Opportunities For Applications Research Articles

Deep Learning Approach on Prediction of Soil Consolidation Characteristics

Artificial neural network models, crucial for accurate predictions, should be meticulously designed for specific problems using deep learning-based algorithms. In this study, we compare four distinct deep learning-based artificial neural network architectures to evaluate their performance in predicting soil consolidation characteristics. The consolidation features of fine-grained soil have a significant impact on the stability of structures, particularly in terms of long-term stability. Precise prediction of soil consolidation under planned structures is vital for effective foundation design. The compression index (Cc) is an important parameter used in predicting consolidation settlement in soils. Therefore, this study examines the use of deep learning techniques, which are types of artificial neural network algorithms with deep layers, in predicting compression index (Cc) in geotechnical engineering. Four neural network models with different architectures and hyperparameters were modeled and evaluated using performance metrics such as mean absolute percentage error (MAPE), mean squared error (MSE), root mean squared error (RMSE), and coefficient of determination (R2). The dataset contains 916 samples with variables such as natural water content (w), liquid limit (LL), plasticity index (PI), and compression index (Cc). This approach allows the results of soil consolidation tests to be seen more quickly at less cost, although predictively. The findings demonstrate that deep learning models are an effective tool in predicting consolidation of fine-grained soil and offering significant opportunities for applications in geotechnical engineering. This study contributes to a more accurate prediction of soil consolidation, which is critical for the long-term stability of structural designs.

Mechanically Programmable Composite Metamaterials with Switchable Positive/Negative Poisson's Ratio

AbstractDesign of mechanical metamaterials with a negative Poisson's ratio (NPR), known as auxetics, is of great importance in the development of flexible electronics and tissue engineering. However, the mechanical performance of conventional auxetic metamaterials is largely hindered by the high porosity and lack of tunability, which restricts their practical engineering applications. Here, this study presents a programmable approach for designing integrated two‐phase auxetic composite metamaterials with pore‐free structure, robust interfaces, and customized mechanical properties by substituting the vacancy of the auxetic lattices (frame phase) with hydrogel‐based soft fillers (matrix phase). Manipulated by two‐phase stiffness contrast, integrated composite metamaterials exhibit a functional transition between auxetic and non‐auxetic behaviors. Rationally designing Young's modulus ratios in spatial domains endows the programming of composite metamaterials with the desired spatial heterogeneity. Furthermore, the incorporation of temperature‐responsive hydrogels to auxetic frames also enbles the development of dynamic programmable composites with the thermo‐driven adaptability. As a practical application demonstration, designed programmable composites are used to dynamically tune the phononic bandgaps. The design strategy of integrated two‐phase composite metamaterials paves the way for the development of advanced auxetic engineering materials with programmable mechanical properties, providing opportunity for conformal electronic patches, bio‐scaffolds, and smart functionality applications.

Revolutionizing in vivo therapy with CRISPR/Cas genome editing: breakthroughs, opportunities and challenges.

Genome editing using the CRISPR/Cas system has revolutionized the field of genetic engineering, offering unprecedented opportunities for therapeutic applications in vivo. Despite the numerous ongoing clinical trials focusing on ex vivo genome editing, recent studies emphasize the therapeutic promise of in vivo gene editing using CRISPR/Cas technology. However, it is worth noting that the complete attainment of the inherent capabilities of in vivo therapy in humans is yet to be accomplished. Before the full realization of in vivo therapeutic potential, it is crucial to achieve enhanced specificity in selectively targeting defective cells while minimizing harm to healthy cells. This review examines emerging studies, focusing on CRISPR/Cas-based pre-clinical and clinical trials for innovative therapeutic approaches for a wide range of diseases. Furthermore, we emphasize targeting cancer-specific sequences target in genes associated with tumors, shedding light on the diverse strategies employed in cancer treatment. We highlight the various challenges associated with in vivo CRISPR/Cas-based cancer therapy and explore their prospective clinical translatability and the strategies employed to overcome these obstacles.

Evaluating genotyping‐in‐thousands by sequencing as a genetic monitoring tool for a climate sentinel mammal using non‐invasive and archival samples

AbstractGenetic tools for wildlife monitoring can provide valuable information on spatiotemporal population trends and connectivity, particularly in systems experiencing rapid environmental change. Multiplexed targeted amplicon sequencing techniques, such as genotyping‐in‐thousands by sequencing (GT‐seq), can provide cost‐effective approaches for collecting genetic data from low‐quality and quantity DNA samples, making them potentially useful for long‐term wildlife monitoring using non‐invasive and archival samples. Here, we developed a GT‐seq panel as a potential monitoring tool for the American pika (Ochotona princeps) and evaluated its performance when applied to traditional, non‐invasive, and archival samples, respectively. Specifically, we optimized a GT‐seq panel (307 single nucleotide polymorphisms (SNPs)) that included neutral, sex‐associated, and putatively adaptive SNPs using contemporary tissue samples (n = 77) from the Northern Rocky Mountains lineage of American pikas. The panel demonstrated high genotyping success (94.7%), low genotyping error (0.001%), and excellent performance identifying individuals, sex, relatedness, and population structure. We subsequently applied the GT‐seq panel to archival tissue (n = 17) and contemporary fecal pellet samples (n = 129) collected within the Canadian Rocky Mountains to evaluate its effectiveness. Although the panel demonstrated high efficacy with archival tissue samples (90.5% genotyping success, 0.0% genotyping error), this was not the case for the fecal pellet samples (79.7% genotyping success, 28.4% genotyping error) likely due to the exceptionally low quality/quantity of recovered DNA using the approaches implemented. Overall, our study reinforced GT‐seq as an effective tool using contemporary and archival tissue samples, providing future opportunities for temporal applications using historical specimens. Our results further highlight the need for additional optimization of sample and genetic data collection techniques prior to broader‐scale implementation of a non‐invasive genetic monitoring tool for American pikas.

Control of growth kinetics during remote epitaxy of complex oxides on graphene by pulsed laser deposition

Remote epitaxy through 2D materials opens new opportunities for research and application, overcoming some limitations of classical epitaxy and allowing the creation of freestanding layers. However, using graphene as a 2D interlayer for remote epitaxy of metal oxides is challenging, particularly when carried out by pulsed laser deposition (PLD). The graphene layer can be easily oxidized under the typically applied high oxygen pressures, and the impact of highly kinetic particles of the plasma plume can lead to severe damages. In this study, both aspects are addressed: Argon is introduced as an inert background gas in order to avoid oxidation and to reduce the kinetic impact of the plasma species on graphene. The laser spot size is minimized to control the plasma plume and particle flux. As a model system, strontium titanate (STO) is quasi-homoepitaxially grown on graphene buffered STO single crystals. Raman spectroscopy is performed to evaluate the 2D, G, and D band fingerprints of the graphene layer and to assess the defect structure of the interlayer after the deposition. Our results prove that control of the growth kinetics by reducing the laser spot size and by using high argon pressures provides a key strategy to conserve graphene with a low defect density during PLD while allowing a layer-by-layer growth of structurally coherent oxide layers. This strategy may be generalized for the PLD remote epitaxy of many complex oxides, opening the way for integrating 2D materials with complex oxides using widely accessible PLD processes.

Parents’ perspectives on using a Family Medication Safety Plan designed to promote appropriate opioid prescription practices with adolescents

BackgroundResearch has underscored the vulnerability of adolescents to opioid misuse, creating a call to action for researchers and practitioners to identify ways to reduce the youths’ risk of opioid misuse. Although strategies have previously been proposed, few studies have targeted and designed interventions for adolescents and their families. The Family Medication Safety Plan (FMSP) was developed to provide families with a tool to encourage early education and conversation and promote safe use of prescription opioid medications in their homes. ObjectivesThis study aimed to understand parent perceptions of using the FMSP for potential opioid prescriptions and identify opportunities for widespread application and improvement. MethodsParents living in the United States with access to a webcam-enabled computer were recruited via social media, e-mail listservs, snowball sampling, and Qualtrics research panels. Parents were given the FMSP and asked to complete the worksheet with their child aged 12-18 years. Parents were then scheduled for a 30-minute, semistructured interview to elicit feedback. Interviews were transcribed verbatim by professional transcriptionists before being uploaded to NVivo for thematic and content analysis. ResultsParents (N = 59) were interviewed and had positive impressions of using the FMSP in their homes. Prevalent themes identified included how the FMSP format could be modified and how the parents would use it in their family. Many participants identified ways in which different health care providers could be used as a resource to make the FMSP more accessible and useful for their family unit. ConclusionParents indicated that the FMSP was a beneficial tool for integration and evaluation of safe medication practices in homes. Participants suggested that this tool was most valuable when used for the specific needs of each family, indicating that modifying the FMSP to make it in a more flexible format such that it may improve uptake.

Analysis of the practical implementation of the mechanism of unaccountable form of VAT calculation

In the author's scientific article "The need and prerequisites for conducting an unaccountable form of VAT calculation", potential opportunities for the practical application of a new concept of VAT calculation, the essence of which is to simplify the calculation procedure, consisting in the abolition of a number of requirements, rules and procedures. The tax authorities will only issue electronic invoices, according to which the authorities will calculate the tax automatically. The new concept will entail a change in the procedure for calculating tax and its administration, which may lead to incorrect calculation of tax and may cause an increase in shortfall in state revenues, which requires a preliminary calculation of such losses. Since there are many rules and benefits, losses can be obtained from each such factor, which requires an analysis of state revenues for each article. The purpose of this work is to identify VAT transactions with the maximum risk of incorrect calculation of VAT by the tax authority on the invoice. The main conclusion in this work is the presence of risks of incorrect filling of the taxpayer's invoice and calculation of tax by the tax authority at the level of 30%, which is explained by the fact that about 70% of invoices do not contain features and subtleties, but are compiled as a general rule in the form of applying a tax rate of 20% to each sale according to the corresponding the invoice. However, these risks can be minimized by minor revision of the invoice without significant addition of new details, since each additional detail entails the risk of incorrect filling in, which increases the likelihood of erroneous registration of the document.

Physicochemical cell disruption of Bacillus sp. for recovery of polyhydroxyalkanoates: future bioplastic for sustainability

Polyhydroxybutyrate (PHB) is known for wide applications, biocompatibility, and degradability; however, it cannot be commercialized due to conventional recovery using solvents. The present study employed mechanical cell-disruption methods, such as Pestle and mortar, sonication, and glass bead vortexing, for solvent-free extraction of PHA from Bacillus sp. Different time intervals were set for grinding (5, 10, 15 min), sonicating (1, 3 and 5 min), and vortexing (2, 5 and 8 g glass beads with 5, 10 and 15 min each) hence studying their effect on cell lysis to release PHA. Tris buffer containing phenylmethyl sulfonyl fluoride (PMSF) (20 mM Tris–HCl, pH 8.0, 1 mM PMSF) was employed as a lysis buffer to study its action over Bacillus cells. Its presence was checked with the above methods in cell lysis. Sonicating cells for 5 min in the presence of lysis buffer achieved a maximum PHA yield of 45%. Cell lysis using lysis buffer yielded 35% PHA when vortexing with 5 g glass beads for 15 min. Grinding cells for 15 min showed a maximum yield of 34% but lacked a lysis buffer. The overall results indicated that the action of lysis buffer and physical extraction methods improved PHA yield by %. Therefore, the study sought to evaluate the feasibility of applying laboratory methods for cell disruption. These methods can showcase possible opportunities in large-scale applications. The polymer yield results were compared with standard sodium hypochlorite extraction. Confirmation of obtained polymers as polyhydroxy butyrate (PHB) was made through FTIR and 1HNMR characterization.

DIGITAL TRANSFORMATION CYCLE IN BUSINESS LANDSCAPE: THE MANAGERIAL PERSPECTIVE

Research on digital transformation activities on top managers of businesses has revealed that a most executives believes that they can buy digital technology, apply it across the business, and see the benefits within a few months. In similar studies, it was determined that the rate of cases where digital transformation failed in such businesses reached up to 70%. Therefore, considering the depth and scope of change required for companies to be successful in the digital transformation process, these thoughts and expectations of company executives are unrealistic. In addition, it expresses another misconception that it would be sufficient for the digital transformation process to be carried out only by the information technology managers (CIO) and simply the IT team. In this study, the application challenges and opportunities that arise in the digital transformation process will be explained within the framework of changing company business models, and the factors that determine success and failure will be emphasized based on managerial perspective.

GSSC Now: ESA Thematic exploitation platform for navigation digital transformation. Enhancing GNSS scientific research

As Global Navigation Satellite Systems (GNSS) infrastructure expands and more satellites are launched, the number of signals and measurements available to users increases, resulting in a corresponding rise in data generation rates. GNSS receivers with the ability to process triple frequency measurements and multi-constellation reception, have been complemented with the massive deployment of connected, GNSS-enabled devices such as smartphones, wearables, and IoT sensors, triggering the growth of a highly dispersed cloud of GNSS data. This trend observed in other domains presents both challenges and opportunities for applications of GNSS technology.The scientific exploitation of GNSS data involves developing new concepts through the analysis of the aforementioned sources of information. Traditionally, the extraction of insights from GNSS data has relied on searching and downloading datasets from multiple repositories. These datasets provided by numerous organisations are scattered worldwide, containing gems of information difficult to track and discover. This approach hinders research productivity, as scientists are forced to shift their focus from data exploration, analysis, modelling, visualization, and realisation of conclusions to a long list of repetitive and manual tasks of little added value.The GNSS Science Support Centre (GSSC) hosts ESA’s innovative Digital Platform for GNSS, GSSC Now, which integrates a large GNSS repository with cutting-edge features for data exploration and analysis. The paper presents key functionalities of GSSC Now and highlights its value through case studies of real-world GNSS applications. This platform expands established computational limits, placing the data source side-by-side with cloud computing capabilities. The change of paradigm provides scientists with seamless execution of Machine Learning models, interactive algorithms and visualisation tools on a vast repository of GNSS data, removing barriers that hinder research productivity.

Application opportunity of Doppler ultrasound combined with CT angiography in diabetic lower extremity arterial disease and the analysis of the risk factors.

This study examined the potential of combining Doppler ultrasound (DUS) and CT angiography (CTA) for early detection and intervention of lower extremity arterial disease (LEAD) in diabetes.Concurrently, risk factors influencing LEAD progression were analyzed. 106 Type-2 diabetes patients with LEAD, having undergone DUS and CTA, were divided into four stages according to Fontaine stage. Results of DUS and CTA were compared across stages and potential risk factors were analyzed. Positive detection rates of LEAD differed between DUS and CTA for Fontaine stages I and II (P < 0.05), with no significant difference for stages III and IV (P > 0.05). CTA identified subgroups with mild to moderate stenosis and severe stenosis or occlusion, with positive rates on DUS of 17.95% and 89.9% respectively. Hypertension was found as an independent risk factor affecting LEAD progression. CTA should be performed early for LEAD in diabetes patients at Fontaine stages I and II, regardless of DUS results. For diabetes patients with LEAD, stringent blood pressure control is crucial to delay disease progression.

Tin-based perovskite films fabricated by chemical vapor deposition for photodetector application

Tin-based perovskite materials have shown great potential applications in environment-friendly optoelectronic devices. However, it is difficult to control the film growth process by solution method due to the rapid formation speed of the film. In this work, tin-based perovskite (FASnI3) films were prepared by chemical vapor deposition method. The film is mainly composed of thin nanoplates when the deposition temperature is 600 °C. The film shows good antioxidant properties by comparing the ratio between Sn4+ and Sn2+. Time-resolved fluorescence imaging measurements clearly reveal the fluorescence lifetime inhomogeneity in the film. The photodetectors based on tin-based perovskite films show good photo response properties, with a switching ratio of 808. This work provides new opportunities for non-lead perovskite thin film preparation and optoelectronic application.

Accurate additive manufacturing of lightweight and elastic carbons using plastic precursors

Despite groundbreaking advances in the additive manufacturing of polymers, metals, and ceramics, scaled and accurate production of structured carbons remains largely underdeveloped. This work reports a simple method to produce complex carbon materials with very low dimensional shrinkage from printed to carbonized state (less than 4%), using commercially available polypropylene precursors and a fused filament fabrication-based process. The control of macrostructural retention is enabled by the inclusion of fiber fillers regardless of the crosslinking degree of the polypropylene matrix, providing a significant advantage to directly control the density, porosity, and mechanical properties of 3D printed carbons. Using the same printed plastic precursors, different mechanical responses of derived carbons can be obtained, notably from stiff to highly compressible. This report harnesses the power of additive manufacturing for producing carbons with accurately controlled structure and properties, while enabling great opportunities for various applications.

Nanorobotic artificial blood components and its therapeutic applications: A minireview.

Numerous scientific and medical domains have been revolutionized by nanotechnology, opening up unprecedented opportunities for healthcare applications. Among these developments, the creation of nanorobots for artificial blood components is a novel field of research that seeks to overcome the constraints of conventional pharmacological therapy. This review article provides a comprehensive overview of the nanorobotic artificial blood components and their therapeutic uses. The article begins by outlining the core concepts of nanotechnology and nanorobotic systems, emphasizing their design and control methods. It then delves into various types of nanorobotic artificial blood components, such as oxygen transporters (artificial RBCs), clotting agents (artificial platelets), and immune modulators (artificial WBCs). It goes into detail about their properties, functioning, and capabilities, which allow them to replicate the physiological activities of actual blood components. The article also assesses the clinicaluses of artificial blood components in a variety of medical circumstances. It highlights their potential value in the management of certain blood-related diseases.

Challenges in ESP Vocabulary Acquisition: A Study of Vietnamese Non-English Majors

This study investigates the challenges encountered by Vietnamese non-English major university students in their pursuit of English for Specific Purposes (ESP) vocabulary proficiency. Employing a survey-based research methodology, the study collects data from a representative sample of students, with a primary focus on identifying the key difficulties experienced during ESP vocabulary acquisition. The findings reveal significant obstacles in the process, including limited exposure to ESP terminology, difficulties in comprehending and retaining specialized terms, as well as a lack of practical application opportunities. These results emphasize the critical need for tailored teaching strategies and resources to enhance ESP vocabulary learning for non-English majors. Furthermore, the implications of this study extend to language teaching practices, highlighting the necessity for curriculum adjustments that better align with the specific requirements of these learners within the Vietnamese educational context.

Innovations in Molecular Biology-Cutting-Edge Breakthroughs in Molecular Genetics

The field of molecular biology has experienced significant breakthroughs in recent years, driven by cutting-edge technologies and innovative research strategies. This abstract provides a concise overview of some key advancement that has shaped the landscape of molecular biology. One prominent area of progress involves the CRISPR-Cas9 gene editing system, which has revolutionized genetic manipulation. Researchers have refined and expanded its applications, enabling precise modifications to the genome for therapeutic purposes, functional genomics, and the development of genetically modified organisms. In the realm of nucleic acid sequencing, the advent of third-generation sequencing technologies has enhanced the accuracy and efficiency of deciphering complex genomes. Single-cell sequencing techniques have provided unprecedented insights into cellular heterogeneity, unraveling diverse cell populations within tissues and shedding light on the intricacies of developmental processes and disease progression. The integration of omics technologies, such as genomics, transcriptomics, proteomics, and metabolomics, has propelled systems biology to new heights. This holistic approach allows for a comprehensive understanding of biological systems, unveiling intricate molecular networks and signaling pathways. Advanced computational methods and artificial intelligence applications have played a pivotal role in processing and interpreting the vast amounts of data generated by these high-throughput techniques. Furthermore, the exploration of the microbiome's role in health and disease has gained momentum. Advances in metagenomics have enabled a deeper understanding of microbial communities, their interactions, and their impact on host physiology. The identification of specific microbial signatures associated with various diseases has opened avenues for novel therapeutic interventions and personalized medicine. Conclusion: Recent advances in molecular biology have transformed the field, offering unprecedented opportunities for scientific discovery and medical applications. The integration of cutting-edge technologies and interdisciplinary approaches continues to propel molecular biology forward, paving the way for new insights into the complexities of life at the molecular level

Empirical Study on the Influence of Mobile Apps on Improving English Speaking Skills in School Students

Since technology provides adaptable, learner-centered opportunities for language acquisition, smartphones, and mobile applications have become indispensable in the era of Industrial Revolution 4.0, especially in higher education. Research indicates that both teachers and students view mobile learning as an effective tool for learning foreign languages and that mobile-assisted language learning (MALL) has made significant strides in offering resources and language exercises that can be completed at any time and place. The objective of this empirical study is to evaluate how mobile apps affect EFL students' English-speaking abilities and look into the relationship between skill development and app usage frequency. Additionally, it looks for potential moderating and mediating factors that affect how well mobile applications improve English speaking, illuminating the complex dynamics present in the EFL learning environment. The study used a concurrent embedded design and collected data on students' attitudes and views of smartphone English language learning apps (ELLA) through the use of a 26-item questionnaire. The questionnaire had a good degree of internal consistency with a score of 0.95 following data analysis, and t-tests were used to evaluate significant differences between groups. The data were gathered using a Likert scale. The results show that using mobile apps improves English-speaking abilities moderately but consistently, regardless of socioeconomic status. An important factor in this relationship is self-motivation. With beneficial ramifications for educators and legislators, the study highlights the potential of mobile apps as a useful tool for improving English proficiency among different student populations.

Selective adsorption of U(VI) in multi-carbonate solutions by g-C3N4/ZrO2-loaded amidoxime polyacrylonitrile

Uranium extraction from seawater is essential for the sustainable development of nuclear energy. Nevertheless, the complex coexistence of ions in seawater can significantly impact the practical uranium species distribution and uranium adsorption process. In this paper, a novel g-C3N4/ZrO2-loaded amidoxime polyacrylonitrile (g-C3N4/ZrO2-AO) was synthesized and investigated as an adsorbent for uranium in U(VI)–CO3, Ca/Mg–U(VI)–CO3, U(VI)–P–CO3 and U(VI)–X–CO3 (X = F, Cl, Br, I) solutions. The uranium adsorption capacity (qe) of g-C3N4/ZrO2-A reached ∼104.5 + 1.5 mg·g1 in U(VI)–CO3 solution, which correlated with a monolayer chemisorption process. High pH and [NaHCO3] decreased qe values because of the electrostatic repulsion and occupation of adsorption sites by excess CO32-. Adsorption of uranium by g-C3N4/ZrO2-AO was impeded in the Ca/Mg–U(VI)–CO3, U(VI)–P–CO3 and U(VI)–X–CO3 (X = F, Cl, Br, I) solutions, possibly due to the formation of various U(VI) complexes. The amidoxime groups inside the g-C3N4/ZrO2-AO have been proved with good uranium selectivity. FTIR and XPS verified the NH2-CN-OH and Zr-OH acted as the primary U(Ⅵ) adsorption sites. This paper opens up opportunities for practical applications of amidoxime polyacrylonitrile-based composites towards the uranium recovery from seawater.

Nucleophilic amino acids as a renewable alternative to petrochemically-derived amines in glycerol epoxy resins

The standard epoxy resin curing agents revealed are from unsustainable petroleum-based sources, which produce poisonous exhaust when cured. Amino acids, a bio-based epoxy curing agent with amino and carboxyl groups, are another potential curing agent. Water-soluble epoxy resins cured with lysine (Lys), glutamic acid (Glu), leucine (Leu), and serine (Ser) as amino acids were investigated. The results showed that the water-soluble epoxy resin (glycerol epoxy resins, GER) was cured with Lys and Glu after reacting. Fourier transform infrared (FT-IR) spectroscopic analysis of the GER-Lys showed that the amino and carboxyl groups of Lys primarily reacted with the epoxy groups of GER. The elongation at break of Lys-cured GER (GER-Lys) cured at 70 ℃ with a molar ratio of 1꞉0.75 was 75.32%. The fact that elongations at break of GER-Lys (79.43%) were higher than those of GER-Glu (17.33%), respectively supports the decrease of crosslinking density by the amino acid-cured GER reaction. The potential of Lys and Glu alternatives for petrochemical amines is demonstrated and provides promising opportunities for industrial application.

Synthesis of Sustainable Lignin Precursors for Hierarchical Porous Carbons and Their Efficient Performance in Energy Storage Applications.

Lignin-derived porous carbons have great potential for energy storage applications. However, their traditional synthesis requires highly corrosive activating agents in order to produce porous structures. In this work, an environmentally friendly and unique method has been developed for preparing lignin-based 3D spherical porous carbons (LSPCs). Dropwise injection of a lignin solution containing PVA sacrificial templates into liquid nitrogen produces tiny spheres that are lyophilized and carbonized to produce LSPCs. Most of the synthesized samples possess excellent specific surface areas (426.6-790.5 m2/g) along with hierarchical micro- and mesoporous morphologies. When tested in supercapacitor applications, LSPC-28 demonstrates a superior specific capacitance of 102.3 F/g at 0.5 A/g, excellent rate capability with 70.3% capacitance retention at 20 A/g, and a commendable energy density of 2.1 Wh/kg at 250 W/kg. These materials (LSPC-46) also show promising performance as an anode material in sodium-ion batteries with high reversible capacity (110 mAh g-1 at 100 mA g-1), high Coulombic efficiency, and excellent cycling stability. This novel and green technique is anticipated to facilitate the scalability of lignin-based porous carbons and open a range of research opportunities for energy storage applications.