In general, the results indicate a completeness rate around 99% and a correctness rate around 91%, resulting in an average Fscore of 95%. These findings suggest that the proposed approach has potential to detect trees in urban regions using airborne LiDAR data. Compared to related works, the proposed strategy tends to have a better result in terms of completeness.

Recent Advances in Immobilizing and Benchmarking Molecular Catalysts for Artificial Photosynthesis.

Transition metal complexes have been widely used as catalysts or chromophores in artificial photosynthesis. Traditionally, they are employed in homogeneous settings. Despite their functional versatility and structural tunability, broad industrial applications of these catalysts are impeded by the limitations of homogeneous catalysis such as poor catalyst recyclability, solvent constraints (mostly organic solvents), and catalyst durability. Over the past few decades, researchers have developed various methods for molecular catalyst heterogenization to overcome these limitations. In this review, we summarize recent developments in heterogenization strategies, with a focus on describing methods employed in the heterogenization process and their effects on catalytic performances. Alongside the in-depth discussion of heterogenization strategies, this review aims to provide a concise overview of the key metrics associated with heterogenized systems. We hope this review will aid researchers who are new to this research field in gaining a better understanding.