bluuebunny/crossref_metadata_2025 huggingface dataset:
Pharmacogenomic Study of SARS-CoV-2 Treatments: Identifying Polymorphisms Associated with Treatment Response in COVID-19 Patients
Authors: Serra-Llovich Alexandre , Cullell Natalia , Maroñas Olalla , José Herrero María , Cruz Raquel , Almoguera Berta , Ayuso Carmen , López-Rodríguez Rosario , Domínguez-Garrido Elena , Ortiz-Lopez Rocio , Barreda-Sánchez María , Corton Marta , Dalmau David , Calbo Esther , Boix-Palop Lucía , Dietl Beatriz , Sangil Anna , Gil-Rodriguez Almudena , Guillén-Navarro Encarna , Mancebo Esther , Lira-Albarán Saul , Minguez Pablo , Paz-Artal Estela , Olivera Gladys G. , Recarey-Rama Sheila , Sendra Luis , Zucchet Enrique G. , López de Heredia Miguel , Flores Carlos , Riancho José A. , Rojas-Martinez Augusto , Lapunzina Pablo , Carracedo Ángel , Arranz María J. ,   SCOURGE COHORT GROUP
Published: February 2025

Background/Objectives: The COVID-19 pandemic resulted in 675 million cases and 6.9 million deaths by 2022. Despite substantial declines in case fatalities following widespread vaccination campaigns, the threat of future coronavirus outbreaks remains a concern. Current treatments for COVID-19 have been repurposed from existing therapies for other infectious and non-infectious diseases. Emerging evidence suggests a role for genetic factors in both susceptibility to SARS-CoV-2 infection and response to treatment. However, comprehensive studies correlating clinical outcomes with genetic variants are lacking. The main aim of our study is the identification of host genetic biomarkers that predict the clinical outcome of COVID-19 pharmacological treatments. Methods: In this study, we present findings from GWAS and candidate gene and pathway enrichment analyses leveraging diverse patient samples from the Spanish Coalition to Unlock Research of Host Genetics on COVID-19 (SCOURGE), representing patients treated with immunomodulators (n = 849), corticoids (n = 2202), and the combined cohort of both treatments (n = 2487) who developed different outcomes. We assessed various phenotypes as indicators of treatment response, including survival at 90 days, admission to the intensive care unit (ICU), radiological affectation, and type of ventilation. Results: We identified significant polymorphisms in 16 genes from the GWAS and candidate gene studies (TLR1, TLR6, TLR10, CYP2C19, ACE2, UGT1A1, IL-1α, ZMAT3, TLR4, MIR924HG, IFNG-AS1, ABCG1, RBFOX1, ABCB11, TLR5, and ANK3) that may modulate the response to corticoid and immunomodulator therapies in COVID-19 patients. Enrichment analyses revealed overrepresentation of genes involved in the innate immune system, drug ADME, viral infection, and the programmed cell death pathways associated with the response phenotypes. Conclusions: Our study provides an initial framework for understanding the genetic determinants of treatment response in COVID-19 patients, offering insights that could inform precision medicine approaches for future epidemics.
Novel Lead Halide Perovskite and Copper Iodide Materials for Fluorescence Sensing of Oxygen
Authors: Jin Jingwen , Huang Yaning , Zhang Chen , Zhang Li , Jiang Shaoxing , Chen Xi
Published: February 2025

The most commonly used optical oxygen sensing materials are phosphorescent molecules and functionalized nanocrystals. Many exploration studies on oxygen sensing have been carried out using the fluorescence or phosphorescence of semiconductor nanomaterials. Lead halide perovskite nanocrystals, a new type of ionic semiconductor, have excellent optical properties, making them suitable for use in optoelectronic devices. They also show promising applications in analytical sensing and biological imaging, especially manganese-doped perovskite nanocrystals for optical oxygen sensing. As a class of materials with diverse sources, copper iodide cluster semiconductors have rich structural and excellent luminescent properties, and have attracted attention in recent years. These materials have adjustable optical properties and sensitive stimulus response properties, showing great potential for optical sensing applications. This review paper provides a brief introduction to traditional oxygen sensing using organic molecules and introduces research on oxygen sensing using novel luminescent semiconductor materials, perovskite metal halides and copper iodide hybrid materials in recent years. It focuses on the mechanism and application of these materials for oxygen sensing and evaluates the future development direction of these materials for oxygen sensing.
Corticolimbic Structural Deficits in Violent Patients with Schizophrenia
Authors: Athanassiou Maria , Dumais Alexandre , Zouaoui Inès , Fortier Alexandra , de Benedictis Luigi , Lipp Olivier , Tikàsz Andràs , Potvin Stéphane
Published: February 2025

Background/Objectives: Violent behaviors are uncommon in patients with schizophrenia (Sch), but when present, exacerbate stigma and challenge treatment. The following study aimed to identify the structural abnormalities associated with violent behaviors in Sch by implementing a validated tool specifically designed to evaluate violent behaviors in psychiatric populations, as well as by performing region-of-interest neuroimaging analyses, focused on areas commonly associated with the neurobiology of violence and aggression. Methods: Eighty-three participants were divided into three groups: Sch with violent behaviors (Sch+V, n = 34), Sch without violent behaviors (Sch-V, n = 28), and healthy controls (HC, n = 21). Structural neuroimaging analyses were performed across groups to assess gray matter volume (GMV) and cortical thickness (CT) differences in regions previously implicated in aggressive behaviors. Results: The data revealed significant reductions in GMV in the right amygdala and diminished cortical thickness (CT) in the bilateral dorsolateral prefrontal cortices (dlPFC) in patients with Sch+V compared to patients with Sch-V and HCs. Right amygdalar volume also demonstrated a negative correlational trend with hostility scores in patients with Sch+V. Conclusions: These findings underscore disruptions in the structural integrity of the dlPFC—responsible for inhibitory control—and the amygdala—central to emotional processing in violent patients with Sch. Future research should aim to investigate potential functional interactions at a network level to gain a deeper understanding of the neurobiological underpinnings of violent behaviors in this population.
The Construction of an Economic Performance Evaluation Model for Construction Project Management and Empirical Verification from Multiple Perspectives
Authors: Yang Huabin , Yang Zheng
Published: February 2025

With the opening of the construction market and the intensification of competition, enhancing the economic performance of engineering projects has become crucial for construction companies to improve their competitiveness. This study developed a multi-dimensional comprehensive evaluation model of the economic performance assessment system grounded in management performance. The model incorporates various perspectives, including financial performance and project management effectiveness. Utilising systematic and quantitative approaches, it performs a comprehensive multi-level analysis and evaluation of the economic activities, financial status, resource allocation, and final economic benefits during project implementation from “simultaneous point” and “same node” perspectives. Relevant project data from the Installation Company of China Construction Seventh Engineering Bureau were utilised as a case study for verification. The findings indicate that, under “simultaneous point” analysis, information from all business systems can be seamlessly integrated and extensively analysed at a specific time, offering project managers a more dynamic perspective. Cross-business boundary analysis from a same node perspective enables a comprehensive and accurate assessment of the project’s economic status through rigorous data correction, facilitating data connections between diverse business areas at a unified time node. The economic performance evaluation model developed in this research provides a comprehensive assessment of the core competitiveness of construction enterprises and offers both a theoretical framework and practical tools for project performance management in the construction industry. The analysis of simultaneous points and nodes offers a reference for management decision-makers to dynamically monitor economic performance and optimise decision-making in resource allocation, financial management, and project implementation.
Sustainable Synthesis of α-Glucosidase Inhibitors by Gas-Free Pd-Carbonylation of Nature-Based Hydroxytyrosol
Authors: Messa Francesco , Armenise Domenico , Liturri Anselma , Perrone Maria Grazia , Perrone Serena , Salomone Antonio
Published: February 2025

This study outlines the sustainable synthesis of novel hydroxytyrosol (HT) and tyrosol (T) ester derivatives via a Pd-catalyzed alkoxycarbonylation of aromatic iodides. The high sustainability of the process is attributed to the use of (1) a solid carbon monoxide source, Mo(CO)6, in place of dangerous gaseous CO; (2) a biomass-derived organic solvent, CPME (cyclopentyl methyl ether); (3) naturally occurring hydroxylated compounds, such as HT and T, which could be derived from agricultural waste rather than produced from petroleum-based sources. The method enables the regioselective preparation of various HT and T esters in a short reaction time (4–8 h), under mild temperatures (80 °C), and with moderate-to-excellent yields (62–93%). Moreover, in vitro biological tests have demonstrated that, in addition to the well-known antioxidant properties typical of natural phenolic compounds such as HT and T, some of the newly synthesized derivatives have a safe profile and are effective inhibitors of the α-glucosidase with potential application in the management of hyperglycemia. This synthetic approach offers a promising strategy for exploring biologically relevant chemical space, bridging the gap between natural products and sustainable drug synthesis.
Current Research Status and Future Perspective of Ni- and Ru-Based Catalysts for CO2 Methanation
Authors: Usman Muhammad , Podila Seetharamulu , Alamoudi Majed A. , Al-Zahrani Abdulrahim A.
Published: February 2025

Using anthropogenic carbon dioxide (CO2) as a feedstock for the production of synthetic fuel has gained significant attention in recent years. Among the various CO2 conversion pathways, the production of synthetic natural gas via CO2 methanation holds promise because of its potential for both carbon recycling and renewable energy storage. Nickel (Ni) and ruthenium (Ru) are the dominant metals employed as catalysts in the CO2 methanation reaction. This review summarizes the research landscape of Ni- and Ru-based catalysts over the last ten years. Bibliometric analysis revealed that China has the highest number of publications, the Chinese Academy of Sciences is the foremost academic institution, and the International Journal of Hydrogen Energy is the leading journal in this area of research. The publication trend revealed that research on Ni-based catalysts is published at almost four times the rate of Ru-based catalysts. Despite growth in research, problems with catalyst stability and kinetics still exist. The latest research on various catalytic systems, including supported, bimetallic, and single-atom catalysts and the fundamental challenges associated with the CO2 methanation process are reviewed. This review provides a new angle for future studies on catalysts based on non-noble Ni and noble Ru metals and opens the way for additional research in this area.
Nanoflower-Shaped ZnO Nanoparticles Reduced with Blueberry Waste and Their Evaluation of Malachite Green Dye Degradation
Authors: Balderas-León Iván , Silva-Jara Jorge Manuel , López-Álvarez Miguel Ángel , Ortega-Gudiño Pedro , Mendoza-Galván Arturo , Fabela-Sánchez Omar , López-Roa Rocío Ivette , Macías-Rodríguez María Esther
Published: February 2025

This work focuses on the green synthesis of zinc oxide nanoparticles (ZnO NPs) to be used as a photocatalyst, preparing a blueberry (Vaccinium corymbosum) extract as a reducing agent, zinc chloride as a precursor, and NaOH as precipitating agent (1, 7 and 14 M). Characterization techniques included X-ray diffraction (XRD), transmission electron microscopy (TEM), ultraviolet-visible (UV-Vis), Fourier-transform infrared (FTIR), X-ray photoelectron (XPS), and Raman spectroscopy. The XRD analysis confirmed the hexagonal wurtzite crystalline structure of ZnO NPs, while the SEM and TEM revealed a flower-like morphology. Moreover, the ZnO NPs exhibited a band gap energy in the range of 3.17 to 3.27 eV, depending on the concentration of NaOH. Regarding the photocatalytic activity, the synthesized ZnO NPs showed a photocatalytic efficiency greater than 90%, degrading malachite green (MG) dye in 60 min under sunlight. The proposed photocatalytic mechanism includes reactive oxygen species (ROS) generation (hydroxyl radicals (OH•) and superoxide radicals (O2−)). The XRD and Raman analysis also revealed that the ZnO NPs maintained structural integrity after repeated photocatalytic cycles, emphasizing their stability and suitability for practical applications.
Operative Improvement in the Naphtha Catalytic Reforming Process to Reduce the Environmental Impact of Benzene Fugitive Emissions from Gasoline
Authors: Velázquez-Alonso Fabiola , González-Ramírez César Abelardo , Villagómez-Ibarra José Roberto , Otazo-Sánchez Elena María , Hernández-Juárez Martín , Pérez-Villaseñor Fernando , Castro-Agüero Ángel , Alemán-Vázquez Laura Olivia , Camacho-López César , Romo-Gómez Claudia
Published: February 2025

A challenge for the oil refinement industry is the production of high-octane gasoline with a low benzene content. This work reports the calculation of the atmospheric benzene emissions generated from gasoline storage, transfer, and transport operations in Mexico, estimating 1.48 KBPD of environmental release. The aim was to estimate the minimum benzene emissions through operative improvements in refineries, initially by performing simulations of the Naphtha Catalytic Reforming (NCR) process using ASPEN HYSYS® ver. 8.8 (34.0.08909) and then by optimizing the operative conditions to improve the reformate quality while reducing the benzene content. The operative ranges comprised hydrogen/hydrocarbon (H2/HC) feedstock molar ratios from 2.0 to 6.0 and reaction temperatures from 450 to 525 °C, which were used as independent variables to assess the benzene content and the Research Octane Number (RON) of the produced gasoline. The Surface Response Method (SRM) and multi-objective optimization analysis were applied. The improved operative conditions were 491 °C and a H2/HC ratio of 2.0, which allowed us to obtain a RON value of 89.87, an aromatics value of 37.39% (v/v), and a benzene value of 1.48% (v/v), with an estimated 16.44% drop in atmospheric benzene emissions, meaning a reduction in greenhouse gas emissions and climate change, thus favorably impacting public health by improving refinery operations. The simulation outcomes were compared with industrial-scale data and the experimental results, with significant similitudes being observed.
Early Struggles—The Relationship of Psychopathology and Development in Early Childhood
Authors: Martin Annick , Galeris Mirijam-Griseldis , Theil Mona K. , Sele Silvano , Cavelti Marialuisa , Keil Jan , Kaess Michael , von Polier Georg G. , Schlensog-Schuster Franziska
Published: February 2025

Background/Objectives: Early childhood psychopathology has a profoundly negative impact on various areas of psychosocial functioning. Psychopathology and child development are closely linked and influenced by a range of factors, such as socioeconomic status and pre- and postnatal risks. This cross-sectional study aims to gain a deeper understanding of child development in children with early psychopathology and to derive implications for the diagnosis and treatment of the youngest children. Methods: This cross-sectional study examines the developmental status of children aged 0 to 5 years with early psychopathology (EPP) in comparison to gender- and age-matched healthy controls (HC). A newly self-developed objective, semi-structured, symptom-based interview was administered in each subgroup by trained research assistants. This interview is based on the DC: 0–5 classification system. The ET 6-6-R was used as a standardized developmental test, covering the developmental areas of gross and fine motor skills, cognition, language development, and socioemotional development. Demographic characteristics, including maternal education and household income, were considered as potential confounders. Results: Children with early pathology elicited a lower total developmental quotient than healthy controls. HC demonstrated a better performance in fine motor skills, language development, and socioemotional development than their counterparts with EPP. HC showed better gross motor skills as well, but statistical significance was p = 0.08. After controlling for maternal education, overall development and socioemotional development were found to be lower in the EPP group than in the HC group. Conclusions: These findings highlight the need to identify psychopathology and associated developmental deficits early in childhood which might allow more targeted treatments, enhancing developmental opportunities for affected children.
A Retrospective Study on the Incidence of Periprosthetic Fractures Related to Total Hip Arthroplasty and Postoperative Complications During Hospitalization
Authors: Niculescu Victor , Nistor-Cseppento Delia Carmen , Tirla Sebastian , Osser Brigitte , Aur Cristina , Mocuta Diana , Popescu Gheorghe Ion , Necula Radu Dan
Published: February 2025

Background/Objectives: Periprosthetic fractures (PFs) are serious complications that can occur after total hip arthroplasty (THA), particularly in elderly patients who often have multiple comorbidities and low bone density. The surgical treatment of PFs typically involves internal fixation or revision arthroplasty, depending on the fracture type categorized by the Vancouver classification. This study examines the annual incidence of PFs and the complications that arise during hospitalization, as well as the predictive role of age in the occurrence of these fractures and their associated complications. Methods: Based on a retrospective observational study conducted over three years (2021–2023) at the Bihor County Emergency Hospital in Oradea, we analyzed 783 patients who underwent various hip surgeries. Results: The retrospective analysis identified 38 cases of PF out of 768 hip surgeries, resulting in an incidence of PF of 4.5%. Most PFs were classified as Vancouver B, with surgeries mainly involving internal fixation. Complications occurred in 23.68% of cases, including a mortality rate of 7.90%. A correlation analysis examining the relationship between age and post-surgical complications demonstrates a weak and statistically insignificant association (r = 0.120, p = 0.478). To highlight whether age is a predictive factor for PFs, we used the linear regression model; this suggests that older age explains 2.7% of the total variability in the incidence of PFs, being statistically significant ([F(1, 766) = 20.923], p < 0.001). Conclusions: The rising incidence of periprosthetic fractures is closely linked to the increasing number of total hip arthroplasties and the aging population. Fractures of this type are more common in elderly women, with no statistically significant differences have been found between the sexes.
Multicenter Real-World Study: 432 Patients with Apalutamide in Metastatic Hormone-Sensitive Prostate Cancer
Authors: Encarnación Navarro Juan A. , Morillo Macías Virginia , Borrás Calbo María , De la Fuente Muñoz Isabel , Lozano Martínez Antonio , García Martínez Vicente , Fernández Fornos Luis , Guijarro Roche Miriam , Amr Rey Osamah , García Gómez Raquel
Published: February 2025

Background: The management of metastatic hormone-sensitive prostate cancer (mHSPC) has evolved significantly in recent years due to the introduction of androgen receptor-targeted agents (ARTAs). When used alongside androgen deprivation therapy (ADT), these treatments have shown improved oncological results and enhanced survival rates for patients with this condition. Objectives: The objective of this study was to describe the decline in prostate-specific antigen (PSA), the oncological outcomes, and the toxicity profile of mHSPC patients treated with apalutamide. Materials and Methods: Clinical data obtained from seven national hospitals were utilized between March 2021 and July 2024. PSA responses were collected at 3, 6, 12, 18, and 24 months, along with adverse effects reported by patients, dose reductions, or drug discontinuations. The association between PSA decline and progression-free survival (PFS) was evaluated with respect to metastasis volume, location, and timing of diagnosis. Results: A total of 432 patients were included, of whom 40% were de novo cases, and the greater part were classified as M1b. After one year, a reduction of more than 90% in PSA levels was observed in 88.2% of cases, with undetectable levels (≤0.2 ng/mL) achieved in 81.7% of them. The drug was discontinued in 76 patients (15.6%), with adverse effects reported in 7.8% (grade 3) and 1.9% (grade 4). Regarding PSA levels <0.02 ng/mL, promising results were observed, with ultralow PSA (UL2) achieved in 43% of cases at 6 months. Conclusions: This study revealed strong oncological outcomes, with rapid and profound PSA declines and drug safety consistent with emerging evidence. The distinctive finding of this study underscores the importance of a rapid and profound response (UL PSA) as a predictor of better oncological outcomes.
CD8+CD28+PD1− T Cells as a Prognostic Biomarker in Endometrial Cancer
Authors: Nie Yufei , Yang Lin , Zhang Yanan , Guo Hongyan
Published: February 2025

Endometrial cancer (EC) is an immunogenic tumor, with CD8+ T cells playing a pivotal role in antitumor immunity. Overexpression of PD1 suppresses T cell function by inhibiting CD28, a critical co-stimulatory molecule. Classifying CD8+ T cells based on PD1 and CD28 expression provides valuable insights into the immune microenvironment of EC. Peripheral blood samples from 120 EC patients and tumor tissue samples from 81 EC patients were analyzed via flow cytometry. CD8+ T cells were categorized according to PD1 and CD28 expression, and their associations with clinical characteristics were systematically evaluated. Peripheral CD28−/CD8+ and PD1+/CD8+ T cell proportions were significantly associated with several high-risk factors, including deep myometrial invasion, and LVSI, as well as metabolic disorders such as dyslipidemia. Peripheral CD28+PD1−/CD8+ T cells were associated with stage, grade, and LVSI, inversely correlated with age, and elevated in patients with hypertension or dyslipidemia. Tumor-infiltrating CD28+PD1−/CD8+ T cells were associated with tumor grade and LVSI, with multivariate analysis identifying low proportions as an independent predictor of relapse. In summary, CD8+CD28− and CD8+PD1+ T cells are linked to high-risk clinical features in EC, while tumor-infiltrating CD8+CD28+PD1− T cells serve as a key independent prognostic marker for relapse. Additionally, CD8+CD28−, CD8+PD1+, and CD8+CD28+PD1− T cell proportions in PBMC are closely associated with metabolic disorders, emphasizing their potential as biomarkers for immune and metabolic interactions in EC.
Novel Approach to Rule-Out Unnecessary Urine Bence Jones Protein Testing: A Serum Free Light Chain Algorithm
Authors: García Moreira Vanessa , Cepeda Piorno Javier , Sanders Vegara Jùlia , Eyo González Ana , Alberdi García del Castillo Cristina , González García Claudia , Vaktangova Nana , García Castañón Sandra , Al Kassam Martínez Daniel , Chávez Collazos Paula , González García Esther
Published: February 2025

Background/Objectives: Bence Jones proteins (BJPs) are monoclonal immunoglobulin free light chains (FLCs) that appear in the urine of patients with plasma cell disorders, including multiple myeloma (MM), Waldenström’s macroglobulinemia (WM), or light chain amyloidosis (AL). Their presence can provide valuable information about disease progression and treatment efficacy. These proteins are typically detected through a 24-h urine collection, as recommended by clinical guidelines. However, this method can be inconvenient for both patients and laboratory personnel due to its time-consuming nature and the potential for collection errors. We propose an algorithm based on serum FLC (sFLC) to rule out the presence of BJPs and diminish the need for urine testing. Methods: A retrospective data analysis of 268 serum and urine samples from 44 patients with MM was performed, and cutoffs were established to predict BJP absence: total urine protein (0.115 g/L), sFLC κ/λ ratio (>0.82 λ monoclonality and <1.99 κ monoclonality), and difference of involved–uninvolved FLC (dFLC; <11.93 mg/L). A subsequent algorithm validation was performed in 716 samples from patients who underwent the same testing in routine 2023 other laboratory activity. Results: The validation of these cutoffs to rule out the presence of BJP showed that, if the protocol based on the sFLC κ/λ ratio and dFLC had been applied, 42% of the urine studies would have been avoided, achieving a sensitivity of 93.9% and a false negative rate of 6.11%. Conclusions: We propose a laboratory work protocol that would allow for the avoidance of almost half of the 24-h urine studies based on sFLC measurement, a faster and more objective alternative to urine analysis for screening out the presence of BJP, with a good sensitivity and a low false negative rate.
Demographic, Premorbid, and Clinical Characteristics of Schizophrenia Spectrum Patients with High and Low Polygenic Liability to the Disorder
Authors: Alfimova Margarita , Gabaeva Marina , Lezheiko Tatyana , Plakunova Victoria , Chaika Yulia , Golimbet Vera
Published: February 2025

Background/Objectives: Schizophrenia is a clinically heterogeneous complex disorder with a substantial polygenic basis. The discovery of phenotypes indexing genetic differences advances research into the schizophrenia etiology but has proven to be challenging. The study aimed to further clarify the relationships of schizophrenia polygenic risk scores (SZ-PRSs) with a comprehensive array of schizophrenia antecedents and presentations using a culturally and ethnically homogeneous sample of schizophrenia spectrum patients. Methods: The top and bottom deciles (n = 172) of the SZ-PRS distribution in a group of 861 patients were compared on information derived from medical records using logistic regression. Results: High SZ-PRSs were associated with female sex, family history of a wide range of neuropsychiatric conditions, moderately poor premorbid social and cognitive adjustment in childhood, the schizophrenia diagnosis, and positive and “abnormal” psychomotor symptoms. The low-SZ-PRS group demonstrated an accumulation of both individuals with milder forms of SZ spectrum disorders and those with severe premorbid abnormalities in the social, cognitive, and neurological domains. Conclusions: The results highlight moderately poor premorbid social and cognitive adjustment as characteristic manifestations of the polygenic component of the schizophrenia etiology and provide the first piece of PRS-based evidence for the long-standing idea of a higher liability threshold in women. The presence of milder and severe cases in the bottom SZ-PRS decile, suggesting its etiological heterogeneity, might be an important source of the inconsistency in the previous research on SZ-PRSs’ relationship with schizophrenia phenotypes and should be considered in future studies.
Building Community Among K-8 Teachers Through a University-Educator Network Partnership
Authors: Lucero Audrey , Avelar Janette D.
Published: February 2025

At this time of national divisiveness in the U.S., it is more important than ever for youth to have teachers who can facilitate critical conversations about race, immigration, gender, and other fraught issues in their classrooms. In this article, we detail how an innovative partnership among key education stakeholders in the state of Oregon fostered a sense of community and continued learning for kindergarten through eighth grade teachers to address these issues. We did so by developing and facilitating a professional development (PD) sequence focused on anti-racist critical literacy. More than 125 educators from 24 districts around the state participated in the sequence between 2021 and 2024. We begin by situating this work in the literature, then providing an overview of the partnership. Finally, we share the perspectives of 19 educators who spoke in interviews about their experience of the PD. We offer this as an example of how colleges of education can establish and nurture partnerships with other stakeholders to ensure that teachers feel supported in their efforts to further social justice, especially for those who lack community or administrative “backup”, as is the case for many educators in rural parts of the U.S.
Exploring Qualitative Evidence Through a School-Based Intervention: Can Youth Be Empowered Through Writing?
Authors: Farella Maria , Sladeczek Ingrid , Groleau Danielle
Published: February 2025

Background: The mental health crisis among youth, exemplified by the 1.2 million affected in Canada, underscores the urgent need for effective interventions. Research indicates that in-school programs are more successful in addressing common mental health issues and promoting well-being. This evaluation study was performed on the Kids Write Network, an expressive writing intervention that aims to facilitate emotional expression and processing by encouraging individuals to address and reassess adverse life events through writing. This study explores how the cognitive and psychological mechanisms of expressive writing in adolescents can be unveiled through the theoretical approach of empowerment. Methods: Using a multiple case-study design, 50 middle school students from three schools in Montreal, Canada, participated in the expressive writing intervention and were individually interviewed. The data collected from these interviews were analyzed using a comprehensive coding schema to identify the theoretical underpinnings of empowerment. Results: The results demonstrate that writing about one’s negative life event allowed for a better understanding of it through reflection and a clearer understanding of one’s emotions. Conclusions: The findings can inform the development and implementation of school-based empowerment interventions for youth with mental health challenges. Further, our findings emphasize the importance of recognizing and addressing the theoretical approach of empowerment in mental health programs for young individuals.
A New Aging-Aware Multi-Objective Thermal Management Strategy for IGBT Modules in Wind Power Converters
Authors: Liu Xuan , Cui Haoyang , Yang Cheng , Xue Liang , Li Dongdong
Published: February 2025

Converters play a critical role in wind power generation systems, with their reliability directly impacting system stability and operational efficiency. To address the challenges posed by increased thermal load fluctuations due to solder layer aging in insulated gate bipolar transistor (IGBT) modules in converters, this paper proposes an aging-aware multi-objective thermal management (AAMO-TM) strategy to enhance the performance of aging modules. An improved junction temperature estimation model is developed, incorporating coordinated control of switching frequency and gate drive resistance to account for the dynamic thermal behavior of IGBT modules during aging. Pareto and hierarchical optimization techniques are employed to resolve the multi-objective problem of excessive junction temperature suppression, junction temperature fluctuation smoothing, and power quality improvement. Experimental results demonstrate that our proposed AAMO-TM strategy outperforms a competing strategy at temperature fluctuation by a large margin (up to 59.4%). Our proposed strategy significantly enhances the thermal stability of aging IGBT modules while effectively suppressing grid-connected current harmonics. This study provides valuable theoretical insights and practical guidance for achieving the stable operation of wind turbines and delivering high-quality power output.
Verification of SPI Protocol Using Universal Verification Methodology for Modern IoT and Wearable Devices
Authors: Liao Chin-Wen , Yu Hsiu-Chou , Liao Yu-Cheng
Published: February 2025

The Serial Peripheral Interface (SPI) protocol plays a crucial role in wearable and IoT devices, enabling high-speed communication between microcontrollers and peripherals such as sensors, displays, and connectivity modules. With the increasing complexity of modern devices and system-on-chip (SoC) designs, robust verification methods are essential to ensure functionality and reliability. This paper utilizes the Universal Verification Methodology (UVM) to develop a scalable and reusable testbench for SPI verification. The process encompasses test planning, simulation, emulation, and top-level verification to validate multi-slave coordination and error-handling scenarios. The results demonstrate the critical importance of UVM in ensuring the performance and dependability of SPI in advanced electronics, contributing to the reliable integration of the protocol in future devices. The verification results demonstrated a functional coverage of 83.33% and 100% assertion coverage, confirming our approach’s robustness. Analysis of the uncovered functional bins revealed that specific edge cases, such as timing violations and multi-slave arbitration conflicts, require additional test scenarios for full verification. Furthermore, our testbench successfully identified and handled critical fault conditions, such as clock jitter, bus contention, and framing errors, ensuring reliable SPI operation in real-world deployments. These findings highlight the effectiveness of UVM-based verification in improving the reliability and robustness of SPI communication in modern low-power, resource-constrained embedded systems.
Multi-Factor Task Assignment and Adaptive Window Enhanced Conflict-Based Search: Multi-Agent Task Assignment and Path Planning for a Smart Factory
Authors: Li Jinyan , Zhao Yihui , Shen Yan
Published: February 2025

Multi-Agent Systems (MAS) are widely deployed in smart factory environments, where efficient task assignment and path planning for agents can greatly enhance production efficiency. Existing algorithms usually ignore resource constraints, overly simplify the geometric shape of agents, and perform poorly in large-scale scenarios. In this paper, we propose a Multi-Factor Task Assignment and Adaptive Window Enhanced Conflict-Based Search (MTA-AWECBS) algorithm to solve these problems, which considers the resource constraints and volume of agents, improving the algorithm’s scalability and adaptability. In task assignment, a novel scheme is designed by considering distance cost, maximum travel distances, and maximum number of executable tasks. In path planning, we first propose a new mathematical description of global traffic congestion level. Based on this, an adaptive window is proposed to dynamically adjust the time horizon in the WECBS algorithm, improving search efficiency and solving the deadlock issue. Additionally, based on experimental observations, two optimization strategies are proposed to further improve operation efficiency. The experimental results show that MTA-AWECBS outperforms Token Passing (TP), Token Passing with Task Swaps (TPTSs), and Conflict-Based Steiner Search (CBSS) in handling a large number of tasks and agents, achieving an average 39% reduction in timestep cost and an average 22% reduction in total path cost.
Collaborative Forecasting of Multiple Energy Loads in Integrated Energy Systems Based on Feature Extraction and Deep Learning
Authors: Wang Zhe , Duan Jiali , Luo Fengzhang , Qiu Xiaoyu
Published: February 2025

Accurate load forecasting is crucial for the safe, stable, and economical operation of integrated energy systems. However, directly applying single models to predict coupled cooling, heating, and electric loads under complex influencing factors often yields unsatisfactory results. This paper proposes a collaborative load forecasting method based on feature extraction and deep learning. First, the complete ensemble empirical mode decomposition with adaptive noise algorithm decomposes load data, and a dynamic time warping-based k-medoids clustering algorithm reconstructs subsequences aligned with system load components. Second, a correlation analysis identifies the key influencing factors for model input. Then, a multi-task parallel learning framework combining a regression convolutional neural network and long short-term memory networks is developed to predict reconstructed subsequences. Case studies demonstrate that the proposed model achieves mean absolute percentage errors (MAPE) of 2.24%, 2.75%, and 1.69% for electricity, cooling, and heating loads on summer workdays, with mean accuracy (MA) values of 97.76%, 97.25%, and 98.31%, respectively. For winter workdays, the MAPE values are 2.92%, 1.66%, and 2.87%, with MA values of 97.08%, 98.34%, and 97.13%. Compared to traditional single-task models, the weighted mean accuracy (WMA) improves by 2.01% and 2.33% in summer and winter, respectively, validating its superiority. This method provides a high-precision tool for the planning and operation of integrated energy systems.
A New Modified Blade Element Momentum Method for Calculating the Aerodynamic Performance of a Wind Turbine in Yaw
Authors: Wu Jiaying , Sun Zhenye , Zhu Weijun , Fu Shifeng , Xu Chang , Shen Wenzhong
Published: February 2025

The yaw state constitutes a typical operating condition for wind turbines. However, the widely used Blade Element Moment (BEM) theory, due to its adoption of planar disc assumptions, introduces certain computational inaccuracies in yaw conditions. This research aims to develop a new modified BEM method by replacing the momentum theory in traditional BEM with the Madsen analytical linear two-dimensional actuator disc model in order to enhance the accuracy in calculating the aerodynamic performance of yawed wind turbines. Two approaches are introduced to determine the variable parameters in the new modified model: one based on traditional BEM predictions in non-yaw conditions and the other using empirical values determined using experimental data. The new modified model is evaluated against experimental data, CENER FAST, and HAWC2 for the MEXICO rotor. From the comparisons, the new modified method demonstrates closer agreements with experimental values, particularly in the mid and outer parts of the blades. At a wind speed of 15 m/s and a yaw angle of 30°, the discrepancies between computation and measurement are reduced by at least 2.33, 1.22, and 3.25 times at spanwise locations of 60%Radius (R), 82%R, and 92%R, respectively, compared to CENER FAST or HAWC2, demonstrating the feasibility of the proposed methodology.
Carbon Nanotube-Based Drug Delivery System Increases Drug Content and Promotes Immune Response in Mandarin Fish
Authors: Jia Yijun , Zhao Zhao , Chen Leyang , Liu Yongqi , Zhu Bin
Published: February 2025

A number of viral diseases have significantly impeded the growth of the aquaculture industry. Antiviral drugs represent an effective means of controlling infection. However, the efficacy of the entire therapeutic process is contingent upon the availability of an efficient delivery system. This study selected three common antiviral drugs and constructed corresponding drug delivery systems utilising single-walled carbon nanotubes (SWCNTs) as carriers. The reliability of carbon nanotubes as delivery carriers was evaluated by detecting the therapeutic effect on infectious splenic and renal necrosis virus (ISKNV). The findings demonstrated that SWCNTs can effectively enhance the absorption of the three drugs into the body, prolong their metabolic half-life, and improve the survival rate of fish infected with ISKNV. The Ribavirin-SWCNTs (RBV-SWCNTs) group exhibited the most pronounced protective effect, with a mortality rate of less than 25%. It was observed that SWCNTs facilitated the rapid transportation of ribavirin, with the drug content in the RBV-SWCNTs group being approximately double that of the free ribavirin group. Furthermore, this system markedly diminished the viral load, augmented enzyme activities, and elevated antiviral gene expression. This study indicated that carbon nanotubes are optimal carriers for antiviral drugs, which have considerable potential as a delivery vehicle for antiviral drugs to prevent viral infections in aquaculture.
Unravelling Cocoa Drying Technology: A Comprehensive Review of the Influence on Flavor Formation and Quality
Authors: Santander Margareth , Chica Vanessa , Correa Hugo A. Martínez , Rodríguez Jader , Villagran Edwin , Vaillant Fabrice , Escobar Sebastián
Published: February 2025

Cocoa quality serves as a differentiating factor that provides monetary and non-monetary benefits to farmers, defined by the genotype, agroecological conditions of cultivation, and the post-harvest processes involved in transforming seeds into cocoa beans, including harvesting, pre-conditioning, fermentation, and drying. Drying plays a crucial role in ensuring the sensory, chemical, and microbiological quality of the beans, as simultaneous mass and heat transfer phenomena occur during this process, along with chemical reactions (both enzymatic and non-enzymatic) that influence the concentration and dynamics of phenolic compounds, organic acids, methylxanthines, and the formation of volatiles, directly impacting flavor development in cocoa beans. This paper comprehensively reviews cocoa drying methods, variables, and equipment and analyzes their impact on these flavor-determining compounds. The findings highlight that drying significantly contributes to the production of differentiated and specialty quality traits. An integral relationship between the methods, operating variables, and drying equipment applied to cocoa and their implications for the volatile and non-volatile compounds is described.
The Effect of Incorporating Fermented Elderberries (Sambucus nigra) into Bread: Quality, Shelf Life, and Biological Enhancement
Authors: Seixas Natália L. , Paula Vanessa B. , Dias Teresa , Dias Luís G. , Estevinho Letícia M.
Published: February 2025

Elderberries, known for their antioxidant, anti-inflammatory, and antiviral properties, have traditionally been used to prevent and treat infections and boost the immune system. By increasing the quantity and quality of certain compounds, fermentation can potentially make them more effective as food additives. The aim of this study was to evaluate the effect of incorporating fermented elderberries on the bioactivity and shelf life of a traditional bread. The elderberry fermentation process was optimised using Saccharomyces cerevisiae, guided by a Plackett–Burman experimental design. The aim was to assess the impact of incorporating fermented elderberries into bread on its bioactive properties and shelf life. The fermentation of the elderberries was found to enhance their bioactive compounds and antioxidant activity. The total phenolic content ranged from 8.63 to 20.56 mg GAE/g (in samples without and with 2% extract, respectively). The antioxidant capacity, measured using the FRAP method, also showed a significant increase with the addition of the extract (from 9.16 to 26.66 mg Fe (II) E/g of the sample). Furthermore, bread enriched with fermented elderberry extracts demonstrated an extended shelf life during the study period.
Household Food Waste Reduction Determinants in Hungary: Towards Understanding Responsibility, Awareness, Norms, and Barriers
Authors: Keller Veronika , Gombos Szandra
Published: February 2025

Food waste poses a substantial global challenge, with intricate environmental, economic, and ethical ramifications. This study examines household food waste behaviors, emphasizing the interplay of personal responsibility, awareness of consequences, personal norms, and systemic barriers. Employing a thematic analysis of in-depth interviews with 60 households across Hungary’s Central and Western Transdanubian regions, this research explores factors influencing waste-reduction strategies across the pre-, mid-, and post-consumption phases. The thematic analysis of the interview data yielded key themes, including ascription of responsibility (AR), awareness of consequences (AC), personal norms (PN), demographic characteristics (DC), behavioral intentions (FWBI), and barriers (B). Participants identified barriers to waste reduction, such as impulse buying, poor storage practices, and limited knowledge of food rescue initiatives. Incorporating these barriers as a core variable deepens the understanding of systemic challenges, while stage-specific analysis illuminates the evolution of waste-reduction behaviors. These insights will inform targeted interventions, such as community programs, educational campaigns, and technology-driven solutions, including food rescue apps, to foster sustainable consumption. This study’s integration of behavioral theories with actionable strategies provides valuable guidance for policymakers and stakeholders seeking to reduce household food waste on a global scale.
The Performance of the Super-High-Oleic Acid Safflower (Carthamus tinctorius) Oil During Intermittent Frying
Authors: Adjonu Randy , Prenzler Paul D. , Ayton Jamie
Published: February 2025

High-oleic acid edible oils are appealing, especially for frying, due to their nutritional benefits and high heat stability. This study benchmarked the newly developed super-high-oleic acid safflower oil (SHOSO) against high-oleic acid sunflower (HOSO), conventional canola (CCO), and rice bran (RBO) oils in a frying exercise. The oils were used to fry potato chips for 30 h (90 cycles), and their performance was assessed by measuring the changes in total polar compounds (TPCs), tocopherols, and fatty acid composition. SHOSO contained ~91% oleic acid and had the longest induction time (~35 h) compared with HOSO (~80%; 15.3 h), CCO (~62; 8.8 h), and RBO (~41%; 9.7). After 90 frying cycles, SHOSO’s performance was comparable to that of HOSO, showing the highest increase in TPCs and shortest frying lives (~22.5–25.1 h) compared with CCO (~27.5–33.0 h) and RBO (>30 h). Approximately 97% of the tocopherol in both high-oleic acid oils was α-tocopherol, which was depleted within 6 h. Moreover, SHOSO recorded the largest change in oleic acid, followed by HOSO. SHOSO’s higher oleic acid content influenced its thermal stability and frying life. This study showed SHOSO as a suitable frying oil, and its higher oleic acid content makes it attractive as a functional and healthier fat alternative in food formulations.