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There is a notable lack of integrated research that connects the initial point of respiratory intervention in the emerge...
23/12/2025

There is a notable lack of integrated research that connects the initial point of respiratory intervention in the emergency room to ICU admission and discharge outcomes. This work analyzed emergency department and ICU factors based on electronic medical records and applied machine learning, which are widely used in recent medical data analyses to maximize predictive accuracy and robustness. The study aims to identify factors influencing mortality through multivariate regression analysis and to evaluate whether machine learning–based predictive models, utilizing key clinical variables, can effectively predict patient mortality.

More detailed information, please visit: https://ojs.wiserpub.com/index.php/CCDS/article/view/8297

The increasing generation of agro-industrial and food waste poses both an environmental challenge and an opportunity for...
19/12/2025

The increasing generation of agro-industrial and food waste poses both an environmental challenge and an opportunity for the recovery of high-value enzymes. This review focuses on low-cost and environmentally friendly purification methods for waste-derived enzymes, including precipitation, three-phase partitioning (TPP), and aqueous two-phase systems (ATPS). Precipitation is commonly used as an initial step due to its simplicity and low cost, while TPP integrates extraction and purification in a single process and can be optimized using green solvents. ATPS enables efficient enzyme separation in polymer- or salt-based liquid–liquid systems. The reviewed studies indicate that these methods can achieve high enzyme activity and yield with reduced environmental impact. However, technological limitations remain for large-scale application, highlighting the need for more sustainable and economically viable purification strategies to support waste valorization and the circular bioeconomy. Please visit: https://ojs.wiserpub.com/index.php/FSE/article/view/8837

This study investigates the impact of social anxiety on secondary school students' motivation for science learning. Anal...
19/12/2025

This study investigates the impact of social anxiety on secondary school students' motivation for science learning. Analyzing data from 454 students, the research reveals a strong negative correlation between social anxiety and science motivation, indicating that higher social anxiety is linked to lower motivation for science subjects. Multiple regression analyses demonstrate that all aspects of social anxiety significantly predict decreased science motivation. Additionally, sociodemographic factors influence both social anxiety and science motivation. The findings highlight the critical role of social-emotional factors in students' engagement with science, suggesting that reducing social anxiety could be key to boosting students' motivation and interest in science learning. For details, please visit: https://ojs.wiserpub.com/index.php/SER/article/view/8787

This study explores the importance of empathy as a core competence in teacher training, emphasizing its role not only as...
19/12/2025

This study explores the importance of empathy as a core competence in teacher training, emphasizing its role not only as a relational skill but also as a crucial element for fostering inclusive educational environments. The research examines the impact of university training on the empathy levels of future Early Childhood and Primary Education teachers, using the Cognitive and Affective Empathy Test (CAET). Findings reveal significant empathic stress among students, with Primary Education training effectively enhancing emotional growth, while Early Childhood Education programs require improvement in socioemotional content and cognitive empathic competencies. The study underscores the need for more systematic empathy development in teacher training to support professional growth and address the challenges of diversity in modern classrooms. For details, please visit: https://ojs.wiserpub.com/index.php/SER/article/view/8609

This innovative study presents a unified, Python-based AI framework applied across three critical sustainability challen...
16/12/2025

This innovative study presents a unified, Python-based AI framework applied across three critical sustainability challenges: energy consumption forecasting, wildfire occurrence prediction, and ecological resilience assessment. Moving beyond domain-specific applications, the research demonstrates how a standardized workflow—utilizing interpretable models like linear and logistic regression—can deliver strong predictive performance while ensuring transparency and reproducibility. By employing publicly available datasets and providing clear code, the authors bridge the gap between complex AI potential and practical, scalable decision-support tools. The key novelty lies in methodological generalization, proving that a single, adaptable approach can effectively address diverse environmental questions. This work offers valuable insights and a replicable blueprint for researchers and policymakers aiming to integrate accessible AI into energy efficiency, natural hazard management, and ecosystem conservation planning. Discover how streamlined AI methodologies can empower cross-domain sustainability solutions. More detailed information, please visit:
https://ojs.wiserpub.com/index.php/EST/article/view/8711

The ongoing conflicts in Sudan have escalated rapidly, highlighting the critical need for timely and accurate data to in...
16/12/2025

The ongoing conflicts in Sudan have escalated rapidly, highlighting the critical need for timely and accurate data to inform humanitarian responses, policy decisions, and research needs. While existing datasets such as the Armed Conflict Location & Event Data Project (ACLED) and the Uppsala Conflict Data Program Georeferenced Event Dataset (UCDP GED) provide valuable insights into conflicts, they suffer from update delays and lack source transparency, which hinders timely incident reporting and comprehensive analysis. To address these limitations, we developed a web scraping toolset that collects hourly data from the Internet, deploying the tools to support Sudan conflict analysis. The scraped data was used to build an open-access database that houses 6,946 articles as of October 25, 2024, from national, regional, and international sources, offering a transparent and easily accessible resource for further analysis.
More detailed information, please visit:https://ojs.wiserpub.com/index.php/CCDS/article/view/8226

The enantioseparation of naproxen, ibuprofen, and thalidomide was evaluated on seven polysaccharide-based and one Pirkle...
16/12/2025

The enantioseparation of naproxen, ibuprofen, and thalidomide was evaluated on seven polysaccharide-based and one Pirkle-type chiral stationary phases under normal- and reversed-phase conditions. Separation performance was assessed using resolution, retention, selectivity, and theoretical plates. Thalidomide showed excellent separation on a ReproSil Chiral-MIG amylose column with acetonitrile/water (99:1, v/v), achieving an Rs of 9.410. Naproxen was best resolved on the Pirkle-type column using acetonitrile/water (95:5, v/v) with an Rs of 1.186. Ibuprofen exhibited only partial separation on a ReproSil Chiral-MID amylose column in n-heptane/1-propanol (85:15, v/v), while no separation was observed on Pirkle-type or cellulose phases. These results demonstrate the effective enantioseparation of therapeutically relevant anti-inflammatory drugs and highlight the influence of stationary phase and mobile-phase composition on chiral recognition. Please visit: https://ojs.wiserpub.com/index.php/FCE/article/view/7953

As the world seeks cleaner, renewable energy, cottonseed oil biodiesel stands out as a promising solution. With producti...
15/12/2025

As the world seeks cleaner, renewable energy, cottonseed oil biodiesel stands out as a promising solution. With production methods that meet ASTM and EN standards, this biodiesel offers reduced emissions of CO, HC, and smoke opacity, while maintaining similar or improved engine performance compared to petroleum diesel.
Thanks to its high unsaturated fatty acid content, cottonseed oil biodiesel also improves lubrication, extending engine life. It’s a low-emission, sustainable fuel that’s ready for use in existing internal combustion engines, offering a viable, eco-friendly alternative to fossil fuels.
For details, please visit: https://ojs.wiserpub.com/index.php/ibe/article/view/8366

This study addresses limitations in tissue engineering by overcoming the inability of traditional bioprinting to create ...
15/12/2025

This study addresses limitations in tissue engineering by overcoming the inability of traditional bioprinting to create complex, multi-material structures with high resolution and speed. Volumetric photopolymerization techniques, like xolography and pulsed holographic photopolymerization, offer improved resolution but require advanced materials. We present a prototype "liquid bioengineered tissue" matrix for these methods, targeting bioengineered endometrium. The biocompatible, temperature-responsive hydrogel, based on Poly(N-Isopropylacrylamide) (PNIPAAm), transitions at body temperature from a solution to a precipitated state. It is made tissue-specific by incorporating endometrial ECM components and a platelet lysate glycoprotein fraction for enhanced biological activity. The hydrogels were purified, characterized, and shown to form nanoparticles suitable for a "morphogenetic matrix." This matrix is optically transparent below its LCST, crucial for volumetric photopolymerization. Our PNIPAAm-based matrix, with tissue-specific ECM and platelet lysate factors, supports future advances in high-resolution volumetric bioprinting for tissue engineering. Please visit: https://ojs.wiserpub.com/index.php/FCE/article/view/8062

Fat substitutes in bakery products reduce saturated and trans fats while maintaining sensory and structural properties. ...
12/12/2025

Fat substitutes in bakery products reduce saturated and trans fats while maintaining sensory and structural properties. This review covers carbohydrate-based (e.g., inulin), protein-based (e.g., whey protein), and structured fat replacers (e.g., oleogels). Oleogels and emulsions improve stability and reduce mold growth, while carbohydrates enhance moisture retention but may affect texture. Protein substitutes add fiber and antioxidants but may cause off-flavors or allergens. Emulsifiers and hydrocolloids extend shelf life by up to 12 weeks without microbial growth. Complete fat replacement affects texture and flavor, with partial substitution (up to 75%) offering better results. Ongoing research is needed to optimize combinations and processing for health and sensory balance. Please visit: https://ojs.wiserpub.com/index.php/FSE/article/view/8406

This study evaluated the feasibility of using microalgae cultivated in domestic sewage as a substrate, combined with Tri...
12/12/2025

This study evaluated the feasibility of using microalgae cultivated in domestic sewage as a substrate, combined with Trichoderma koningiopsis for fermentation to produce enzymes of environmental relevance. Fermentation experiments were conducted at both small and bench scales, using an airlift bioreactor. The results showed that Trichoderma koningiopsis effectively converted the microalgal biomass into enzyme products, with stable enzyme production maintained even at larger scales. Among the enzymes evaluated, catalase exhibited the highest activity, reaching 7,344.83 U/mL under condition C1. These findings demonstrate that microalgal biomass from domestic wastewater is a promising biotechnological resource, supporting the development of sustainable and scalable industrial enzyme production processes, offering a new approach to addressing wastewater treatment and pollution control challenges.
For details, please visit: https://ojs.wiserpub.com/index.php/ibe/article/view/8779

The sun is a vital component of our natural environment, and kinetic equations are important mathematical models that sh...
11/12/2025

The sun is a vital component of our natural environment, and kinetic equations are important mathematical models that show how quickly a star’s chemical composition changes. Taking inspiration from these facts, we develop and solve a novel fractional kinetic equation by calculating the Laplace transform of hypergeometric functions in the complex coefficient parameter. This was a challenging task because the function cannot be integrated concerning the coefficient parameters using classical methods due to the infinite number of singular points of the gamma function involved in it. We achieved it using the distributional representation of the generalized hypergeometric function. Moreover, on the one hand, the role of the delta function is vital to represent the electromotive forces, and on the other, the solution of differential equations of engineering and mathematical physics led to a class of hypergeometric functions. This article is the confluence of both. Therefore, innovative characteristics concerning the Fox-Wright and several related important functions are applied for the simplification of the obtained outcomes. A popular class of fractional transforms involving generalized hypergeometric functions are evaluated using the delta function, and as a distribution, numerous additional features of this function are described. More detailed information, please visit: https://ojs.wiserpub.com/index.php/CM/article/view/7570

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