bluuebunny/crossref_metadata_2025 huggingface dataset:
Recommended Physiotherapy Modalities for Oncology Patients with Palliative Needs and Its Influence on Patient-Reported Outcome Measures: A Systematic Review
Authors: Gauchez Luna , Boyle Shannon Lauryn L. , Eekman Shinfu Selena , Harnie Sarah , Decoster Lore , Van Ginderdeuren Filip , De Nys Len , Adriaenssens Nele
Published: October 2024

Background: This review aims to explore the role of physiotherapy in early and traditional palliative care (PC) for oncology patients, focusing on its impact on six patient-reported outcomes (PROMs), namely fatigue, pain, cachexia, quality of life (QoL), physical functioning (PHF), and psychosocial functioning (PSF). The purpose is to assess the effectiveness of various physiotherapy interventions and identify gaps in the current research to understand their potential benefits in PC better. Methods: A systematic literature search was conducted across PubMed, Embase, and Web of Science, concluding on 21 December 2023. Two independent reviewers screened the articles for inclusion. The Cochrane Risk of Bias Tool 2 was employed to assess the risk of bias, while the GRADE approach was used to evaluate the certainty of the evidence. Results: Nine randomized controlled trials (RCTs) were included, with most showing a high risk of bias, particularly in outcome measurement and missing data. Cognitive behavioral therapy (CBT) was the only intervention that significantly reduced fatigue, enhanced PHF, and improved QoL and emotional functioning. Graded exercise therapy (GET) did not yield significant results. Combined interventions, such as education with problem-solving or nutritional counseling with physical activity, showed no significant effects. Massage significantly improved QoL and reduced pain, while physical application therapies were effective in pain reduction. Mindful breathing exercises (MBE) improved QoL but had a non-significant impact on appetite. The overall certainty of the evidence was low. Conclusions: Physiotherapy can positively influence PROMs in oncology PC; however, the low quality and high risk of bias in existing studies highlight the need for more rigorous research to confirm these findings and guide clinical practice.
Triple Combination of Entinostat, a Bromodomain Inhibitor, and Cisplatin Is a Promising Treatment Option for Bladder Cancer
Authors: Bollmann Lukas M. , Lange Friedrich , Hamacher Alexandra , Biermann Lukas , Schäker-Hübner Linda , Hansen Finn K. , Kassack Matthias U.
Published: October 2024

Background/Objectives. Cisplatin is part of the first-line treatment of advanced urothelial carcinoma. Cisplatin resistance is a major problem but may be overcome by combination treatments such as targeting epigenetic aberrances. Here, we investigated the effect of the class I HDACi entinostat and bromodomain inhibitors (BETis) on the potency of cisplatin in two pairs of sensitive and cisplatin-resistant bladder cancer cell lines. Cisplatin-resistant J82cisR and T24 LTT were 3.8- and 24-fold more resistant to cisplatin compared to the native cell lines J82 and T24. In addition, a hybrid compound (compound 20) comprising structural features of an HDACi and a BETi was investigated. Results. We found complete (J82cisR) or partial (T24 LTT) reversal of chemoresistance upon combination of entinostat, JQ1, and cisplatin. The same was found for the BETis JQ35 and OTX015, both in clinical trials, and for compound 20. The combinations were highly synergistic (Chou Talalay analysis) and increased caspase-mediated apoptosis accompanied by enhanced expression of p21, Bim, and FOXO1. Notably, the combinations were at least 4-fold less toxic in non-cancer cell lines HBLAK and HEK293. Conclusions. The triple combination of entinostat, a BETi, and cisplatin is highly synergistic, reverses cisplatin resistance, and may thus serve as a novel therapeutic approach for bladder cancer.
Development of Robust CuNi Bimetallic Catalysts for Selective Hydrogenation of Furfural to Furfuryl Alcohol under Mild Conditions
Authors: He Deqin , Liang Zheng , Gu Juwen , Sang Xuechun , Liu Yujia , Qiu Songbai
Published: October 2024

Furfuryl alcohol represents a pivotal intermediate in the high-value utilization of renewable furfural, derived from agricultural residues. The industrial-scale hydrogenation of furfural to furfuryl alcohol typically employs Cu-based catalysts, but their limited catalytic activity necessitates high-temperature and high-pressure conditions. Here, we develop robust CuNi bimetallic catalysts through direct calcination of dried sol–gel precursors under H2 atmosphere, enabling the complete conversion of furfural to furfuryl alcohol under mild conditions. By adjusting the calcination atmosphere and introducing small amounts of Ni, we achieve the formation of highly dispersed, ultrasmall Cu nanoparticles, resulting in a significant enhancement of the catalytic activity. The optimized 0.5%Ni-10%Cu/SiO2-CA(H2) catalyst demonstrates superior catalytic performance, achieving 99.4% of furfural conversion and 99.9% of furfuryl alcohol selectivity, respectively, at 55 °C under 2 MPa H2, outperforming previously reported Cu-based catalysts. The excellent performance of CuNi bimetallic catalysts can be attributed to the highly dispersed Cu nanoparticles and the synergistic effect between Cu and Ni for H2 activation. This research contributes to the rational design of Cu-based catalysts for the selective hydrogenation of furfural.
An Optimized Liquid Chromatography–Mass Spectrometry Method for Ganglioside Analysis in Cell Lines
Authors: Sanni Akeem , Bennett Andrew , Huang Yifan , Gidi Isabella , Adeniyi Moyinoluwa , Nwaiwu Judith , Kang Min , Keyel Michelle , Gao ChongFeng , Reynolds C. , Haab Brian , Mechref Yehia
Published: October 2024

Gangliosides are glycosphingolipids composed of a sialylated glycan head group and a ceramide backbone. These anionic lipids form lipid rafts and play crucial roles in regulating various proteins involved in signal transduction, adhesion, and cell–cell recognition. Neuroblastoma, a pediatric cancer of the sympathetic nervous system, is treated with intensive chemotherapy, radiation, and an antibody targeting the GD2 ganglioside. Gangliosides are critical in neuroblastoma development and serve as therapeutic targets, making it essential to establish a reliable, rapid, and cost-effective method for profiling gangliosides, particularly one capable of isomeric separation of intact species. In this study, liquid chromatography–mass spectrometry (LC-MS) was optimized using standard gangliosides, followed by the optimization of sphingolipid extraction methods from cell lines by comparing Folch and absolute methanol extraction techniques. Percent recovery and the number of identified sphingolipids were used to evaluate the analytical merits of these methods. A standard gangliosides calibration curve demonstrated excellent linearity (R2 = 0.9961–0.9975). The ZIC-HILIC column provided the best separation of ganglioside GD1 isomers with a 25 min runtime. GD1a elutes before GD1b on the ZIC-HILIC column. Absolute methanol yielded better percent recovery (96 ± 7) and identified 121 different sphingolipids, the highest number between the two extraction methods. The optimized method was applied to profile gangliosides in neuroblastoma (COG-N-683), pancreatic cancer (PSN1), breast cancer (MDA-MB-231BR), and brain tumor (CRL-1620) cell lines. The ganglioside profile of the neuroblastoma cell line COG-N-683 showed an inverse relationship between GD1 and GD2. Ceramide, Hex1Cer, GM1, and GM3 were highly abundant in CRL-1620, PSN1, and MDA-MB-231BR, respectively. These results suggest that our method provides a sensitive, reliable, and high-throughput workflow for ganglioside profiling across different cell types.
Involvement of the Kinin B1 Receptor in Increased Permeability of Cerebral Microvessels in Rats Subjected to Autoimmune Encephalomyelitis
Authors: Sulkowski Grzegorz , Dąbrowska-Bouta Beata , Frontczak-Baniewicz Małgorzata , Strużyńska Lidia
Published: October 2024

Kinins are vasoactive peptides that are involved in various cellular mechanisms, including the inflammatory response. Kinins, released in vessel walls, exacerbate inflammation by modulating the production and release of pro-inflammatory factors via two types of G protein-related receptors—B1 and B2 receptors. B1 R is overexpressed during the inflammation that accompanies numerous neurological disorders, including multiple sclerosis (MS), in which loss of BBB integrity is an early pathomechanism of the disease. In this work, we apply pharmacological inhibition of the kinin B1 receptor with DALBK to investigate its effect on blood–brain barrier (BBB) permeability during the course of EAE, an animal model of MS. Functional, ultrastructural and molecular analyses were performed. The expression of selected BBB-associated proteins such as occludin and claudin-5 was assessed, as well as the astrocytic marker GFAP. We show that administration of a specific antagonist attenuates neurological symptoms in EAE rats and recovers the downregulation of TJ proteins and BBB leakage observed during the course of the disease, as well as significantly reducing the disease-specific activation of astroglia. The results show that B1 R-mediated signaling is involved in inducing molecular changes at the level of cerebral microvessels, leading to increased permeability of the BBB following neuroinflammation in EAE.
The Structures, Functions, and Roles of Class III HDACs (Sirtuins) in Neuropsychiatric Diseases
Authors: Bonomi Robin E. , Riordan William , Gelovani Juri G.
Published: October 2024

Over the past two decades, epigenetic regulation has become a rapidly growing and influential field in biology and medicine. One key mechanism involves the acetylation and deacetylation of lysine residues on histone core proteins and other critical proteins that regulate gene expression and cellular signaling. Although histone deacetylases (HDACs) have received significant attention, the roles of individual HDAC isoforms in the pathogenesis of psychiatric diseases still require further research. This is particularly true with regard to the sirtuins, class III HDACs. Sirtuins have unique functional activity and significant roles in normal neurophysiology, as well as in the mechanisms of addiction, mood disorders, and other neuropsychiatric abnormalities. This review aims to elucidate the differences in catalytic structure and function of the seven sirtuins as they relate to psychiatry.
Preparation of Tung Oil-Modified Raw Lacquer Films and Application for Mechanical Carving Technique
Authors: Wu Tong , Xu Wei
Published: October 2024

Raw lacquer, known for its superior performance as a natural liquid coating, boasts excellent physical and mechanical properties as well as durability, making it widely used in manufacturing. However, the high hardness of the lacquer film upon complete curing poses challenges for carving and mechanical engraving. Therefore, it is necessary to study the curing process of lacquer films to obtain films suitable for carving or mechanical engraving. This study involves the preparation of raw lacquer with varying amounts of tung oil added, followed by the measurement of film drying time, surface roughness, glossiness, hardness, and adhesion on substrates to determine the optimal drying conditions. Additionally, SEM analysis of the carved surfaces and FT-IR analysis were used to investigate the impact of tung oil addition on lacquer carving performance and its variation. The results indicate that tung oil, to a certain extent, contributes to a smoother lacquer film but adversely affects film hardness and adhesion to Prunus serotina. However, with an increase in the amount of refined tung oil to 15%, the film exhibits improved glossiness, smoother carving tool marks, and reduced debris, thereby validating the feasibility of mechanical carving of tung oil-modified raw lacquer to some extent.
Green Communication in IoT for Enabling Next-Generation Wireless Systems
Authors: Aljaidi Mohammad , Kaiwartya Omprakash , Samara Ghassan , Alsarhan Ayoub , Mahmud Mufti , Alenezi Sami M. , Alazaidah Raed , Lloret Jaime
Published: October 2024

Recent developments and the widespread use of IoT-enabled technologies has led to the Research and Development (R&D) efforts in green communication. Traditional dynamic-source routing is one of the well-known protocols that was suggested to solve the information dissemination problem in an IoT environment. However, this protocol suffers from a high level of energy consumption in sensor-enabled device-to-device and device-to-base station communications. As a result, new information dissemination protocols should be developed to overcome the challenge of dynamic-source routing, and other similar protocols regarding green communication. In this context, a new energy-efficient routing protocol (EFRP) is proposed using the hybrid adopted heuristic techniques. In the densely deployed sensor-enabled IoT environment, an optimal information dissemination path for device-to-device and device-to-base station communication was identified using a hybrid genetic algorithm (GA) and the antlion optimization (ALO) algorithms. An objective function is formulated focusing on energy consumption-centric cost minimization. The evaluation results demonstrate that the proposed protocol outperforms the Greedy approach and the DSR protocol in terms of a range of green communication metrics. It was noticed that the number of alive sensor nodes in the experimental network increased by more than 26% compared to the other approaches and lessened energy consumption by about 33%. This leads to a prolonged IoT network lifetime, increased by about 25%. It is evident that the proposed scheme greatly improves the information dissemination efficiency of the IoT network, significantly increasing the network’s throughput.
Integrative Biomarker Panel for Improved Lung Cancer Diagnosis Using Plasma microRNAs and Sputum Bacterial DNA
Authors: Dhilipkannah Pushpa , Sachdeva Ashutosh , Holden Van K. , Jiang Feng
Published: October 2024

This study aimed to evaluate if integrating diverse molecular biomarkers in plasma and sputum could improve the diagnosis of lung cancer. The study analyzed miRNAs in plasma and bacterial DNA in sputum from 58 lung cancer patients and 62 cancer-free smokers using droplet digital PCR. The individual plasma miRNA and sputum bacterial biomarkers had sensitivities of 62–71% and specificities of 61–79% for diagnosing lung cancer. A panel of plasma miRNA or sputum bacterial biomarkers produced sensitivities of 79–85% and specificities of 74–82%. An integromic signature consisting of two miRNAs in plasma and three bacterial biomarkers in sputum had a higher sensitivity (87%) and specificity (89%) compared to individual biomarkers. The signature’s diagnostic value was confirmed in a validation cohort of 56 lung cancer patients and 59 controls, independent of tumor stage, histological type, and demographic factors. Integrating diverse molecular biomarkers in plasma and sputum could improve the diagnosis of lung cancer.
Eyes as Windows: Unveiling Neuroinflammation in Multiple Sclerosis via Optic Neuritis and Uhthoff’s Phenomenon
Authors: Pleșa Andreea , Antochi Florina Anca , Macovei Mioara Laura , Vîrlan Alexandra-Georgiana , Georgescu Ruxandra , Beuran David-Ionuț , Bucurica Săndica Nicoleta , Sîrbu Carmen Adella , Axelerad Any , Pleșa Florentina Cristina
Published: October 2024

Background/Objectives: This study investigated the frequency and timing of optic neuritis (ON) episodes in relation to the onset of multiple sclerosis (MS) and examined the occurrence of Uhthoff’s phenomenon and Lhermitte’s sign to understand their roles in early diagnosis and disease progression. Methods: A longitudinal study was conducted with 127 MS patients. Clinical data, including ophthalmological examinations for ON, were collected and questionnaires assessed the presence of Uhthoff’s phenomenon and Lhermitte’s sign. Results: Results showed that 37% of patients experienced demyelinating retrobulbar ON, with 25.53% having ON as the initial symptom of MS. Residual visual acuity impairment (below 20/40) and dyschromatopsia were reported by 25.53% and 17.02% of patients, respectively. Uhthoff’s phenomenon and Lhermitte’s sign were present in 26.77% and 36.22% of patients, respectively. The findings underscore the importance of early ophthalmological assessments in diagnosing MS, as ON can be an initial indicator of the disease. Conclusions: The study highlights the need for precise diagnostic tools and personalized therapeutic strategies focused on specific biomarkers and pathways involved in neuroinflammation and demyelination. Early diagnosis through vigilant ophthalmologic evaluation can lead to interventions that significantly alter disease progression, improving patient outcomes and quality of life.
Diagnostic Accuracy of the LabTurbo QuadAIO Common Flu Assay for Detecting Influenza A Virus, Influenza B Virus, RSV, and SARS-CoV-2
Authors: Tai Chi-Sheng , Jian Ming-Jr , Lin Tai-Han , Chung Hsing-Yi , Chang Chih-Kai , Perng Cherng-Lih , Hsieh Po-Shiuan , Shang Hung-Sheng
Published: October 2024

Background: The coronavirus disease 2019 (COVID-19) pandemic has highlighted the urgent need for rapid and accurate diagnostic tools for upper respiratory tract infections (URTIs). Nucleic acid amplification tests (NAATs) have transformed URTI diagnostics by enabling the rapid detection of multiple pathogens simultaneously, thereby improving patient management and infection control. This study aimed to evaluate the diagnostic accuracy of the LabTurbo QuadAIO Common Flu Assay compared to that of the Xpert Xpress CoV-2/Flu/RSV Plus Assay for detecting SARS-CoV-2, Influenza A, Influenza B, and respiratory syncytial virus (RSV). Methods: A retrospective diagnostic accuracy study was conducted using nasopharyngeal samples from patients. Samples were tested using the LabTurbo QuadAIO Common Flu Assay and the comparator Xpert Xpress CoV-2/Flu/RSV Plus Assay. Positive and negative percent agreements (PPA and NPA) were calculated. Results: The LabTurbo Assay demonstrated a PPA of 100% and an NPA of 100% for SARS-CoV-2, Influenza A, and Influenza B, whereas it showed a PPA of 100% and an NPA of 98.3% for RSV. Conclusions: The LabTurbo QuadAIO Assay exhibited high diagnostic accuracy for detecting multiple respiratory pathogens, including SARS-CoV-2, Influenza A, Influenza B, and RSV. Despite the slight discrepancy in the NPA for RSV, the overall performance of the LabTurbo Assay supports its integration into routine diagnostic workflows to enhance patient management and infection control.
Exploring the Intersection of Blood Transfusion and Same-Day Computed Tomography Imaging: An Overview of Clinical Risks and Practices
Authors: Bălăceanu Lavinia Alice , Grigore Cristiana , Gurău Cristian-Dorin , Giuglea Carmen , Popa Gelu-Adrian , Mihai Mara Mădălina , Dina Ion , Bălăceanu-Gurău Beatrice
Published: October 2024

The use of transfusions, whether involving whole blood or specific blood components, is essential for managing various clinical conditions. Many cases are acute, often requiring post-transfusion imaging evaluation. While there is no absolute contraindication for chest imaging following blood transfusion, it should be approached cautiously. We conducted a comprehensive search across multiple databases and registries. Research studies were limited to full-text original articles, reviews, and case reports published in English, involved human subjects, and focused on the interplay between blood transfusions and contrast-enhanced imaging. Scientific analyses were excluded if they did not focus on transfusion practices in the context of imaging or failed to address issues such as hemoglobin thresholds, transfusion reactions, or the clinical implications of contrast agents. Our research fills this gap by emphasizing the need for a cautious, multidisciplinary approach to post-transfusion computed tomography (CT) scans, especially in the presence of contrast agents. This study calls for increased awareness of the heightened risk of complications, such as autoimmune hemolysis, when both procedures are performed together. New insights from our research recommend individualized assessments and close patient monitoring when combining these interventions. Nevertheless, patients need to be hemodynamically and clinically stable before undergoing CT. Discussions. Symptoms that develop within the first 24 h post-transfusion are classified as secondary post-transfusion reactions unless proven otherwise. The prevalence of side effects from same-day CT scans and blood transfusions is challenging to quantify, as few studies focus on this combination. Transfusions and contrast-enhanced CT scans share overlapping adverse reactions and carry significant risks. Acute hemolytic red blood cell transfusion reactions are among the most frequent side effects, with a prevalence of 1:12,000–38,000. Conclusion. Our study contributes new insights to the literature by filling the gap concerning the interplay between transfusions and contrast media, paving the way for more informed clinical protocols to enhance patient safety.
Early CYP3A5 Genotype-Based Adjustment of Tacrolimus Dosage Reduces Risk of De Novo Donor-Specific HLA Antibodies and Rejection among CYP3A5-Expressing Renal Transplant Patients
Authors: Schönfelder Kristina , Möhlendick Birte , Eisenberger Ute , Kribben Andreas , Siffert Winfried , Heinemann Falko M. , Gäckler Anja , Wilde Benjamin , Friebus-Kardash Justa
Published: October 2024

Background/Objectives: Our previous retrospective single-center cohort study found, at 3-year follow-up, a trend toward low tacrolimus trough levels and an increased risk of de novo donor-specific anti-HLA antibodies (DSAs) and of antibody-mediated rejection (ABMR) in CYP3A5-expressing patients. Determining CYP3A5-expression status immediately after renal transplant would allow early genotype-based dosage adjustment of tacrolimus and might prevent the occurrence of de novo DSAs and ABMR, improving transplant outcome. Methods: 160 renal allograft recipients who underwent renal transplant at the University Hospital Essen between May 2019 and May 2022 were genotyped for the CYP3A5 rs776746 polymorphism within the first two weeks after transplant, and genotype-based dose adjustment of tacrolimus was performed for the follow-up of 2 years. Results: CYP3A5 expression was detected in 33 (21%) of the 160 patients. Tacrolimus trough levels were similar in CYP3A5 expressers and nonexpressers over the entire 2-year follow-up period. However, we observed a trend toward slightly higher tacrolimus trough levels in CYP3A5 expressers, who, as expected, required tacrolimus dosages twice as high as did nonexpressers during follow-up. Calcineurin inhibitor (CNI) nephrotoxicity-free survival rates were comparable between CYP3A5 expressers and nonexpressers (p = 0.49). Rejection-free survival rates (p = 0.89), de novo anti-HLA antibody-free survival rates (p = 0.57) and de novo DSA-free survival rates (p = 0.61) did not differ between the two groups. Conclusions: Early detection of CYP3A5-expression status and resultant genotype-based adjustment of tacrolimus dosage after renal transplant protected patients from transplant rejection and de novo DSA formation and was not associated with increased incidence of CNI toxicity among CYP3A5 expressers.
Combining Computational Fluid Dynamics, Structural Analysis, and Machine Learning to Predict Cerebrovascular Events: A Mild ML Approach
Authors: Siogkas Panagiotis K. , Pleouras Dimitrios , Pezoulas Vasileios , Kigka Vassiliki , Tsakanikas Vassilis , Fotiou Evangelos , Potsika Vassiliki , Charalampopoulos George , Galyfos George , Sigala Fragkiska , Koncar Igor , Fotiadis Dimitrios I.
Published: October 2024

Background/Objectives: Cerebrovascular events, such as strokes, are often preceded by the rupture of atherosclerotic plaques in the carotid arteries. This work introduces a novel approach to predict the occurrence of such events by integrating computational fluid dynamics (CFD), structural analysis, and machine learning (ML) techniques. The objective is to develop a predictive model that combines both imaging and non-imaging data to assess the risk of carotid atherosclerosis and subsequent cerebrovascular events, ultimately improving clinical decision-making. Methods: A multidisciplinary approach was employed, utilizing 3D reconstruction techniques and blood-flow simulations to extract key plaque characteristics. These were combined with patient-specific clinical data for risk evaluation. The study involved 134 asymptomatic individuals diagnosed with carotid artery disease. Data imbalance was addressed using two distinct approaches, with the optimal method chosen for training a Gradient Boosting Tree (GBT) classifier. The model’s performance was evaluated in terms of accuracy, sensitivity, specificity, and ROC AUC. Results: The best-performing GBT model achieved a balanced accuracy of 88%, with a ROC AUC of 0.92, a sensitivity of 0.88, and a specificity of 0.91. This demonstrates the model’s high predictive power in identifying patients at risk for cerebrovascular events. Conclusions: The proposed method effectively combines CFD, structural analysis, and ML to predict cerebrovascular event risk in patients with carotid artery disease. By providing clinicians with a tool for better risk assessment, this approach has the potential to significantly enhance clinical decision-making and patient outcomes.
iCan, Empowering Recovery: Evaluating a Patient-Centred Cancer Rehabilitation Programme across the Cancer Care Continuum
Authors: Loweth Thomas A. , Taylor Suzan R. , Mapp Gareth , Bebbington Kim , Atkin Naomi , Kite Chris
Published: October 2024

Background/Objectives: The adverse effects of cancer and the long-term sequelae of associated treatments result in reduced quality of life and increased mortality for patients. Supporting patients with cancer to mitigate adverse outcomes is an important aspect of oncology care and the primary purpose of cancer rehabilitation. A retrospective service evaluation was conducted to evaluate the effectiveness of the core iCan patient-centred cancer rehabilitation service. Methods: At the beginning and end of a five-week programme, a series of questionnaires evaluating changes in mental health and wellbeing, and physical activity performance/attitudes, and functional capacity were administered to participants. Results: Following iCan, we found that functional capacity was improved (30 s sit-to-stand: +6.3 repetition; d = −1.00, p < 0.001) and that self-reported physical activity was increased (~1173 MET-mins/wk; d = −0.76, p < 0.001); participants also perceived greater capability, opportunity, and motivation to be active. Mental wellbeing was also improved (SWEMWBS: d = −0.69, p < 0.001), whilst fatigue was reduced (FACIT: d = −0.77, p < 0.001). Conclusion: It appears that iCan has beneficial effects upon the physical/functional and psychological health of its participants. Where data are available, there appear to be clinically significant improvements across the range of measured functional, wellbeing, and activity/sedentariness outcomes, which suggest that participation in iCan is instrumental in adding value to the health and wellbeing of patients.
The Influence of the Sherman STEM Teacher Scholars Program on Persistence in Science, Technology, Engineering, and Mathematics: A Mixed-Methods Study
Authors: Goings Ramon B. , Boyd Brittany
Published: October 2024

This sequential explanatory mixed-methods study investigated the differences in persistence between students from the Sherman STEM Teacher Scholars Program (STEP), a STEM teacher scholarship and career preparation program, and STEM majors not in the program. Quantitative results indicated that STEP participants had higher levels of academic integration, women scored higher on persistence factors than men, and White students had a higher degree commitment than students of color. Qualitative findings indicated that STEP provided a family atmosphere and connected their coursework to their career aspirations. Women of color felt stereotyped by White classmates in STEM courses, which impacted their degree of commitment, and students of color in STEP relied on the program as a counterspace to racially insensitive STEM classrooms.
E-Textbooks as a Teaching Aid at a University of Technology in South Africa: A Cultural-Historical Activity Theory Analysis
Authors: Rzyankina Ekaterina
Published: October 2024

The past two years saw a rapid proliferation of information and communication technologies (ICTs) in higher education. Digital technologies and environments offer many affordances. New digital literacy practices in universities have implications for teaching and learning. E-textbooks, in particular, act as mediating tools that can facilitate teaching and learning through developing students’ understandings of scientific concepts. This paper positions e-textbooks as mediators of learning, rather than merely objects of learning. There is thus a need to understand the mediating role of e-textbooks that lecturers draw on in their teaching. While much research was conducted on students’ use of e-textbooks, relatively little was conducted on lecturers’ use of e-textbooks in engineering education. The current study aimed to answer the following research question: What are lecturers’ perspectives on the use of e-textbooks to facilitate learning in engineering? To address this question, data were collected through five individual interviews conducted with engineering lecturers working in the Extended Curriculum Programme (ECP) of first-year students from three engineering departments (chemical engineering, mechanical engineering, and nautical science) at a university of technology in South Africa. The data were analysed using thematic content analysis with the help of ATLAS.ti. Data analysis was guided by a theoretical framework that drew on the cultural-historical activity theory (CHAT). In this study, the focus was on e-textbooks as pedagogical tools within engineering teaching and learning. The findings provide insight into how lecturers incorporate e-textbooks into their teaching, but also reveal the extent to which new digital literacy reading practices remain unfamiliar to engineering lecturers. CHAT enabled the identification of a critical insight, namely, the tension between mediation and division of labour. This highlights important aspects of the discourse surrounding seamless technology integration in higher education. The discussion points to the need for an expansive transformation regarding the use of e-textbooks as important mediating tools for teaching and learning.
Design and Experimental Validation of a High-Efficiency Sequential Load Modulated Balanced Amplifier
Authors: Jin Dongxian , Latino Mariangela , Crupi Giovanni , Cai Jialin
Published: October 2024

The purpose of this paper is to present a detailed design procedure for a highly efficient sequential load-modulated balanced amplifier (SLMBA) to provide an in-depth analysis of this complex power amplifier (PA) architecture. SLMBA’s basic theory is presented and discussed. An SLMBA with a frequency range from 2.45 GHz to 2.65 GHz was implemented and then measured in order to validate the proposed design methodology. In both saturation and back-off states, the fabricated SLMBA exhibits extremely high efficiency and output power. It delivers a maximum output power of 43~44.4 dBm and a drain efficiency (DE) of 71.6~75% at saturation, a DE of 63.5~66% at 6 dB output back-off (OBO) state, a DE of 61.8~66% at 10 dB OBO state, and a DE of more than 51% at 12 dB OBO state in the targeted frequency band. The achieved results demonstrate the effectiveness of the proposed design procedure.
A Memristor-Based Circuit with the Loser-Take-All Mechanism for Classification
Authors: Han Gaoyong , Yang Qinfei , Xu Yuanpeng
Published: October 2024

Traditional multi-class classification circuits mostly use the mechanism of winner-take-all. In this paper, a memristor-based classification circuit with the loser-take-all mechanism is designed. The winner-take-all mechanism selects the most active neuron or signal while suppressing others, whereas the loser-take-all mechanism suppresses the most active and amplifies weaker signals. The goal of the loser-take-all mechanism is to determine which class an item does not belong to, rather than to determine which class the item belongs to. The loser-take-all mechanism can use relatively undemanding criteria to correctly classify the majority of categories that are misclassified by the winner-take-all mechanism. The designed circuit includes input modules, control modules and suppression modules which realize the multi-classification function based on the loser-take-all mechanism. The simulation results in Cadence show that the circuit can be used to realize complicated classification applications. The memristor-based classification circuit with the loser-take-all mechanism can capture the subtle nuances of various categories and provide a flexible approach to classification tasks.
Multimodal Dataset Construction and Validation for Driving-Related Anger: A Wearable Physiological Conduction and Vehicle Driving Data Approach
Authors: Sun Lichen , Yang Hongze , Li Bo
Published: October 2024

Anger impairs a driver’s control and risk assessment abilities, heightening traffic accident risks. Constructing a multimodal dataset during driving tasks is crucial for accurate anger recognition. This study developed a multimodal physiological -vehicle driving dataset (DPV-MFD) based on drivers’ self-reported anger during simulated driving tasks. In Experiment 1, responses from 624 participants to anger-inducing videos and driving scenarios were collected via questionnaires to select appropriate materials. In Experiments 2 and 3, multimodal dynamic data and self-reported SAM emotion ratings were collected during simulated and real-vehicle tasks, capturing physiological and vehicle responses in neutral and anger states. Spearman’s correlation coefficient analysis validated the DPV-MFD’s effectiveness and explored the relationships between multimodal data and emotional dimensions. The CNN-LSTM deep learning network was used to assess the emotion recognition performance of the DPV-MFD across different time windows, and its applicability in real-world driving scenarios was validated. Compared to using EEG data alone, integrating multimodal data significantly improved anger recognition accuracy, with accuracy and F1 scores rising by 4.49% and 9.14%, respectively. Additionally, real-vehicle data closely matched simulated data, confirming the dataset’s effectiveness for real-world applications. This research is pivotal for advancing emotion-aware human–machine- interaction and intelligent transportation systems.
Generative AI-Driven Data Augmentation for Crack Detection in Physical Structures
Authors: Kim Jinwook , Seon Joonho , Kim Soohyun , Sun Youngghyu , Lee Seongwoo , Kim Jeongho , Hwang Byungsun , Kim Jinyoung
Published: October 2024

The accurate segmentation of cracks in structural materials is crucial for assessing the safety and durability of infrastructure. Although conventional segmentation models based on deep learning techniques have shown impressive detection capabilities in these tasks, their performance can be restricted by small amounts of training data. Data augmentation techniques have been proposed to mitigate the data availability issue; however, these systems often have limitations in texture diversity, scalability over multiple physical structures, and the need for manual annotation. In this paper, a novel generative artificial intelligence (GAI)-driven data augmentation framework is proposed to overcome these limitations by integrating a projected generative adversarial network (ProjectedGAN) and a multi-crack texture transfer generative adversarial network (MCT2GAN). Additionally, a novel metric is proposed to evaluate the quality of the generated data. The proposed method is evaluated using three datasets: the bridge crack library (BCL), DeepCrack, and Volker. From the simulation results, it is confirmed that the segmentation performance can be improved by the proposed method in terms of intersection over union (IoU) and Dice scores across three datasets.
Estimation and Spatial Distribution of Individual Tree Aboveground Biomass in a Chinese Fir Plantation in the Dabieshan Mountains of Western Anhui, China
Authors: Chen Aimin , Zhao Peng , Li Yuanping , He Huaidong , Zhang Guangsheng , Li Taotao , Liu Yongjun , Wen Xiaoqin
Published: October 2024

Understanding aboveground biomass (AGB) and its spatial distribution is key to evaluating the productivity and carbon sink effect of forest ecosystems. In this study, a 123-year-old Chinese fir forest in the Dabieshan Mountains of western Anhui Province was used as the research subject. Using AGB data calculated from field measurements of individual Chinese fir trees (diameter at breast height [DBH] and height) and spectral vegetation indices derived from unmanned aerial vehicle (UAV) remote sensing images, a random forest regression model was developed to predict individual tree AGB. This model was then used to estimate the AGB of individual Chinese fir trees. Combined with digital elevation model (DEM) data, the effects of topographic factors on the spatial distribution of AGB were analyzed. We found that remote sensing spectral vegetation indices obtained by UAVs can be used to predict the AGB of individual Chinese fir trees, with the normalized difference vegetation index (NDVI) and the optimized soil-adjusted vegetation index (OSAVI) being two important predictors. The estimated AGB of individual Chinese fir trees was 339.34 Mg·ha−1 with a coefficient of variation of 23.21%. At the local scale, under the influence of elevation, slope, and aspect, the AGB of individual Chinese fir trees showed a distribution pattern of decreasing from the middle to the northwest and southeast along the northeast-southwest trend. The effect of elevation on AGB was influenced by slope and aspect; AGB on steep slopes was higher than on gentle slopes, and the impact of slope on AGB was influenced by aspect. Additionally, AGB on north-facing slopes was higher than on south-facing slopes. Our results suggest that local environmental factors such as elevation, slope, and aspect should be considered in future Chinese fir plantation management and carbon sink assessments in the Dabieshan Mountains of western Anhui, China.
The Antarctic Yeast Sporobolomyces roseus AL103 as a Promising Source of Health-Promoting Biologically Active Compounds
Authors: Rusinova-Videva Snezhana , Zaharieva Maya M. , Hristova Dilyana , Nachkova Stefka , Kambourova Margarita , Najdenski Hristo , Konstantinov Spiro
Published: October 2024

Antarctic yeasts represent a poorly explored source of novel bioactive compounds with antineoplastic activity and a favorable toxicological profile. The present paper presents the newest data on the antiproliferative and antimicrobial potential of extracts obtained from the psychrophilic strain AL103 of the species Sporobolomyces roseus. The capacity of AL103 to grow under different cultivation conditions, including in a bioreactor system with optimal biomass quantities of approximately 6.0 g/L, was demonstrated. A comparative examination of the metabolic profiles (GC-MS-based) of yeast extracts revealed a wide variety of synthesized molecules responsible for the different levels of antineoplastic activity depending on the tissue origin of the malignant cell lines. Concentration response curves were generated by the MTT dye reduction test. The respective IC50 values were extrapolated and found between 35.3 and 163 µg/mL. The antibacterial potential of both extracts was evaluated with the broth microdilution test against four referent pathogenic bacterial strains. The estimated minimal inhibitory concentrations revealed a moderate antibacterial activity. According to the GC-MS results, both extracts are rich in long-chain fatty acids which are known for their antibacterial properties. In conclusion, the Antarctic strain AL103 possesses promising potential for further pharmacological investigations aiming to elucidate its application as a health-promoting food additive or/and as a source of biologically active compounds.
Improvement in Taste Quality of Rice Porridge Using Konjac Glucomannan
Authors: Li Sixuan , Zhang Wenhui , Zhang Min , Guan Lina , Ye Guodong
Published: October 2024

Improving the taste quality of rice porridge in a scientific way is essential to guiding residential and commercial production. This study aimed to determine the impact of konjac glucomannan (KGM) on the taste quality of rice porridge. The obtained results showed that the optimal concentration of KGM added to rice porridge is 1%. This was primarily observed via the reduction in water absorption, swelling power, and iodine blue value, thus increasing the hardness of rice porridge. At the same time, KGM also reduced the free water content and improved the water-holding capacity of rice porridge. Nevertheless, the pasting properties showed that the high viscosity of KGM raised the pasting viscosity of rice flour, thereby enhancing the stickiness of rice porridge with the increase in the KGM concentration. In addition, KGM gave the rice porridge a stronger aroma. Sensory evaluations further confirmed significant improvements in the color, odor, palatability, and overall acceptability of KGM-supplemented rice porridge (p < 0.05). To summarize, adding an appropriate amount of KGM was beneficial in forming a richer flavor and improving the taste quality of rice porridge. The findings offer valuable insights into the scientific processing of rice porridge products.
Potential Application of Egg White Peptides for Antioxidant Properties: Perspectives from Batch Stability and Network Pharmacology
Authors: Lyu Siwen , Li Ting , Yang Qi , Liu Jingbo , Zhang Ting , Yu Ting
Published: October 2024

This study investigated the batch stability of egg white peptides (EWPs) during the enzymatic hydrolysis process, and confirmed the potential application of four crucial four peptides inoxidative damage repair. The results revealed that different batches of EWPs had good stability relating to antioxidant activity. With a similar sequence to confirmed antioxidant peptides, four EWPs (QMDDFE, WDDDPTD, DEPDPL, and FKDEDTQ) were identified withhigh repetition rates, and their potential to repair oxidative damage was investigated. Network pharmacology results showed that these four peptides could regulate the targets related to oxidative damage. Enrichment results demonstrated that these four peptides could influence the targets and pathways related to glutathione transferase activity (enrichment score: 148.0) and glutathione metabolism (p value: 9.22 × 10−10). This study could provide evidence for the batch stability of hydrolyzed prepared EWPs, and offer theoretical support for the development of antioxidant damage ingredients derived from foods.
Effect of Fruit and Vegetable Consumption on Human Health: An Update of the Literature
Authors: Devirgiliis Chiara , Guberti Emilia , Mistura Lorenza , Raffo Antonio
Published: October 2024

Several meta-analyses have consistently demonstrated that the consumption of an adequate level of fruit and vegetables (F&V), along with other food groups, is associated with a low risk of all-cause mortality, and, as such, represents one of the major modifiable risk factors related to the growing burden of Non-Communicable Diseases (NCDs). The aim of the present narrative review was to provide an up-to-date analysis of systematic reviews and meta-analyses published in the past five years, dealing with the effects of F&V consumption on human health, focusing on specific pathologies, such as total mortality, cancer, cardiovascular diseases (CVDs), type 2 diabetes, intestinal inflammation, and bone and respiratory illnesses. The results of our evaluation confirmed and consolidated the protective role of F&V consumption against the development of NCDs, especially CVDs. However, the need to corroborate existing evidence and clarify the role of confounding factors by performing additional randomized control trials and adopting more standardized approaches and study designs also emerged. Moreover, evaluating the protective role of fruit and vegetables as separate food categories appeared to be one of the most interesting areas to investigate in the near future. Overall, these outcomes could help in addressing future research to better establish a causal relationship between F&V consumption and human health.
The Influence of Solvent Choice on the Extraction of Bioactive Compounds from Asteraceae: A Comparative Review
Authors: Lee Ji-Eun , Jayakody Jayakodyge , Kim Jae-Il , Jeong Jin-Woo , Choi Kyung-Min , Kim Tae-Su , Seo Chan , Azimi Iman , Hyun Jimin , Ryu Bomi
Published: October 2024

While the potential of Asteraceae plants as herbal remedies has been globally recognized, their widespread application in the food, cosmetic, and pharmaceutical industries requires a deeper understanding of how extraction methods influence bioactive compound yields and functionalities. Previous research has primarily focused on the physiological activities or chemical compositions of individual Asteraceae species, often overlooking the critical role of solvent selection in optimizing extraction. Additionally, the remarkable physiological activities observed in these plants have spurred a growing number of clinical trials, aiming to validate their efficacy and safety for potential therapeutic and commercial applications. This work aims to bridge these knowledge gaps by providing an integrated analysis of extraction techniques, the diverse range of bioactive compounds present in Asteraceae, and the influence of solvent choice on isolating these valuable substances. By elucidating the interplay between extraction methods, solvent properties, and bioactivity, we underscore the promising potential of Asteraceae plants and highlight the importance of continued research, including clinical trials, to fully unlock their potential in the food, cosmetic, and pharmaceutical sectors.
Probing Magnetic Fields in Young Supernova Remnants with IXPE
Authors: Slane Patrick , Ferrazzoli Riccardo , Zhou Ping , Vink Jacco
Published: October 2024

Synchrotron emission from the shocked regions in supernova remnants provides, through its polarization, crucial details about the magnetic field strength and orientation in these regions. This, in turn, provides information on particle acceleration in these shocks. Due to the rapid losses of the highest-energy relativistic electrons, X-ray polarization measurements allow for investigations of the magnetic field to be carried outvery close to the sites of particle acceleration. Measurements of both the geometry of the field and the levels of turbulence implied by the observed polarization degree thus provide unique insights into the conditions leading to efficient particle acceleration in fast shocks. The Imaging X-ray Polarimetry Explorer (IXPE) has carried out observations of multiple young SNRs, including Cas A, Tycho, SN 1006, and RX J1713.7−3946. In each, significant X-ray polarization detections provide measurements of magnetic field properties that show some common behavior but also considerable differences between these SNRs. Here, we provide a summary of results from IXPE studies of young SNRs, providing comparisons between the observed polarization and the physical properties of the remnants and their environments.