bluuebunny/crossref_metadata_2025 huggingface dataset:
Effects of Cold Acclimation on Morpho-Anatomical Traits of Heteroblastic Foliage in Pinus massoniana (Lamb.) Seedlings
Authors: Xu Yingying , Wang Haoyun , He Hongyang , Wu Feng
Published: September 2024

Cold acclimation before winter has been shown to enhance the cold tolerance of evergreen conifers, including Pinus massoniana Lamb., a characteristic heteroblastic foliage tree in the conifer. In the initial growing season of P. massoniana, both primary needle seedlings (PNSs) and secondary needle seedlings (SNSs) are generated. While previous research has highlighted differences in the morphological structure and photosynthetic physiological functions of primary and secondary needles, their response to cold acclimation remains poorly understood. This study aimed to investigate the changes in morpho-anatomical structure, starch grain accumulation, and lignin deposition in the roots, stems, and leaves of PNSs and SNSs during cold acclimation using solid potassium iodide and hydrochloric acid phloroglucinol double-staining techniques. The results revealed that, during cold acclimation, the leaves and stems of PNSs exhibited sensitivity to low-temperature stress, resulting in noticeable shrinkage and fracture of mesophyll and cortical parenchyma cells. Furthermore, the early stages of cold acclimation promoted the accumulation of starch grains and lignin in the seedling tissues. In contrast to PNSs, the leaves and stems of SNSs exhibited a shorter cold acclimation period, attributed to the hydrolysis of starch grains in the epidermal cell walls and the transformation of xylem lignin, which supports cell structure stability and enhances cold resistance. In conclusion, these findings suggest that SNSs displayed a superior cold resistance potential compared to PNSs following cold acclimation, providing a significant theoretical basis for the further screening of cold-tolerant germplasm resources of P. massoniana and the analysis of cold resistance traits in heteroblastic foliage.
Soil-Sensitive Weibull Distribution Models of Larix principis-rupprechtii Plantations across Northern China
Authors: Guo Hong , Liu Xianzhao , Liu Dan
Published: September 2024

Tree diameter distribution models are important tools for forest management decision making. Soil variables affect tree growth and thus diameter distribution. However, few studies have been conducted on diameter distribution models describing the effects of soil. This study developed a soil-sensitive diameter distribution model based on 213 sample plots of Larix principis-rupprechtii plantations in northern China. The Weibull distribution model was modified by a compatible simultaneous system and the percentile method with the inclusion of soil variables. The most significant factors influencing the diameter distribution of L. principis-rupprechtii in terms of both scale and shape were stand characteristics and available K and alkali-hydrolysable N. The adjusted coefficient of determination for parameter γ significantly improved by 16.0%, while the root mean square error for parameter β decreased by 10.4%. The F test indicated a substantial difference between the models with and without soil variables. From the perspective of adjustable R2 values, the Akaike information criterion, root mean square error, relative error index, and absolute error index, the inclusion of stand and soil factors in the tree diameter distribution model enhanced its performance compared to the model that did not consider soil factors. The soil-sensitive diameter distribution model is proven to be effective and accurate.
Prediction of Potential Habitat of Monochamus alternatus Based on Shared Socioeconomic Pathway Scenarios
Authors: Jung Byeong-Jun , Lee Min-Gyu , Kim Sang-Wook
Published: September 2024

This study predicted the potential habitats of Monochamus alternatus, a known vector of Bursaphelenchus xylophilus, utilizing its occurrence points and environmental variables—ecoclimatic indices and terrain variables. SSP2-4.5 and SSP5-8.5 scenarios were applied to predict the potential habitat under climate change. We secured the 20,514 occurrence points of Monochamus alternatus among the points with geographic coordinates of PWD-affected trees (2017–2022). The maximum entropy model (MaxEnt) and ensemble model (ensemble) were used to identify and compare the variability of potential habitats in the baseline period, near future, intermediate future, and distant future. At the outset, both the MaxEnt and the ensemble models showed a high model fit, and the ensemble was judged to be relatively superior. Next, both models showed that the habitat will expand northward according to climate change scenarios. Finally, the binary maps were superimposed to examine the differences between individual and multiple models; both models showed similar distributions in the baseline period and near future. Nonetheless, MaxEnt tended to overestimate expansion in the intermediate and far future. In the future, it is expected that the accuracy and reliability of forecasts can be improved by building optimized models to reduce uncertainty by supplementing field data and collaborating with model experts.
Biomass Inversion of Highway Slope Based on Unmanned Aerial Vehicle Remote Sensing and Deep Learning
Authors: Hao Guangcun , Dong Zhiliang , Hu Liwen , Ouyang Qianru , Pan Jian , Liu Xiaoyang , Yang Guang , Sun Caige
Published: September 2024

Biomass can serve as an important indicator for measuring the effectiveness of slope ecological restoration, and unmanned aerial vehicle (UAV) remote sensing provides technical support for the rapid and accurate measurement of vegetation biomass on slopes. Considering a highway slope as the experimental area, in this study, we integrate UAV data and Sentinel-2A images; apply a deep learning method to integrate remote sensing data; extract slope vegetation features from vegetation probability, vegetation indices, and vegetation texture features; and construct a slope vegetation biomass inversion model. The R2 of the slope vegetation biomass inversion model is 0.795, and the p-value in the F-test is less than 0.01, which indicates that the model has excellent regression performance and statistical significance. Based on laboratory biomass measurements, the regression model error is small and reasonable, with RMSE = 0.073, MAE = 0.064, and SE = 0.03. The slope vegetation biomass can be accurately estimated using remote-sensing images with a high precision and good applicability. This study will provide a methodological reference and demonstrate its application in estimating vegetation biomass and carbon stock on highway slopes, thus providing data and methodological support for the simulation of the carbon balance process in slope restoration ecosystems.
High-Level Expression of β-Glucosidase in Aspergillus niger ATCC 20611 Using the Trichoderma reesei Promoter Pcdna1 to Enhance Cellulose Degradation
Authors: Chang Jingjing , Wang Juan , Li Zhihong , Wang Lu , Lu Peng , Zhong Yaohua , Liu Hong
Published: September 2024

β-glucosidase is a key component of cellulase for its function in hydrolyzing cellobiose to glucose in the final step of cellulose degradation. The high-level expression of β-glucosidase is essential for cellulose conversion. Aspergillus niger ATCC 20611 has the potential for efficient protein expression because of its ability to secret enzymes for the industrial production of fructooligosaccharides, but it lacks robust promoters for high-level protein expression. Here, the development of A. niger 20611 as a powerful protein expression system exploited the conserved constitutive promoter Pgpd1 of the glyceraldehyde-3-phosphate dehydrogenase-encoding gene from Trichoerma reesei to drive the expression of the enhanced green fluorescent protein in A. niger ATCC 20611. The mycelium of the transformant AGE9 exhibited intense fluorescence. Then, the promotor Pgpd1 was used to drive the expression of β-glucosidase and the enzyme activity of transformants AGB1 and AGB33 were 1.02 and 0.51 U/mL, respectively. These results demonstrate that the promotor Pgpd1 from T. reesei was applicable for A. niger ATCC 20611. Furthermore, the T. reesei-specific robust promoter Pcdna1 was used to drive the expression of β-glucosidase. The β-glucosidase exhibited a high-level expression with a yield of 15.2 U/mL, which was over 13.9 times higher than that driven by the promoter Pgpd1. The β-glucosidase was thermally stable and accounted for 85% of the total extracellular proteins. Subsequently, the fermentation broth including β-glucosidase was directly added to the cellulase mixture of T. reesei for saccharification of the acid-treated corncob residues and the delignified corncob residues, which increased the saccharification efficiency by 26.21% and 29.51%, respectively. Thus, β-glucosidase exhibited a high level of expression in A. niger ATCC 20611 and enhanced cellulose degradation by addition in vitro. In addition, the robust promoter Pcdna1 of T. reesei could drive the high-level expression of protein in A. niger ATCC 20611. These results demonstrate that the promoters in filamentous fungi could be employed across species in A. niger ATCC 20611 and further facilitated the efficient expression of β-glucosidase to optimize cellulases for efficient cellulose transformation.
Microbiological Evaluation of Two Mexican Artisanal Cheeses: Analysis of Foodborne Pathogenic Bacteria in Cotija Cheese and Bola de Ocosingo Cheese by qPCR
Authors: Estrada-Hernández Cindy Adriana , Becerra-Cedillo María Belén , Hernández Velázquez Irma Angélica , Mejía-Buenfil Hermann E. , Olivera-Martínez Tania , Salto-González I. Berenice , Torres-López Frida , Quirasco Maricarmen
Published: September 2024

Cotija and Bola de Ocosingo are artisanal ripened cheeses produced in Mexico. Both are made with raw bovine milk from free-grazing cows and with no starter cultures. Unlike culture-based techniques, molecular methods for pathogen detection in food allow a shorter turnaround time, higher detection specificity, and represent a lower microbiological risk for the analyst. In the present investigation, we analyzed 111 cheese samples (95 Cotija and 16 Bola de Ocosingo) by qPCR (TaqMan®) after an enrichment-culture step specific to each foodborne bacterium. The results showed that 100% of the samples were free of DNA from Listeria monocytogenes, Brucella spp., Escherichia coli enterotoxigenic (ETEC), and O157:H7; 9% amplified Salmonella spp. DNA; and 11.7%, Staphylococcus aureus DNA. However, the threshold cycle (Ct) values of the amplified targets ranged between 23 and 30, indicating DNA from non-viable microorganisms. Plate counts supported this assumption. In conclusion, 100% of the cheeses analyzed were safe to consume, and the enrichment step before DNA extraction proved essential to discern between viable and non-viable microorganisms. Hygienic milking, milk handling, cheese manufacturing, and ripening are crucial to achieve an adequate microbiological quality of cheeses made with raw milk.
Formulation and Evaluation of Turmeric- and Neem-Based Topical Nanoemulgel against Microbial Infection
Authors: Giri Sumon , Chakraborty Anhic , Mandal Chiranjit , Rajwar Tushar Kanti , Halder Jitu , Irfan Zainab , Gouda Mostafa M.
Published: September 2024

The combination of nanoemulgel and phytochemistry has resulted in several recent discoveries in the field of topical delivery systems. The present study aimed to prepare nanoemulgel based on turmeric (Curcuma longa) and neem (Azadirachta indica) against microbial infection as topical drug delivery. Olive oil (oil phase), Tween 80 (surfactant), and PEG600 (co-surfactant) were used for the preparation of nanoemulsion. Carbopol 934 was used as a gelling agent to convert the nanoemulsion to nanoemulgel and promote the control of the release of biological properties of turmeric and neem. The nanoemulsion was characterized based on particle size distribution, PDI values, and compatibility using FTIR analysis. In contrast, the nanoemulgel was evaluated based on pH, viscosity, spreadability, plant extract and excipient compatibility or physical state, in vitro study, ex vivo mucoadhesive study, antimicrobial properties, and stability. The resulting nanoemulsion was homogeneous and stable during the centrifugation process, with the smallest droplets and low PDI values. FTIR analysis also confirmed good compatibility and absence of phase separation between the oil substance, surfactant, and co-surfactant with both plant extracts. The improved nanoemulgel also demonstrated a smooth texture, good consistency, good pH, desired viscosity, ex vivo mucoadhesive strength with the highest spreadability, and 18 h in vitro drug release. Additionally, it exhibited better antimicrobial properties against different microbial strains. Stability studies also revealed that the product had good rheological properties and physicochemical state for a period of over 3 months. The present study affirmed that turmeric- and neem-based nanoemulgel is a promising alternative for microbial infection particularly associated with microorganisms via topical application.
In Silico Exploration of AHR-HIF Pathway Interplay: Implications for Therapeutic Targeting in ccRCC
Authors: Gregoris Francesco , Minervini Giovanni , Tosatto Silvio C. E.
Published: September 2024

The oxygen-sensing pathway is a crucial regulatory circuit that defines cellular conditions and is extensively exploited in cancer development. Pathogenic mutations in the von Hippel–Lindau (VHL) tumour suppressor impair its role as a master regulator of hypoxia-inducible factors (HIFs), leading to constitutive HIF activation and uncontrolled angiogenesis, increasing the risk of developing clear cell renal cell carcinoma (ccRCC). HIF hyperactivation can sequester HIF-1β, preventing the aryl hydrocarbon receptor (AHR) from correctly activating gene expression in response to endogenous and exogenous ligands such as TCDD (dioxins). In this study, we used protein–protein interaction networks and gene expression profiling to characterize the impact of VHL loss on AHR activity. Our findings reveal specific expression patterns of AHR interactors following exposure to 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) and in ccRCC. We identified several AHR interactors significantly associated with poor survival rates in ccRCC patients. Notably, the upregulation of the androgen receptor (AR) and retinoblastoma-associated protein (RB1) by TCDD, coupled with their respective downregulation in ccRCC and association with poor survival rates, suggests novel therapeutic targets. The strategic activation of the AHR via selective AHR modulators (SAhRMs) could stimulate its anticancer activity, specifically targeting RB1 and AR to reduce cell cycle progression and metastasis formation in ccRCC. Our study provides comprehensive insights into the complex interplay between the AHR and HIF pathways in ccRCC pathogenesis, offering novel strategies for targeted therapeutic interventions.
A Novel Pathogenic Large Duplication in EXT1 Identified in a Family with Multiple Osteochondromas
Authors: Bartolotti Isabella , Sobul Klaudia , Corsini Serena , Scognamiglio Davide , Moroni Alice , Gnoli Maria , Sangiorgi Luca , Pedrini Elena
Published: September 2024

Multiple osteochondromas (MO) is an autosomal dominant disorder and the most common genetic skeletal dysplasia, characterized by the growth of bone outgrowths capped by cartilage, called osteochondromas. Most MO cases are caused by mutations in the exostosin-1 (EXT1) and exostosin-2 (EXT2) genes. Only 5% of MO-causative variants are represented by single or multiple exon deletions; to date, no pathogenic large duplication has been described in the literature. In the present study, we describe the novel in-tandem intragenic duplication c.(1128_1202)_(1284+29_1344)dup involving exon 4 of EXT1 (NM_000127.2), detected in a three-generation family with MO. The variant has been detected by MLPA (multiplex ligation-dependent probe amplification) and then confirmed with qPCR (quantitative PCR). Our finding expands the spectrum of MO-causing variants describing a pathogenic large duplication, underlying the importance of quantitative analysis in patients with negative sequencing.
Online Patient Education in Obstructive Sleep Apnea: ChatGPT versus Google Search
Authors: Incerti Parenti Serena , Bartolucci Maria Lavinia , Biondi Elena , Maglioni Alessandro , Corazza Giulia , Gracco Antonio , Alessandri-Bonetti Giulio
Published: September 2024

The widespread implementation of artificial intelligence technologies provides an appealing alternative to traditional search engines for online patient healthcare education. This study assessed ChatGPT-3.5’s capabilities as a source of obstructive sleep apnea (OSA) information, using Google Search as a comparison. Ten frequently searched questions related to OSA were entered into Google Search and ChatGPT-3.5. The responses were assessed by two independent researchers using the Global Quality Score (GQS), Patient Education Materials Assessment Tool (PEMAT), DISCERN instrument, CLEAR tool, and readability scores (Flesch Reading Ease and Flesch–Kincaid Grade Level). ChatGPT-3.5 significantly outperformed Google Search in terms of GQS (5.00 vs. 2.50, p < 0.0001), DISCERN reliability (35.00 vs. 29.50, p = 0.001), and quality (11.50 vs. 7.00, p = 0.02). The CLEAR tool scores indicated that ChatGPT-3.5 provided excellent content (25.00 vs. 15.50, p < 0.001). PEMAT scores showed higher understandability (60–91% vs. 44–80%) and actionability for ChatGPT-3.5 (0–40% vs. 0%). Readability analysis revealed that Google Search responses were easier to read (FRE: 56.05 vs. 22.00; FKGL: 9.00 vs. 14.00, p < 0.0001). ChatGPT-3.5 delivers higher quality and more comprehensive OSA information compared to Google Search, although its responses are less readable. This suggests that while ChatGPT-3.5 can be a valuable tool for patient education, efforts to improve readability are necessary to ensure accessibility and utility for all patients. Healthcare providers should be aware of the strengths and weaknesses of various healthcare information resources and emphasize the importance of critically evaluating online health information, advising patients on its reliability and relevance.
Leptospirosis Incidence Post-Flooding Following Storm Daniel: The First Case Series in Greece
Authors: Poulakida Irene , Kotsiou Ourania S. , Boutlas Stylianos , Stergioula Despoina , Papadamou Georgia , Gourgoulianis Konstantinos I. , Papagiannis Dimitrios
Published: September 2024

The present study investigates the public health impact of flooding on leptospirosis incidence after Storm Daniel in Thessaly, Greece, in September 2023. A notable increase in cases was observed, with seven cases of female patients and a mean age of 40.2 years, indicating a significant risk among working-age adults. From the end of September to the beginning of November 2023, a total of 35 patients from flood-prone areas presented to the Emergency Department of the Tertiary University Hospital of Larissa. Diagnosis of leptospirosis was established by meeting the criteria suggested by the national public health organisation (EODY)-compatible clinical course, epidemiological exposure, molecular and serologic confirmation by the detection of immunoglobulin M antibodies to leptospira spp. using a commercially available enzyme-linked immunosorbent assay and real-time quantitative PCR for the molecular detection of leptospira. The larger part (84.6%) of leptospirosis cases were associated with contact with floodwater. The majority of these patients (71.4%) were from the prefecture of Larissa, followed by 14.3% from the prefecture of Karditsa, 8.6% from the prefecture of Trikala, and 5.7% from the prefecture of Magnesia. Occupational exposure and urbanisation were key risk factors. The most prevalent clinical feature was rash (69.2%), followed by fever (61.5%) and myalgia (30.7%). The findings emphasise the need for robust public health strategies, improved sanitation, rodent control, and protective measures for sanitation workers. The data highlight the broader implications of climate change on public health and the necessity for ongoing surveillance and community education to mitigate future outbreaks.
Remote Parenting in Families Experiencing, or at Risk of, Homelessness: A Study Based on Grounded Theory
Authors: Andrade Filipa Maria Reinhardt , Resende Ana , Roquette-Viana Maria Clara , Simões Figueiredo Amélia
Published: September 2024

The situation/risk of family homelessness presents multiple interrelated issues. It has considerable negative consequences, namely the deterioration of the family members’ health and well-being, and alterations in the family’s dynamics, with parents sometimes being separated from their children. The aim of this research was to understand how parenting takes place in families experiencing, or at risk of, homelessness. The conducted study falls within the qualitative paradigm, using Strauss and Corbin’s version of the Grounded Theory methodology. Three main categories emerged, supported by all the participating families: “Meaning of Parenthood”, “Key Events”, and “Transition Circumstances”. These categories were translated into facilitating/inhibiting factors, within the following dimensions: “Individual”, “Family”, and “Society”. We were able to conclude that, in the population under study, parenting is restricted, being mostly exerted in a remote manner. Furthermore, it takes on different forms, depending on the specific homelessness situation/risk. In families at risk of homelessness, we identified “Remote Parenting with Maintained Parental Authority”, as well as “Restricted Parenting”, when the children still lived with their parents. On the other hand, in families experiencing homelessness, we identified “Remote Parenting with Maintained Parental Authority”, “Unilateral Remote Parenting”, “Interrupted Parenting”, and the “Total Disruption of Parenting”.
Consistency in the Assessment of Dried Blood Spot Specimen Size and Quality in U.K. Newborn Screening Laboratories
Authors: Moat Stuart J. , Bonham James R. , Cavanagh Christine , Birch Margaret , Griffith Caroline , Shakespeare Lynette , Le Masurier Clare , Manfredonia Claire , Hird Beverly , Goddard Philippa , Smith Sarah , Wainwright Laura , Carling Rachel S. , Cundick Jennifer , Jenkinson Fiona , Collingwood Catherine , Flynn Nick , Taj Nazia , Mirzazadeh Mehdi , Ramgoolam Tejswurree , Robinson Liz , Headley Amy , Morgan Tessa , Elliman David , Tetlow Lesley
Published: September 2024

In 2015, U.K. newborn screening (NBS) laboratory guidelines were introduced to standardize dried blood spot (DBS) specimen quality acceptance and specify a minimum acceptable DBS diameter of ≥7 mm. The UK ‘acceptable’ avoidable repeat rate (AVRR) is ≤2%. To assess inter-laboratory variability in specimen acceptance/rejection, two sets of colored scanned images (n = 40/set) of both good and poor-quality DBS specimens were distributed to all 16 U.K. NBS laboratories for evaluation as part of an external quality assurance (EQA) assessment. The mean (range) number of specimens rejected in the first EQA distribution was 7 (1–16) and in the second EQA distribution was 7 (0–16), demonstrating that adherence to the 2015 guidelines was highly variable. A new minimum standard for DBS size of ≥8 mm (to enable a minimum of six sub-punches from two DBS) was discussed. NBS laboratories undertook a prospective audit and demonstrated that using ≥8 mm as the minimum acceptable DBS diameter would increase the AVRR from 2.1% (range 0.55% to 5.5%) to 7.8% (range 0.55% to 22.7%). A significant inverse association between the number of specimens rejected in the DBS EQA distributions and the predicted AVVR (using ≥8 mm minimum standard) was observed (r = −0.734, p = 0.003). Before implementing more stringent standards, the impact of a standard operating procedure (SOP) designed to enable a standardized approach of visual assessment and using the existing ≥7 mm diameter (to enable a minimum of four sub-punches from two DBS) as the minimum standard was assessed in a retrospective audit. Implementation of the SOP and using the ≥7 mm DBS diameter would increase the AVRR from 2.3% (range 0.63% to 5.3%) to 6.5% (range 4.3% to 20.9%). The results demonstrate that there is inconsistency in applying the acceptance/rejection criteria, and that a low AVVR is not an indication of good-quality specimens being received into laboratories. Further work is underway to introduce and maintain standards without increasing the AVRR to unacceptable levels.
Generative AI and Its Implications for Definitions of Trust
Authors: Wolf Marty J. , Grodzinsky Frances , Miller Keith W.
Published: September 2024

In this paper, we undertake a critical analysis of how chatbots built on generative artificial intelligence impact assumptions underlying definitions of trust. We engage a particular definition of trust and the object-oriented model of trust that was built upon it and identify how at least four implicit assumptions may no longer hold. Those assumptions include that people generally provide others with a default level of trust, the ability to identify whether the trusted agent is human or artificial, that risk and trust can be readily quantified or categorized, and that there is no expectation of gain by agents engaged in trust relationships. Based on that analysis, we suggest modifications to the definition and model to accommodate the features of generative AI chatbots. Our changes re-emphasize developers’ responsibility for the impacts of their AI artifacts, no matter how sophisticated the artifact may be. The changes also reflect that trust relationships are more fraught when participants in such relationships are not confident in identifying the nature of a potential trust partner.
Synthesis of Sulfonic Acid-Functionalized g-C3N4/BiOI Bifunctional Heterojunction for Enhanced Photocatalytic Removal of Tartrazine and PEC Oxygen Evolution Reaction
Authors: Balu Sridharan , Venkatesvaran Harikrishnan , Wang Chien-Chih , Juan Joon Ching , Yang Thomas Chung-Kuang
Published: September 2024

A Z-scheme heterojunction photo(electro)catalyst was fabricated by coupling sulfonic acid-modified graphitic carbon nitride (SA-g-CN) with bismuth oxyiodide (BiOI). The SA-g-CN component was prepared via wet-impregnation, while BiOI was synthesized through a hydrothermal method. Comprehensive characterization elucidated the structural and morphological properties of the resulting composite. The SA-g-CN/BiOI exhibited exceptional performance in both photocatalytic degradation of tartrazine (TTZ) and photoelectrochemical oxygen evolution reaction (OER). Notably, 98.26% TTZ removal was achieved within 60 min of irradiation, while an OER onset potential of 0.94 V (vs. Ag/AgCl) and a high photocurrent density of 6.04 mA were recorded under AM 1.5G illumination. Band energy calculations based on Mott–Schottky measurements confirmed the formation of a Z-scheme heterojunction, which facilitated efficient charge separation and transfer, thereby enhancing catalytic activity. These findings establish the SA-g-CN/BiOI composite as a promising candidate for sustainable energy generation and environmental remediation applications.
The Role of P Wave Parameters in Predicting Pulmonary Vein Isolation Outcomes for Paroxysmal Atrial Fibrillation: An Observational Cohort Study
Authors: Antoun Ibrahim , Li Xin , Kotb Ahmed I. , Vali Zakkariya , Abdelrazik Ahmed , Koya Abdulmalik , Mavilakandy Akash , Koev Ivelin , Nizam Ali , Eldeeb Hany , Somani Riyaz , Ng André
Published: September 2024

Background: Pulmonary vein isolation (PVI) is an effective management method for paroxysmal atrial fibrillation (PAF). The P wave in the 12-lead electrocardiogram (ECG) represents atrial depolarisation. This study aims to utilise the P wave to predict PVI outcomes for PAF. Methods: This single-centre retrospective study aimed to predict PVI outcomes using P wave parameters. It included 211 consecutive patients with first PVI for PAF between 2018 and 2019 and targeted the pulmonary veins (PVs). Procedure success was defined by freedom of ECG-documented AF at 12 months. Digital 12-lead ECGs with 1–50 hertz bandpass filters were monitored before the procedure. Corrected P wave duration (PWDc), P wave amplitude (PWV), P wave dispersion (PWDisp), intra-atrial block (IAB), P wave area (PWA), and P wave terminal force in V1 (PTFV1) were measured before ablation and correlated with the outcomes. Results: Successful PVI occurred in 154 patients (73%). Demographics were similar between both arms. P wave parameters correlated with PVI failure included increased PWDc in all leads except for lead III, aVR, and V3, decreased PWV in lead I (hazard ratio [HR]: 0.7, 95% confidence interval [CI]: 0.53–0.95), lead II (HR: 0.45, 95% CI: 0.22–0.65), aVL (HR: 0.58, 95% CI: 0.22–0.98), and aVF (HR: 0.67, 95% CI: 0.58–0.87), decreased PWA in lead I (HR: 0.55, 95% CI: 0.21–0.76), lead II (HR: 0.48, 95% CI: 0.34–0.87), aVL (HR: 0.65, 95% CI: 0.45–0.96), and aVF (HR: 0.61, 95% CI: 0.32–0.89), and the presence of IAB (HR: 2, 95% CI: 1.4–4.2, p = 0.02). PWDisp and PTFV1 were not correlated with PVI outcome. Conclusions: PWDc, PWA, PWV, and IAB are valuable predictors for PVI outcome for PAF at 12 months.
An Anti-Occlusion Approach for Enhanced Unmanned Surface Vehicle Target Detection and Tracking with Multimodal Sensor Data
Authors: Zheng Minjie , Li Dingyuan , Chen Guoquan , Wang Weijun , Yang Shenhua
Published: September 2024

Multimodal sensors are often employed by USVs (unmanned surface vehicles) to enhance situational awareness, and the fusion of LiDAR and monocular vision is widely used in near-field perception scenarios. However, this strategy of fusing data from LiDAR and monocular vision may lead to the incorrect matching of image targets and LiDAR point cloud targets when targets occlude one another. To address this issue, a target matching network with an attention module was developed to process occlusion information. Additionally, an image target occlusion detection branch was incorporated into YOLOv9 to extract the occlusion relationships of the image targets. The introduction of the attention module and the occlusion detection branch allows for the consideration of occlusion information in matching point cloud and image targets, thereby achieving more accurate target matching. Based on the target matching network, a method for water surface target detection and multi-target tracking was proposed. This method fuses LiDAR point cloud and image data while considering occlusion information. Its effectiveness was confirmed through experimental verification. The experimental results show that the proposed method improved the correct matching rate in complex scenarios by 13.83% compared to IoU-based target matching methods, with an MOTA metric of 0.879 and an average frame rate of 21.98. The results demonstrate that the method effectively reduces the mismatch rate between point cloud and image targets. The method’s frame rate meets real-time requirements, and the method itself offers a promising solution for unmanned surface vehicles (USVs) to perform water surface target detection and multi-target tracking.
Channel Estimation and Iterative Decoding for Underwater Acoustic OTFS Communication Systems
Authors: Liu Lei , Ma Chao , Duan Yong , Liu Xinyu , Qing Xin
Published: September 2024

Orthogonal Time–Frequency Space (OTFS) is an innovative modulation method that ensures efficient and secure communication over a time-varying channel. This characteristic inspired us to integrate OTFS technology with underwater acoustic (UWA) communications to counteract the time-varying and overspread characteristics of UWA channels. However, implementing OTFS in UWA communications presents challenges related to overspread channels. To handle these challenges, we introduce a specialized OTFS system and offer frame design recommendations for UWA communications in this article. We propose a Doppler compensation method and a dual-domain joint channel estimation method to address the issues caused by severe Doppler effects in UWA communication. Additionally, we propose an OTFS system detection approach. This approach incorporates an iterative detection process which facilitates soft information exchange between a message passing (MP) detector and a low-density parity check (LDPC) decoder. By conducting simulations, we demonstrate that the proposed UWA OTFS system significantly outperforms Orthogonal Frequency-Division Multiplexing (OFDM), Initial Estimate Iterative Decoding Feedback (IE-IDF-MRC), and two-dimensional Passive Time Reversal Decision Feedback Equalization (2D-PTR-DFE) in UWA channels.
Application of Multiple Geophysical Exploration Methods in the Exploration of Marine Sand Resources in the Northern Offshore Waters of the South China Sea
Authors: Yu Gang , Hu Xichong , Fang Jie , Yang Ying , Zhang Yongcong , Lin Jinhui , Liu Jingyi , Qian Libing
Published: September 2024

Marine sand, in addition to oil and gas resources, is the second-largest marine mineral resource. The rational development and utilization of marine sand resources are conducive to the growth of the marine economy. In the process of marketing marine sand in China, local authorities are required to delineate auctioned sand mining areas after a general survey, commonly referred to as preliminary exploration. Marine sand can be categorized into surface marine sand and buried marine sand. Buried marine sand deposits are buried beneath the sea floor, making it challenging to locate them due to their thin thickness. Consequently, there exist numerous technical difficulties associated with marine sand exploration. We conducted the preliminary research work in the waters off Guangdong Province of the South China Sea, employing a reduced drilling and identifying a potentially extensive deposit of marine sand ore. In this study, various geophysical methods such as sub-bottom profile survey, single-channel seismic survey, and drilling engineering were employed in the northern offshore waters of the South China Sea. As a result, two distinct marine sand bodies were delineated within the study area. Additionally, five reflective interfaces (R1, R2, R3, R4, and R5) were identified from top to bottom. These interfaces can be divided into five seismic sequences: A1, B1, C1, D1, and E1, respectively. Three sets of strata were recognized: the Holocene Marine facies sediment layer (Q4m), the Pleistocene alluvial and pluvial facies sediment layer (Q3al+pl), as well as the Pleistocene Marine facies sedimentary layer (Q3m). In total, two placers containing marine sand have been discovered during this study. We estimated the volume of marine sand and achieved highly favorable results of the concept that we are proposing a geologic exploration approach that does not involve any previous outcropping analogue study.
Comparative Evaluation of Mechanical and Physical Properties of Mycelium Composite Boards Made from Lentinus sajor-caju with Various Ratios of Corn Husk and Sawdust
Authors: Jinanukul Praween , Kumla Jaturong , Aiduang Worawoot , Thamjaree Wandee , Oranratmanee Rawiwan , Shummadtayar Umpiga , Tongtuam Yuttana , Lumyong Saisamorn , Suwannarach Nakarin , Waroonkun Tanut
Published: September 2024

Mycelium-based composites (MBCs) exhibit varied properties as alternative biodegradable materials that can be used in various industries such as construction, furniture, household goods, and packaging. However, these properties are primarily influenced by the type of substrate used. This study aims to investigate the properties of MBCs produced from Lentinus sajor-caju strain CMU-NK0427 using different ratios of sawdust to corn husk in the development of mycelium composite boards (MCBs) with thicknesses of 8, 16, and 24 mm. The results indicate that variations in the ratios of corn husk to sawdust and thickness affected the mechanical and physical properties of the obtained MCBs. Reducing the corn husk content in the substrate increased the modulus of elasticity, density, and thermal conductivity, while increasing the corn husk content increased the bending strength, shrinkage, water absorption, and volumetric swelling. Additionally, an increase in thickness with the same substrate ratio only indicated an increase in density and shrinkage. MCBs have sound absorption properties ranging from 61 to 94% at a frequency of 1000 Hz. According to the correlation results, a reduction in corn husk content in the substrate has a significant positive effect on the reduction in bending strength, shrinkage, and water absorption in MCBs. However, a decrease in corn husk content shows a strong negative correlation with the increase in the modulus of elasticity, density, and thermal conductivity. The thickness of MCBs with the same substrate ratio only shows a significant negative correlation with the modulus of elasticity and bending strength. Compared to commercial boards, the mechanical (bending strength) and physical (density, thermal conductivity, and sound absorption) properties of MCBs made from a 100% corn husk ratio are most similar to those of softboards and acoustic boards. The results of this study can provide valuable information for the production of MCBs and will serve as a guide to enhance strategies for further improving their properties for commercial manufacturing, as well as fulfilling the long-term goal of eco-friendly recycling of lignocellulosic substrates.
Uncovering the Mechanisms: The Role of Biotrophic Fungi in Activating or Suppressing Plant Defense Responses
Authors: Leiva-Mora Michel , Capdesuñer Yanelis , Villalobos-Olivera Ariel , Moya-Jiménez Roberto , Saa Luis Rodrigo , Martínez-Montero Marcos Edel
Published: September 2024

This paper discusses the mechanisms by which fungi manipulate plant physiology and suppress plant defense responses by producing effectors that can target various host proteins. Effector-triggered immunity and effector-triggered susceptibility are pivotal elements in the complex molecular dialogue underlying plant–pathogen interactions. Pathogen-produced effector molecules possess the ability to mimic pathogen-associated molecular patterns or hinder the binding of pattern recognition receptors. Effectors can directly target nucleotide-binding domain, leucine-rich repeat receptors, or manipulate downstream signaling components to suppress plant defense. Interactions between these effectors and receptor-like kinases in host plants are critical in this process. Biotrophic fungi adeptly exploit the signaling networks of key plant hormones, including salicylic acid, jasmonic acid, abscisic acid, and ethylene, to establish a compatible interaction with their plant hosts. Overall, the paper highlights the importance of understanding the complex interplay between plant defense mechanisms and fungal effectors to develop effective strategies for plant disease management.
Uncovering Urban Palimpsest through Descriptive and Analytical Approaches to Urban Morphology—Understanding the Ottoman Urban Fabric of Bursa, Türkiye
Authors: Sarihan Elif , Lovra Éva
Published: September 2024

This study examines the transformation of the urban fabric by analyzing changes in both structural and numerical parameters of spatial organization, with a particular emphasis on the hierarchical relationships between streets, blocks, and buildings. The research utilizes Bursa, the former Ottoman capital in Turkey, as a case study to explore these dynamics. The elements of streets, blocks, and buildings are posited as fundamental components in conceptualizing cities as layered palimpsests, where successive historical layers coexist within the urban fabric. The research establishes a conceptual parallel between the methodologies and analytical tools of urban morphology, particularly through the shared notion of the palimpsest. In the case of Bursa, the architectural remains and urban form of the Early, Classical, and Late Ottoman periods and of the Republican period are superimposed. In particular, the late Ottoman reform era, the Tanzimat period of the 19th century, brought great change. Historical maps from this era serve as primary sources for comprehending the evolving character and spatial configuration of the city. This research presents a novel methodological contribution by extending the analytical framework of urban morphology to integrate both qualitative and quantitative data. It employs Geographic Information Systems (GISs) and statistical methods to quantify changes in the urban fabric, assessing both pre-modernization and post-modernization phases. Historical maps from the 19th century are utilized as primary sources to trace and compare transformations within the urban fabric, with clustering techniques further aiding this analysis. The findings provide a deeper understanding of the dynamic processes that shape the historic structure of cities, offering a dual approach to urban transformation that harmonizes historical continuity with modern development.
Ce Doping Effects on the Hydrogen Sensing Properties of Graphene/SnO2-Based Sensors
Authors: Jiao Zijie , Wang Lingyun , Xu Xiaotong , Xiang Jie , Huang Shuiming , Lu Tao , Hou Xueling
Published: September 2024

The development of a sensor capable of selectively detecting hydrogen levels in the environment holds immense importance for ensuring the safer utilization of hydrogen energy. In this study, a hydrogen sensor made of Ce-doped single-layer graphene (SLG)/SnO2 composite material was fabricated using a hydrothermal method. The study examined the impact of varying Ce doping concentrations on the hydrogen sensing capabilities of the SLG/SnO2 matrix. The results show that the SLG/SnO2 hydrogen sensor doped with 2 mol% Ce demonstrated optimal performance at a humidity of 20%. It operated most efficiently at 250 °C, with a response of 2.49, representing a 25.75% improvement over the undoped sample. The response/recovery times were 0.46/3.92 s, which are 54.9% shorter than those of the undoped sample. The enhancement in hydrogen sensitivity stems from the synergistic effect of Ce and SLG, which facilitates the coexistence of n–n and p–n heterojunctions, thereby increasing carrier mobility and refining grain structure. Analysis via X-ray photoelectron spectroscopy (XPS) reveals that Ce increases the material’s oxygen vacancy concentration, enhancing its hydrogen sensitivity. Ce-doped SLG/SnO2, with its robust hydrogen sensitivity, represents one of the leading candidates for future hydrogen gas sensors.
RETRACTED: Goud et al. Numerical Case Study of Chemical Reaction Impact on MHD Micropolar Fluid Flow Past over a Vertical Riga Plate. Materials 2022, 15, 4060
Authors: Goud B. Shankar , Reddy Yanala Dharmendar , Alshehri Nawal A. , Jamshed Wasim , Safdar Rabia , Eid Mohamed R. , Bouazizi Mohamed Lamjed
Published: September 2024

The Materials Editorial Office retracts the article “Numerical Case Study of Chemical Reaction Impact on MHD Micropolar Fluid Flow Past over a Vertical Riga Plate” [...]
Verification of Numerical Models of High Thin-Walled Cold-Formed Steel Purlins
Authors: Pařenica Přemysl , Krejsa Martin , Brožovský Jiří , Lehner Petr
Published: September 2024

High thin-walled cold-formed steel purlins of the Z cross section are important elements of large-span steel structures in the construction industry. The present numerical study uses the finite element method to analyse the 300 mm and 350 mm high Z cross sections in-depth. The prepared numerical models are verified and validated at several levels with experiments that have been previously published. Significant agreement between the numerical models and the experimental results regarding Mises stress, proportional strain, failure mode, and force-deformation diagram have been obtained. With the verification, the presented procedure and partial findings can be applied to other similar problems. The results can be used to help research and corporate groups optimise the structural design of cold-formed thin-walled steel structures.
Evolutionary Game Analysis of Healthcare Information Construction and Sharing Decisions Considering Synergy Benefits
Authors: Yang Sen , Wang Haiyan
Published: September 2024

The current healthcare system suffers from information fragmentation. Achieving an efficient medical process necessitates coordination among healthcare institutions at different levels to enhance efficiency and reduce costs, with information synergy playing a crucial role in this endeavor. Due to concerns about information security and the costs associated with information construction, healthcare institutions are often reluctant to collaborate on information sharing. To address this issue, we propose an analytical framework for information synergy among different levels of healthcare institutions, which clarifies the impact of synergy benefits on the collaborative behavior of medical system members. We construct an evolutionary game model to study the dynamic strategy choices of the relevant participants. Our analysis reveals that general hospitals, as the main actors in the healthcare system, have a lower willingness to further invest in information construction and sharing. Their willingness is significantly influenced by the volume of information they can utilize from primary healthcare institutions. Moreover, interventions from the government and society can effectively encourage all members of the medical system to adopt collaborative information strategies. Establishing a comprehensive and unified information platform, actively promoting hierarchical diagnosis and treatment, and setting reasonable assessment indicators for the level of information available from healthcare institutions can significantly reduce the costs associated with information construction. These measures will enhance the benefits of information synergy, thereby facilitating the exchange of information within the healthcare system.
Mathematical Model for Optimal Agri-Food Industry Residual Streams Flow Management: A Valorization Decision Support Tool
Authors: Barasoain-Echepare Íñigo , Zárraga-Rodríguez Marta , Podhorski Adam , Villar-Rosety Fernando M. , Besga-Oyanarte Leire , Jaray-Valdehierro Sofía , Fernández-Arévalo Tamara , Sancho Luis , Ayesa Eduardo , Gutiérrez-Gutiérrez Jesús , Insausti Xabier
Published: September 2024

We present a mathematical model for agri-food industry residual streams flow management, which serves as a decision support tool for optimizing their valorization. The aim is to determine, under a cost-benefit analysis approach, the best strategy at a global level. The proposed mathematical model provides the optimal valorization scenario, namely the set of routes followed by agri-food industry residual streams that maximizes the total profit obtained. The model takes into account the complete stoichiometry of the residual stream at each step of the valorization route. Furthermore, the model allows for the calculations of different scenarios to support decision-making. The proposed approach is illustrated through a case study using a real-case network of a region. The case study bears evidence that the use of the model can lead to significant profit increases compared to those obtained with current practices. Moreover, notable profit improvements are obtained in the case study if the selling price of all the value-added products considered increases or if the processing cost of the animal feed producer decreases. Therefore, our model enables the detection of key factors that influence the optimal strategy, making it a powerful decision-support tool for optimizing the valorization of agri-food industry residual streams.
Mathematical Data Science with Applications in Business, Industry, and Medicine
Authors: Johannssen Arne , Chukhrova Nataliya
Published: September 2024

Mathematical data science is a field that combines mathematical techniques with data science methods to extract insights and knowledge from data [...]