Search Results (231)

Proactively detecting schizophrenia relapse remains a critical challenge in psychiatric care, where traditional predictive models often fail to capture the complex neurophysiological and behavioral dynamics preceding recurrence. Existing methods typically rely on shallow architectures or unimodal data sources, resulting in limited sensitivity—particularly in the early stages of relapse. In this study, we propose a CNN-Transformer fusion model that leverages the complementary strengths of Convolutional Neural Networks (CNNs) and Transformer-based architectures to process electroencephalogram (EEG) signals enriched with clinical and sentiment-derived features. This hybrid framework enables joint spatial-temporal modeling of relapse indicators, allowing for a more nuanced and patient-specific analysis. Unlike previous approaches, our model incorporates a multi-resource data fusion pipeline, improving robustness, interpretability, and clinical relevance. Experimental evaluations demonstrate a superior prediction accuracy of 97%, with notable improvements in recall and F1-score compared to leading baselines. Moreover, the model significantly reduces false negatives, a crucial factor for timely therapeutic intervention. By addressing the limitations of unimodal and superficial prediction strategies, this framework lays the groundwork for scalable, real-world applications in continuous mental health monitoring and personalized relapse prevention. Full article

(1) Background: This study used a microfluidic approach to prepare paeonol (PAE) liposomes with oleanolic acid (PAE-ONLs) instead of cholesterol (PAE-CNLs), aiming to reduce cholesterol levels and enhance stability and anti-inflammatory activity. (2) Methods: The liposome formula was optimized, characterized, and tested for anti-inflammatory activities in zebrafish and RAW 264.7 macrophages, utilizing various stability and molecular interaction methods. (3) Results: The best PAE-ONL preparation conditions were 10.25 mg/mL of soy lecithin, 0.82 mg/mL of oleanolic acid, and 0.22% (wt%) of Tween 80, with an EE of 64.61 ± 0.42%. TEM confirmed the uniform spherical morphology, and FTIR confirmed that oleanolic acid was incorporated into the liposomes. PAE-ONLs showed better stabilities than PAE-CNLs. Molecular interaction results revealed that PAE-ONLs achieved a greater energy reduction, reaching −85.07 kJ/mol vs. the −62.64 kJ/mol of PAE-CNLs, with stable hydrogen bonding interactions. PAE-ONLs significantly reduced inflammatory cell migration in zebrafish and decreased NO, TNF-α, IL-6, and IL-1β levels in LPS-induced RAW 264.7 macrophages at 20 μg/mL. A network pharmacology analysis showed that oleanolic acid and paeonol interacted with 45 and 11 anti-inflammatory targets, respectively, and their combination in PAE-ONLs enhanced their anti-inflammatory coverage. (4) Conclusions: PAE-ONLs, utilizing oleanolic acid as a cholesterol substitute, exhibit enhanced stability and superior anti-inflammatory effects. Full article

Okara, the soybean residue from soy milk and tofu production, offers significant potential as a sustainable, fiber-rich ingredient for starch-based and gluten-free food systems. This study investigates the comparative effects of whole okara and its extracted dietary fiber (DF) on the retrogradation, rheological properties, and nanostructural organization of rice starch (RS) gels. Rice starch suspensions were blended with 5–20% (dry basis) of either whole okara or DF, thermally gelatinized, and analyzed using dynamic rheology, synchrotron-based Wide-Angle X-ray Scattering (WAXS), and Fourier Transform Infrared (FTIR) spectroscopy. DF markedly reduced the gelation temperature and enhanced storage modulus (G′), indicating earlier and stronger gel network formation. WAXS analysis showed that DF more effectively disrupted long-range molecular ordering, as evidenced by suppressed crystallinity development and disrupted molecular ordering within the A-type lattice. FTIR spectra revealed intensified O–H stretching and new ester carbonyl bands, with progressively higher short-range molecular order (R_1047/1022) in DF-modified gels. While whole okara provided moderate retrogradation resistance and contributed to network cohesiveness via its matrix of fiber, protein, and lipid, DF exhibited superior retrogradation inhibition and gel stiffness due to its purity and stronger fiber–starch interactions. These results highlight the functional divergence of okara-derived ingredients and support their targeted use in formulating stable, fiber-enriched, starch-based foods. Full article

Black soybean okara is a common food byproduct in Asia. This study conducted collaborative fermentation with Rhizopus oligosporus and Yarrowia lipolytica to produce a GABA-enriched okara product. Two black soybean varieties, TN3 and TN5, were used, and optimal fermentation conditions were predicted using response surface methodology (RSM). After 24 h of Rhizopus oligosporus incubation, Yarrowia lipolytica was inoculated under 20 trial conditions with variations in temperature, incubation time, and inoculation size. The model predicted that the highest GABA content would be achieved at 34–35 °C, 47–49 h incubation, and 3–4 log CFU/mL inoculation. Under these optimal conditions, the maximum GABA yields achieved were 868.3 µg/g for TN3 and 853.1 µg/g for TN5. Fermentation conditions had minimal influence on protease activity, which may be attributed to the distinct roles of Rhizopus oligosporus and Yarrowia lipolytica in the fermentation process. The solid-state collaborative fermentation technology supports food waste recycling and enhances product functionality, contributing to the circular economy. Full article

This study employed ohmic heating to investigate its impact on the physicochemical properties, structural organization, and functional characteristics of okara. Ohmic heating was applied with different field strengths and holding times. After moderate ohmic treatment, the water-holding capacity, oil-holding capacity, and swelling capacity of okara increased by 51.11%, 88.89%, and 43.64%, respectively. The microstructure and secondary structure were improved. The total sugar and soluble dietary fiber content were enhanced. The levels of active substances such as total flavonoids and total phenols significantly increased, leading to improved antioxidant capacity. The properties of okara were influenced by the field strength and holding time. This study provides new insights for the processing and development of okara, particularly in the application of functional foods. Full article

The overwhelming amount of cassava residues and okara are a foremost challenge for the food processing industry environmental loading. The purpose of this article is to utilize Pleurotus ostreatus mycelium to ferment solid cassava and soybean residue, resulting in mycelial biomass with nutritional values and promising prebiotic activities from fermented waste sources. By blending a ratio of 80% cassava and 20% soybean residues, the mycelium spread rapidly after 3 days of culture, from 1.73 mm on the first day to 13.32 mm on the third day, and completely covered the surface after 9 days of culture (120 mm). Using the solid-state fermentation (SSF) method allowed us to improve the content of substances isolated from mycelium biomass, where polysaccharide content rose by 2.1 times to 3.44 mg/g, and the protein content increased by 1.84 times over the initial substrate. The prebiotic activity of extracted PS was greatest in P. acidilactici NBD8 (1.58); for L. pentosus NH1, L. argentoraten NH15, and L. plantarum WCFS1 strains, the indices were 0.11, 0.17, and 0.3, respectively. The SSF process with P. ostreatus mycelium has the potential to be an effective method for improving the nutrition and digestibility of soybean and cassava residues for application in the production of nature-derived animal feed, as well as contributing to fully utilized agricultural residue, agriculture’s circular economy, reducing environmental issues, and achieving the net-zero carbon emissions target by 2050, as the Vietnam government committed to achieving during the COP26 World Leaders’ Summit in 2021. Full article

The solid-state fermentation (SSF) of agro-industrial by-products such as okara, pomegranate peel, and cranberry pomace presents a sustainable approach to enhance the release of bioactive compounds. This study investigated the effects of different microbial cultures—Rhizopus oligosporus, Aspergillus oryzae, Streptococcus thermophilus, and a co-culture of R. oligosporus and S. thermophilus—on the bioconversion of bioactive compounds in 100% okara, okara with 2% pomegranate peel, and okara with 1% cranberry pomace. The objective was to assess whether co-culture fermentation with molds and S. thermophilus augments the release of bioactive compounds in okara-based fermentations through synergistic enzymatic activity. Over a period of 72 h, isoflavone transformation (daidzin, daidzein, genistin, and genistein), pH evolution, and water activity were assessed. The co-culture system exhibited improved bioconversion, leading to significant (p < 0.01) increases in daidzein and genistein in pure okara compared to the starting material. The highest polyphenol content (0.908 mg/g) and antioxidant capacity (24.9 mg Trolox eq/g) were recorded in 100% okara. However, pomegranate peel inhibited β-glucosidase activity, delaying the release of isoflavone aglycones. These findings confirm that co-culture fermentation is an effective strategy for enhancing the bioactive properties of okara-based fermentations. This facilitates the release of bioactive aglycones and supports the upcycling of agro-industrial by-products into functional food ingredients. Future research should focus on optimizing fermentation parameters to further enhance the release of bioactive compounds. Full article

Taylor expansion is a remarkable tool with broad applications in analysis, science, engineering, and mathematics. In this manuscript, we derive a proof of generalized Taylor expansion for polynomials and write its particular case in symmetric quantum calculus. In addition, we define a novel type of calculus that is called symmetric $(\mathit{p},\mathit{q})$- or dual basic symmetric quantum calculus. Moreover, we derive a symmetric $(\mathit{p},\mathit{q})$-Taylor expansion for polynomials based on this calculus. After that, we investigate Taylor’s formulae through an example. Furthermore, we define symmetric definite $(\mathit{p},\mathit{q})$-integral and derive a fundamental law of symmetric $(\mathit{p},\mathit{q})$-calculus. Finally, we derive the symmetric $(\mathit{p},\mathit{q})$-Cauchy formula for integrals that enables us to construct the fractional perspectives of $(\mathit{p},\mathit{q})$-symmetric integrals. Full article

This study aimed to explore the relationship between the critical thinking and creativity skills of university students. The objectives were to explore the level of critical thinking skills, the degree of creativity in students’ written exam papers, the nature of the relationship between these constructs, and gender differences in the manifestation of these skills in writing. A sample of 167 students, including 100 females and 67 males, from a co-educational university participated in the study. Data were collected using self-report measures for critical thinking and creativity from student mid-term exam papers. The assessment tool to assess critical thinking skills, and an adapted version of the TTCT Verbal-A was used to measure the creativity level in the written products. Descriptive statistics, correlation analysis, and comparative analysis were conducted using SPSS (version 29). The findings revealed that both the variables’ scores were moderate in the data. They also indicated that students fall within the moderate level of both the skills. A significant positive correlation was found between critical thinking and creativity, suggesting a meaningful relationship between these constructs. Gender differences were also observed, with females scoring higher in both the constructs compared to males. Furthermore, these insights highlight the need for educational strategies that foster both skills, ensuring a balanced development among students. This study is useful for educators, policymakers, and researchers interested in critical thinking and creativity and also underscores the need for future research and curricula to enhance student learning outcomes. Full article

In recent years, extensive research has been conducted with the aim of developing non-fullerene acceptors as they have a promising ability to drive the development of cost-effective and highly efficient organic solar cells (OSCs). By harnessing the potential of rhodanine-flanked non-fullerene acceptors (NFAs), we proposed eight new A-D-A type NFAs (SBA1–SBA8) through precise end-cap modifications on both sides of the bridging-core unit. We performed various advanced quantum chemical analyses to unveil these designed materials’ potential and compared them with the synthetic reference molecule (R). The proposed NFAs series presented lower binding and excitation energy, along with narrower energy gaps of 2.11 eV and enhanced absorption at 671.20 nm and 719.88 nm in gaseous and chloroform environments, respectively. Furthermore, the optoelectronic and photophysical characterizations related to the electrostatic potential, density of states, reorganization energy of electron and hole mobilities, and transition density matrix analysis reveal that these materials could be efficiently used as acceptor materials for efficient organic photovoltaics. Additionally, to check the impact of charge transfer at the donor: acceptor (D: A) interface, we studied the PTB7-Th:SBA1 D:A analysis and demonstrated a remarkable interface charge transfer phenomenon. Therefore, the engineered SBA1–SBA8 NFAs represent a significant advancement as sustainable and effective options for developing high-performance OSCs. Full article

The rising global production of tofu and soymilk has led to an increase in okara byproduct generation, creating a need for sustainable valorisation strategies to reduce environmental burdens. This study aims to understand the environmental impacts of seven okara valorisation scenarios compared to conventional disposal methods, such as landfilling and incineration, by conducting screening Life Cycle Assessments (LCAs). The results show that uncontrolled landfilling causes the highest environmental burden (37.2 EF-µPt/kg_okara), driven by methane and ammonia emissions that contribute to climate change, acidification, eutrophication, and particulate matter formation. Controlled landfilling (10.2 EF-µPt/kg_okara) and incineration (2.5 EF-µPt/kg_okara) lower these impacts but offer no circularity benefits. Biological treatments, such as anaerobic digestion (19.6 EF-µPt/kg_okara), composting (25.4 EF-µPt/kg_okara), and black soldier fly treatment (21.6 EF-µPt/kg_okara), provide climate benefits through energy recovery and feed production but introduce ammonia and organic dust emissions. In contrast, supercritical fluid extraction (−32.3 EF-µPt/kg_okara) and conventional protein hydrolysate production (−23.4 EF-µPt/kg_okara) deliver the greatest environmental savings by displacing soy protein and food-grade oil production. Animal feed use (−5.5 EF-µPt/kg_okara) emerges as a low-impact circular option, reducing climate change, land use, and eutrophication. The results show that regional weighting of emissions (e.g., ammonia, leachate) and uncertainties in substitution effects significantly influence outcomes. This study highlights the value of screening LCAs in identifying key environmental trade-offs in valorisation strategies and supports context-specific decision-making for circular processes. Full article

This study investigates the effect of bases NaOH and KOH on okara, the soybean residue, in conventional pulping, based on 136 pulping conditions used as a dataset for random forest regression and gradient boosting predictive models. Okara CMC was formed and identified using Fourier-transform infrared spectroscopy (FTIR) to demonstrate a wide range of applications comparable to commercial CMC, with a low degree of substitution. The quality of okara pulp after basic pulping was analyzed based on the extracted cellulose yield and remaining protein content. The optimized pulping condition was a mixture of NaOH and KOH at a 30% concentration, resulting in an extracted cellulose yield of 24.5 wt% and a remaining protein content of 25.1%. The obtained okara pulp was converted into okara CMC with a controllable degree of substitution. The implemented dataset was used to train two predictive models: random forest regression and gradient boosting, to forecast key parameters for pulping (NaOH, KOH, AQ, and H₂O). Both models demonstrated excellent prediction performance, with R² values of 0.94 and 0.89, respectively, and showed similar residuals and predicted values. The close clustering of residuals around zero, along with the sharp and narrow curves observed, indicates that both the random forest and gradient boosting models provide precise and reliable predictions. The localized deviations observed in the residuals suggest that these models effectively capture detailed patterns in the data, leading to minimized prediction errors within specific ranges. Full article

In response to the scarcity and high cost of wheat in Nigeria, this study investigates the potential of oyster mushroom (Pleurotus ostreatus) and okara flour to enhance the nutritional quality and storage stability of wheat biscuits. By incorporating 10–50% oyster mushroom powder into wheat flour, this study observed significant increases in the nutritional profile of the biscuits. The protein content notably increased from 8.26% to 16.12%, while the crude fibre and ash content also saw over a 50% increment. Storage studies revealed that biscuits (baked for 18 min at 180 °C) packaged in cartons within polyethene were more shelf-stable than those in low-density polyethylene (LDPE) bags, maintaining quality over two months at ambient temperature. The inclusion of oyster mushroom and okara flour in wheat biscuits significantly enhances their nutritional value and shelf life, presenting a viable solution to the challenges of wheat scarcity and global malnutrition. The optimal mushroom flour enrichment level was identified at 20% to maintain consumer appeal. Full article

Background: Cigarette smoking is a leading cause of preventable mortality, largely due to the absence of effective, non-invasive biomarkers for early disease detection. Profiling serum metabolomics to identify metabolic changes holds the potential to accelerate the detection process and identify individuals at risk of developing smoking-related diseases. Objectives: This study investigated the biochemical and metabolomic changes induced by nicotine exposure, with a focus on disruptions in amino acid, lipid, and carbohydrate metabolism. Methods: Liquid chromatography–tandem mass spectrometry (LC-MS/MS) was employed to observe significant disruptions in lipid and amino acid metabolism, along with alterations in key metabolic pathways. A total of 400 smokers and 100 non-smokers were included to evaluate the biomarkers related to insulin resistance, blood lipid profile, inflammation, and kidney and liver function. Results: The results demonstrated significantly elevated (p < 0.05) levels of glycemic markers in smokers, including fasting blood glucose; glycated hemoglobin (HbA1c); and inflammatory markers such as interleukin-6 (IL-6) and C-reactive protein (CRP). Smokers also exhibited dyslipidemia, with increased total cholesterol (154.888 ± 35.565) and LDL levels (117.545 ± 24.138). Impaired liver and kidney function was evident, with significantly higher levels (p < 0.05) of AST, ALP, ALT, blood urea nitrogen, and creatinine in smokers. A total of 930 metabolites were identified, of which 343 exhibited significant alterations (p < 0.05) in smokers compared to non-smokers. Among these, 116 metabolites were upregulated, and 127 were downregulated. Metabolomic pathway analysis revealed eight significant pathways. The study also identified three lipid metabolites specific to smokers and seven unique to non-smokers. Through LC-MS/MS, fragments of phenylalanine, tryptophan, valine, histidine, carnitine, and sphinganine were detected. Several lipidomic changes associated with insulin resistance and cardiovascular complications were observed. Cadmium (Cd) levels were higher in smokers than non-smokers (1.264 ppb vs. 0.624 ppb) and showed a strong negative correlation (R² = 0.8061, p-value = 0.015) with serum zinc (Zn), likely due to Cd displacing Zn in proteins and causing nephrotoxicity through accumulation. Conclusions: This study highlights the distinct metabolic disruptions caused by smoking that could serve as potential biomarkers for the early detection of metabolic diseases. It emphasizes the importance of metabolomics in identifying systemic indicators of smoking-related health issues, providing new opportunities for preventive and therapeutic interventions. Full article