bluuebunny/crossref_metadata_2025 huggingface dataset:
Vertical Accelerations and Convection Initiation in an Extreme Precipitation Event in the Western Arid Areas of Southern Xinjiang
Authors: Li Na , Ran Lingkun , Yang Daoyong , Jiao Baofeng , Yang Cha , Hu Wenhao , Sun Qilong , Tang Peng
Published: November 2024

A simulation of an extreme precipitation event in southern Xinjiang, which is the driest area in China, seizes the whole initiation process of the intense convective cell responsible for the high hourly rainfall amount. Considering the inner connection between convection and vertical motions, the characteristics and mechanisms of the vertical accelerations during this initial development of the deep convection are studied. It is shown that three key accelerations are responsible for the development from the nascent cumuli to a precipitating deep cumulonimbus, including sub-cloud boundary-layer acceleration, in-cloud deceleration, and cloud-top acceleration. By analyzing the right-hand terms of the vertical velocity equation in the framework of the WRF model, together with a diagnosed relation of perturbation pressure to perturbation potential temperature, perturbation-specific volume (or density), and moisture, the physical processes associated with the corresponding accelerations are revealed. It is found that sub-cloud acceleration is associated with three-dimensional divergence, indicating that the amount of upward transported air must be larger than that of horizontally convergent air. This is favorable for the persistent accumulation of water vapor into the accelerated area. In-cloud deceleration is caused by the intrusion or entrainment of mid-level cold air, which cools down the developing cloud and delays the deep convection formation. Cloud-top acceleration is responsible for the rapid upward extension of the cloud top, which is highly correlated with the convergence and upward transport of moisture.
Harnessing Deep Learning and Snow Cover Data for Enhanced Runoff Prediction in Snow-Dominated Watersheds
Authors: Adnan Rana Muhammad , Mo Wang , Kisi Ozgur , Heddam Salim , Al-Janabi Ahmed Mohammed Sami , Zounemat-Kermani Mohammad
Published: November 2024

Predicting streamflow is essential for managing water resources, especially in basins and watersheds where snowmelt plays a major role in river discharge. This study evaluates the advanced deep learning models for accurate monthly and peak streamflow forecasting in the Gilgit River Basin. The models utilized were LSTM, BiLSTM, GRU, CNN, and their hybrid combinations (CNN-LSTM, CNN-BiLSTM, CNN-GRU, and CNN-BiGRU). Our research measured the model’s accuracy through root mean square error (RMSE), mean absolute error (MAE), Nash–Sutcliffe efficiency (NSE), and the coefficient of determination (R2). The findings indicated that the hybrid models, especially CNN-BiGRU and CNN-BiLSTM, achieved much better performance than traditional models like LSTM and GRU. For instance, CNN-BiGRU achieved the lowest RMSE (71.6 in training and 95.7 in testing) and the highest R2 (0.962 in training and 0.929 in testing). A novel aspect of this research was the integration of MODIS-derived snow-covered area (SCA) data, which enhanced model accuracy substantially. When SCA data were included, the CNN-BiLSTM model’s RMSE improved from 83.6 to 71.6 during training and from 108.6 to 95.7 during testing. In peak streamflow prediction, CNN-BiGRU outperformed other models with the lowest absolute error (108.4), followed by CNN-BiLSTM (144.1). This study’s results reinforce the notion that combining CNN’s spatial feature extraction capabilities with the temporal dependencies captured by LSTM or GRU significantly enhances model accuracy. The demonstrated improvements in prediction accuracy, especially for extreme events, highlight the potential for these models to support more informed decision-making in flood risk management and water allocation.
Characterization and Concentration Prediction of Dust Pollution in Open-Pit Coal Mines
Authors: Wang Guilin , Zhou Wei , Wang Zhiming , Lu Xiang , Zhang Yirong
Published: November 2024

Dust pollution is a major problem formed caused by opencast coal mining, and its prevention is a key prerequisite for the realization of green and climate-friendly mining in open-pit coal mines. In this paper, we conducted the real-time monitoring of dust concentration and meteorological parameter data in different areas of a large-scale open-pit coal mine in China and used multivariate statistical analysis to study the characteristics of the variation in dust concentration and its influencing factors in operating and non-operating areas. The results showed that there was a significant correlation between TSP, PM10, and PM2.5 in the same area. There was a significant difference in the percentage of PM2.5/PM10 between the operation area and the non-operation area, with particles in the range of 2.5–10 μm dominating close to the operation area and particles in the range of 0–2.5 μm dominating away from the operation area. The production intensity had a greater effect on dust concentration in the operation area, and there was no significant relationship with dust concentration away from the operation area. Wind speed—wind force—wind direction, temperature, and humidity are all correlated with particulate matter. The LSTM model is more suitable for predicting the dust concentration in open-pit coal mines. The results of this study can provide a reference for dust prevention and control in open-pit coal mines.
The Extension of Noncommutative Modified KP Hierarchy and Its Quasideterminant Solutions
Authors: Wu Hongxia , Li Chunxia , Wang Haifeng
Published: November 2024

The extended noncommutative modified KP (exncmKP) hierarchy is firstly constructed, which gives rise to two types of the ncmKP equation with self-consistent sources (ncmKPESCSs). Then, the noncommutative (NC) Miura transformation between the extended noncommutative KP (exncKP) hierarchy and the exncmKP hierarchy is presented, and the quasideterminant solutions of the exncmKP hierarchy are also given. As its byproduct, the quasideterminant solutions of two types of ncmKPESCSs are obtained. The matrix solutions of two types of ncmKPESCSs are finally investigated, and the impact of the source terms on the NC soliton is analyzed.
The Effect of Rooibos Tea (Aspalathus linearis) Consumption on Human Health Outcomes: A Systematic Literature Review
Authors: Speer Kathryn E. , Marnewick Jeanine L. , Davies Simeon E. H. , Turner Murray , Nikolova Viktoriya L. , Day Richard , McKune Andrew J. , Naumovski Nenad
Published: November 2024

Rooibos tea, traditionally consumed by Indigenous populations, is naturally caffeine-free and contains unique polyphenols with strong antioxidant, anti-inflammatory and anti-hyperglycaemic properties. As such, a systematic review was conducted following PRISMA 2020 guidelines (PROSPERO ID: CRD42023467829) to evaluate the potential association between rooibos tea consumption and health outcomes. Relevant articles were searched from journal inception until October 2024 using five electronic databases (CINAHL, MEDLINE, Scopus, Web of Science Core Collection and Google Scholar) and one register (Cochrane Clinical Register of Controlled Trials). Included studies involved consumption of any rooibos tea beverage or supplement in humans 18 years or older and reported any health outcomes measured pre- and post-intervention. Following article screening and full text review, eight studies (175 participants) fulfilled the inclusion criteria and investigated the effects of rooibos consumption on biological [blood (n = 6); urine (n = 1)] and physiological [heart metrics (n = 2); muscle strength (n = 1)] health markers. Based on the included studies, the findings suggest benefits of rooibos consumption, particularly related to cardiometabolic health, with five studies supporting significant (p < 0.05) results. However, there is insufficient evidence to support the health benefits of rooibos consumption given the limited studies meeting inclusion criteria, the narrow scope of markers assessed and interstudy heterogeneity.
A Dual-Branch Residual Network with Attention Mechanisms for Enhanced Classification of Vaginal Lesions in Colposcopic Images
Authors: Yang Haima , Song Yeye , Li Yuling , Hong Zubei , Liu Jin , Li Jun , Zhang Dawei , Fu Le , Lu Jinyu , Qiu Lihua
Published: November 2024

Vaginal intraepithelial neoplasia (VAIN), linked to HPV infection, is a condition that is often overlooked during colposcopy, especially in the vaginal vault area, as clinicians tend to focus more on cervical lesions. This oversight can lead to missed or delayed diagnosis and treatment for patients with VAIN. Timely and accurate classification of VAIN plays a crucial role in the evaluation of vaginal lesions and the formulation of effective diagnostic approaches. The challenge is the high similarity between different classes and the low variability in the same class in colposcopic images, which can affect the accuracy, precision, and recall rates, depending on the image quality and the clinician’s experience. In this study, a dual-branch lesion-aware residual network (DLRNet), designed for small medical sample sizes, is introduced, which classifies vaginal lesions by examining the relationship between cervical and vaginal lesions. The DLRNet model includes four main components: a lesion localization module, a dual-branch classification module, an attention-guidance module, and a pretrained network module. The dual-branch classification module combines the original images with segmentation maps obtained from the lesion localization module using a pretrained ResNet network to fine-tune parameters at different levels, explore lesion-specific features from both global and local perspectives, and facilitate layered interactions. The feature guidance module focuses the local branch network on vaginal-specific features by using spatial and channel attention mechanisms. The final integration involves a shared feature extraction module and independent fully connected layers, which represent and merge the dual-branch inputs. The weighted fusion method effectively integrates multiple inputs, enhancing the discriminative and generalization capabilities of the model. Classification experiments on 1142 collected colposcopic images demonstrate that this method raises the existing classification levels, achieving the classification of VAIN into three lesion grades, thus providing a valuable tool for the early screening of vaginal diseases.
Circadian Regulation in Diurnal Mammals: Neural Mechanisms and Implications in Translational Research
Authors: Jiang Yirun , Shi Jiaming , Tai Jun , Yan Lily
Published: November 2024

Diurnal and nocturnal mammals have evolved unique behavioral and physiological adaptations to optimize survival for their day- or night-active lifestyle. The mechanisms underlying the opposite activity patterns are not fully understood but likely involve the interplay between the circadian time-keeping system and various arousal- or sleep-promoting factors, e.g., light or melatonin. Although the circadian systems between the two chronotypes share considerable similarities, the phase relationships between the principal and subordinate oscillators are chronotype-specific. While light promotes arousal and wakefulness in diurnal species like us, it induces sleep in nocturnal ones. Similarly, melatonin, the hormone of darkness, is commonly used as a hypnotic in humans but is secreted in the active phase of nocturnal animals. Thus, the difference between the two chronotypes is more complex than a simple reversal, as the physiological and neurological processes in diurnal mammals during the day are not equivalent to that of nocturnal ones at night. Such chronotype differences could present a significant translational gap when applying research findings obtained from nocturnal rodents to diurnal humans. The potential advantages of diurnal models are being discussed in a few sleep-related conditions including familial natural short sleep (FNSS), obstructive sleep apnea (OSA), and Smith–Magenis syndrome (SMS). Considering the difference in chronotype, a diurnal model will be more adequate for revealing the physiology and physiopathology pertaining to human health and disease, especially in conditions in which circadian rhythm disruption, altered photic response, or melatonin secretion is involved. We hope the recent advances in gene editing in diurnal rodents will promote greater utility of the diurnal models in basic and translational research.
Synthesis of Palladium Nanowires on Flagella Template for Electrochemical Biosensor Detection of microRNA-21
Authors: Yang Kuo , Wang Jueyu , Zhang Ying , Cui Daizong , Zhao Min
Published: November 2024

In recent years, the use of bacterial flagella as biomimetic templates has gained increasing attention in nanomaterial synthesis due to their unique structural and functional properties. In this study, we optimized the flagella extraction method and achieved a high concentration of flagella solution. Flagella were isolated from Escherichia coli. Surface characterization revealed that the flagella had abundant functional groups, such as amino and carboxyl groups, which can serve as nucleation sites for the controlled nucleation and growth of metal nanomaterials. Using bacterial flagella as a template, we synthesized one-dimensional palladium nanowires (Fla-Pd NWs). The results of morphological and phase analyses showed that the synthesized palladium nanoparticles were uniformly and densely distributed on the surface of the flagella. Moreover, the Fla-Pd nanowires exhibited superior electrocatalytic activity, which was applied to develop an electrochemical biosensor. This biosensor was used to detect the early breast cancer biomarker microRNA-21 and exhibited a linear range of 0.66–1.98 µmol/L and a detection limit of 0.78 µmol/L. The method demonstrated high selectivity and reusability, making it a promising strategy for early cancer diagnosis.
Genome-Wide Association Study and Genomic Prediction of Soft Wheat End-Use Quality Traits Under Post-Anthesis Heat-Stressed Conditions
Authors: Shahi Dipendra , Guo Jia , Pradhan Sumit , Avci Muhsin , Bai Guihua , Khan Jahangir , Baik Byung-Kee , Mergoum Mohamed , Babar Md Ali
Published: November 2024

Wheat end-use quality is an important component of a wheat breeding program. Heat stress during grain filling impacts wheat quality traits, making it crucial to understand the genetic basis of wheat quality traits under post-anthesis heat stress. This study aimed to identify the genomic regions associated with wheat quality traits using genome-wide association studies (GWASs) and evaluate the prediction accuracy of different genomic selection (GS) models. A panel of 236 soft red facultative wheat genotypes was evaluated for end-use quality traits across four heat-stressed environments over three years. Significant phenotypic variation was observed across environments for traits such as grain yield (GY), grain protein (GP), grain hardness (GH), and flour yield (AFY). Heritability estimates ranged from 0.52 (GY) to 0.91 (GH). The GWASs revealed 136 significant marker–trait associations (MTAs) across all 21 chromosomes, with several MTAs located within candidate genes involved in stress responses and quality traits. Genomic selection models showed prediction accuracy values up to 0.60, with within-environment prediction outperforming across-environment prediction. These results suggest that integrating GWAS and GS approaches can enhance the selection of wheat quality traits under heat stress, contributing to the development of heat-tolerant varieties.
Involvement of Metalloproteases in the Fertilization of the Ascidian Halocynthia roretzi
Authors: Sawada Hitoshi , Hattori Ikuya , Hashii Noritaka , Saito Takako
Published: November 2024

We previously reported that five astacin-like metalloproteases with thrombospondin type-1 repeats (Tasts) located on the sperm surface are a promising candidate as the protease involved in sperm penetration of the vitelline coat (VC) during fertilization of the ascidian Ciona intestinalis type A (Phlebobranchia). However, whether such a protease is involved in the fertilization of other ascidians is unknown. Here, we investigated the effects of four metalloprotease inhibitors on the fertilization of the ascidian Halocynthia roretzi (Stolidobranchia). Three metalloprotease inhibitors, GM6001, TAPI-0, and TAPI-1, strongly inhibited fertilization at 33 and 11 μM, whereas TAPI-2 weakly inhibited fertilization at 33 μM. In contrast, GM6001NC (negative control) had no effect on fertilization at 100 μM. Furthermore, GM6001 had no inhibitory effect on the fertilization of VC-deprived eggs. The metalloprotease appears to function at the middle or late stage of fertilization. Ten Tast genes were identified in the H. roretzi genome database, among which four genes (HrTast1, HrTast2b, HrTast2c, and HrTast3c) possessed a single transmembrane domain in the N-terminal region. These four genes are transcribed in the testis and ovary, as revealed by RT-PCR. Anti-HrTast2c IgG raised against a peptide corresponding to the Zn-binding consensus sequence weakly inhibited fertilization at 0.5 mg/mL. These results led us to propose that sperm astacin-like metalloproteases may be involved in sperm penetration of the VC during H. roretzi fertilization.
Identification of Marine Compounds Inhibiting NF-κBInducing Kinase Through Molecular Docking and Molecular Dynamics Simulations
Authors: Yasir Muhammad , Park Jinyoung , Han Eun-Taek , Han Jin-Hee , Park Won Sun , Choe Jongseon , Chun Wanjoo
Published: November 2024

NF-κB-inducing kinase (NIK) plays a pivotal role in regulating both the canonical and non-canonical NF-κB signaling pathways, driving the expression of proteins involved in inflammation, immune responses, and cell survival. Overactivation of NIK is linked to various pathological conditions, including chronic inflammation, autoimmune diseases, metabolic disorders, and cancer progression. As such, NIK represents a compelling target for therapeutic intervention in these diseases. In this study, we explored the inhibitory potential of marine-derived compounds against NIK using integrated computational techniques, including molecular docking, molecular dynamics (MD) simulations, and free energy calculations. By screening a library of bioactive marine compounds, we identified several promising candidates with strong binding affinity to the NIK active site. By continuously narrowing down the library at each step, we found that the compounds santacruzamate A, xanthosine, and actinonine stand out at each step by demonstrating compact binding, highly stable interactions, and the most favorable free energy profiles, indicating their potential as effective NIK inhibitors. These findings not only advance our understanding of marine compounds as valuable resources for drug discovery but also highlight their potential for the development of natural anti-inflammatory therapies targeting NIK. This study opens new avenues for future research and therapeutic development aimed at combating inflammation and cancer through NIK inhibition.
Clinical and Genetic Characterization of Adolescent-Onset Epilepsy: A Single-Center Experience in Republic of Korea
Authors: Han Ji Yoon , Kim Tae Yun , Park Joonhong
Published: November 2024

Objectives: This study investigated the characteristics of adolescent-onset epilepsy (AOE) and conducted genetic tests on a cohort of 76 Korean patients to identify variants and expand the spectrum of mutations associated with AOE. Methods: Clinical exome sequencing after routine karyotyping and chromosomal microarray was performed to identify causative variants and expand the spectrum of mutations associated with AOE. Results: In cases of AOE without neurodevelopmental delay (NDD), this study identified four likely pathogenic variants (LPVs) or variants of uncertain significance (VUS) and two copy number variations (CNVs). To explore the unique features of AOE; clinical manifestations were compared between patients with and without NDD. The analysis revealed statistically significant differences in the prevalence of males and the yield of genetic testing results. AOE without NDD had a lower prevalence in males (49%) compared to AOE with NDD (60%) (p = 0.007). Genetic alterations: AOE with NDD exhibited a higher frequency of genetic alterations (35%) compared to AOE without NDD (12%) (p = 0.011). Thorough evaluation of AOE can be particularly challenging in adolescent patients. Some individuals may display genetic variations due to a phenomenon known as locus heterogeneity, where different genetic causes lead to similar clinical presentations. Conclusions: Implementing a robust genetic workflow is crucial for accurately diagnosing AOE, even in cases with complex genetic underpinnings. This study underscores the importance of genetic testing as an essential diagnostic tool for AOE. Identifying genetic variants and understanding their clinical correlations can aid in improving diagnostic accuracy and optimizing treatment approaches for adolescent patients with epilepsy.
RELT Is Upregulated in Breast Cancer and Induces Death in Breast Cancer Cells
Authors: Batiste Maryann , Joy Bethany , Yee Cara K. , Cho Luke , Christensen Ashley , Abed Ihab , Nguyen Kailey , Yanumula Anusri , Chang Hannah , Cho Evan D. , Wang Wenjia , Chou Emily , Chang Esther H. , Shyu Yennie L. , Abram Alyssa , Alcaide Jessa , Zhou James , Gillespie Brittany , Senderovich Michelle , Cusick Gianne Almeida , Le Ai-Vy , Hoang Frank , Shi Yihui , Mohamed Eslam , Cusick John K.
Published: November 2024

Background: Receptor Expressed in Lymphoid Tissues (RELT) is a TNFRSF member that has two paralogs, RELL1 and RELL2; the three proteins are collectively referred to as RELT family members (RELTfms). Methods: We sought to evaluate RELT expression in cancerous cells by using real-time PCR, western blotting, flow cytometry, and immunohistochemistry (IHC). The mechanism of RELT-induced cell death was assessed by western blotting, flow cytometry, luciferase assays, and morphology staining. RELT localization was detected through immunofluorescence and western blotting, and co-immunoprecipitation was used to test whether a mutated RELT interacts with the OXSR1 kinase. Results: RELT and RELL1 protein expression was significantly elevated in cell lines representing breast and lung cancer, whereas RELL2 protein expression was relatively consistent across different cell lines. The surface expression of RELT was highest in monocytes. IHC staining revealed increased RELT expression in malignant breast cancer biopsies compared to patient-matched benign tissue. RELTfm overexpression induced death in MDA-MB-231 (231) breast cancer cells, accompanied by increased phosphatidylserine externalization and Caspase-3/7 activation. The co-transfection of plasmids predicted to block the phosphorylation of RELT by the OXSR1 kinase did not abrogate RELT-induced apoptosis, indicating that the activation of p38 by RELT through the OXSR1 kinase is not required for RELT-induced cell death. Interestingly, nuclear localization of RELT was detected in 231 and HEK-293 cells. Conclusions: These results demonstrate that RELT induces death in breast cancer cells through an apoptotic pathway that does not require OXSR1 phosphorylation and that RELT possesses the ability to translocate to the nucleus, a novel finding that warrants further investigation.
Evaluating the Effectiveness of Ultrasound-Guided Subacromial-Subdeltoid Bursa and Coracohumeral Ligament Corticosteroid Injections With and Without Physiotherapy in Adhesive Capsulitis Treatment
Authors: Tang Chu-Wen , Lin Ting-Yu , Shen Peng-Chieh , Tang Fuk-Tan
Published: November 2024

Background: The objective of this study was to investigate the effect of ultrasound-guided corticosteroid injection to the subacromial-subdeltoid bursa (SSB) and coracohumeral ligament (CHL) in treating adhesive capsulitis, with a particular focus on evaluating the potential benefits of regular electrotherapy and conventional rehabilitation exercises. Methods: A total of 29 patients with unilateral shoulder pain and restricted shoulder range of motion (ROM) were included. Corticosteroids were delivered to the subacromial-subdeltoid bursa (SSB) and coracohumeral ligament (CHL) through a single percutaneous injection. Group 1 consisted of 18 patients who received injections only, while Group 2 comprised 11 patients who received injections in combination with regular physiotherapy. Shoulder Pain and Disability Index (SPADI) scores and ROM were assessed before the injection, and again at 4, 8, and 12 weeks following the intervention. A multivariate mixed-effects model with repeated measurements was conducted for the variables. Results: Electrotherapy and traditional rehabilitation exercises did not enhance the effectiveness of this injection approach. Pain, upper extremity function, and ROM in all planes were all significantly improved with a corticosteroid injection to the CHL and SSB. Conclusions: Physiotherapy did not offer additional benefits when combined with ultrasound-guided corticosteroid injection to the CHL and SSB. The injection alone significantly improved pain, disability, and ROM in patients with adhesive capsulitis. Further research is required to optimize current physiotherapy with electrotherapy and traditional rehabilitation exercises after ultrasound-guided corticosteroid injections.
Age-Related Choroidal Involution Is Associated with the Senescence of Endothelial Progenitor Cells in the Choroid
Authors: Nazari Ali Riza , Gresseau Loraine , Habelrih Tiffany , Zia Aliabbas , Lahaie Isabelle , Er-Reguyeg Yosra , Coté France , Annabi Borhane , Rivard Alain , Chemtob Sylvain , Desjarlais Michel
Published: November 2024

Background: Choroidal involution is a common feature of age-related ischemic retinopathies such as age-related macular degeneration (AMD). It is now well recognized that endothelial progenitor cells (EPCs) are essential to endothelial repair processes and in maintaining vascular integrity. However, the contribution of EPCs and the role of senescence in age-related choroidal vascular degeneration remain to be investigated. In this study, we compared the senescent phenotype of EPCs in the choroid and performed whole-genome profiling of EPCs derived from young versus old rats. Methods and Results: We isolated and compared the retinas of young (6-weeks-old) and old (16–18-month-old) rats. The thickness of the choroid and outer nuclear layer (ONL), along with local quantification of CD34+ EPCs, was performed. Compared to young rats, older rats displayed a significant reduction in choroidal and ONL thickness associated with markedly fewer choroid-localized EPCs; this was attested by lower expression of several EPC markers (CXCR4, CD34, CD117, CD133, and KLF-2). Choroid and choroid-localized EPCs displayed abundant senescence as revealed by increased β-gal and P53 expression and decreased Lamin-B1 (immunostaining and RT-qPCR). Concordantly, choroidal cells and EPCs isolated from older rats were unable to form vascular networks ex vivo. To better understand the potential mechanisms associated with the dysfunctional EPCs linked to age-related choroidal involution, we performed whole-genome profiling (mRNA and miRNA) of EPCs derived from old and young rats using next-generation sequencing (NGS); 802 genes were significantly modulated in old vs. young EPCs, corresponding to ~2% of total genes expressed. Using a bioinformatic algorithm, the KEGG pathways suggested that these genes participate in the modulation of several key signaling processes including inflammation, G protein-coupled receptors, and hematopoietic cell lineages. Moreover, we identified 13 miRNAs involved in the regulation of immune system processes, cell cycle arrest and senescence, which are significantly modulated in EPCs from old rats compared to young ones. Conclusions: Our results suggest that age-related choroidal involution is associated with fewer EPCs, albeit displaying a senescence-like phenotype. One would be tempted to propose that biological modification of native EPCs (such as with senolytic agents) could potentially provide a new strategy to preserve the vascular integrity of the aged choroid, and evade progression to degenerative maculopathies.
Optimization of Paper-Based Alveolar-Mimicking SERS Sensor for High-Sensitivity Detection of Antifungal Agent
Authors: Park Hyunjun , Chai Kyunghwan , Park Eugene , Kim Woochang , Kim Gayoung , Park Joohyung , Lee Wonseok , Park Jinsung
Published: November 2024

Crystal violet (CV) is a disinfectant and antifungal agent used in aquaculture that plays a vital role in treating aquatic diseases and sterilizing water. However, its potential for strong toxicity, including carcinogenicity and mutagenicity, upon accumulation in the body raises concerns regarding its safe use. Therefore, there is a growing need for the quantitative detection of CV in its early application stages to ensure human safety. Recently, Raman spectroscopy-based surface-enhanced Raman scattering (SERS) detection research has been actively conducted; consequently, an alveolar-mimicking SERS paper (AMSP) inspired by the structure of the human lungs was developed. The AMSP was optimized through various factors, including paper type, reducing agent, reducing agent concentration, and reaction time. This optimization enhanced the surface area of interaction with the target substances and promoted hotspot formation, resulting in enhanced SERS performance. The substrate exhibited exceptional uniformity, reproducibility, and reliability. CV was successfully detected at a concentration of 1 nM in laboratory settings. Furthermore, the AMSP detected CV at 1 nM in real-world environmental samples, including fish farm water and human serum, confirming its potential as a practical detection and monitoring platform for CV in real-world samples.
Emotion Recognition Based on a EEG–fNIRS Hybrid Brain Network in the Source Space
Authors: Hou Mingxing , Zhang Xueying , Chen Guijun , Huang Lixia , Sun Ying
Published: November 2024

Background/Objectives: Studies have shown that emotion recognition based on electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) multimodal physiological signals exhibits superior performance compared to that of unimodal approaches. Nonetheless, there remains a paucity of in-depth investigations analyzing the inherent relationship between EEG and fNIRS and constructing brain networks to improve the performance of emotion recognition. Methods: In this study, we introduce an innovative method to construct hybrid brain networks in the source space based on simultaneous EEG-fNIRS signals for emotion recognition. Specifically, we perform source localization on EEG signals to derive the EEG source signals. Subsequently, causal brain networks are established in the source space by analyzing the Granger causality between the EEG source signals, while coupled brain networks in the source space are formed by assessing the coupling strength between the EEG source signals and the fNIRS signals. The resultant causal brain networks and coupled brain networks are integrated to create hybrid brain networks in the source space, which serve as features for emotion recognition. Results: The effectiveness of our proposed method is validated on multiple emotion datasets. The experimental results indicate that the recognition performance of our approach significantly surpasses that of the baseline method. Conclusions: This work offers a novel perspective on the fusion of EEG and fNIRS signals in an emotion-evoked experimental paradigm and provides a feasible solution for enhancing emotion recognition performance.
Relevant Factors in the Schooling of Children with Autism Spectrum Disorder in Early Childhood Education
Authors: Villegas Lirola Francisco , Codina Sánchez Antonio
Published: November 2024

Background: Educational professionals face significant challenges in determining the most appropriate educational placement for each child with ASD, which is a major concern for their parents. The purpose of this paper is to identify the factors in the development of students with ASD (language development, cognitive development, and socio-emotional development) that are most relevant in determining the modalities of schooling in early childhood education. Methods: A total of 381 Psychopedagogical Evaluation Reports from students with ASD aged 3 to 5 years were reviewed. The importance of each variable was identified using artificial neural network analysis. Classification trees were used to determine their distribution in the two schooling modalities. Results: A total of 42.9% of boys aged 3–5 years with ASD and 54.12% of girls aged 3–5 years with ASD were enrolled in specific modalities. Conclusions: Cognitive development and comprehensive language were the two variables that best explained whether children with ASD were educated in specific or ordinary modalities. The presence of a significantly impaired level of cognitive development was the best predictor of schooling in specific modalities, and for the rest of the cognitive levels, the greater the difficulties in comprehensive language, the greater the likelihood of schooling in specific modalities.
Real-World Open-Label Experience with Rimegepant for the Acute Treatment of Migraine Attacks: A Multicenter Pilot Study
Authors: Dermitzakis Emmanouil V. , Rikos Dimitrios , Vikelis Michail , Xiromerisiou Georgia , Zisopoulou Styliani , Rallis Dimitrios , Soldatos Panagiotis , Vlachos George S. , Vasiliadis Georgios G. , Argyriou Andreas A.
Published: November 2024

Objectives: The present open-label multicenter pilot study sought to prospectively evaluate the efficacy and safety of rimegepant in treating migraine attacks. Methods: The primary endpoint was pain freedom at two hours post-dose, while the co-primary efficacy endpoints included a reduction in the headache intensity and freedom from the most bothersome symptoms (MBS) associated with migraine at the same time point. To test the potential efficacy of rimegepant, patients were asked to record in a questionnaire all the relevant changes with each migraine attack treated with rimegepant at two hours post-dose vs. two hours before. The attending neurologists provided information on the basic demographics, medical anamnesis, and migraine history as well as the triptan use history. Results: A total of 54 patients (32 with episodic and 22 with chronic migraine) received rimegepant 75 mg at least once during a single migraine attack (overall, 140 dosage intakes). Pain freedom at 2 h was achieved in 45/140 (32.1%) intakes. Regarding the efficacy of the first rimegepant dose (n = 54), significant reductions in the headache intensity were observed between the pre- and 2 h post-treatment average VAS scores (−4.8 ± 2.8 mean; p < 0.001). Likewise, the same mean reductions in the average VAS scores occurred when the 2 h response to all 140 doses was analyzed (−5 ± 2.8; p < 0.001). Freedom from MBS at 2 h post-dose was achieved for photophobia in 43%, for phonophobia in 53%, and for nausea in 57%. The ability to fully return to everyday activities at 2 h post-dose was achieved in 83/140 instances (59%). We only recorded mild adverse events in 24/140 dosages. Conclusions: Our preliminary results demonstrate that rimegepant is effective, safe, and well tolerated in treating acute migraine attacks.
Simulation Study on the Effects of Relative Humidity (RH) on Long-Wave Radiative Heat Gain in Residential Buildings
Authors: Chen Jie , Xue Fei , Jin Xiaoxue , Lau Stephen Siu Yu , Fan Yue
Published: November 2024

Long-wave radiation cooling plays a pivotal role in building thermal design. Utilizing a steady-state method to determine surface heat transfer coefficients across diverse climates can result in discrepancies between the designed and actual cooling performance of a building’s envelope. To evaluate the influence of climate and surface emissivity on building heat transfer during summer, the numerical simulation method was employed to calculate the summer long-wave radiation for nine typical residential buildings across various climate regions. This study assesses the applicable meteorological conditions and distribution range of sky radiation technology. The findings indicate that buildings can effectively dissipate heat through sky radiation when the outdoor relative humidity is below 60% and the summer temperature difference exceeds 12 °C. Analysis of meteorological characteristics across different zones reveals a positive correlation between temperature deviations and sky radiative cooling potential, thereby identifying suitable climate zones for the implementation of sky radiative cooling technology.
Assessing the Application Effects and Operating Conditions on Three Different Insulation Capacity Walls Using Internal Quantitative Infrared Thermography in China
Authors: Li Huanyu , Feng Guohui , Pu Yi , Wang Han
Published: November 2024

Quantitative infrared thermography (QIRT) has emerged as a prominent topic within the field of thermal performance testing of building enclosures. The majority of the previous research has been conducted in Europe and North America, with limited research activity in Asia. Against the backdrop of China’s carbon emission reduction goals, quantitative infrared thermography offers a promising avenue for advancing building energy efficiency testing. This study conducted QIRT testing on three buildings with different insulation capabilities (old buildings, conventional insulated buildings, nearly zero-energy buildings) in Shenyang, China. The objective was to assess the efficacy of the internal QIRT method for walls with varying insulation capabilities and to ascertain the requisite testing environment parameters in the context of China’s climatic conditions and building regulations. The heat flow meter method was employed to verify its accuracy. Furthermore, correlation analysis was conducted on various testing parameters across different building cases and temperature-difference ranges. The results indicate that walls with different insulation capabilities require corresponding indoor–outdoor temperature differentials to establish a stable heat flow environment. For uninsulated buildings, a temperature difference of 10 °C between indoor and outdoor environments is sufficient to meet testing requirements, with a testing error of only 2.28%. For conventionally insulated buildings, a temperature difference greater than 20 °C reduces the relative error to below 10%. For nearly zero-energy buildings, it is recommended to maintain a temperature difference of 25 °C or higher to achieve optimal testing results. Once a stable thermal flow environment has been achieved, the variation in the instantaneous heat transfer coefficient maintains a high correlation with the temperatures recorded at various measurement points. For buildings with high insulation performance, high temperature-difference environments pose higher demands on the testing procedures and data collection using the QIRT method. During the testing process, it is essential to monitor changes in outdoor air temperature, enhance the accuracy of infrared thermography, and avoid interference from indoor radiation sources.
Comment on Dorobisz et al. Assessment of Prognostic Factors, Clinical Features Including the Microbiome, and Treatment Outcomes in Patients with Cancer of Unknown Primary Site. Cancers 2024, 16, 3416
Authors: Itagaki Tatsuki , Kasai Machiko , Sakata Ken-ichiro , Hasebe Akira
Published: November 2024

Dorobisz et al [...]
Enhancing Cancerous Gene Selection and Classification for High-Dimensional Microarray Data Using a Novel Hybrid Filter and Differential Evolutionary Feature Selection
Authors: Hashmi Arshad , Ali Waleed , Abulfaraj Anas , Binzagr Faisal , Alkayal Entisar
Published: November 2024

Background: In recent years, microarray datasets have been used to store information about human genes and methods used to express the genes in order to successfully diagnose cancer disease in the early stages. However, most of the microarray datasets typically contain thousands of redundant, irrelevant, and noisy genes, which raises a great challenge for effectively applying the machine learning algorithms to these high-dimensional microarray datasets. Methods: To address this challenge, this paper introduces a proposed hybrid filter and differential evolution-based feature selection to choose only the most influential genes or features of high-dimensional microarray datasets to improve cancer diagnoses and classification. The proposed approach is a two-phase hybrid feature selection model constructed using selecting the top-ranked features by some popular filter feature selection methods and then further identifying the most optimal features conducted by differential evolution (DE) optimization. Accordingly, some popular machine learning algorithms are trained using the final training microarray datasets with only the best features in order to produce outstanding cancer classification results. Four high-dimensional cancerous microarray datasets were used in this study to evaluate the proposed method, which are Breast, Lung, Central Nervous System (CNS), and Brain cancer datasets. Results: The experimental results demonstrate that the classification accuracy results achieved by the proposed hybrid filter-DE over filter methods increased to 100%, 100%, 93%, and 98% on Brain, CNS, Breast and Lung, respectively. Furthermore, applying the suggested DE-based feature selection contributed to removing around 50% of the features selected by using the filter methods for these four cancerous microarray datasets. The average improvement percentages of accuracy achieved by the proposed methods were up to 42.47%, 57.45%, 16.28% and 43.57% compared to the previous works that are 41.43%, 53.66%, 17.53%, 61.70% on Brain, CNS, Lung and Breast datasets, respectively. Conclusions: Compared to the previous works, the proposed methods accomplished better improvement percentages on Brain and CNS datasets, comparable improvement percentages on Lung dataset, and less improvement percentages on Breast dataset.
The Rationale for Combining Hypofractionated Radiation and Hyperthermia
Authors: Sinha Priyanshu M. , Folefac Charlemagne A. , Overgaard Jens , Horsman Michael R.
Published: November 2024

The conventional radiation treatment of cancer patients has typically involved a large number of daily treatments with relatively low doses of radiation. However, improved technology has now resulted in the increased use of fewer radiation fractions at a high dose per fraction. This latter approach is often referred to as hypofractionated irradiation. While conventional radiation typically kills tumor cells through the production of DNA damage, treatments with higher doses per fraction have been suggested to also kill cells via the induction of vascular damage. Such vascular effects will also increase the level of adverse microenvironmental conditions, such as hypoxia and acidity, that already exist in tumors. Cells existing in these adverse microenvironmental conditions are resistant to radiation but actually sensitive to hyperthermia (heating at 40–45 °C) treatment. This suggests that the combination of hypofractionated radiation and heat may be a viable treatment approach. While there are preliminary pre-clinical and even clinical studies investigating this option, there are actually no data on the optimal application for the greatest therapeutic benefit. In this critical review, we will present the rationale for combining hypofractionated radiation with hyperthermia and discuss what has been done and what should be done to establish this combination as an effective cancer therapy option.
Free Methylglyoxal as a Metabolic New Biomarker of Tumor Cell Proliferation in Cancers
Authors: Belpomme Dominique , Lacomme Stéphanie , Poletti Clément , Bonesso Laurent , Hinault-Boyer Charlotte , Barbier Sylvie , Irigaray Philippe
Published: November 2024

Background: A fundamental property of cancer cells is their metabolic reprogramming, allowing them to increase glucose uptake and glycolysis. Using a rat colon adenocarcinoma model, we previously showed that blood levels of free methylglyoxal (MG), a side-product of glycolysis, remained normal in animals grafted with a non-growing tumor cell clone, while MG levels were significantly increased and positively correlated with tumor growth in animals grafted with a tumorigenic cell clone issued from the same tumor. Methods: We measured free MG in the blood of cancerous non-diabetic patients and compared the results to healthy subjects and non-cancerous diabetic patients. We also measured free MG in tumors and in the corresponding non-cancer tissues, and the peripheral blood. Results: We show that free MG levels in the peripheral blood of cancer patients are significantly increased in comparison with free MG levels in the peripheral blood of healthy controls (p < 0.0001), and similar to those in the peripheral blood of hyperglycemic diabetic patients (p = 0.965). In addition, we show that repeated free MG level measurement could be used for the therapeutic monitoring of cancer patients. Moreover, we confirmed that free MG is produced by tumor cells at significantly higher levels than cells from their corresponding tissues (p < 0.0001), and is subsequently released in the peripheral blood. Conclusions: Free MG measured in the blood could be a new metabolic biomarker useful for the diagnostic, prognostic and follow-up of non-diabetic patients with cancers, such as bronchus carcinoma, pancreatic carcinoma and glioblastoma, for which there are presently no available useful biomarkers.
Hydrogen and Oxygen Evolution on Flexible Catalysts Based on Nickel–Iron Coatings
Authors: Shyshkin Dmytro , Tamašauskaitė-Tamašiūnaitė Loreta , Šimkūnaitė Dijana , Balčiūnaitė Aldona , Sukackienė Zita , Vaičiūnienė Jūratė , Šimkūnaitė-Stanynienė Birutė , Nacys Antanas , Norkus Eugenijus
Published: November 2024

The electrolysis of water is one of low-cost green hydrogen production technologies. The main challenge regarding this technology is designing and developing low-cost and high-activity catalysts. Herein, we present a strategy to fabricate flexible electrocatalysts based on nickel–iron (NiFe) alloy coatings. NiFe coatings were plated on the flexible copper-coated polyimide surface (Cu/PI) using the low-cost and straightforward electroless metal-plating method, with morpholine borane as a reducing agent. It was found that Ni90Fe10, Ni80Fe20, Ni60Fe40, and Ni30Fe70 coatings were deposited on the Cu/PI surface; then, the concentration of Fe2+ in the plating solution was 0.5, 1, 5, and 10 mM, respectively. The morphology, structure, and composition of NixFey/Cu/PI catalysts have been examined using scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX), X-ray diffraction (XRD), and inductively coupled plasma–optical emission spectroscopy (ICP-OES), whereas their activity has been investigated for hydrogen evolution (HER) and oxygen evolution (OER) reactions in 1 M KOH using linear sweep voltammetry (LSVs). It was found that the Ni80Fe20/Cu/PI catalyst exhibited the lowest overpotential value of −202.7 mV for the HER, obtaining a current density of 10 mA cm−2 compared to Ni90Fe10/Cu/PI (−211.9 mV), Ni60Fe40/Cu/PI (−276.3 mV), Ni30Fe70/Cu/PI (−278.4 mV), and Ni (−303.4 mV). On the other hand, the lowest OER overpotential (344.7 mV) was observed for the Ni60Fe40/Cu/PI catalyst, obtaining a current density of 10 mA cm−2 compared to the Ni35Fe65 (369.9 mV), Ni80Fe20 (450.2 mV), and Ni90Fe10 (454.2 mV) coatings, and Ni (532.1 mV). The developed Ni60Fe40/Cu/PI catalyst exhibit a cell potential of 1.85 V at 10 mA cm−2. The obtained catalysts seem to be suitable flexible catalysts for HER and OER in alkaline media.