bluuebunny/crossref_metadata_2025 huggingface dataset:
Computed tomographic characteristics of craniomandibular osteopathy in 20 dogs
Authors: Pérez López L. A. , Almansa Ruiz J. C. , Steenkamp G. , Holdsworth A.
Published: September 2024

Craniomandibular osteopathy (CMO) is a proliferative, self-limiting, non-neoplastic disease of growing dogs characterised by excessive new bone formation on the skull and mandible. The radiographic findings of CMO are well described; however, limited reports of the computed tomographic (CT) appearance are available. This paper aims to characterise the spectrum of CT findings that can occur with CMO. The study is retrospective, descriptive, multicenter, and includes 20 cases. Age at presentation ranged from 6 weeks to 12 months, with no sex predisposition. Scottish terriers were overrepresented (65%); other breeds included Cairn terrier, Jack Russell terrier, Staffordshire bull terrier, labrador retriever, golden retriever, akita and Slovakian rough-haired pointer (one of each breed). Terrier breeds represented 80% (16/20) of the patient cohort. Mandibular osteoproliferation was present in all patients (marked in 80%, bilateral in 95%), affecting the rostral mandible in 25%, body in 85%, and ramus in 80%. Tympanic bulla osteoproliferation was present in 60% (12/20) of patients (all marked, bilateral in 75%). Cranial osteoproliferation (frontal, parietal, temporal, occipital bones or maxilla, or combinations of them) was present in 90% (18/20) of patients (40% marked, 27% moderate, 33% mild). Nasopharyngeal narrowing was seen in all 12 patients with tympanic bulla osteoproliferation (67% marked, 27% moderate) and caused nearly complete occlusion in two of them. External ear canal stenosis was seen in 55% (11/20) of patients (63% marked, 37% moderate, all bilateral). Temporomandibular joint (TMJ) impingement was suspected in 83% (10/12) of patients with marked tympanic bulla osteoproliferation (75% bilateral). Osteolysis with a moth-eaten pattern was seen in the mandible of 10/20 dogs, the calvarium of 5/20 dogs, and the maxilla of 1/20 dogs (5%). Lymphadenomegaly (mandibular and medial retropharyngeal) was found in 15/20 patients (70% mild, 30% moderate). The most severe CT changes were seen in Scottish terriers. CT allows for detailed characterisation of the bony changes associated with CMO, including the effects occurring secondary to osteoproliferation surrounding the tympanic bullae such as TMJ impingement, external ear canal stenosis, and nasopharyngeal narrowing. Osteoproliferation affecting the cranium and the presence of osteolysis were seen more frequently in this study than previously reported in CMO.
Physical Modeling of Structure and Dynamics of Concentrated, Tornado-like Vortices (A Review)
Authors: Varaksin Aleksey Yu. , Ryzhkov Sergei V.
Published: September 2024

Physical modeling is essential for developing the theory of concentrated, tornado-like vortices. Physical modeling data are crucial for interpreting real tornado field measurements and mathematical modeling data. This review focuses on describing and analyzing the results of a physical modeling of the structure and dynamics of tornado-like vortices, which are laboratory analogs of the vortex structures observed in nature (such as “dust devils” and air tornadoes). This review discusses studies on various types of concentrated vortices in laboratory conditions: (i) wall-bounded, stationary, and tornado-like vortices, (ii) wall-free, quasi-stationary, and tornado-like vortices, and (iii) wall-free, non-stationary, and tornado-like vortices. In our opinion, further progress in the development of the theory of non-stationary concentrated tornado-like vortices will determine the possibility of setting up the following studies: conducting experiments in order to study the mechanisms of vortex generation near the surface, determining the factors contributing to the stabilization (strengthening) and destabilization (weakening) of the generated vortices, and to find methods and means of controlling vortices.
Intelligent Classifier for Identifying and Managing Sheep and Goat Faces Using Deep Learning
Authors: Yadav Chandra Shekhar , Peixoto Antonio Augusto Teixeira , Rufino Luis Alberto Linhares , Silveira Aedo Braga , Alexandria Auzuir Ripardo de
Published: September 2024

Computer vision, particularly in artificial intelligence (AI), is increasingly being applied in various industries, including livestock farming. Identifying and managing livestock through machine learning is essential to improve efficiency and animal welfare. The aim of this work is to automatically identify individual sheep or goats based on their physical characteristics including muzzle pattern, coat pattern, or ear pattern. The proposed intelligent classifier was built on the Roboflow platform using the YOLOv8 model, trained with 35,204 images. Initially, a Convolutional Neural Network (CNN) model was developed, but its performance was not optimal. The pre-trained VGG16 model was then adapted, and additional fine-tuning was performed using data augmentation techniques. The dataset was split into training (88%), validation (8%), and test (4%) sets. The performance of the classifier was evaluated using precision, recall, and F1-Score metrics, with comparisons against other pre-trained models such as EfficientNet. The YOLOv8 classifier achieved 95.8% accuracy in distinguishing between goat and sheep images. Compared to the CNN and VGG16 models, the YOLOv8-based classifier showed superior performance in terms of both accuracy and computational efficiency. The results confirm that deep learning models, particularly YOLOv8, significantly enhance the accuracy and efficiency of livestock identification and management. Future research could extend this technology to other livestock species and explore real-time monitoring through IoT integration.
Aircraft Skin Damage Visual Testing System Using Lightweight Devices with YOLO: An Automated Real-Time Material Evaluation System
Authors: Liao Kuo-Chien , Lau Jirayu , Hidayat Muhamad
Published: September 2024

Inspection and material evaluation are some of the critical factors to ensure the structural integrity and safety of an aircraft in the aviation industry. These inspections are carried out by trained personnel, and while effective, they are prone to human error, where even a minute error could result in a large-scale negative impact. Automated detection devices designed to improve the reliability of inspections could help the industry reduce the potential effects caused by human error. This study aims to develop a system that can automatically detect and identify defects on aircraft skin using relatively lightweight devices, including mobile phones and unmanned aerial vehicles (UAVs). The study combines an internet of things (IoT) network, allowing the results to be reviewed in real time, regardless of distance. The experimental results confirmed the effective recognition of defects with the mean average precision (mAP@0.5) at 0.853 for YOLOv9c for all classes. However, despite the effective detection, the test device (mobile phone) was prone to overheating, significantly reducing its performance. While there is still room for further enhancements, this study demonstrates the potential of introducing automated image detection technology to assist the inspection process in the aviation industry.
Young Adults and Allergic Rhinitis: A Population Often Overlooked but in Need of Targeted Help
Authors: Jones Georgina , House Rachel , Bosnic-Anticevich Sinthia , Cheong Lynn , Cvetkovski Biljana
Published: September 2024

Allergic Rhinitis (AR) currently affects 27% of young adults (18–24 years old) in Australia. Although the nature of AR and its management are well-researched in adult and paediatric populations, little is known about young adults. Given the biopsychosocial developmental challenges faced by young adults, this study aims to investigate young adults’ AR management and the source of its influence. A total of 185 young adults with AR in Australia completed an online survey. Seventy-eight percent were female and had a mean age of 21.9 years old. The majority (99%) had moderate to severe symptoms and affected at least one aspect of their quality of life (97%). Despite this, only 11% of participants were using appropriate medications. Parents (50%) were the most common influencer in young adults’ medication use, and general practitioners were most commonly sought for information (63%) and advice (70%). Young adults do not manage their AR with appropriate medications despite consulting healthcare providers, and this was reflected in the heavy burden reported on their quality of life. This study bridges our gap in understanding and shows that young adults lack developmentally appropriate support to equip them with the health literacy skills required to transition into adult healthcare.
Facilitation of Evolution by Plasticity Scales with Phenotypic Complexity
Authors: Burtsev Mikhail , Anokhin Konstantin , Bateson Patrick
Published: September 2024

Developmental plasticity enables organisms to cope with new environmental challenges. If deploying such plasticity is costly in terms of time or energy, the same adaptive behaviour could subsequently evolve through piecemeal genomic reorganisation that replaces the requirement to acquire that adaptation by individual plasticity. Here, we report a new dimension to the way in which plasticity can drive evolutionary change, leading to an ever-greater complexity in biological organisation. Plasticity dramatically accelerates the evolutionary accumulation of adaptive systems in model organisms with relatively low rates of mutation. The effect of plasticity on the evolutionary growth of complexity is even greater when the number of elements needed to construct a functional system is increased. These results suggest that, as the difficulty of challenges from the environment becomes greater, plasticity exerts an ever more powerful role in meeting those challenges and in opening up new avenues for the subsequent evolution of complex adaptations.
Isoorientin Promotes Early Porcine Embryonic Development by Alleviating Oxidative Stress and Improving Lipid Metabolism
Authors: Meng Zilong , Ren Jiajun , Huang Chuman , Huang Huimei , Yuan Xiuwen , Li Yinghua , Kim Nam-Hyung , Xu Yongnan
Published: September 2024

Isoorientin (ISO) is a natural lignan glycoside flavonoid found in various plants, including Charcot and Stonecrop. ISO exhibits diverse physiological and pharmacological effects, such as antioxidative, anti-inflammatory, hepatoprotective, antiviral, antianxiety, and anti-myocardial ischaemic properties, as well as lipid metabolism regulation. This study investigated the impact of ISO supplementation on oxidative stress and lipid accumulation in porcine early embryos, along with its underlying mechanisms. Porcine embryos were cultured in vitro under different concentrations of ISO (0, 1, 10, and 100 nM). The results revealed that 10 nM ISO significantly enhanced the blastocyst rate and total embryonic cell count in vitro. ISO-treated embryos exhibited reduced reactive oxygen species levels and elevated glutathione levels compared to the untreated group. In addition, ISO treatment significantly increased the expression of the key antioxidant regulator Nrf2, improved mitochondrial function, and reduced lipid droplet accumulation. Concurrently, early embryo autophagy and apoptosis levels decreased. Furthermore, ISO treatment upregulated antioxidant-related genes (SOD1, SOD2, and CAT) and mitochondrial biogenesis related genes (NRF1, NRF2, and SIRT1), while downregulating lipid synthesis-related genes (SREBP1 and FASN). Additionally, lipid hydrolysis-related genes (ACADS) were elevated. These findings collectively suggest that ISO may facilitate early embryonic development in pigs by ameliorating oxidative stress and lipid metabolism.
The Detection of Physiological Changes Using a Triaxial Accelerometer and Temperature Sensor-Equipped Bolus-Type Biosensor in Calves
Authors: Hong Leegon , Ro Younghye , Kimura Atsushi , Choi Woojae , Kim Danil
Published: September 2024

In this study, a newly developed small wireless bolus biosensor, equipped with a triaxial accelerometer and temperature sensors, was applied to assess physiological changes in calves. The biosensor was orally implanted in calves, and its retention rate and location in the forestomach were examined. Data transmitted at 10 min intervals were analyzed to determine the characteristics of the calves at 10 and 100 days of age. Additionally, the daily averages of the vector magnitude (DV), changes in V over time (DV1), and reticular temperature (DRT) were analyzed during the experimental period. The biosensor was orally administered to twelve calves (six beef and six dairy) within 22 days of birth. Except for two regurgitated devices, the sensors transmitted data normally in a wireless manner for 15 weeks, recording physiological changes in the calves. The location of the biosensors was confirmed to be the reticulum. The analysis revealed that the V and V1 values were influenced by the physical characteristics of the biosensor’s location. During weaning, DV and DV1 values first increased and then decreased compared to pre-weaning, while the DRT increased post-weaning and remained elevated. These findings suggest that these types of biosensors can be used for monitoring calf health; however, further research is needed to determine their ability to detect pathological states.
Clicker Training in Minipigs to Reduce Stress during Blood Collection—An Example of Applied Refinement
Authors: Fiderer Delia , Thoene-Reineke Christa , Wiegard Mechthild
Published: September 2024

Pigs (and minipigs) are often restrained with a maxillary sling for blood collection. They mainly produce strong vocalisations and show resistance to the procedure, which subjectively appears to be stressful for the animals. The present study investigated whether minipigs can be trained to tolerate aversive stimuli and whether training can reduce stress during blood collection. Blood was taken from 12 Ellegaard minipigs with fixation; thereafter, the animals were trained for 3 weeks using clicker training. Then, blood was taken again, but without fixation. Before and after each blood sample, saliva samples were taken. The cortisol concentration was determined using ELISAs. Serum cortisol was not significantly different before and after training (paired-sample t-test, t (9) = 2.052, p = 0.07). However, salivary cortisol was significantly lower after training (ANOVA (analysis of variance), p-value < 0.001, F-value 6.181). In addition, trained minipigs showed a significantly lower heart rate after blood sampling (paired-sample t-test, t (11) = 4.678, p = 0.001) as well as significantly lower heart rate variability (t (11) = 3.704, p = 0.003) compared to before training. The minipigs could be trained to tolerate aversive stimuli. This contributed to stress reduction when taking blood samples.
Programming and Setting Up the Object Detection Algorithm YOLO to Determine Feeding Activities of Beef Cattle: A Comparison between YOLOv8m and YOLOv10m
Authors: Guarnido-Lopez Pablo , Ramirez-Agudelo John-Fredy , Denimal Emmanuel , Benaouda Mohammed
Published: September 2024

This study highlights the importance of monitoring cattle feeding behavior using the YOLO algorithm for object detection. Videos of six Charolais bulls were recorded on a French farm, and three feeding behaviors (biting, chewing, visiting) were identified and labeled using Roboflow. YOLOv8 and YOLOv10 were compared for their performance in detecting these behaviors. YOLOv10 outperformed YOLOv8 with slightly higher precision, recall, mAP50, and mAP50-95 scores. Although both algorithms demonstrated similar overall accuracy (around 90%), YOLOv8 reached optimal training faster and exhibited less overfitting. Confusion matrices indicated similar patterns of prediction errors for both versions, but YOLOv10 showed better consistency. This study concludes that while both YOLOv8 and YOLOv10 are effective in detecting cattle feeding behaviors, YOLOv10 exhibited superior average performance, learning rate, and speed, making it more suitable for practical field applications.
Different Oxidative Stress and Inflammation Patterns of Diseased Left Anterior Descending Coronary Artery versus Internal Thoracic Artery
Authors: Salica Andrea , Cammisotto Vittoria , Scaffa Raffaele , Folino Giulio , De Paulis Ruggero , Carnevale Roberto , Benedetto Umberto , Saade Wael , Marullo Antonino , Sciarretta Sebastiano , Sarto Gianmarco , Palmerio Silvia , Valenti Valentina , Peruzzi Mariangela , Miraldi Fabio , Irace Francesco Giosuè , Frati Giacomo
Published: September 2024

Background. Oxidative stress and inflammation are typically implied in atherosclerosis pathogenesis and progression, especially in coronary artery disease (CAD). Our objective was to investigate the oxidative stress and inflammation burden directly associated with atherosclerotic plaque in patients with stable coronary disease undergoing coronary artery bypass graft (CABG) surgery. Specifically, markers of oxidative stress and inflammation were compared in blood samples obtained from the atherosclerotic left anterior descending artery (LAD) and blood samples obtained from the healthy left internal thoracic artery (LITA), used as a bypass graft, within the same patient. Methods. Twenty patients scheduled for off-pump CABG were enrolled. Blood samples were collected from the LITA below anastomosis and the LAD below the stenosis. Samples were analysed for oxidative stress (sNOXdp, H2O2, NO) and inflammation markers (TNFα, IL-6, IL-1β, IL-10). Results. The analysis showed a significant increase in oxidative stress burden in the LAD as compared to LITA, as indicated by higher sNOX2-dp and H2O2 levels and lower NO levels (p < 0.01). Also, pro-inflammatory cytokines were increased in the LAD as compared to the LITA, as indicated by higher TNFα and IL-6 amounts (p < 0.01). On the other hand, no significant differences could be seen regarding IL-1β and IL-10 levels between the two groups. Conclusions. The oxidative stress and inflammatory burden are specifically enhanced in the LAD artery of stable coronary patients compared to systemic blood from the LITA of stable coronary patients.
A Single-Cell Atlas of the Substantia Nigra Reveals Therapeutic Effects of Icaritin in a Rat Model of Parkinson’s Disease
Authors: Wu Hao , Zhang Zhen-Hua , Zhou Ping , Sui Xin , Liu Xi , Sun Yi , Zhao Xin , Pu Xiao-Ping
Published: September 2024

Degeneration and death of dopaminergic neurons in the substantia nigra of the midbrain are the main pathological changes in Parkinson’s disease (PD); however, the mechanism underlying the selective vulnerability of specific neuronal populations in PD remains unclear. Here, we used single-cell RNA sequencing to identify seven cell clusters, including oligodendrocytes, neurons, astrocytes, oligodendrocyte progenitor cells, microglia, synapse-rich cells (SRCs), and endothelial cells, in the substantia nigra of a rotenone-induced rat model of PD based on marker genes and functional definitions. We found that SRCs were a previously unidentified cell subtype, and the tight interactions between SRCs and other cell populations can be improved by icaritin, which is a flavonoid extracted from Epimedium sagittatum Maxim. and exerts anti-neuroinflammatory, antioxidant, and immune-improving effects in PD. We also demonstrated that icaritin bound with transcription factors of SRCs, and icaritin application modulated synaptic characterization of SRCs, neuroinflammation, oxidative stress, and survival of dopaminergic neurons, and improved abnormal energy metabolism, amino acid metabolism, and phospholipase D metabolism of astrocytes in the substantia nigra of rats with PD. Moreover, icaritin supplementation also promotes the recovery of the physiological homeostasis of the other cell clusters to delay the pathogenesis of PD. These data uncovered previously unknown cellular diversity in a rat model of Parkinson’s disease and provide insights into the promising therapeutic potential of icaritin in PD.
Antidiabetic and Antigout Properties of the Ultrasound-Assisted Extraction of Total Biflavonoids from Selaginella doederleinii Revealed by In Vitro and In Silico Studies
Authors: Gao Qiong , Qiao Lei , Hou Yiru , Ran Hailin , Zhang Feng , Liu Chao , Kuang Juxiang , Deng Shixing , Jiang Yongmei , Wang Gang , Zhang Xin
Published: September 2024

In this study, the extraction, purification and metabolic enzyme inhibition potential of Selaginella doederleinii were investigated. In order to extract the total biflavonoids from S. doederleinii (SDTBs), the optimum extraction process was obtained by optimizing the ultrasonic extraction parameters using response-surface methodology. This resulted in a total biflavonoid content of 22.26 ± 0.35 mg/g. Purification of the S. doederleinii extract was carried out using octadecylsilane (ODS), and the transfer rate of the SDTBs was 82.12 ± 3.48% under the optimum purification conditions. We determined the effect of the SDTBs on α-glucosidase (AG), α-amylase and xanthine oxidase (XOD) and found that the SDTBs had an extremely potent inhibitory effect on AG, with an IC50 value of 57.46 μg/mL, which was much lower than that of the positive control. Meanwhile, they also showed significant inhibition of XOD and α-amylase, with IC50 values of 289.67 μg/mL and 50.85 μg/mL, respectively. In addition, molecular docking studies were carried out to understand the nature of the action of the biflavonoids on AG and XOD. The results showed that robustaflavone had the lowest binding energy to AG (−11.33 kcal/mol) and XOD (−10.21 kcal/mol), while, on the other hand, amentoflavone showed a good binding affinity to AG (−10.40 kcal/mol) and XOD (−9.962 kcal/mol). Moreover, molecular dynamics simulations verified the above results.
Effects of Astaxanthin on the Physiological State of Porcine Ovarian Granulose Cells Cultured In Vitro
Authors: Yang Xiaofen , Zhou Dongping , Gao Lv , Wang Yanxin , Wang Yun , Jia Ruru , Bai Yuwei , Shi Deshun , Lu Fenghua
Published: September 2024

The physiological state of Granulosa cells (GCs) is intricately linked to the growth and development of oocytes. Oxidative stress has been found to cause damage to GCs in vitro. Astaxanthin (AST), a well-known natural ketone-type carotenoid, has demonstrated strong antioxidant properties. This study investigates the impact of astaxanthin supplementation on the physiological state of porcine ovarian granulosa cells cultured in vitro. Variations in morphology, apoptosis, reactive oxygen species (ROS) levels, and the expression of apoptosis and anti-oxidation-related genes in porcine GCs from different passages were observed. Significant morphological changes, increases in apoptosis, and decreases in antioxidant capacity resulting from passage were observed. Subsequently, treatment with 5 μmol/L astaxanthin significantly enhanced cell viability, proliferation, antioxidant capacity and mitochondrial function while also regulating the estradiol (E2) and progesterone (P4) levels. Additionally, the gene expression of antioxidation, E2, and P4 synthesis markers was assessed, revealing reduced apoptosis and ROS levels in porcine GCs. In conclusion, supplementation with 5 μmol/L astaxanthin in vitro effectively enhances the physiological condition of porcine GCs and optimizes the culture system for these cells in vitro. Optimizing the culture system of porcine GCs in vitro can simulate the function of granulosa cells in vivo and provide a theoretical reference for further promoting follicular development, which is beneficial to improving sow fertility in actual production.
Silibinin Suppresses Inflammatory Responses Induced by Exposure to Asian Sand Dust
Authors: Lee Se-Jin , Pak So-Won , Kim Woong-Il , Park Sin-Hyang , Cho Young-Kwon , Ko Je-Won , Kim Tae-Won , Kim Joong-Sun , Kim Jong-Choon , Lim Je-Oh , Shin In-Sik
Published: September 2024

Asian sand dust (ASD), generated from the deserts of China and Mongolia, affects Korea and Japan during spring and autumn, causing harmful effects on various bio-organs, including the respiratory system, due to its irritants such as fine dust, chemicals, and toxic materials. Here, we investigated the therapeutic effects of silibinin against ASD-induced airway inflammation using mouse macrophage-like cell line RAW264.7 and a murine model. ASD was intranasally administered to mice three times a week and silibinin was administered for 6 days by oral gavage. In ASD-stimulated RAW264.7 cells, silibinin treatment decreased tumor necrosis factor-α production and reduced the expression of p-p65NF-κB, p-p38, and cyclooxygenase (COX)-2, while increasing heme oxygenase (HO)-1 expression. In ASD-exposed mice, silibinin administration reduced inflammatory cell count and cytokines in bronchoalveolar lavage fluid and decreased inflammatory cell infiltration in lung tissue. Additionally, silibinin lowered oxidative stress, as evidenced by decreased 8-hydroxy-2’-deoxyguanosin (8-OHdG) expression and increased HO-1 expression. The expression of inflammatory-related proteins, including p-p65NF-κB, COX-2, and p-p38, was markedly reduced by silibinin administration. Overall, silibinin treatment reduced the expression of p-p65NF-κB, COX-2, and p-p38 in response to ASD exposure, while increasing HO-1 expression both in vitro and in vivo. These findings suggest that silibinin mitigates pulmonary inflammation caused by ASD exposure by reducing inflammatory signaling and oxidative stress, indicating its potential as a therapeutic agent for ASD-induced pulmonary inflammation.
Optimization and Bioactive Evaluation of Bifurcaria bifurcata Antioxidant-Rich Extracts for Functional Food and Pharmaceutical Applications
Authors: Silva Aurora , Carpena Maria , Cassani Lucia , Grosso Clara , Garcia-Oliveira Paula , Delerue-Matos Cristina , Simal-Gandara Jesus , Barroso Maria Fatima , Prieto Miguel A.
Published: September 2024

In recent years, consumers have been increasingly interested in natural, healthier, functional foods, with a focus on sea-based products such as algae. Bifurcaria bifurcata (BB) is a macroalga that belongs to the Phaeophyceae class. These brown algae are recognized as the source of bioactive molecules of great interest to the pharmaceutical and nutraceutical industries. The present work applied response surface methodology to optimize the microwave-assisted extraction of the poorly studied algae. The optimization variables were time, pressure, and solvent composition (ethanol/water) and the response parameters selected were yield, total phenolic and flavonoid content, and the antioxidant profile by evaluating DPPH•+, ABTS•+ scavenging activity, and β-carotene discoloration capacity. The results obtained reveal remarkable bioactivity of the crude extract of BB with positive results as an antioxidant and antimicrobial agent. Furthermore, the BB extract’s capacity to inhibit enzymes related to neurodegenerative diseases and its anti-inflammatory and anti-proliferation activity open the possibility of future food or pharmaceutical applications.
Development of Machine Learning and Deep Learning Prediction Models for PM2.5 in Ho Chi Minh City, Vietnam
Authors: Nguyen Phuc Hieu , Dao Nguyen Khoi , Nguyen Ly Sy Phu
Published: September 2024

The application of machine learning and deep learning in air pollution management is becoming increasingly crucial, as these technologies enhance the accuracy of pollution prediction models, facilitating timely interventions and policy adjustments. They also facilitate the analysis of large datasets to identify pollution sources and trends, ultimately contributing to more effective and targeted environmental protection strategies. Ho Chi Minh City (HCMC), a major metropolitan area in southern Vietnam, has experienced a significant rise in air pollution levels, particularly PM2.5, in recent years, creating substantial risks to both public health and the environment. Given the challenges posed by air quality issues, it is essential to develop robust methodologies for predicting PM2.5 concentrations in HCMC. This study seeks to develop and evaluate multiple machine learning and deep learning models for predicting PM2.5 concentrations in HCMC, Vietnam, utilizing PM2.5 and meteorological data over 911 days, from 1 January 2021 to 30 June 2023. Six algorithms were applied: random forest (RF), extreme gradient boosting (XGB), support vector regression (SVR), artificial neural network (ANN), generalized regression neural network (GRNN), and convolutional neural network (CNN). The results indicated that the ANN is the most effective algorithm for predicting PM2.5 concentrations, with an index of agreement (IOA) value of 0.736 and the lowest prediction errors during the testing phase. These findings imply that the ANN algorithm could serve as an effective tool for predicting PM2.5 concentrations in urban environments, particularly in HCMC. This study provides valuable insights into the factors that affect PM2.5 concentrations in HCMC and emphasizes the capacity of AI methodologies in reducing atmospheric pollution. Additionally, it offers valuable insights for policymakers and health officials to implement targeted interventions aimed at reducing air pollution and improving public health.
Feasibility and Affordability of Low-Cost Air Sensors with Internet of Things for Indoor Air Quality Monitoring in Residential Buildings: Systematic Review on Sensor Information and Residential Applications, with Experience-Based Discussions
Authors: Yu Yong , Gola Marco , Settimo Gaetano , Buffoli Maddalena , Capolongo Stefano
Published: September 2024

In residential buildings that are private, autonomous, and occupied spaces for most of the time, it is necessary to maintain good indoor air quality (IAQ), especially when there are children, elderly, or other vulnerable users. Within the development of sensors, their low-cost features with adequate accuracy and reliability, as well as Internet of Things applications, make them affordable, flexible, and feasible even for ordinary occupants to guarantee IAQ monitoring in their homes. This systematic review searched papers based on Scopus and Web of Science databases about the Low-Cost Sensors (LCS) and IoT applications in residential IAQ research, and 23 studies were included with targeted research contents. The review highlights several aspects of the active monitoring strategies in residential buildings, including the following: (1) Applying existing appropriate sensors and their target pollutants; (2) Applying micro-controller unit selection; (3) Sensors and devices’ costs and their monitoring applications; (4) Data collection and storage methods; (5) LCS calibration methods in applications. In addition, the review also discussed some possible solutions and limitations of LCS applications in residential buildings based on the applications from the included works and past device development experiences.
Effects of Wildfire Smoke on Volatile Organic Compound (VOC) and PM2.5 Composition in a United States Intermountain Western Valley and Estimation of Human Health Risk
Authors: Ketcherside Damien T. , Miller Dylan D. , Kenerson Dalynn R. , Scott Phillip S. , Andrew John P. , Bakker Melanie A. Y. , Bundy Brandi A. , Grimm Brian K. , Li Jiahong , Nuñez Laurel A. , Pittman Dorian L. , Uhlorn Reece P. , Johnston Nancy A. C.
Published: September 2024

With a warmer and drier climate, there has been an increase in wildfire events in the Northwest U.S., posing a potential health risk to downwind communities. The Lewis–Clark Valley (LCV), a small metropolitan area on the Washington/Idaho border in the United States Intermountain West region, was studied over the time period of 2017–2018. The main objective was to determine the community’s exposure to particulate matter (PM2.5) and volatile organic compounds (VOCs) during wildfire smoke events and to estimate the associated health risk. VOCs were analyzed previously in the LCV using sorbent tube sampling and thermal-desorption gas-chromatography mass-spectrometry (TD-GC-MS) during several local smoke events in the 2017–2018 fire seasons. PM2.5 measurements were obtained from nearby agency monitors. PM2.5 reached up to 200 µg/m3 in 2017 and over 100 µg/m3 in 2018 in the LCV, and has been observed to be increasing at a rate of 0.10 µg m−3/yr over the past two decades. Benzene, a carcinogen and air toxic, was measured with concentrations up to 11 µg/m3, over ten times the normal level in some instances, in the LCV. The health risk in the LCV from benzene was calculated at seven extra cancers per million for lifetime exposure and thirteen extra cancers per million considering all air toxics measured. The other cities monitored showed similar lifetime cancer risk, due to benzene of about 6–7 extra cancers per million. This work is important, as it measures ground-level exposures of VOCs and demonstrates decreases in PM2.5 air quality over time in the region.
Simulated Directional Wave Spectra of the Wind Sea and Swell under Typhoon Mangkhut
Authors: Yan Yu , Hu Mengxi , Ni Yugen , Qiu Chunhua
Published: September 2024

A third-generation wave model is driven by the synthetic wind field combined with the revised Holland wind and surface wind product from the National Centers for Environmental Prediction (NCEP). The temporal and spatial characteristics of the wind waves and swell during the typhoon are studied, as well as the responses of their wave energy spectra to the source terms. The results show that the typhoon waves have a more complicated asymmetric structure than the wind field, and the maximum significant wave height is always located on the right side of the direction along which the typhoon is moving, where wind waves are dominant, due to the extended fetch. The nonlinear wave–wave interaction helps to redistribute the energy of the wind seas at a high frequency to the remotely generated swells at a low frequency, ensuring that the typhoon wave’s energy spectrum remains unimodal. This process occurs in regions without extended fetch, and a similar continued downshift in frequency as the wave–wave interaction occurs for the wind input as well when the waves outrun the typhoon, due to the nonlinear coupling between the wind and growing swells.
A Comprehensive Flow–Mass–Thermal–Electrochemical Coupling Model for a VRFB Stack and Its Application in a Stack Temperature Control Strategy
Authors: Yin Chen , Lu Mengyue , Ma Qiang , Su Huaneng , Yang Weiwei , Xu Qian
Published: September 2024

In this work, a comprehensive multi-physics electrochemical hybrid stack model is developed for a vanadium redox flow battery (VRFB) stack considering electrolyte flow, mass transport, electrochemical reactions, shunt currents, and as heat generation and transfer simultaneously. Compared with other VRFB stack models, this model is more comprehensive in considering the influence of multiple factors. Based on the established model, the electrolyte flow rate distribution across cells in the stack is investigated. The distribution and variation in shunt currents, single-cell current and single-cell voltage are analyzed. The distribution and variation in temperature and heat generation and heat transfer are also researched. It can be found that the VRFB stack temperature will exceed 40 °C when operating at 60 A and 100 mA cm−2 at an ambient temperature of 30 °C, which will lead to electrolyte ion precipitation, affecting the performance and safety of the battery. To control the stack temperature below 40 °C, a new tank cooling control strategy is proposed, and the suitable starting cooling point and the controlled temperature are specified. Compared with the common room cooling strategy, the new tank cooling strategy reduces energy consumption by 27.18% during 20 charge–discharge cycles.
Impact of Nitrogen Supplementation and Reduced Particle Size on Alcoholic Fermentation and Aroma in Nitrogen-Poor Apple and Pear Mashes
Authors: Schön Ana , Switulla Julia , Luksch Larissa , Pesl Julia , Kölling Ralf , Einfalt Daniel
Published: September 2024

The aim of this study was to enhance the nitrogen supply through three different mash treatments and to investigate their effects on fermentation dynamics, yeast biomass accumulation, and the concentration of aroma-active volatiles in nitrogen-poor apple and pear mashes. In terms of nitrogen supplementation, the addition of diammonium phosphate (DAP) and amino acids (AS) accelerated fermentation and reduced the fermentation duration by 4–6 days in three out of four investigated fruit varieties. One pear variety showed sluggish fermentation, which was slightly improved by reducing the particle size (<3 mm) and significantly improved by nitrogen addition. Notably, AS supplementation resulted in a significant reduction in residual sugar concentrations and led to the highest yeast biomass accumulation across all four fruit mashes. Nitrogen supplementation significantly altered the composition of aroma-active volatiles, notably by increasing higher alcohols such as propyl alcohol, 2-methylpropanol, isoamyl alcohol, and 2-methylbutanol. The addition of AS was more effective in increasing higher alcohols, such as isoamyl alcohol and phenethyl alcohol, while decreasing the off-flavor acetaldehyde.
Featured Papers in Computer Methods in Biomedicine
Authors: Mesin Luca
Published: September 2024

Recent years have seen progress in the intersection of computer science and biomedicine, progress that has led to significant advancements in healthcare diagnostics, treatment, and patient care [...]
De-Epithelization of the Human Amniotic Membrane Using a System Involving Ozonated Water and Ultrasound
Authors: Santos Francisco Dimitre Rodrigo Pereira , Kawata Bianca Akemi , Oliveira Heinzelmann Tatiana Regina de , Belfort Marcia Guelma Santos , Crispim de Oliveira Carvalho Maycon , Móbille Awoyama Sílvia , Gomes de Oliveira Neto João , José de Lima Carlos , Barrinha Fernandes Adriana
Published: September 2024

The aim of this study was to evaluate whether a system involving ozonated water and ultrasound causes de-epithelization of the human amniotic membrane (HAM). The experiment protocol was carried out in four stages. Stage I was carried out to determine the duration of the experiment. Stage II comprised the first experiment, involving four groups of samples studied in triplicate: control/natural (IN), processed with ultrasound in a liquid medium (US), processed with ozonated water (O3), and processed with ozonated water combined with ultrasound (US_O3). Stage III was performed to confirm the results, following the same steps present in Stage II. Stage IV involved the use of oxygen to confirm the hypothesis. Histological analysis was carried out to verify whether the effects of O2 were similar to those of O3. The system was activated, and ozonation was carried out for 10 min, as in the previous experiment, reaching a concentration level of 3.0 mg/L. The samples were submerged and positioned in the reservoir and processed separately for 55 min. The biochemical properties were assessed using Fourier transform infrared spectroscopy, and the morphology was examined using histology and scanning electron microscopy. The spectra of the samples exhibited similarities; however, subtle changes were highlighted, such as smooth band shifts and intensity changes. The morphology indicated that ultrasound achieved more efficient HAM de-epithelialization compared to ultrasound combined with ozonated water and ozonated water alone. One plausible hypothesis for this observation is that cavitation represents the primary mechanism responsible for de-epithelialization. When ultrasound is combined with ozone, the bubbles generated by ozone gas reduce the cavitation effect. This study is pioneering as it demonstrates an ultrasound system capable of the efficient de-epithelialization of the HAM.
A Longitudinal Model for a Dynamic Risk Score to Predict Delayed Cerebral Ischemia after Subarachnoid Hemorrhage
Authors: Willms Jan F. , Inauen Corinne , Bögli Stefan Yu , Muroi Carl , Boss Jens M. , Keller Emanuela
Published: September 2024

Background: Accurate longitudinal risk prediction for DCI (delayed cerebral ischemia) occurrence after subarachnoid hemorrhage (SAH) is essential for clinicians to administer appropriate and timely diagnostics, thereby improving treatment planning and outcome. This study aimed to develop an improved longitudinal DCI prediction model and evaluate its performance in predicting DCI between day 4 and 14 after aneurysm rupture. Methods: Two DCI classification models were trained: (1) a static model based on routinely collected demographics and SAH grading scores and (2) a dynamic model based on results from laboratory and blood gas analysis anchored at the time of DCI. A combined model was derived from these two using a voting approach. Multiple classifiers, including Logistic Regression, Support Vector Machines, Random Forests, Histogram-based Gradient Boosting, and Extremely Randomized Trees, were evaluated through cross-validation using anchored data. A leave-one-out simulation was then performed on the best-performing models to evaluate their longitudinal performance using time-dependent Receiver Operating Characteristic (ROC) analysis. Results: The training dataset included 218 patients, with 89 of them developing DCI (41%). In the anchored ROC analysis, the combined model achieved a ROC AUC of 0.73 ± 0.05 in predicting DCI onset, the static and the dynamic model achieved a ROC AUC of 0.69 ± 0.08 and 0.66 ± 0.08, respectively. In the leave-one-out simulation experiments, the dynamic and voting model showed a highly dynamic risk score (intra-patient score range was 0.25 [0.24, 0.49] and 0.17 [0.12, 0.25] for the dynamic and the voting model, respectively, for DCI occurrence over the course of disease. In the time-dependent ROC analysis, the dynamic model performed best until day 5.4, and afterwards the voting model showed the best performance. Conclusions: A machine learning model for longitudinal DCI risk assessment was developed comprising a static and a dynamic sub-model. The longitudinal performance evaluation highlighted substantial time dependence in model performance, underscoring the need for a longitudinal assessment of prediction models in intensive care settings. Moreover, clinicians need to be aware of these performance variations when performing a risk assessment and weight the different model outputs correspondingly.
Therapeutic Efficacy of Adipose Tissue-Derived Components in Neuropathic Pain: A Systematic Review
Authors: Claessens Anouk A. E. , Vriend Linda , Ovadja Zachri N. , Harmsen Martin C. , van Dongen Joris. A. , Coert J. Henk
Published: September 2024

Background: Neuropathic pain results from a defect in the somatosensory nervous system caused by a diversity of etiologies. The effect of current treat-ment with analgesics and surgery is limited. Studies report the therapeutic use of adipose tissue-derived components to treat neuropathic pain as a new treatment modality. Objective: The aim of this systematic review was to investigate the therapeutic clinical efficacy of adipose tissue-derived components on neuro-pathic pain. Methods: PubMed, Medline, Cochrane and Embase databases were searched until August 2023. Clinical studies assessing neuropathic pain after autologous fat grafting or the therapeutic use of adipose tissue-derived com-ponents were included. The outcomes of interest were neuropathic pain and quality of life. Results: In total, 433 studies were identified, of which 109 dupli-cates were removed, 324 abstracts were screened and 314 articles were excluded. In total, ten studies were included for comparison. Fat grafting and cellular stromal vascular fraction were used as treatments. Fat grafting indications were post-mastectomy pain syndrome, neuromas, post-herpetic neuropathy, neuro-pathic scar pain and trigeminal neuropathic pain. In seven studies, neuropathic pain levels decreased, and overall, quality of life did not improve. Conclusions: The therapeutic efficacy of adipose tissue-derived components in the treatment of neuropathic pain remains unclear due to the few performed clinical trials with small sample sizes for various indications. Larger and properly designed (randomized) controlled trials are required.
Quantifying the Ecological Performance of Migratory Bird Conservation: Evidence from Poyang Lake Wetlands in China
Authors: Song Zhenjiang , Gao Shichao , Leng Mingni , Zhou Bo , Wu Baoshu
Published: September 2024

Protected areas are essential for the conservation of biodiversity. However, the rapid expansion of urbanization and the intensification of human activities have significantly disrupted environmental integrity, leading to a continuous deterioration in both the quantity and quality of large ecological patches. This has further diminished the connectivity among ecological patches, leading to significant consequences for regional biodiversity conservation. Taking Poyang Lake as a case study, which serves as a crucial wintering habitat for migratory birds along the East Asia–Australasia flyway, this research employs ArcMap technology. It considers various factors including land use type, slope, and elevation to evaluate habitat quality and degradation through the application of the InVEST model. Additionally, the study utilizes the minimum cumulative resistance (MCR) model alongside circuit theory to delineate ecological corridors within the area and to establish a comprehensive ecological network system. The research results in this paper are as follows. (i) During the period from 2000 to 2020, there was an overall decline in habitat quality within the study area, indicating a clear trend of habitat degradation. However, it is worth noting that there was an increase in habitat quality in certain local areas within the protected area. (ii) The ecological resistance values in the core area of the migratory bird reserve in Poyang Lake are generally low. However, the ecological resistance values of the habitats have shown a consistent increase from 2000 to 2020. Additionally, there has been a significant decrease in the density of ecological corridors during this time period. (iii) Over the period from 2000 to 2020, both the number and connectivity of ecological corridors decreased and their integrity and functionality degraded. Consequently, this weakened role of the ecological network has had implications for maintaining regional biodiversity and ecosystem service functions. The findings indicate two conclusions. (i) Ecological connectivity is essential for the conservation of migratory bird habitats. Strengthening control measures aimed at expanding ecological corridors can effectively safeguard flagship and umbrella species, thereby promoting biodiversity conservation. (ii) The establishment of ecological corridors can help reconcile conflicts between conservation efforts and development objectives. This reconciliation carries significant theoretical implications for fostering a harmonious coexistence between humans and birds in Poyang Lake’s migratory bird sanctuary.