bluuebunny/crossref_metadata_2025 huggingface dataset:
Cinco de Bio: A Low-Code Platform for Domain-Specific Workflows for Biomedical Imaging Research
Authors: Brandon Colm , Boßelmann Steve , Singh Amandeep , Ryan Stephen , Schieweck Alexander , Fennell Eanna , Steffen Bernhard , Margaria Tiziana
Published: August 2024

Background: In biomedical imaging research, experimental biologists generate vast amounts of data that require advanced computational analysis. Breakthroughs in experimental techniques, such as multiplex immunofluorescence tissue imaging, enable detailed proteomic analysis, but most biomedical researchers lack the programming and Artificial Intelligence (AI) expertise to leverage these innovations effectively. Methods: Cinco de Bio (CdB) is a web-based, collaborative low-code/no-code modelling and execution platform designed to address this challenge. It is designed along Model-Driven Development (MDD) and Service-Orientated Architecture (SOA) to enable modularity and scalability, and it is underpinned by formal methods to ensure correctness. The pre-processing of immunofluorescence images illustrates the ease of use and ease of modelling with CdB in comparison with the current, mostly manual, approaches. Results: CdB simplifies the deployment of data processing services that may use heterogeneous technologies. User-designed models support both a collaborative and user-centred design for biologists. Domain-Specific Languages for the Application domain (A-DSLs) are supported through data and process ontologies/taxonomies. They allow biologists to effectively model workflows in the terminology of their field. Conclusions: Comparative analysis of similar platforms in the literature illustrates the superiority of CdB along a number of comparison dimensions. We are expanding the platform’s capabilities and applying it to other domains of biomedical research.
3D Bioprinting Techniques and Bioinks for Periodontal Tissues Regeneration—A Literature Review
Authors: Almeida Nátaly Domingues , Carneiro Camila Alves , de Marco Andrea Carvalho , Porto Vinicius Carvalho , França Rodrigo
Published: August 2024

The periodontal tissue is made up of supporting tissues and among its functions, it promotes viscoelastic properties, proprioceptive sensors, and dental anchorage. Its progressive destruction by disease leads to the loss of bone and periodontal ligaments. For this reason, biomaterials are constantly being developed to restore tissue function. Various techniques are being used to promote regenerative dentistry, including 3D bioprinting with bioink formulations. This paper aims to review the different types of bioink formulations and 3D bioprinting techniques used in periodontal tissue regeneration. Different techniques have been formulated, and the addition of different materials into bioinks has been conducted, with the intention of improving the process and creating a bioink that supports cell viability, proliferation, differentiation, and stability for periodontal tissue regeneration.
Evaluating the Impact of CO2 on Calcium SulphoAluminate (CSA) Concrete
Authors: Akerele Daniel D. , Aguayo Federico
Published: August 2024

The construction industry is a significant contributor to global CO2 emissions, primarily due to the extensive use of ordinary portland cement (OPC). In response to the urgent need for sustainable construction materials, calcium sulphoaluminate (CSA) cement has emerged as a promising alternative. CSA cement is renowned for its low carbon footprint, high early-age strength, and superior durability, making it an attractive option for reducing the environmental impact of construction activities. While CSA cement offers benefits in carbon emissions reduction, its susceptibility to carbonation presents challenges. Although the body of literature on CSA cement is rapidly expanding, its adoption rate remains low. This disparity may be attributed to several factors including the level of scientific contribution in terms of research focus and lack of comprehensive standards for various applications. As a result, the present study sets out to track the research trajectory within the CSA cement research landscape through a systematic literature review. The study employed the Prefer Reporting Item for Systematic Review and Meta-Analysis (PRISMA) framework to conduct a literature search on three prominent databases, and a thematic analysis was conducted to identify the knowledge gap for future exploration. The study revealed that while CSA concrete demonstrates superior early-age strength and environmental resistance, its susceptibility to carbonation can compromise structural integrity over time. Key mitigation strategies identified include the incorporation of supplementary cementitious materials (SCMs), use of corrosion inhibitors, and optimization of mix designs. The review also highlights the global distribution of research, with notable contributions from the USA, China, and Europe, emphasizing the collaborative effort in advancing CSA concrete technology. The findings are crucial for enhancing sustainability and durability in the construction sector and advancing CSA binders as a sustainable alternative to traditional cement.
Advancing Green Hydrogen Purity with Iron-Based Self-Cleaning Oxygen Carriers in Chemical Looping Hydrogen
Authors: Blaschke Fabio , Prasad Biswal Prabhu , Charry Eduardo Machado , Halper Katharina , Fuchs Maximilian , Resel Roland , Zojer Karin , Lammer Michael , Hasso Richard , Hacker Viktor
Published: August 2024

Green hydrogen is central to the energy transition, but its production often requires expensive materials and poses environmental risks due to the perfluorinated substances used in electrolysis. This study introduces a transformative approach to green hydrogen production via chemical looping, utilizing an iron-based oxygen carrier with yttrium-stabilized zirconium oxide (YSZ). A significant innovation is the replacement of Al2O3 with SiO2 as an inert support pellet, enhancing process efficiency and reducing CO2 contamination by minimizing carbon deposition by up to 700%. The major findings include achieving a remarkable hydrogen purity of 99.994% without the need for additional purification methods. The Fe-YSZ oxygen carrier possesses a significantly higher pore volume of 323 mm³/g and pore surface area of 18.3 m²/g, increasing the pore volume in the iron matrix by up to 50%, further improving efficiency. The catalytic system exhibits a unique self-cleaning effect, substantially reducing CO2 contamination. Fe-YSZ-SiO2 demonstrated CO2 contamination levels below 100 ppm, which is particularly noteworthy. This research advances our understanding of chemical looping mechanisms and offers practical, sustainable solutions for green hydrogen production, highlighting the crucial synergy between support pellets and oxygen carriers. These findings underscore the potential of chemical looping hydrogen (CLH) technology for use in efficient and environmentally friendly hydrogen production, contributing to the transition to cleaner energy sources.
Polymeric Carbon Nitride-CNTs-Ferric Oxide All-Solid Z-Scheme Heterojunction with Improved Photocatalytic Activity towards Organic Dye Removal
Authors: Yang Xinxin , Gong Rongcai , Dong Zhaocen , Liu Guiqing , Han Yunyi , Hou Yuwei , Li Yanjun , Guan Meili , Gong Xuezhong , Tang Jianguo
Published: August 2024

Polymeric carbon nitride (PCN) is a kind of polymeric semiconductor that is widely popular in photocatalysis-related energy and environmental fields. However, the photocatalytic activity is still limited due to its poor conductivity and low charge separation efficiency. In this work, benzene rings were introduced to adjust the electronic structure of PCN, and then a PCN-based all-solid Z-scheme heterojunction was fabricated by combing multiwall carbon nanotubes (CNTs) and ferric oxide through precipitation and the in situ deposit method. Upon optimizing the ratio between PCN, CNTs, and Fe2O3, (PCN:CNTs:Fe2O3 = 10:1:3 by weight), the composites expressed superior photocatalytic degradation activity towards methylene blue (MB) and crystal violet (CV) compared with pristine PCN and Fe2O3. The MB degradation percentage achieved 90% in 75 min, and the CV up to 99.6% within 50 min. The Z-scheme mechanism was verified by band alignment and metal selective deposition. The CNTs in the heterojunction played the role of an electron shuttling mediator and hence improved charge separation efficiency. This work provides ideas for the construction of polymer-inorganic all-solid Z-scheme photocatalysts for practical applications.
Cytokeratin 18 as a Novel Biomarker in Patients with Hypertrophic Cardiomyopathy
Authors: Fragkiadakis Konstantinos , Ktena Niki , Kalantidou Aikaterini , Dermitzaki Eirini , Anastasiou Ioannis , Papathanassiou Stamatis , Kontaraki Joanna , Kalomoirakis Petros , Kanoupakis Emmanuel , Patrianakos Alexandros , Papadomanolakis Antonis , Daskalaki Efsevia , Kiousi Theodora , Kouraki Katerina , Kranioti Elena , Tzardi Maria , Venihaki Maria , Karagogeos Domna , Capetanaki Yassemi , Kardassis Dimitris , Kochiadakis Georgios , Parthenakis Fragkiskos , Marketou Maria
Published: August 2024

Hypertrophic cardiomyopathy (HCM) is a heart muscle disease associated with an increased risk for sudden cardiac death (SCD). Cytokeratin 18-based proteins, such as M30 and M65 antigens, are known cell-death biomarkers. M30 antigen is released from cells during apoptosis, and M65 antigen is released during cell death from any cause, such as apoptosis or necrosis. We aimed to study the expression of M30 and M65 antigens in peripheral blood obtained by 46 HCM patients and compare with 27 age- and sex-matched patients without HCM. We also investigated the CK18 expression in myocardium from postmortem HCM hearts. M30 and M65 antigens were significantly increased in the HCM vs. non-HCM group (Μ30: 338 ± 197 U/uL vs. 206 ± 166 U/uL, p = 0.003; M65: 428 ± 224 U/uL vs. 246 ± 214 U/uL, p = 0.001), and HCM patients with a higher expression of these markers (M30: 417 ± 208 vs. 271 ± 162 U/uL, p = 0.011; M65: 518 ± 242 vs. 351 ± 178 U/uL, p = 0.011) had a higher risk for SCD. In HCM, both apoptosis and necrosis are increased, but particularly necrosis (M30/M65 ratio: 0.75 ± 0.09 vs. 0.85 ± 0.02, p < 0.001). CK18 is expressed in the HCM myocardium (1.767 ± 0.412 vs. 0.537 ± 0.383, % of area, p = 0.0058). Therefore, M30 and M65 antigens may be novel biomarkers in HCM.
TAAR8 Mediates Increased Migrasome Formation by Cadaverine in RPE Cells
Authors: Kim Joon Bum , Bae Ji-Eun , Park Na Yeon , Kim Yong Hwan , Kim Seong Hyun , Hyung Hyejin , Yeom Eunbyul , Choi Dong Kyu , Jeong Kwiwan , Cho Dong-Hyung
Published: August 2024

Migrasomes, the newly discovered cellular organelles that form large vesicle-like structures on the retraction fibers of migrating cells, are thought to be involved in communication between neighboring cells, cellular content transfer, unwanted material shedding, and information integration. Although their formation has been described previously, the molecular mechanisms of migrasome biogenesis are largely unknown. Here, we developed a cell line that overexpresses GFP-tetraspanin4, enabling observation of migrasomes. To identify compounds that regulate migrasome activity in retinal pigment epithelial (RPE) cells, we screened a fecal chemical library and identified cadaverine, a biogenic amine, as a potent migrasome formation inducer. Compared with normal migrating cells, those treated with cadaverine had significantly more migrasomes. Putrescine, another biogenic amine, also increased migrasome formation. Trace amine-associated receptor 8 (TAAR8) depletion inhibited migrasome increase in cadaverine-treated RPE cells, and cadaverine also inhibited protein kinase A phosphorylation. In RPE cells, cadaverine triggers migrasome formation via a TAAR8-mediated protein kinase A signaling pathway.
Comparative Analysis of CAZymes from Trichoderma longibrachiatum LMBC 172 Cultured with Three Different Carbon Sources: Sugarcane Bagasse, Tamarind Seeds, and Hemicellulose Simulation
Authors: Contato Alex Graça , Borelli Tiago Cabral , de Carvalho Ana Karine Furtado , Bento Heitor Buzetti Simões , Buckeridge Marcos Silveira , Rogers Janet , Hartson Steven , Prade Rolf Alexander , Polizeli Maria de Lourdes Teixeira de Moraes
Published: August 2024

The examination of fungal secretomes has garnered attention for its potential to unveil the repertoire of secreted proteins, notably CAZymes (Carbohydrate-Active enzymes), across various microorganisms. This study presents findings on categorizing the secretome profile of CAZymes by their function and family, derived from the filamentous fungus Trichoderma longibrachiatum LMBC 172. The cultivation was performed through submerged fermentation with three distinct carbon sources: sugarcane bagasse, tamarind seeds, and a control simulating hemicellulose containing 0.5% beechwood xylan plus 0.5% oat spelt xylan. The secretome analysis revealed 206 distinct CAZymes. Each carbon source showed particularities and differences. Of these, 89 proteins were produced simultaneously with all the carbon sources; specifically, 41 proteins using only the hemicellulose simulation, 29 proteins when sugarcane bagasse was used as a carbon source, and only 3 when tamarind seeds were used. However, in this last condition, there was a high intensity of xyloglucanase GH74 production, thus reaffirming the richness of xyloglucan in the constitution of these seeds. When evaluating the proteins found in two conditions, 18 proteins were shown between the simulation of hemicellulose and sugarcane bagasse, 11 proteins between the simulation of hemicellulose and tamarind seeds, and 15 proteins between sugarcane bagasse and tamarind seeds. Among the proteins found, there are representatives of different families such as glycosyl hydrolases (GHs) that cleave cellulose, hemicellulose, pectin, or other components; carbohydrate esterases (CEs); polysaccharide lyases (PLs); carbohydrate-binding modules (CBMs); and auxiliary activity enzymes (AAs). These results demonstrate the importance of analyzing CAZymes secreted by microorganisms under different culture conditions.
Impact of Prescription Opioid Detoxification on Quality of Life and Pain Levels
Authors: Laubner Sakalauskienė Gabija , Stražnickaitė Indrė , Miškinytė Sigutė , Zdanavičius Linas , Šipylaitė Jūratė , Badaras Robertas
Published: August 2024

Purpose: The aim of this study was to examine the impact of detoxification from prescription opioids on the quality of life (QoL) and pain levels among patients reliant on these medications for chronic pain management. Objective: Long-term use of opioids for pain management may lead to a range of adverse effects, including tolerance, dependence, significant societal costs, and a decline in overall quality of life (QoL). Despite these challenges, there is a limited amount of research focusing on the effects of detoxification and its impact on the QoL for patients with chronic pain tolerant to prescription opioids. Methods: This prospective study included 45 patients who underwent elective detoxification from prescription opioids. Prescription opioids were discontinued during the detoxification treatment in 44 of the 45 cases. QoL was monitored using SF-36v2™ questionnaires administered before detoxification, on the day of discharge, and at least six months after detoxification. Pain levels were assessed using Visual Analogue Scale (VAS) scores before and after the detoxification process. Results: The study was fully completed by 30 patients. At the third SF-36v2™ evaluation, 25 out of 30 patients (83.3%) reported the detoxification treatment as beneficial to their overall health status compared to that before the treatment, and SF-36v2™ questionnaires after detoxification were significantly higher than before the treatment (p < 0.001). A decreased pain level right after the detoxification was reported by 44 of the 45 patients (97.7%), with a significant average reduction of 4.51 points observed (p < 0.001). Conclusions: The observed enhancement in QoL, significant reduction in pain, and cessation of opioid use in most patients with chronic pain tolerant to prescription opioids following opioid detoxification indicate that this method of treatment can be safely and effectively administered and must be considered for chronic pain patients.
Study on Pulsed Gas Tungsten Arc Lap Welding Techniques for 304L Austenitic Stainless Steel
Authors: Jiang Yi , Wu Jiafeng , Zhou Chao , Han Qingqing , Hua Chunjian
Published: August 2024

The lap welding process for 304L stainless steel welded using the pulsed gas tungsten arc welding (P-GTAW) procedure was studied, and the effects of the pulse welding parameters (the peak current, background current, duty cycle, pulse frequency, and welding speed) on the macroscopic morphology, microstructure, and mechanical properties of the resultant lap joints were investigated. Tensile tests, hardness measurements, and SEM/EDS/XRD analyses were conducted to reveal the characterization of the joint. The relationships between the welding parameters; certain joint characteristic dimensions (the weld width, D; the weld width on the lower plate, La; the weld depth on the lower plate, P; and the minimum fusion radius, R); and the maximum tensile bearing capacity were studied. The weld zone was primarily composed of vermicular ferrite, skeletal ferrite, and austenite, and no obvious welding defects, precipitation, or phase transformations were evident in the weld. Microhardness tests demonstrated that the weld microhardness was highest in the base metal zone and lowest in the weld zone. As the heat input increased, the average microhardness decreased. The hardness difference reached 17.6 Hv10 due to the uneven grain size and the transformation of the structure to ferrite in the weld. The fracture location in welded joints varied as the heat input changed. In some parameter combinations, the weld tensile strength was significantly higher than that of the base material, with fractures occurring in the weld. Scanning electron microscopy results exhibited an obvious dimple morphology, which is a typical form of ductile fracture. XRD revealed no significant phase changes in the weld zone, with a higher intensity of the austenite diffraction peaks compared to the ferrite diffraction peaks.
Full and Partial Facial Affect Recognition in Pediatric Brain Tumour Survivors and Typically Developing Children Following COVID-19 Pandemic
Authors: Buron Laurianne , Perreault Sébastien , Sultan Serge , Bonanno Marco , Coltin Hallie , Laverdière Caroline , Rondeau Émélie , Desjardins Leandra
Published: August 2024

Affect recognition has emerged as a potential mechanism underlying the social competence challenges experienced by pediatric brain tumour survivors (PBTSs). However, many social interactions were altered during the pandemic, with the widespread use of masking potentially impacting affect recognition abilities. Here, we examine affect recognition in PBTSs and typically developing youth (TD) after the onset of the global pandemic. Twenty-three PBTSs and 24 TD between 8 and 16 years old were recruited and completed two performance-based affect recognition tasks (full and partial facial features) and a self-reported questionnaire on mask exposure in their social interactions. Their parents completed parent proxy questionnaires on their child’s social adjustment and sociodemographics. The scores between the PBTSs and TD did not differ significantly in full (t(45) = 1.33, p = 0.19, d = 0.39, 95% CI [−0.69, 3.40]) or partial (t(37.36) = 1.56, p = 0.13, d = 0.46, 95% CI [−0.47, 3.60]) affect recognition, suggesting similar affect recognition between the two groups. These skills were also not significantly correlated with social adjustment or mask exposure (p > 0.05). However, the combined sample had significantly better scores in affect recognition when exposed to partial facial cues versus full. Additionally, participants obtained lower scores on a measure of full facial affect recognition and higher scores on a measure of partial affect recognition compared to pre-pandemic data. The pandemic may have influenced affect recognition across youth, underscoring the importance of further research into its lasting impact on the social competence of youth.
Interleukin-36 Is Highly Expressed in Skin Biopsies from Two Patients with Netherton Syndrome
Authors: Pawlowski Johannes , Pukhalskaya Tatsiana , Cordoro Kelly , Ibraheim Marina Kristy , North Jeffrey P.
Published: August 2024

Netherton syndrome (NS) is a rare autosomal recessive disorder that occurs due to a loss-of-function mutation in SPINK5; this loss results in significant inflammation, as well as perturbations of the skin barrier’s integrity and functionality. While it is unclear which inflammatory pathways contribute to the development of NS, recent studies have demonstrated the expression of interleukin (IL)-17/IL-36, as well as several Th2 cytokines. Consequently, immunohistochemistry (IHC) with IL-36 may serve as a potential tool for aiding the histopathological diagnosis of this condition. In this case series, we present two cases of NS and capture their immunostaining pattern with IL-36. Both cases demonstrated robust expression of IL-36. This finding bolsters the hypothesis that NS is partially driven by Th17 activation and suggests the potential utility of IL-36 IHC as part of the workup for this rare and diagnostically elusive entity. LEKTI IHC was negative in one biopsy, revealing a limitation of this stain in diagnosing NS.
The Role of Small-Bowel Capsule Endoscopy in the Diagnostic Algorithm of Complicated Perianal Disease
Authors: Avni-Biron Irit , Toth Ervin , Ollech Jacob E. , Nemeth Artur , Johansson Gabriele Wurm , Schweinstein Hagai , Margalit Reuma Yehuda , Kopylov Uri , Dotan Iris , Yanai Henit
Published: August 2024

Introduction: Complicated perianal disease (cPD) may be the sole presentation of Crohn’s disease (CD). The role of small-bowel capsule endoscopy (SBCE) in the diagnostic algorithm of cPD is unclear. We aimed to evaluate the role of SBCE as a diagnostic tool, in patients with cPD, after a negative standard workup for CD. Methods: A multicenter, retrospective, cross-sectional study, in patients with cPD, and negative standard workup for CD (ileocolonoscopy and cross-sectional imaging), who underwent SBCE for suspected CD. Demographics, biomarkers, and the Lewis Score (LS) were recorded and analyzed. An LS ≥ 135 was considered a positive SBCE for diagnosing CD. Results: Ninety-one patients were included: 65 (71.4%) males; median age: 37 (29–51) years; cPD duration: 25.1 (12.5–66.1) months. Positive SBCE: 24/91 (26.4%) patients. Fecal calprotectin (FC) positively correlated with LS (r = 0.81; p < 0.001). FC levels of 100 µg/g and 50 µg/g had a sensitivity of only 40% and 55% to rule out small-bowel CD, with a negative predictive value (NPV) of only 76% and 80%, respectively. Conclusions: SBCE contributed to CD diagnosis in a quarter of patients with cPD after a negative standard workup. FC levels correlated with the degree of inflammation defined by the LS. However, the NPV of FC was low, suggesting that SBCE should be considered for patients with cPD even after a negative standard workup.
Topic Modeling on Peer Interaction in Online and Mobile Learning of Higher Education: 1993–2022
Authors: Weng Adam Kao-Wen , Chang Hsiao-Yun , Lai Kuei-Kuei , Lin Yih-Bey
Published: August 2024

The advent of the digital era has catalyzed transformative shifts in educational paradigms, seamlessly integrating sustainable education with innovative pedagogical approaches that cater to a broader spectrum of learners and educators. As the academic landscape evolves into an information-dense environment, traditional models of one-on-one feedback often fall short, resulting in delays and a lack of diverse intellectual engagement. This shift underscores the growing importance of peer feedback and asynchronous post-lesson feedback mechanisms, which have emerged as vital, process-oriented educational activities. Such mechanisms not only address the immediacy and diversity of feedback but also foster a sustainable, collaborative, and engaging learning environment that bolsters student autonomy and interaction. This study conducts a mapping review and synthesis of the literature on peer interaction, assessment, and participatory innovations in online and mobile learning within higher education, covering the period from 1993 to 2022. By employing topic modeling techniques to analyze a corpus of 485 articles, the literature was initially segmented into 19 distinct issues. These were subsequently consolidated into three major thematic models, thereby highlighting significant themes, research focal points, and prospective trends. This analytical process not only enriches the understanding of peer dynamics in digital learning settings but also integrates sustainable educational practices by promoting resource efficiency and inclusivity. The findings serve as a robust reference for future researchers aiming to explore the intersections of technology, peer interaction, and sustainability in educational settings.
Staff Confidence in Supporting Student Mental Health: Outcomes from a Survey
Authors: Whyte Ellice , Payne Helen , Hajilou Bruce
Published: August 2024

(1) Background: The number of university students experiencing mental health problems has been a growing concern over recent decades, and support for them is now considered an inevitable part of the role of an academic. Research into the role of the academic reveals ambiguous expectations and weak support regarding their pastoral responsibilities, leading to a lack of confidence when dealing with student mental health concerns. (2) Methods: Following previous research, the present preliminary study employed an online survey (N = 43) in three schools at a university in the East of England to identify academics’ current confidence in supporting student mental health. This addressed four subscales: (i) identifying mental health concerns in students, (ii) approaching and discussing mental health concerns with students, (iii) academics’ knowledge concerning the central support services available within the university, and (iv) academics’ skills in providing ongoing support for student mental health and wellbeing. (3) Results: Female respondents scored higher than males on their knowledge concerning the central student mental health support services within the university, and 60+-year-old lecturers were least confident in identifying mental health concerns compared to 40–49- and 50–59-year-olds. (4) Conclusions: Recommendations for interventions include mental health awareness training, policy development, and a precise and nuanced description of an academic’s pastoral role and responsibilities to ensure that students receive appropriate and sufficient psychological support.
Cognitive Reappraisal: The Bridge between Cognitive Load and Emotion
Authors: Brockbank Rebecca B. , Feldon David F.
Published: August 2024

Within this integrative review, cognitive load theory (CLT) is asserted as a powerful framework for conceptualizing human cognitive processes within learning. The relationship between cognition and emotion is then examined and further integrated within the scope of CLT. Emotion regulation strategies are discussed and adaptive strategies are proposed as being of particular relevance to broadening the theoretical and practical impacts of CLT. Central to the argument of this review is the use of cognitive reappraisal as a potential mitigator of cognitive load. Cognitive reappraisal involves reframing or reassessing understandings or beliefs that underlie an emotional response, which may mitigate cognitive load imposed by maladaptive emotion. It is proposed that effectively integrating adaptive emotion regulation strategies such as cognitive reappraisal in our pursuit of more effective cognitive functioning will aid in the development of a more integrated model of cognition and emotion within CLT.
Relationship between Vitamin D Insufficiency, Lipid Profile and Atherogenic Indices in Healthy Women Aged 18–50 Years
Authors: Lhilali Ilham , Zouine Noura , Godderis Lode , El Midaoui Adil , El Jaafari Samir , Filali-Zegzouti Younes
Published: August 2024

Although vitamin D insufficiency has been correlated with an increased risk of cardiovascular disease (CVD), there are few data on the association between 25-hydroxyvitamin D (25(OH)D) and atherogenic indices predictive of CVD. This study investigated the relationship of vitamin D status with lipid profile and atherogenic indices in adult women in Morocco. Three hundred women aged 18 to 50 years from Meknes were included. Fasting 25(OH)D and lipid concentrations were assayed by a one-step electrochemiluminescence-based immunoassay and an enzymatic method, respectively. Atherogenic indices (atherogenic index of plasma (AIP), atherogenic coefficient (AC), non-HDL cholesterol (non-HDL-C), Castelli risk indices I and II (CRI-I and II), and CHOLIndex (CI)) were calculated using conventional lipid parameters. Logistic regression models and operating characteristic curve (ROC) analysis were used to assess the relationship of the variables and estimate the threshold of 25(OH)D levels associated with high atherogenic indices. 25(OH) D below 20 ng/mL was significantly associated with an enhanced risk of hypertriglyceridemia and elevated values of AIP, AC, non-HDL-C, and CRI-I with an OR (95% CI) of 4.904 (1.856–12.959), 3.637 (2.149–6.158), 3.589 (1.673–7.700), 2.074 (1.215–3.540), and 2.481 (1.481–4.123), respectively. According to the ROC analysis, the likelihood of hypertriglyceridemia and high values of AIP, AC, non-HDL-C, and CRI-I were associated with 25(OH)D thresholds ≤15.15 ng/mL, ≤17.5 ng/mL, ≤19.8 ng/mL, ≤20.1 ng/mL, and ≤19.5 ng/mL, respectively, all p < 0.01. Based on the atherogenic indices, this study indicates that vitamin D below 20 ng/mL may increase the risk of cardiovascular disease in adult women. Additional health measures are essential to raise awareness among women and health professionals of preventing and controlling cardiovascular risk factors, particularly among young individuals.
Transformer-Based Spatiotemporal Graph Diffusion Convolution Network for Traffic Flow Forecasting
Authors: Wei Siwei , Yang Yang , Liu Donghua , Deng Ke , Wang Chunzhi
Published: August 2024

Accurate traffic flow forecasting is a crucial component of intelligent transportation systems, playing a pivotal role in enhancing transportation intelligence. The integration of Graph Neural Networks (GNNs) and Transformers in traffic flow forecasting has gained significant adoption for enhancing prediction accuracy. Yet, the complex spatial and temporal dependencies present in traffic data continue to pose substantial challenges: (1) Most GNN-based methods assume that the graph structure reflects the actual dependencies between nodes, overlooking the complex dependencies present in the real-world context. (2) Standard time-series models are unable to effectively model complex temporal dependencies, hindering prediction accuracy. To tackle these challenges, the authors propose a novel Transformer-based Spatiotemporal Graph Diffusion Convolution Network (TSGDC) for Traffic Flow Forecasting, which leverages graph diffusion and transformer to capture the complexity and dynamics of spatial and temporal patterns, thereby enhancing prediction performance. The authors designed an Efficient Channel Attention (ECA) that learns separately from the feature dimensions collected by traffic sensors and the temporal dimensions of traffic data, aiding in spatiotemporal modeling. Chebyshev Graph Diffusion Convolution (GDC) is used to capture the complex dependencies within the spatial distribution. Sequence decomposition blocks, as internal operations of transformers, are employed to gradually extract long-term stable trends from hidden complex variables. Additionally, by integrating multi-scale dependencies, including recent, daily, and weekly patterns, accurate traffic flow predictions are achieved. Experimental results on various public datasets show that TSGDC outperforms conventional traffic forecasting models, particularly in accuracy and robustness.
Readiness of Malaysian PV System to Utilize Energy Storage System with Second-Life Electric Vehicle Batteries
Authors: Sarker Md. Tanjil , Haram Mohammed Hussein Saleh Mohammed , Shern Siow Jat , Ramasamy Gobbi , Al Farid Fahmid
Published: August 2024

The potential of renewable energy sources to lower greenhouse gas emissions and lessen our reliance on fossil fuels has accelerated their integration globally, and especially that of solar photovoltaic (PV) systems. Malaysia has shown great progress in the adoption of photovoltaic systems thanks to its plentiful solar resources. On the other hand, energy storage systems (ESSs) are becoming more and more necessary in order to guarantee grid stability and fully realize the benefits of PV systems. This study attempts to assess the current condition of PV installations in Malaysia with an emphasis on their economic feasibility, regulatory compliance, technological capabilities, and compatibility with various energy storage technologies. Malaysian photovoltaic (PV) systems’ readiness to integrate energy storage systems (ESSs) using second-life electric vehicle batteries (SLEVBs) is examined in this article. Integrating PV systems with SLEVBs in residential ESSs shows economic viability, with a 15-year payback and 25% return on investment (ROI). Therefore, for every 1 MW of installed PV capacity, with ESS integration it is estimated to reduce approximately 3504 metric tons of CO2 emissions annually in Malaysia. The homeowner benefits from large electricity bill savings, net metering revenue, and various incentives or financing alternatives that make the project financially attractive despite the extended payback time. Energy storage solutions are needed to improve grid stability, energy usage, and solar power generation in Malaysia as renewable energy adoption increases. Reusing retired EV batteries for stationary storage could solve environmental and economic issues. This study examines the feasibility, regulatory frameworks, and economic viability of combining second-life EV batteries with PV installations in Malaysia.
Overview of the Development of Planar Motor Technology
Authors: Wang Ronglu , Zhang Lu , Yang Kai
Published: August 2024

With the rapid development of the semiconductor chip and precision machining industry, there is a growing demand for high-performance planar drive devices, leading to an increasing depth of research on planar motors. Variable reluctance planar motors, induction planar motors, permanent-magnet synchronous planar motors and DC planar motors are discussed in this paper along with their working principles and current research status. The theory of planar motors remains incomplete and immature despite the extensive research conducted by scholars and research institutions on crucial aspects like magnetic field analysis and electromagnetic force calculations. The objective of this paper is to provide a comprehensive review of the research and development status of planar motors in order to positively impact future advancements in this field.
Understanding the Effect of Carbon Nanotube Core Designs on Controlling Bandgaps and Wave Directionality in Cement
Authors: Kayondo Nanziri Esther , Vemuganti Shreya
Published: August 2024

Phononic or acoustic bandgap materials have often been made using a polymer matrix with metal inclusions such as tin and steel, which have high densities compared to the matrix material. Acoustic bandgaps are observed when waves are not transmitted at certain frequencies. These have been applied in cavity resonators, acoustic waveguides, and more. This paper introduces a concept of using cement as the surrounding matrix and carbon nanotubes as the core inclusions to develop phononic materials. The exhibition of a bandgap makes it possible for the cementitious phononic material to be used as a sensor for cement cracking and defects in oil well bores. This paper discusses ways to optimize the characteristics of the carbon nanotube core to develop gaps in transmission spectra. It shows the behavior of the cementitious material with changing filling fraction, location of core cells, and surrounding defects, creating a pathway for paradigm-shifting non-destructive sensing technologies.
Decarbonizing Nitrogen Fertilizer for Agriculture with Nonthermal Plasma Technology
Authors: Ye Xiaofei Philip
Published: August 2024

Synthetic nitrogen fertilizer is the backbone of modern agriculture, helping to feed ~50% of the world’s population. However, the current industrial production, distribution, and use of nitrogen fertilizers are built on an unsustainable foundation of fossil resources, and are energy-intensive, environmentally polluting, and inefficient in their usage. With the rapidly declining cost of renewable electricity, such as solar and wind, it is time to develop and implement the decentralized production and application of nitrogen fertilizer with nonthermal plasma technologies. Such locally sourced production at the farm site, using only air and water as feedstock, circumvents the need for the extensive capital investment and infrastructure required for synthetic nitrogen fertilizer production and storage, as well as the complex and costly distribution networks. It will be adaptive to the intermittency of the solar/wind electricity supply, leave no carbon footprint, and also have the advantage of being easily switched on/off, immediately responding to weather changes and local conditions, such as soil, climate, crops, and farming business models, for precision agriculture.
Evaluation of Organic Acids and Ultrasound as Pretreatment in Convective Drying Kinetics and Quality Parameters of Pumpkin
Authors: Moura José R. R. de O. , de Morais Blenda R. S. , da Silva João H. F. , Alves Amanda S. S. , Brandão Shirley C. R. , Azoubel Patricia M.
Published: August 2024

There is a growing interest in the food industry in new drying technologies that reduce the time required for dehydration, combined with low energy consumption, low environmental impact, and maintenance of the overall quality of the product. This work investigated convective drying of pumpkin with and without ultrasound-organic (citric or acetic) acid pretreatment for different durations (10, 20, and 30 min). Drying was carried out at 60 °C, and the Wang and Singh model had the best fit for the experimental data. Samples pretreated for 30 min had the shortest drying times. Water diffusivities ranged from 6.68 × 10−8 m2/s to 7.31 × 10−8 m2/s, with the pretreated samples presenting the highest values. The dried pumpkin water activity values were below 0.60. Regarding color parameters, there was a slight increase in luminosity, a slight reduction in a*, and a significant increase in b*. Drying resulted in the loss of ascorbic acid and phenolic compounds, but the samples pretreated with citric acid showed better retention. There was also a reduction in the total carotenoid content, but samples pretreated with acetic acid for 10 and 20 min showed the best retention.
Electrolyzed Salt Solutions Used against Major Postharvest Diseases of Fresh Fruit and Vegetables
Authors: Hadjila Chahinez , Incerti Ornella , Celano Giuseppe , Desopo Marika , Ippolito Antonio , Sanzani Simona Marianna
Published: August 2024

Alternative means of control are becoming increasingly relevant to the improvement of safety and the reduction of postharvest losses and waste of fruit and vegetables, especially in view of the application of the EU Greed Deal. A previous study from our research group that focused on the electrolysis process of water and was conducted using NaCl and NaHCO3 as electrolytes proved to efficiently reduce pathogen inoculum in packinghouse washing water. In the present study, we examined the effect of the electrolyzed salt solutions (eNaCl and eNaHCO3) produced in the same experimental conditions previously reported to be used as postharvest treatments during handling and commercialization, and/or at the consumer’s site. We tested the electrolyzed solutions, obtained in the presence or absence of the salts, against five relevant fungal pathogens in terms of conidia viability, and on various hosts in terms of rot incidence/severity. Chemical parameters of electrolyzed and non-electrolyzed solutions were also assessed. Although a different susceptibility to treatments was observed among pathogens, electrolyzed sodium chloride (eNaCl) was the most efficient treatment for preventing spore germination, as well as for minimizing fruit rot. However, a consistent control of fungal viability and consequent rot was also achieved using electrolyzed tap water (eW). The eNaHCO3, although less efficient on fungal viability, provided a significant effect against fruit rot. The investigated electrolyzed solutions seem promising for reducing the waste of fresh fruit and vegetables.
Bullying Behaviors and Stress (Acute and Perceived) among Undergraduate Nursing and Midwifery Students: The Moderating Role of Gender and Academic Majors
Authors: Almarwani Abdulaziz Mofdy , Alenezi Atallah , Almutairi Mohammed , Alhowaymel Fahad M. , Alzahrani Naif S. , Alharbi Hanan F. , Abaoud Abdulaziz Fahad
Published: August 2024

Background: Nursing and midwifery professionals’ well-being may be affected by various factors, including the bullying of new nurses. Purpose: To analyze the relationship between bullying behaviors, perceived stress, and acute stress among undergraduate nursing and midwifery students in Saudi Arabia, as well as the moderating role of gender and academic majors in this relationship. Method: A cross-sectional correlation design was used, and data were collected from 322 undergraduate nursing and midwifery students enrolled in four major nursing universities in Saudi Arabia. Results: Educational level, environment, and personal attacks had a significant negative impact on perceived and acute stress (social and non-social), while hostility toward academic achievement and direct negative behaviors had significant positive impacts on perceived and acute stress (social and non-social). Female nursing students reported a stronger impact of bullying behavior on their perceived stress, while male students reported a greater impact on social and non-social stress. Nursing students reported a stronger impact of bullying on perceived stress, while midwifery students reported a greater impact on social and non-social stress. Discussion: Nursing educators should raise awareness about the harmful effects of bullying and emphasize the importance of creating a safe, supportive learning environment.
Unlocking the Potential of Vessel Density and the Foveal Avascular Zone in Optical Coherence Tomography Angiography as Biomarkers in Alzheimer’s Disease
Authors: Vagiakis Iordanis , Bakirtzis Christos , Andravizou Athina , Pirounides Demetrios
Published: August 2024

Alzheimer’s disease is the most prevalent form of dementia. Apart from its traditional clinical diagnostic methods, novel ocular imaging biomarkers have the potential to significantly enhance the diagnosis of Alzheimer’s disease. Ophthalmologists might be able to play a crucial role in this multidisciplinary approach, aiding in the early detection and diagnosis of Alzheimer’s disease through the use of advanced retinal imaging techniques. This systematic literature review the utilization of optical coherence tomography angiography biomarkers, specifically vessel density and the foveal avascular zone, for the diagnosis of Alzheimer’s disease. A comprehensive search was performed across multiple academic journal databases, including 11 relevant studies. The selected studies underwent thorough analysis to assess the potential of these optical coherence tomography angiography biomarkers as diagnostic tools for Alzheimer’s disease. The assessment of vessel density and the foveal avascular zone have emerged as a promising avenue for identifying and diagnosing Alzheimer’s disease. However, it is imperative to acknowledge that further targeted investigations are warranted to address the inherent limitations of the existing body of literature. These limitations encompass various factors such as modest sample sizes, heterogeneity among study populations, disparities in optical coherence tomography angiography imaging protocols, and inconsistencies in the reported findings. In order to establish the clinical utility and robustness of these biomarkers in Alzheimer’s disease diagnosis, future research endeavors should strive to overcome these limitations by implementing larger-scale studies characterized by standardized protocols and comprehensive assessments.
Using the Reach Effectiveness Adoption Implementation Maintenance (RE-AIM) Framework to Evaluate a Tailored Education Program to Reduce Obesity-Related Cancers in El Paso, Texas
Authors: Salinas Jennifer J. , Valenzuela Roy
Published: August 2024

Background: Pasos Para Prevenir Cancer is a tailored lifestyle program that focuses on behavioral modification through knowledge and behavioral strategy education, which was delivered in El Paso, Texas, on the U.S.–Mexico border. Methods: Using the RE-AIM framework, we assessed Pasos Para Prevenir Cancer for efficacy and potential for sustainability. Survey, administrative, and observational data were collected between 2018 and 2022. The program was evaluated to determine reach, effectiveness, adoption, implementation, and maintenance. Results: Tailoring and adapting to the U.S.–Mexico border context is feasible and necessary to deliver evidence-based healthy eating and active living education content. Pasos Para Prevenir Cancer was well received and delivered in diverse settings with varying linguistic needs. Components of the program were adopted by other organizations and integrated into existing programming. Conclusions: Adapting and tailoring evidence-based programs to improve healthy eating and active living is required to meet the needs of Latino subgroup populations, like those on the U.S.–Mexico border.
Optimal Market-Neutral Multivariate Pair Trading on the Cryptocurrency Platform
Authors: Yang Hongshen , Malik Avinash
Published: August 2024

This research proposes a novel arbitrage approach in multivariate pair trading, termed the Optimal Trading Technique (OTT). We present a method for selectively forming a “bucket” of fiat currencies anchored to cryptocurrency for monitoring and exploiting trading opportunities simultaneously. To address quantitative conflicts from multiple trading signals, a novel bi-objective convex optimization formulation is designed to balance investor preferences between profitability and risk tolerance. We understand that cryptocurrencies carry significant financial risks. Therefore this process includes tunable parameters such as volatility penalties and action thresholds. In experiments conducted in the cryptocurrency market from 2020 to 2022, which encompassed a vigorous bull run followed by a bear run, the OTT achieved an annualized profit of 15.49%. Additionally, supplementary experiments detailed in the appendix extend the applicability of OTT to other major cryptocurrencies in the post-COVID period, validating the model’s robustness and effectiveness in various market conditions. The arbitrage operation offers a new perspective on trading, without requiring external shorting or holding the intermediate during the arbitrage period. As a note of caution, this study acknowledges the high-risk nature of cryptocurrency investments, which can be subject to significant volatility and potential loss.