Search Results (3,390)

International organizations have highlighted the importance of consistent and reliable environment, social and governance (ESG) disclosure and metrics to inform business strategy and investment decisions. Greater corporate disclosure is a positive signal to investors who prioritize sustainable investment. In this study, economic and climate sentiment are extracted from the integrated and sustainability reports of the top 40 corporates listed on the Johannesburg Stock Exchange, employing domain-specific natural language processing. The intention is to clarify the complex interactions between climate risk, corporate disclosures, financial performance and investor sentiment. The study provides valuable insights to regulators, accounting professionals and investors on the current state of disclosures and future actions required in South Africa. A time series analysis of the sentiment scores indicates a noticeable change in the corporates’ disclosures from climate-related risks in the earlier years to climate-related opportunities in recent years, specifically in the banking and mining sectors. The trends are less pronounced in sectors with good ESG ratings. An exploratory regression study reveals that climate and economic sentiments contain information that explain stock price movements over the longer term. The results have important implications for asset allocation and offer an interesting direction for future research. Monitoring the sentiment may provide early-warning signals of systemic risk, which is important to regulators given the impact on financial stability. Full article

Background and Objectives: Kumazasa extract (KZExt) is a food product obtained by steam extraction of Kumazasa (Sasa senanensis and Sasa kurilensis) leaves under high temperature and pressure. It contains abundant polyphenols, including trans-p-coumaric acid and ferulic acid, as well as xylooligosaccharides. In this study, we investigated the antibacterial, anti-viral, and anti-inflammatory effects of KZExt in vitro and in vivo. Materials and Methods: The anti-oxidant, antibacterial, and anti-viral effects of KZExt were assessed in vitro. Anti-oxidant activity was evaluated based on the scavenging of •OH, •O₂⁻ and ¹O₂. Antibacterial effects were assessed by determining the minimum inhibitory concentration (MIC) using a microdilution method. Anti-influenza activity was measured via plaque formation in MDCK cells. Anti-inflammatory effects were assessed by measuring interleukin (IL)-1β inhibition in lipopolysaccharide (LPS)-stimulated RAW264.7 cells. In vivo, KZExt was administered once (30 min before) in a formalin-induced inflammation model to evaluate pain-related behavior. In the LPS-induced inflammation model, KZExt was administered for five days before LPS injection. Behavioral changes and cytokine levels were assessed 24 h later via the open field test and cytokine quantification. Results: In vitro, KZExt showed antibacterial, anti-influenza, and anti-oxidant effects, and suppressed LPS-induced IL-1β production. In vivo, it significantly reduced the second phase of formalin-induced pain behavior. In the LPS model, although behavioral changes were unaffected, KZExt suppressed IL-6 and interferon-γ production. Conclusions: The antibacterial, anti-viral, and anti-inflammatory effects of KZExt were confirmed in vitro and in vivo. Notably, the anti-inflammatory effect suggests potential immunomodulatory activity. These findings indicate that KZExt may help suppress smoldering inflammation and inflammation associated with various diseases through its combined antibacterial, anti-viral, and immunomodulatory actions. Full article

In the pursuit of novel anticancer therapies, assessing their selectivity and safety profile towards healthy cells is crucial. This study investigated chlorochalcones, derivatives of 2′-hydroxychalcone containing a chlorine atom, for their impact on human breast cancer cells (MCF-7 and MDA-MB-231), healthy blood cells (erythrocytes, peripheral blood mononuclear cells (PBMCs), platelets), and microvascular endothelial cells (HMEC-1). Our findings demonstrated that chlorochalcones did not detrimentally affect erythrocytes, showing no hemolysis or preserving osmotic resistance and transmembrane potential. They also exhibited minimal impact on normal PBMC viability and varying effects on platelet metabolic activity at therapeutic concentrations. Importantly, these derivatives displayed lower toxicity towards HMEC-1 endothelial cells than towards breast cancer cells, indicating a degree of selectivity. Chlorochalcones have high antiproliferative activity against cancer cells, primarily by inducing apoptosis with virtually no significant impact on cell cycle progression. Their mechanism of action involves the modulation of reactive oxygen species (ROS) levels and induction of mitochondrial dysfunction, including membrane depolarization and reduced mitochondrial mass. Biological activity, including toxicity and ROS modulation, is dependent on the position and number of chlorine atoms. In conclusion, this study highlights the ability of chlorochalcones to effectively target malignant cells while sparing normal circulatory and endothelial cells, thus positioning them as a promising class of candidates for further anticancer drug development. Full article

Background: A trilayered collagen/collagen–magnesium–hydroxyapatite (Col/Col-Mg-HA) scaffold is used in clinical practice to treat osteochondral lesions, but the regeneration of the subchondral bone is still not satisfactory. Objective: The aim of this study was to test, in vitro, the osteoinductivity induced by the addition of bone morphogenetic protein-2 (BMP-2) or amorphous calcium phosphate granules with strontium ions (Sr-ACP), in order to improve the clinical regeneration of subchondral bone, still incomplete. Methodology: Normal human osteoblasts (NHOsts) were seeded on the scaffolds and grown for 14 days in the presence of human osteoclasts and conditioned medium of human endothelial cells. NHOst adhesion and morphology were observed with transmission electron microscopy, and metabolic activity was tested by Alamar blue assay. The expression of osteoblast- and osteoclast-typical markers was evaluated by RT-PCR on scaffolds modified by enrichment with BPM-2 or Sr-ACP, as well as on unmodified material used as a control. Results: NHOsts adhered well to all types of scaffolds, maintained their typical morphology, and secreted abundant extracellular matrix. On the modified materials, COL1A1, SPARC, SPP1, and BGLAP were more expressed than on the unmodified ones, showing the highest expression in the presence of BMP-2. On Sr-ACP-enriched scaffolds, NHOsts had a lower proliferation rate and a lower expression of RUNX2, SP7, and ALPL compared to the other materials. The modified scaffolds, particularly the one containing Sr-ACP, increased the expression of the osteoclasts’ typical markers and decreased the OPG/RANKL ratio. Both types of scaffold modification were able to increase the osteoinductivity with respect to the original scaffold used in clinical practice. BMP-2 modification seemed to be more slightly oriented to sustain NHOst activity, and Sr-ACP seemed to be more slightly oriented to sustain the osteoclast activity. These could provide a concerted action toward better regeneration of the entire osteochondral unit. Full article

Driven by technologies such as the Internet of Things and artificial intelligence, smart buildings have developed rapidly, and the demand for processing massive amounts of data has risen sharply. Traditional cloud computing is confronted with challenges such as high network latency and large bandwidth pressure. Although edge computing can effectively reduce latency, it has problems such as resource limitations and difficulties with cluster collaboration. Therefore, cloud–edge collaboration has become an inevitable choice to meet the real-time and reliability requirements of smart buildings. In view of the problems with the existing task scheduling methods in the smart building scenario, such as ignoring container compatibility constraints, the difficulty in balancing global optimization and real-time performance, and the difficulty in adapting to the dynamic environments, this paper proposes a two-stage cloud-edge collaborative dynamic task scheduling mechanism. Firstly, a task scheduling system model supporting container compatibility was constructed, aiming to minimize system latency and energy consumption while ensuring the real-time requirements of tasks were met. Secondly, for this task-scheduling problem, a hierarchical and progressive solution was designed: In the first stage, a Resource-Aware Cost-Driven Greedy algorithm (RACDG) was proposed to enable edge nodes to quickly generate the initial task offloading decision. In the second stage, for the tasks that need to be offloaded in the initial decision-making, a Proximal Policy Optimization algorithm based on Action Masks (AMPPO) is proposed to achieve global dynamic scheduling. Finally, in the simulation experiments, the comparison with other classical algorithms shows that the algorithm proposed in this paper can reduce the system delay by 26–63.7%, reduce energy consumption by 21.7–66.9%, and still maintain a task completion rate of more than 91.3% under high-load conditions. It has good scheduling robustness and application potential. It provides an effective solution for the cloud–edge collaborative task scheduling of smart buildings. Full article

This work draws on the principles of Environmental Education as a framework for designing meaningful teaching interventions that foster a critical understanding of socio-environmental issues. The proposal focuses on the specific case of plastic pollution and its impact on marine ecosystems, adopting an integrative perspective that connects animal, environmental, and human health. To this end, the One Health approach is incorporated, highlighting the close interdependence between the health of ecosystems, animals, and people, which allows the issue to be analyzed from a systemic and global perspective. The intervention is grounded in the principles of Transformative Environmental Education—a pedagogical orientation that seeks to promote deep changes in how students understand their environment and engage with the challenges of today’s world. This approach encourages ethical reflection, critical thinking, and the ability to imagine sustainable futures, as well as the development of competencies for action and civic engagement. The teaching proposal takes the form of a learning experience designed and implemented in three 7th-grade classrooms (1º ESO) in Cádiz, Spain, through a mixed-methods approach with 79 students (12–13 years old), structured around an escape box activity. This is a variation of the escape room format in which students, working in teams, must open a series of boxes by solving a sequence of puzzles. In this case, the escape box is set in a marine context. Through a gamified narrative, students receive a suitcase containing objects, clues, and materials that require the application of scientific knowledge about ocean acidification, biodiversity loss, and types of plastics. Data were collected through field notes, student artifacts, and a final questionnaire. The proposal is designed to foster critical environmental literacy, a holistic vision of environmental challenges, and the capacity to propose collective solutions from a One Health perspective. The results revealed high levels of motivation, engagement with the storyline, and a solid understanding of the link between marine plastic pollution and its effects on animal and human health, aligned with the One Health perspective. Full article

Distention of the urinary bladder wall during filling stretches the urothelium and induces the release of chemical mediators, including adenosine 5′-triphosphate (ATP) and prostaglandins (PGs), that transmit signals between cells within the bladder wall. The urothelium also releases soluble nucleotidases (s-NTDs) that control the availability of ATP and its metabolites at receptor sites in umbrella cells and cells deeper in the bladder wall, as well as in the urine. This study investigated whether PGs regulate the intravesical breakdown of ATP by s-NTDs. Using a murine decentralized mucosa-only bladder model and an HPLC technology with fluorescence detection, we evaluated the decrease in ATP and increase in ADP, AMP, and adenosine (ADO) in intraluminal solutions (ILS) collected at the end of physiological bladder filling. PGD₂, PGE₂, and PGI₂, but not PGF_2α, inhibited the conversion of AMP (produced from ATP) to ADO, likely due to a suppressed intravesical release of s-AMPases. The effects of exogenous PGD₂, PGE₂, and PGI₂ were mediated by DP1/DP2, EP2, and IP prostanoid receptors, respectively. Activation of either DP1 or DP2 receptors by endogenous PGD₂ also led to AMP increase and ADO decrease in ILS-containing ATP substrate. Finally, PGs produced by either COX-1 or COX-2 inhibited the hydrolysis of AMP to ADO. Together, these observations suggest that (1) endogenous PGs (chiefly PGD₂, and to lesser degree PGE₂ and PGI₂) allow release of s-NTDs like s-ATPases and s-ADPases but impede the formation of ADO from intravesical ATP by inhibiting the release of s-NTDs/s-AMPases; (2) it is possible that high concentrations of PGD₂, PGE₂ and PGI₂, as anticipated in inflammation or bladder pain syndrome, delay the ADO production and prolong the action of excitatory purine mediators; and (3) either COX-1 and COX-2 are constitutively expressed in the mouse bladder mucosa or COX-2 is induced by distention of the urothelium during bladder filling. Full article

Background: Many cancer cell lines, such as Hepa 1-6 (liver), A549 (lung), Hela (cervical), and MCF7 (breast), do not overexpress tyrosinase, an enzyme needed to activate the prodrug quercetin into its active form, o-quinone. In addition, these cancers do not rely on extracellular tyrosine for growth, as they can produce small amounts intracellularly. Methods: We investigate two therapeutic strategies using nanocapsules containing polyhemoglobin–tyrosinase (PolyHb–Tyr–nano) for action on (1) the intracellular activation of quercetin to o-quinone and (2) the depletion of intracellular tyrosine. We applied these strategies to the four cell lines listed above. Results: (1) PolyHb–Tyr–nano activates quercetin intracellularly, increasing o-quinone levels and reducing cancer cell viability. (2) PolyHb–Tyr–nano alone suppresses tumor growth by lowering intracellular tyrosine. Furthermore, PolyHb–Tyr–nano shows selective cytotoxicity, with an LD₅₀ of 0.7808 mg/mL in Hepa 1-6, compared with an extrapolated LD₅₀ of 84,181 mg/mL in the normal liver cells. In contrast, quercetin activation results in an LD₅₀ of 2.73 mg/mL in Hepa 1-6 and 74.18 mg/mL in normal hepatocytes. Conclusions: PolyHb–Tyr–nano offers dual therapeutic functions: (1) quercetin prodrug activation and (2) intracellular tyrosine depletion. Full article

Rotor equipment material samples with varying degrees of degradation during long-term operation are characterized by lower (up to 17%) corrosion and hydrogen resistance compared to the initial state. The scheme of redistribution of carbides in structural components in the initial state and after long-term operation is presented. The schemes of the turning rotor shaft are visualized, while taking the microstructure features into account. During long-term service, the properties of steels are affected by changes in the parameters of structural components caused by the action of a hydrogen-containing environment. Based on the experimental data, the regression equation and approximation probability R² value describing the change in the electrochemical parameters of 38KhN3MFA rotor steel samples after 200, 225, 250, and 350 thousand hours of operation were obtained. During machining, an increase in hydrogen content was recorded in the chips, especially from degraded areas of the rotor shaft (up to 7.94 ppm), while in undegraded zones, it ranged from 2.1 to 4.4 ppm. A higher hydrogen concentration was correlated with increased surface roughness. The use of LCLs improved surface quality by 1.5 times compared to LCL_p. Dispersion caused by degradation contributed to hydrogen accumulation and changed the nature of material destruction. After repair, the rotors demonstrated stable operation for over 25 thousand hours, with no reappearance of critical defects observed during scheduled inspections. Full article

The global transition toward plant-based diets has intensified the search for sustainable protein alternatives, positioning hemp-based meat analogs (HBMAs) as a promising solution due to their exceptional nutritional profile and environmental benefits. This comprehensive review critically examines hemp protein research, focusing on extraction technologies, nutritional excellence, functional innovation, and sustainable processing approaches for meat analog development. Hemp seeds contain 25–30% protein, primarily consisting of highly digestible edestin and albumin proteins that provide a complete amino acid profile comparable to soy and animal proteins. The protein exhibits superior digestibility (>88%) and generates bioactive peptides with demonstrated antioxidant, antihypertensive, and anti-inflammatory properties, offering significant health benefits beyond basic nutrition. Comparative analysis reveals that while alkaline extraction-isoelectric precipitation remains the industrial standard due to cost-effectiveness ($2.50–3.20 kg⁻¹), enzymatic extraction and ultrasound-assisted methods deliver superior functional properties despite higher costs. Hemp protein demonstrates moderate solubility and good emulsifying properties, though its gelation capacity requires optimization through enzymatic hydrolysis, high-pressure processing, or strategic blending with complementary proteins. Processing innovations, particularly high-moisture extrusion combined with protein blending strategies, enable fibrous structures closely mimicking conventional meat texture. Hemp protein can replace up to 60% of soy protein in high-moisture meat analogs, with formulations incorporating wheat gluten or chickpea protein showing superior textural attributes. Despite advantages in nutritional density, sustainability, and functional versatility, HBMAs face challenges including sensory limitations, regulatory barriers, and production scaling requirements. Hemp cultivation demonstrates 40–50% lower carbon footprint and water usage compared with conventional protein sources. Future research directions emphasize techniques and action processes, developing novel protein modification techniques, and addressing consumer acceptance through improved sensory properties for successful market adoption. Full article

The outlook for biobased plastics in packaging applications is increasingly promising, driven by a combination of environmental advantages, technological innovation, and shifting market dynamics. Derived from renewable biological resources, these materials offer compelling benefits over conventional fossil-based plastics. They can substantially reduce greenhouse gas emissions, are often recyclable or biodegradable, and, in some cases, require less energy to produce. These characteristics position biobased plastics as a key solution to urgent environmental challenges, particularly those related to climate change and resource scarcity. Biobased plastics also demonstrate remarkable versatility. Their applications range from high-performance barrier layers in multilayer packaging to thermoformed containers, textile fibers, and lightweight plastic bags. Notably, all major fossil-based packaging applications can be substituted with biobased alternatives. This adaptability enhances their commercial viability across diverse sectors, including food and beverage, pharmaceutical, cosmetics, agriculture, textiles, and consumer goods. Several factors are accelerating growth in this sector. These include the increasing urgency of climate action, the innovation potential of biobased materials, and expanding government support through funding and regulatory initiatives. At the same time, consumer demand is shifting toward sustainable products, and companies are aligning their strategies with environmental, social, and governance (ESG) goals—further boosting market momentum. However, significant challenges remain. High production costs, limited economies of scale, and the capital-intensive nature of scaling biobased processes present economic hurdles. The absence of harmonized policies and standards across regions, along with underdeveloped end-of-life infrastructure, impedes effective waste management and recycling. Additionally, consumer confusion around the disposal of biobased plastics—particularly those labeled as biodegradable or compostable—can lead to contamination in recycling streams. Overcoming these barriers will require a coordinated, multifaceted approach. Key actions include investing in infrastructure, advancing technological innovation, supporting research and development, and establishing clear, consistent regulatory frameworks. Public procurement policies, eco-labeling schemes, and incentives for low-carbon products can also play a pivotal role in accelerating adoption. With the right support mechanisms in place, biobased plastics have the potential to become a cornerstone of a sustainable, circular economy. Full article

Repeated freeze-thaw cycles in seasonally frozen regions significantly degrade the mechanical properties of clay, posing serious challenges to geotechnical infrastructure stability. This study investigates the compressibility behavior of lignin fiber-reinforced clay under freeze-thaw conditions through one-dimensional consolidation tests and microstructural analysis. Clay specimens containing 0.0%, 0.5%, 1.0%, 1.5%, and 2.0% lignin fibers by mass were subjected to 0, 1, 4, and 10 freeze-thaw cycles to simulate typical seasonal variations. The results indicate that reinforcement with lignin fibers markedly enhances the soil’s resistance to freeze-thaw-induced degradation. Specifically, in unreinforced clay, 10 freeze-thaw cycles reduced the pre-consolidation pressure from 139 kPa to 97 kPa. With 2.0% lignin fiber, the pressure increased to 186 kPa under unfrozen conditions and remained at 120 kPa after 10 cycles. SEM and MIP analyses revealed that lignin fibers form interconnected networks that inhibit the formation and expansion of strip pores and constrained pore coarsening caused by freeze-thaw action, effectively stabilizing the soil structure. A model incorporating both fiber content and freeze-thaw cycle effects was proposed to predict compression behavior, and the model accurately captured the experimental compression curves across all test conditions. This study provides a theoretical and experimental basis for the application of natural fiber-reinforced clay in cold-region geotechnical engineering, offering a sustainable and effective alternative to traditional stabilization methods. Full article

Scorpion venom contains various insecticidal peptides. Previously, through transcriptome analysis of the venom gland of Liocheles australasiae, we identified precursor sequences of several peptides that share sequences similar to those acting on K⁺ channels. In this study, we chemically synthesized five of the peptides which were found in the venom and evaluated their insecticidal activity against crickets. This revealed that one of the peptides, named LaIT6, exhibited significant insecticidal activity without mammalian toxicity. To identify amino acid residues important for the insecticidal activity of LaIT6, nine analogs were synthesized mainly by substituting acidic, basic, and aromatic residues with alanine. This revealed that two basic residues and an aromatic residue in the C-terminal region are important for the activity. This characteristic of structure-activity relationships, known as a functional dyad, is commonly observed in peptides that act on K⁺ channels, suggesting that the action target of LaIT6 is K⁺ channels. As expected, LaIT6 showed significant inhibitory activity against insect K⁺ channels. Since no activity against human K⁺ channels was observed, we concluded that the selectivity of LaIT6 is determined by differences in the action on K⁺ channels between insects and mammals. Full article

Breast cancer, a highly prevalent malignancy among women, continues to pose a significant global health challenge, as conventional therapies are often limited by adverse effects. This study developed and evaluated nanostructured lipid carriers (NLCs) encapsulating fatty acid amides (FAAs) semi-synthesized from andiroba oil and combined with silk fibroin (SF) as a novel therapeutic strategy. Methods: FAAs were synthesized via direct amidation and characterized by GC-MS, FT-IR, and ¹³C NMR. These fatty acid amides were then incorporated into NLCs containing SF. The formulation was evaluated for its physicochemical stability, cell selectivity, and cytotoxicity against 4T1 murine breast cancer cells and healthy human fibroblasts. Results: The NLC-FAA/SF formulation exhibited physicochemical stability (average particle size: 136.9 ± 23.6 nm; zeta potential: −8.3 ± 12.0 mV; polydispersity index: 0.19 ± 0.04), indicating a monodisperse and stable system. In vitro cytotoxicity assays demonstrated high selective activity against 4T1 murine breast cancer cells (IC₅₀ = 0.18 ± 0.06 μg/mL) and negligible toxicity to healthy human fibroblasts. Molecular docking studies revealed favorable interactions between the FAAs and cannabinoid receptors CB1 and CB2, with unsaturated FAAs showing higher binding scores and stability, suggesting their potential as cannabinoid receptor ligands. These findings highlight NLC-FAA/SF as a promising, selective, and effective nanoplatform for breast cancer treatment, warranting further investigation into its mechanism of action and in vivo efficacy. Full article

The yield and quality of rice are severely affected by rice disease, which can result in crop failure. Early and precise identification of rice plant diseases enables timely action, minimizing potential economic losses. Deep convolutional neural networks (CNNs) have significantly advanced image classification accuracy by leveraging powerful feature extraction capabilities, outperforming traditional machine learning methods. In this work, we propose a dual attention-guided lightweight network for fast and precise recognition of rice diseases with small lesions and high similarity. First, to efficiently extract features while reducing computational redundancy, we incorporate FasterNet using partial convolution (PC-Conv). Furthermore, to enhance the network’s ability to capture fine-grained lesion details, we introduce a dual-attention mechanism that aggregates long-range contextual information in both spatial and channel dimensions. Additionally, we construct a large-scale rice disease dataset, named RD-6, which contains 2196 images across six categories, to support model training and evaluation. Finally, the proposed rice disease detection method is evaluated on the RD-6 dataset, demonstrating its superior performance over other state-of-the-art methods, especially in terms of recognition efficiency. For instance, the method achieves an average accuracy of 99.9%, recall of 99.8%, precision of 100%, specificity of 100%, and F1-score of 99.9%. Additionally, the proposed method has only 3.6 M parameters, demonstrating higher efficiency without sacrificing accuracy. Full article