Rapid Growth Research Articles

SiargaoStayFinder: Discover Homestays and Accommodations in Siargao Island

The rapid growth of tourism on Siargao Island has heightened the demand for efficient and accessible accommodations. However, local homestay providers predominantly rely on manual booking processes, which are often time-consuming, lack transparency, and limit both visibility and revenue potential. This study introduces SiargaoStayFinder, a digital platform designed to centralize accommodation options and streamline the booking experience for tourists while enhancing operational efficiency for providers. Using a mixed-methods approach, this research gathered quantitative data from tourists and qualitative insights from homestay providers to assess key needs. Findings indicate a strong demand for features like real-time availability, secure payment options, and user reviews. The system was developed through a structured process that included requirements gathering, system design, implementation, testing, and deployment. The final platform integrates a user-friendly frontend (HTML, CSS, JavaScript) with a secure backend (PHP, MySQL), ensuring smooth and efficient data interactions. By bridging the gap between tourists and local businesses, SiargaoStayFinder not only improves the booking experience but also contributes to sustainable economic growth on the island, providing a model for similar tourism-focused destinations

Neurosurgery in Pakistan: Past, Present, and Future.

Since its independence from India in 1947, Pakistan has struggled with economic crises such as global debt, corruption, constant regime change, and a decades-long war against terrorism. The resulting socioeconomic barriers have stymied efforts to develop a comprehensive and equitably accessible healthcare system, especially regarding safe, timely, and affordable surgical care. This article evaluates neurosurgery's development, current state, and prospects in Pakistan, a lower-middle-income country. We performed a literature search using PubMed and analyzed relevant articles to better understand the state and landscape of neurosurgery in Pakistan. Moreover, we conducted ecological research by querying the databases of the World Bank and the Institute of Health Metrics and Evaluation to evaluate the neurological and neurosurgical disease burden in the Pakistani population. The neurosurgical workforce in Pakistan has demonstrated rapid growth over the past two decades, with approximately 450 neurosurgeons and a neurosurgeon-per-100 000 population density of 0.114. Nonetheless, access to essential neurosurgical procedures for the treatment of diseases such as stroke has been difficult to ensure, which likely contributes to Pakistan's stroke burden, ie, stroke was still the third most common cause of death in 2019, causing 21.7% of all deaths. While Pakistan's political and economic instability has adversely affected the development of neurosurgery, the field has still made great strides and demonstrates a promising future in providing equitable neurosurgical care to all Pakistan's people.

Duckweed: Growth factor and applications in nonfood, food, and health

AbstractDuckweeds are aquatic plants and mainly constitute of five genera, Lemna, Spirodela, Wolffia, Wolffiella, and Landoltia. These are the smallest plants yet having a rapid growth rate. Hence, duckweeds are sustainable food sources for humans and animals, as well as sustainable feedstocks for biochemical production. Previously, duckweeds were discovered for their vital role in water purification by metabolizing chemicals and waste. However, many recent studies have discovered that duckweeds have a high amount of nutrients, which makes them a great substitute in human diets and animal feed. Their nutrient composition and growth rate are greatly affected by environmental factors. Hence, this review summarizes the characteristics of duckweeds, growth rate factors, and their applications in nonfood, food, and health. Duckweeds could improve health due to their large amounts of macro‐ and micronutrients. Future studies on the safety measures and duckweed culture are strongly recommended to safeguard the quality of the plants. Besides that, duckweeds have great potential to be used as heavy metals or contaminants absorbent, as well as a sustainable feedstock for biofuel production.

Long-term trends and future projections of larynx cancer burden in China: a comprehensive analysis from 1990 to 2030 using GBD data

Larynx cancer poses a significant public health challenge in China, with rising incidence and mortality rates over the past decades. Understanding the long-term trends and underlying factors is crucial for effective intervention and policy formulation. Data were utilized from the global burden of disease (GBD) Study 2021 to analyze the incidence, prevalence, mortality, disability-adjusted life years (DALYs), years lived with disability (YLDs), and years of life lost (YLLs) due to larynx cancer in China from 1990 to 2021. Joinpoint regression analysis identified key changes in trends, while age-period-cohort (APC) analysis and decomposition analysis quantified the contributions of aging, epidemiological changes, and population growth to these trends. Our study found a significant increase in the incidence and prevalence of larynx cancer in China, particularly among males. The age-standardized incidence rate (ASIR) and age-standardized mortality rate (ASMR) for males were substantially higher than those for females. Decomposition analysis revealed that aging was the primary driver of increasing incidence and mortality rates, while epidemiological changes had a mitigating effect. Joinpoint analysis identified periods of rapid urbanization and economic growth as key turning points for increased incidence. Bayesian APC models projected a continued upward trend in incidence rates up to 2030. The rising burden of larynx cancer in China underscores the need for targeted public health interventions, including smoking cessation programs, environmental pollution control, and early detection strategies. Addressing gender disparities and implementing effective prevention measures are crucial to mitigating the impact of larynx cancer in China.

Bi-Functional Agarose-Filled Porous Polysulfone Protective Layer for Dendrite-Free Zn Anode.

The uneven electric field and slow Zn2+ desolvation lead to rapid dendrite growth during Zn plating and stripping, which severely deteriorates the performance of Zn metal anodes (ZMAs) in Zn-ion batteries (ZIBs). Although polymer-based artificial protective (PBAP) layers are widely applied to homogenize the electric field of ZMAs, they often fail to promote the desolvation process that eventually induces Zn dendrite growth. Herein, a bi-functional protective layer, comprising a finger-like porous matrix of polysulfone (PSF) and a hydroxyl-rich filler of agarose (AG), is constructed to suppress Zn dendrite growth. COMSOL simulation demonstrates the ZMAs with bi-functional protective layers (Zn@PSF/AG) exhibit uniform electric field and Zn2+ distribution. Besides, the Zn@PSF/AG has both low desolvation energy and nucleation overpotential, effectively promoting the desolvation of Zn2+. Therefore, the Zn@PSF/AG symmetric cell exhibits excellent cycling performance, achieving 4200h at 1mA cm-2/1 mAh cm-2 and 1000h at 5mA cm-2/5 mAh cm-2. When coupling with ZnxV2O5 (ZnVO) cathode, the ZnVO‖Zn@PSF/AG full cell shows similarly high cycling stability, maintaining 72% of its capacity after 7000 cycles at 10 A g-1. This research highlights the positive roles of PBAP layer with multi-functional matrix-filler structure in developing long-life ZIBs.

An Accurate and Efficient Approach to Knowledge Extraction from Scientific Publications Using Structured Ontology Models, Graph Neural Networks, and Large Language Models.

The rapid growth of biomedical literature makes it challenging for researchers to stay current. Integrating knowledge from various sources is crucial for studying complex biological systems. Traditional text-mining methods often have limited accuracy because they don't capture semantic and contextual nuances. Deep-learning models can be computationally expensive and typically have low interpretability, though efforts in explainable AI aim to mitigate this. Furthermore, transformer-based models have a tendency to produce false or made-up information-a problem known as hallucination-which is especially prevalent in large language models (LLMs). This study proposes a hybrid approach combining text-mining techniques with graph neural networks (GNNs) and fine-tuned large language models (LLMs) to extend biomedical knowledge graphs and interpret predicted edges based on published literature. An LLM is used to validate predictions and provide explanations. Evaluated on a corpus of experimentally confirmed protein interactions, the approach achieved a Matthews correlation coefficient (MCC) of 0.772. Applied to insomnia, the approach identified 25 interactions between 32 human proteins absent in known knowledge bases, including regulatory interactions between MAOA and 5-HT2C, binding between ADAM22 and 14-3-3 proteins, which is implicated in neurological diseases, and a circadian regulatory loop involving RORB and NR1D1. The hybrid GNN-LLM method analyzes biomedical literature efficiency to uncover potential molecular interactions for complex disorders. It can accelerate therapeutic target discovery by focusing expert verification on the most relevant automatically extracted information.

From Waste to Protein: Optimizing Rice Husk Utilization for Sustainable Single Cell Protein Production

The increasing global demand for protein has prompted a search for sustainable and cost-effective alternatives to traditional animal and dairy sources. Single-cell protein (SCP) produced from microorganism’s offers a promising solution due to its high protein content and rapid growth rates. This study addresses the challenge of utilizing rice husk, an abundant yet underutilized agricultural waste in Nigeria, as a substrate for SCP production. Through optimization of the production of SCP using Bacillus sp. AT-b3 and Bacillus sp. CMF 12 as model organisms. Molecular identification through 16S rRNA sequencing confirmed Bacillus sp. AT-b3 and Bacillus sp. CMF 12 as the most potent isolates for SCP production. Optimization studies were conducted using the One-Factor-at-a-Time (OFAT) method to determine the ideal fermentation conditions. The results showed that the optimal temperature for SCP production was 40 °C, with Bacillus sp. AT-b3 demonstrating superior production efficiency. pH optimization revealed that neutral pH (pH 7) was ideal for maximizing SCP production, with Bacillus spp. AT-b3 outperforming Bacillus sp. CMF 12 at this pH. Substrate concentration studies indicated that 2.0% was optimal for SCP production, and incubation time optimization indicated 48 hours as the optimal period for maximum yield. Amino acid profiling of the SCP produced showed significant variations between the two isolates. Bacillus sp. CMF 12 was richer in essential amino acids like Arginine and Methionine, while Bacillus sp. AT-b3 had a higher Glycine content at (p<0.05). The findings of this study suggest that both strains have potential applications in nutritional supplements, with Bacillus sp. AT-b3 being particularly suited for industrial-scale SCP production. This study concludes that Bacillus sp. AT-b3 is an efficient SCP producer under optimal conditions of neutral pH, moderate temperature, and appropriate substrate concentration. Further research is recommended to explore pilot-scale production, alternative substrates, and comprehensive safety assessments.

Anthropogenic Lead (Pb) deposition history of the western Indian Ocean from coral-based Pb/Ca ratio and Pb isotope records

Despite the rapid industrial growth and urban expansion along the coastline of the Western Indian Ocean, knowledge of both historical and current levels of anthropogenic lead (Pb) contamination, as well as its impact on the biosphere, remains limited compared to other industrialized regions. We present a twenty-four year long coralline record (1989–2013) of Pb/Ca ratio and Pb isotopes from the Lakshadweep coral reef in the Western Indian Ocean. This new record provides critical insight into source(s), possible transport pathways, and temporal trends in Pb deposition during the studied interval. The long-term trend in the surface seawater Pb concentration ([Pb]SW), reconstructed from the coralline Pb/Ca record, reveals almost doubling in [Pb]SW from ~50 pmol/kg in the year 1990 to ~107 pmol/kg in the year 2013. Bayesian mixing model calculations reveal that among the potential Pb polluting sources to this region, anthropogenic aerosol from the hinterland of the continents was the dominant contributor of Pb (23–89 %). A compilation of available Pb records from the Indian Ocean reveals that Pb isotope distribution patterns in the western and central equatorial Indian Oceans are distinctly different from those observed in the eastern Indian Ocean. The western Indian Ocean records exhibit lower Pb isotope ratios (206Pb/207Pb and 208Pb/207Pb) compared to the East Indian Ocean, suggesting a greater influence of anthropogenic Pb on seawater concentration. These findings highlight the spatio-temporally spread of anthropogenic Pb pollution and its potential impact on the biosphere in the Indian Ocean and therefore emphasize the urgent need for region-specific environmental management strategies. Plain language summaryThis study reconstructs the history of lead (Pb) pollution in the Western Indian Ocean. We analyzed a specimen of coral, collected from Lakshadweep, to create a 24-year-long (years 1989 to 2013) for Pb concentration and isotopic composition of seawater in the Western Indian Ocean. Using the coralline Pb/Ca ratio and Pb isotope data, we have reconstructed surface ocean Pb concentration ([PbSW]) and isotopic composition to understand the sources, transport pathways, and temporal depositional trends over the western Indian Ocean during the past two decades. This reconstruction of [PbSW] reveals a doubling from ~50 pmol/kg in the year 1990 to ~107 pmol/kg in the year 2013. Our investigations to fingerprint the Pb source(s) to our study area reveal that majority of the anthropogenic Pb has been contributed by aerosol deposition sourced from the hinterland of the surrounding continents. Our investigation also revealed that the western Indian Ocean is more contaminated by anthropogenic Pb compared to the eastern Indian Ocean. These findings highlight the need for region-specific monitoring efforts in the Indian Ocean as well as the formulation of environmental strategies to mitigate the impact of Pb pollution.

Use of Meat Industry By-products in Pet Food Industry: Prospects and Sustainability for Startups in India

With the increasing nuclear family, urbanization, incidents of theft, and isolation in society in the last decades there has been a drastic rise in the number of companion animals, especially pet dogs in the country. The pet food industry is witnessing rapid growth due to the increasing demand for pet foods since pet owners are much more aware of well-being and a balanced diet. India is one of the emerging pet food markets in Asia-Pacific. The country imports 45-50% of pet food to meet the domestic requirements. Therefore there is a huge opportunity in the Indian Pet Food Industry and immense potential to venture into the pet food segment. With a series of opportunities, the sector also witnessed a few challenges which include the absence of a uniform regulatory framework, isolated government policies, higher taxation for pet food compared to other food processing industries, and scattered availability of raw materials. This article throws light on the prospects, sustainability, regulation issues, scope, and opportunities for start-ups in the pet food manufacturing segment by utilizing meat industry by-products as the primary source of protein components to produce cost-effectively and meet the recommended nutritional standards to fulfill the present demands of pet foods.

Hydrogen production and elemental migration during supercritical water gasification of food waste digestate

The rapid growth of food waste (FW) is a huge challenge on a global scale, and anaerobic digestion is one of the most commonly used methods to deal with food waste, and the increasing amount of food waste digestate (FWD) produced by anaerobic digestion also poses a huge challenge to waste management. This paper explores supercritical water gasification (SCWG) as a valuable and innovative strategy for the conversion of FWD into H2-rich syngas. The research focuses on analyzing the effects of reaction temperature and residence time on syngas production, gas composition, element migration (C, N and P) during the SCWG process. Experimental results show that as the reaction temperature increases from 400 °C to 500 °C, the total syngas yield increases significantly, from 2.4 mol/kg to 9.7 mol/kg, especially the yields of H2, CO2, and CH4. As the reaction temperature increases and the residence time increases, the migration of carbon from the solid and liquid phases to the gas phase accelerates with increasing temperature and residence time, resulting in a higher proportion of carbon in the gas phase. In terms of liquid phase composition, nitrogenous compounds are significantly converted into ammonium (NH4+-N) at higher temperatures. In addition, the organic phosphorus is observed transferring into inorganic phosphorus, which are mainly apatite. This study explores the scalability of SCWG and its potential for the production of clean fuels, thereby contributing to the sustainable management of FWD.

Parameters of Performance: A Deep Dive into Liquid-to-Air CDU Assessment

The rapid growth in data center workloads and the increasing complexity of modern applications have led to significant contradictions between computational performance and thermal management. Traditional air-cooling systems, while widely adopted, are reaching their limits in handling the rising thermal footprints and higher rack power densities of next-generation servers, often resulting in thermal throttling and decreased efficiency, emphasizing the need for more efficient cooling solutions. Direct-to-chip liquid cooling with cold plates has emerged as a promising solution, providing efficient heat dissipation for high-performance servers. However, challenges remain, such as ensuring system stability under varying thermal loads and optimizing integration with existing infrastructure. This comprehensive study digs into the area of data center liquid cooling, providing a novel, comprehensive experimental investigation of the critical steps and tests necessary for commissioning coolant distribution units (CDUs) in direct-to-chip liquid-cooled data centers. It carefully investigates the hydraulic, thermal, and energy aspects, establishing the groundwork for Liquid-to-Air (L2A) CDU data centers. A CDU’s performance was evaluated under different conditions. First, the CDU’s maximum cooling capacity was evaluated and found to be as high as 89.9 kW at an approach temperature difference (ATD) of 18.3 °C with a 0.83 heat exchanger effectiveness. Then, to assess the cooling performance and stability of the CDU, a low-power test and a transient thermohydraulic test were conducted. The results showed instability in the supply fluid temperature (SFT) caused by the oscillation in fan speed at low thermal loads. Despite this, heat removal rates remained constant across varying supply air temperatures (SATs), and a partial power usage effectiveness (PPUE) of 1.042 was achieved at 100% heat load (86 kW) under different SATs. This research sets a foundation for improving L2A CDU performance and offers practical insights for overcoming current cooling limitations in data centers.

Targeted therapies for Glioblastoma multiforme (GBM): State-of-the-art and future prospects.

Glioblastoma multiforme (GBM) remains one of the most aggressive and lethal forms of brain cancer, characterized by rapid growth and resistance to conventional therapies. The present review explores the latest advancements in targeted therapies for GBM, emphasizing the critical role of the blood-brain barrier (BBB), blood-brain-tumor barrier, tumor microenvironment, and genetic mutations in influencing treatment outcomes. The impact of the key hallmarks of GBM, for example, chemoresistance, hypoxia, and the presence of glioma stem cells on the disease progression and multidrug resistance are discussed in detail. The major focus is on the innovative strategies aimed at overcoming these challenges, such as the use of monoclonal antibodies, small-molecule inhibitors, and novel drug delivery systems designed to enhance drug penetration across the BBB. Additionally, the potential of immunotherapy, specifically immune checkpoint inhibitors and vaccine-based approaches, to improve patient prognosis was explored. Recent clinical trials and preclinical studies are reviewed to provide a comprehensive overview of the current landscape and future prospects in GBM treatment. The integration of advanced computational models and personalized medicine approaches is also considered, aiming to tailor therapies to individual patient profiles for better efficacy. Overall, while significant progress has been made in understanding and targeting the complex biology of GBM, continued research and clinical innovation are imperative to develop more effective and sustainable therapeutic options for patients battling this formidable disease.

Advances in giant clam (Tridacnidae spp.) sclerochronology and sclerochemistry

Understanding past environmental change through high-resolution palaeoenvironmental proxy reconstructions provides crucial baselines for understanding global environmental changes, particularly during the Quaternary Period. Such data are crucial for testing and refining climate models to enable better adaptations to current and future climate changes. Giant clams (Tridacnidae spp.), the largest bivalve mollusc in the Indo-Pacific region, possess distinctive features such as long lifespan, rapid growth, high-resolution growth patterns, wide distribution habitat, and stable shell geochemical composition. These attributes make giant clams a promising and dependable novel palaeoenvironmental archive, offering numerous available geochemical proxies. In this review, we examined preview studies on giant clams conducted for sclerochronology research, spanning publications from 1986 to 2023. The previous studies have proven that isotopic and trace elements proxies of the giant clam, including δ18O, δ13C, Sr/Ca, Mg/Ca, Ba/Ca, and Fe/Ca, can faithfully reconstruct palaeoclimate records including sea surface temperature, dissolved inorganic carbon, insolation, extreme weather events and primary productivity at ultra-high resolution. These proxies have been successfully employed for palaeoclimatic and palaeoenvironmental reconstructions from the Miocene to the present across a range of locations from South Japan to Northern Australia to the Red Sea. These studies have illuminated changes in interannual climate cycles, climate variation, and human migrations over thousands to millions of years. They have generated quantitative records that are valuable for testing and refining numerical climate models, understanding the relationship between past climate cycles and future climate variability, and providing insights into human-environment interactions over time. In the end, the review also addresses the challenges and provided recommendations for future research, highlighting persisting gaps in understanding the influence of microstructure on the shell, age dating of fossil samples, uncertainty in proxies, the need for tank experiments, and access to ultra-high resolution palaeoenvironmental records.

A biomacromolecular additive based on pullulan polysaccharide to enhance the life of lead-acid battery packs in DC systems

Abstract With the rapid growth in demand for mobile power, lead-acid batteries still occupy a large market share due to their excellence in energy storage. However, their lifespan is affected by various factors, which limits the application efficiency and environmental friendliness. In this regard, this paper proposes a method to enhance the service life of lead-acid battery packs by applying biomacromolecule additives. A lead-acid battery pack modification method is investigated by introducing chitosan, a natural macromolecule with excellent electrical conductivity and biodegradation properties, into lead-acid batteries. So that the chitosan-modified material forms a stable and protective film on the surface of the battery electrode plate, thereby reducing the analysis of sulphate crystals on the electrode surface. The method of modification of lead-acid battery packs has been studied. Comparative analysis of the experimental data shows that the modified battery pack exhibits lower charge transfer impedance and better electrochemical stability than the traditional lead-acid battery during the cyclic charge/discharge test. Through the cycle charge/discharge test, the energy loss of the battery with biomolecules is 30% lower than that of the unmodified battery, and the number of charge/discharge cycles increases by 60%, which effectively prolongs the service life of the lead-acid battery. The progress of this paper not only has guiding significance for the performance improvement of traditional lead-acid batteries but also provides a significant theoretical and experimental basis for the development and application of environmental friendly battery materials.

The challenges associated with firewood supply and analysis of fuel quality parameters of the tree species used as firewood in Rwanda

Firewood serves as an essential cooking energy source for households in Rwanda. However, the supply of firewood is hindered by various challenges, such as escalating scarcity, long distances traveled to collect firewood, and reliance on low-quality biomass during shortages. This study aimed to assess the challenges associated with firewood supply and analyze the fuel quality of tree species used as firewood in Rwanda, using systematic sampling with 504 and 368 farmers, respectively, in Bugesera and Musanze Districts. The results indicated that women and children are predominantly involved in firewood collection, with households traveling over 9 kilometers for firewood collection and spending 5 to 8 hours per collection session. Additionally, 42% and 43% of households in Bugesera and Musanze Districts gather firewood twice weekly. The most preferred species for firewood were Eucalypts spp, Senna spectabilis, Grevillea robusta, and Alunus acuminata due to their rapid drying, low smoke production, and efficient fuel qualities. The fuel quality analysis indicated that Eucalyptus spp., Grevillea robusta, Croton megalocarpus, Alnus acuminata, and Senna spectabilis exhibit a substantial promising bioenergy characteristic that points to their potential for sustainable energy production. The study advocates for strategically incorporating high fuel qualities, rapid growth, and regeneration of tree species into trees-based systems in the agricultural landscape to ensure a sustainable firewood supply while mitigating forest degradation.

Vaping and smoking cue reactivity in young adult non-smoking electronic cigarette users: A functional neuroimaging study.

The rapid growth in the use of electronic cigarettes (e-cigarettes) among non-smoking young adults is concerning, as it raises the potential for chronic vaping and nicotine addiction. A key characteristic of drug addiction is the elevated neural response to conditioned drug-related cues (i.e., cue reactivity). Generalized reactivity to both vaping and smoking cues may signify an increased risk for smoking initiation in non-smoking vapers. In this study, we used functional magnetic resonance imaging (fMRI) to evaluate brain responses to vaping and smoking cues in young adult non-smoking vapers. Sixty-six young adult non-smoking vapers underwent functional MRI while viewing visual cues pertaining to vaping, smoking, and nicotine-unrelated unconditioned reward (i.e., food). A priori region-of-interest analysis combined with exploratory whole-brain analysis was performed to characterize neural reactivity to vaping and smoking cues in comparison to food cues. The medial prefrontal cortex and the posterior cingulate cortex, regions that play a key role in drug cue reactivity, showed significantly increased neural response to vaping cues compared to food cues. The posterior cingulate cortex additionally showed increased neural responses to smoking cues compared to food cues. Despite not currently smoking combustible cigarettes, young adult vapers exhibited heightened neural susceptibility to both vaping and smoking cues within brain systems associated with cue reactivity. The findings shed light on the mechanisms underlying nicotine addiction and smoking initiation risk in this critical population and may contribute to the development of science-based interventions and regulatory measures in the future. The escalating vaping prevalence among US non-smoking young adults is alarming, due to its potential ramifications for nicotine addiction development. Nicotine addiction is characterized by elevated neural response to conditioned nicotine-related cues. Using functional neuroimaging, we showed that young adult non-smoking vapers exhibited heightened neural susceptibility to both vaping and smoking cues within brain systems previously associated with cue reactivity. Such cross-reactivity to both types of nicotine cues may serve as the mechanism underlying nicotine addiction and smoking initiation risk in this population. Our findings may contribute to the development of science-based interventions and regulatory measures addressing the vaping epidemic.

A rate-dependent crack bridging model for dynamic fracture of CNT-reinforced polymers

Carbon nanotubes (CNTs) improve the fracture toughness of polymer-based matrix composites by bridging the crack growth path. This research presents a finite element (FE) rate-dependent crack bridging model of Mode-I dynamic crack growth in CNT-reinforced polymers accounting for rate of loading and rapid crack growth. Two distinct CNT bridging and matrix cracking damage mechanisms are taken into account in the fracture process zone (FPZ) accounting for the dissipation of fracture energy. A viscoelastic-viscoplastic material model is adapted for the matrix phase to capture the strain rate effects. The crack in the matrix phase is modeled using cohesive zone elements characterized by experimental data. A rate-dependent traction-separation law obtained from CNT pull-out simulation at relevant crack opening speeds is used to simulate the CNT bridging in the FPZ. Considering the given traction-separation law as a constitutive equation, the CNTs are replaced with non-linear spring elements to facilitate the FE simulation of crack bridging with numerous CNTs in the FPZ. The proposed rate-dependent FE model for crack bridging enables the study of the effect of key CNT factors such as length, orientation, waviness, volume fraction, and agglomeration on fracture energy dissipation at various crack speeds. The developed model can simultaneously consider the interactive effects of all CNT parameters which is useful for considering all processing-induced uncertainties in analyzing the effects of CNTs on the dynamic fracture toughness of nanocomposites.

Green bonds and clean energy stocks: Safe havens against global uncertainties? A wavelet quantile-based examination

The renewable energy sector has seen rapid investment growth over the last decade, with Green Bonds (GB) and Clean Energy Stocks (CLE) emerging as critical components of sustainable finance. Using daily data from 2013 to 2023, this study investigates the diverse roles of GB and CLE as potential safe havens under Geopolitical Risks (GEO) and Economic Policy Uncertainty (ECU). Applying an advanced Wavelet Quantile Regression (WQR) approach, we assess their effectiveness across different time horizons and risk conditions. The findings reveal that GB consistently offer stronger protection against economic risks, particularly in the short to mid-term, while CLE are more effective in shielding against geopolitical risks. Over longer periods, GB maintain their safe haven status, while CLE’s protective capabilities diminish. The results also highlight that GB and CLE behave differently across quantiles, with GB showing stability across extreme market conditions, making it a more reliable hedge overall. This study offers valuable policy insights for key stakeholders. Policymakers are encouraged to integrate GB and CLE into sustainable finance strategies, investors can mitigate risk by blending these assets, and portfolio managers should adjust allocations dynamically based on evolving market conditions. The results underscore the importance of green assets as hedges in times of global uncertainty, contributing to the growing literature on sustainable finance.

CO2 hydrate formation in superabsorbent hydrogels for carbon capture—A comparison of water-confined framework vs non-water framework

This study investigates the kinetics of CO2 hydrate formation in saturated hydrogel particles—water-confined frameworks—through both experimental and numerical methods, and compares the results with those obtained in silica gels, silicon-based frameworks. Three hydrogel materials with varying swelling ratios were synthesized via radical polymerization. An advanced shrinking core model was developed, incorporating factors of CO2 solubility, gas diffusion, gas–water reaction, capillary effects, and hydrogel functional groups. Results showed rapid CO2 hydrate growth within the first 100 min, with CO2 uptake reaching 78%–82% of the final amount by 600 min. The highest percent water conversion achieved was 96.6%. Simulations indicated a significant decrease in CO2 diffusion coefficient through the hydrate shell over time, especially in hydrogels with higher methacrylic acid content. Capillary effects diminished as the reaction proceeded, with final water consumption via capillaries accounting for 14.4%–26.7% of the total. Hydrogels with higher swelling ratios and higher agglomeration degree formed more porous hydrate shells, enhancing CO2 diffusion but resulting in lower overall CO2 uptake due to their lower water content. Comparisons with hydrophilic porous silica gel revealed that, although hydrogels initially posed greater mass transfer resistance, they ultimately exhibited superior CO2 absorption capacity and rate.

AfroPALM - Afrocentric Palm oil Adulteration Learning Models: an End-to-end Deep Learning Approach for Detection of Palm Oil Adulteration

In Africa, rapid population growth and a focus on increasing food production have often overlooked the crucial aspect of food safety, leading to the highest per capita incidences of foodborne illness globally. This underscores the imperative to address the food safety challenges on the continent. A critical concern is the widespread adulteration of red palm oil across West Africa, often involving harmful red azo dyes, posing significant health risks. Current detection methods, reliant on laboratory procedures, are not only time-consuming and expensive but also impractical for broad implementation in local markets. To address these limitations, we propose an end-to-end deep learning approach that bypasses the need for manual feature extraction and laboratory-based analyses. Utilizing high- resolution imaging technology, our approach can objectively and reliably detect palm oil adulteration directly from raw image data. In our study, we developed a deep convolutional neural network dubbed AfroPALM-Custom, specifically designed for detecting palm oil adulteration in African markets. AfroPALM-Custom was pivotal in refining our deep learning approach, achieving a test accuracy of 90.63% and an F1 score of 90.98%. We later adapted mobile-efficient pretrained models, namely SqueezeNet1.1 and GhostNetV1—mobile—fine-tuned and as well dubbed AfroPALM-GhostNet and AfroPALM-SqueezeNet. In performance, AfroPALM-GhostNet and AfroPALM-SqueezeNet achieved test accuracies of 96.29% and 91.16%, respectively, and F1-scores of 96.57% and 91.95%. This proficiency in identifying adulterated palm oil demonstrates a significant advancement in food safety solutions for African markets, offering a practical and scalable approach for implementation within local marketplaces where resources are limited and laboratory methods are impractical.© 2001 Elsevier Science. All rights reserved