bluuebunny/crossref_metadata_2025 huggingface dataset:
Metal Element Traces Sampled from Peri-Urban Road Verge Particulate Matter
Authors: Popa Rareș-Mihăiță , Mustață Dan-Marius , Ionel Ioana , Balogh Ramon-Mihai
Published: October 2023

The objective of this research is to analyze metal elements, such as Na (sodium), Mg (magnesium), Al (aluminum), Si (silicon), Pb (lead), K (potassium), Ca (calcium), and Fe (iron), found in dust particles within two distinct areas from which the samplings were taken. The first sampling was taken from the road verge of a highly trafficked road section, while the second sampling was taken from a residential garden area 90 m away from the road. Several metal elements were detected with a high difference in Si, which presented higher concentrations in the dust samples from the road verge area. Pb has only been detected in the samples taken from the road verge, which could be explained by residual remnants from old lead gasoline and wheel weights. Additionally, during the same investigation, airborne particulate matter (PM) concentrations were measured in comparison between the road verge and the garden area; this presented a substantial difference in the concentration levels, suggesting that dense vegetation is protecting and blocking a majority of airborne PM. A literature highlight of the health effects of different metal elements and PM concentrations is presented.
A Novel Dual Mixing Attention Network for UAV-Based Vehicle Re-Identification
Authors: Yin Wenji , Peng Yueping , Ye Zecong , Liu Wenchao
Published: October 2023

Vehicle re-identification research under surveillance cameras has yielded impressive results. However, the challenge of unmanned aerial vehicle (UAV)-based vehicle re-identification (ReID) presents a high degree of flexibility, mainly due to complicated shooting angles, occlusions, low discrimination of top–down features, and significant changes in vehicle scales. To address this, we propose a novel dual mixing attention network (DMANet) to extract discriminative features robust to variations in viewpoint. Specifically, we first present a plug-and-play dual mixing attention module (DMAM) to capture pixel-level pairwise relationships and channel dependencies, where DMAM is composed of spatial mixing attention (SMA) and channel mixing attention (CMA). First, the original feature is divided according to the spatial and channel dimensions to obtain multiple subspaces. Then, a learnable weight is applied to capture the dependencies between local features in the mixture space. Finally, the features extracted from all subspaces are aggregated to promote their comprehensive feature interaction. In addition, DMAM can be easily plugged into any depth of the backbone network to improve vehicle recognition. The experimental results show that the proposed structure performs better than the representative method in the UAV-based vehicle ReID. Our code and models will be published publicly.
SliceSamp: A Promising Downsampling Alternative for Retaining Information in a Neural Network
Authors: He Lianlian , Wang Ming
Published: October 2023

Downsampling, which aims to improve computational efficiency by reducing the spatial resolution of feature maps, is a critical operation in neural networks. Many downsampling methods have been proposed to address the challenge of retaining feature map information. However, some detailed information is still lost, even though these methods can extract features with stronger semantics. In this paper, we propose a novel downsampling method which combines feature slicing and depthwise separable convolution for information-retaining downsampling. It slices the input feature map into multiple non-overlapping sub-feature maps by using indexes with a stride of two in the spatial dimension and applies depthwise separable convolution on each slice to extract feature information. To demonstrate the effectiveness of SliceSamp, we compare it with classical downsampling methods on image classification, object detection, and semantic segmentation tasks using several benchmark datasets, including ImageNet-1K, COCO, VOC, and ADE20K. Extensive experiments demonstrate that SliceSamp outperforms classical downsampling methods with consistent improvements in various computer vision tasks. The proposed SliceSamp shows advanced model performance with lower computational costs and memory requirements. By replacing the downsampling layers in different network architectures (including ResNet (Residual Network), YOLOv5, and Swin Transformer), SliceSamp brings different degrees of performance gains (+0.54~3.64%) compared to these baseline models. Additionally, SliceUpsamp enables high-resolution feature reconstruction and alignment during upsampling. SliceSamp and SliceUpsamp can be plug-and-play-integrated into existing neural network architectures. As a promising downsampling alternative to traditional methods, SliceSamp can also provide a reference for designing lightweight and high-performance model architectures in the future.
Data-Driven Methods for Design and Analysis of Electromagnetic Devices
Authors: Lei Gang , Guo Youguang , Zhu Jianguo , Zhang Yujiao
Published: October 2023

Electromagnetic devices, such as electrical drive systems for electric vehicles, have been widely employed in domestic and industrial equipment [...]
Impact of COVID-19 on Pregnancy Outcomes across Trimesters in the United States
Authors: Virk Shiza , Gangu Karthik , Nasrullah Adeel , Shah Aaisha , Faiz Zohaa , Khan Umair , Jackson David Bradley , Javed Anam , Farooq Asif , DiSilvio Briana , Cheema Tariq , Sheikh Abu Baker
Published: October 2023

Background: Current knowledge regarding the association between trimester-specific changes during pregnancy and COVID-19 infection is limited. We utilized the National Inpatient Sample (NIS) database to investigate trimester-specific outcomes among hospitalized pregnant women diagnosed with COVID-19. Results: Out of 3,447,771 pregnant women identified, those with COVID-19 exhibited higher in-hospital mortality rates in their third trimester compared with those without the virus. Notably, rates of mechanical ventilation, acute kidney injury, renal replacement therapy, and perinatal complications (preeclampsia, HELLP syndrome, and preterm birth) were significantly elevated across all trimesters for COVID-19 patients. COVID-19 was found to be more prevalent among low-income, Hispanic pregnant women. Conclusions: Our findings suggest that COVID-19 during pregnancy is associated with increased risk of maternal mortality and complications, particularly in the third trimester. Furthermore, we observed significant racial and socioeconomic disparities in both COVID-19 prevalence and pregnancy outcomes. These findings emphasize the need for equitable healthcare strategies to improve care for diverse and socioeconomically marginalized groups, ultimately aiming to reduce adverse COVID-19-associated maternal and fetal outcomes.
Timing of Primary Tooth Eruption in Infants Observed by Their Parents
Authors: Dodo Mina , Ota Chiharu , Ishikawa Motohiro , Koseki Ichie , Sugawara Junichi , Tatsuta Nozomi , Arima Takahiro , Yaegashi Nobuo , Koseki Takeyoshi
Published: October 2023

Background: The timing of primary teeth eruption is a visible indicator of infant physical growth other than body weight or height. It also reflects neurological integrity and development as well as nutrition, socioeconomic state, or underlying diseases. Therefore, the timing of primary teeth eruption is one of the major concerns for parents in health checkups for infants and children. However, the detailed developmental timing of teeth eruption differs depending on the survey methodology, country, or generation. We hypothesized that the timing of primary teeth eruption differs between the medical checkup by dentists and the daily records by parents. Methods: We conducted a questionnaire survey on the date of eruption of primary teeth as an adjunct study among Miyagi Regional Center participants in the Japan Environment and Children’s Study (JECS), a large-scale birth cohort study. A total of 1695 responses (3793 participants) were analyzed. Results: The median ages of eruption were 7.1 months (male) and 7.6 months (female) for mandibular primary central incisors, 8.7 months (male) and 9.2 months (female) for maxillary primary central incisors, 10.0 months (male) and 10.3 months (female) for maxillary primary lateral incisors, and 10.4 months (male) and 10.8 months (female) for mandibular primary lateral incisors, which were earlier than the reported timings based on dental check-ups. Comparing the eruption time of preterm and term infants, the eruption time was earlier in preterm infants in the corrected ages. Conclusions: The eruption timing observed and described by the parents is earlier than that examined by dentists at regular check-ups. In addition to examining the primary teeth eruption of full-term birth children, we also examined that of preterm birth children because of the increasing number of premature births. To the best of our knowledge, this is the first report from a large cohort study to clarify the eruption time of primary teeth monitored by parents.
Effect of Breast Screening Regimen on Breast Cancer Outcomes: A Modeling Study
Authors: Yaffe Martin J. , Mainprize James G.
Published: October 2023

Guidelines vary for the age at which to begin breast cancer screening and the interval between examinations. A validated computer model was used to compare estimated outcomes between various screening regimens. The OncoSim-Breast microsimulation model (Canadian Partnership Against Cancer) was used to simulate a cohort of 1.53 million Canadian women born in 1975. The effect of screening regimen on absolute breast cancer mortality rates, stage at diagnosis, number needed to be screened to avert a breast cancer death or save a life year, abnormal recall rates and negative biopsy rates was examined for unscreened women or those entering screening at age 40 or 50 and screened annually or biennially to age 74. Compared to no screening, absolute mortality reduction was 4.6 (biennial 50–74), 5.9 (biennial 40–74) and 7.9 (annual 40–74) fewer deaths per 1000 women. The absolute rate of diagnosis of advanced cancers (Stage 2, 3 and 4) falls in favor of earlier stages as the number of lifetime screens increases. Annual screening beginning at age 40 until age 74 would provide an additional reduction of 2 and 3.3 breast cancer deaths per 1000 women compared to biennial screening beginning at ages 40 and 50, respectively. There is a corresponding drop in the absolute number of Stage 2, 3 and 4 cancers diagnosed.
High Expression of Fas-Associated Factor 1 Indicates a Poor Prognosis in Non-Small-Cell Lung Cancer
Authors: Hu De , Yamada Hidetaka , Yoshimura Katsuhiro , Ohta Tsutomu , Tsuchiya Kazuo , Inoue Yusuke , Funai Kazuhito , Suda Takafumi , Iwashita Yuji , Watanabe Takuya , Ogawa Hiroshi , Kurono Nobuhito , Shinmura Kazuya , Sugimura Haruhiko
Published: October 2023

Fas-associated factor 1 (FAF1) is a death-promoting protein identified as an interaction partner of the death receptor Fas. The downregulation and mutation of FAF1 have been reported in a variety of human tumors, but there have been few studies on lung cancer. Here, we investigated the prognostic significance of FAF1 expression in non-small-cell lung cancer (NSCLC), and whether aberrant FAF1 expression may be involved in the pathogenesis and prognosis of NSCLC. FAF1 expression was examined in NSCLC specimens as well as human lung cancer cell lines. In addition, changes in cell viability and apoptosis upon regulating FAF1 expression were investigated in lung cancer cell lines. As a result, high FAF1 expression was significantly associated with a poor prognosis in NSCLC. In lung cancer cell lines, FAF1 downregulation hindered cell viability and tended to promote early apoptosis. In conclusion, this is the first study of the clinical significance of FAF1 in NSCLC, showing that FAF1 overexpression is associated with a poor prognosis in NSCLC and that FAF1 acts as a dangerous factor rather than an apoptosis promoter in NSCLC.
Discreteness Unravels the Black Hole Information Puzzle: Insights from a Quantum Gravity Toy Model
Authors: Perez Alejandro , Viollet Sami
Published: October 2023

The black hole information puzzle can be resolved if two conditions are met. The first is that the information about what falls inside a black hole remains encoded in degrees of freedom that persist after the black hole completely evaporates. These degrees of freedom should be capable of purifying the information. The second is if these purifying degrees of freedom do not significantly contribute to the system’s energy, as the macroscopic mass of the initial black hole has been radiated away as Hawking radiation to infinity. The presence of microscopic degrees of freedom at the Planck scale provides a natural mechanism for achieving these two conditions without running into the problem of the large pair-creation probabilities of standard remnant scenarios. In the context of Hawking radiation, the first condition implies that correlations between the in and out Hawking partner particles need to be transferred to correlations between the microscopic degrees of freedom and the out partners in the radiation. This transfer occurs dynamically when the in partners reach the singularity inside the black hole, entering the UV regime of quantum gravity where the interaction with the microscopic degrees of freedom becomes strong. The second condition suggests that the conventional notion of the vacuum’s uniqueness in quantum field theory should fail when considering the full quantum gravity degrees of freedom. In this paper, we demonstrate both key aspects of this mechanism using a solvable toy model of a quantum black hole inspired by loop quantum gravity.
Knowledge, Integration and Scope of Deepfakes in Arts Education: The Development of Critical Thinking in Postgraduate Students in Primary Education and Master’s Degree in Secondary Education
Authors: Murillo-Ligorred Víctor , Ramos-Vallecillo Nora , Covaleda Irene , Fayos Leticia
Published: October 2023

If the appearance of digital images does not coincide with what they look like when they are presented as authentic photos or videos, we must reflect on concepts such as mimesis, truth, Artificial Intelligence and impersonation, something that is currently gaining prominence in the education of teachers and university professors. The current study presents the results of a research focused on the scope and knowledge of the so-called ‘deepfake images’ by the university student body of the Visual and Plastic Education subject, in the Graduate Certificate in Primary Education, and the student body of the Activity Design subject, in the master’s degree in Secondary Education—Specialty in Drawing, in the subject of Activity Design, University of Zaragoza. To do so, a quasi-experimental design with qualitative methodology was used, in which of 100 students participated. As a data collection strategy, reports were used, based on semi-structured questions, for the analysis of the development of critical thinking. The achieved results allow us to verify that deepfakes put forward an innovation in the study by university classrooms. The use of these deepfake representations is a novel issue that generates some moral and ethical controversy due to the different uses it can have, where the age of the interpreter is a differentiating factor for the knowledge and the possibilities that these imaginaries present. Therefore, it is a work area belonging to the field of artistic education on which little exploration and research has been conducted. Based on the obtained results, we conclude that there is currently a better awareness on the part of artistic education, and of education itself, in general terms, regarding the knowledge by the students, the relevance of its use, and the possibilities of these technological tools, both in their creative aspect and their misinformative ones.
Study on the Usefulness of Lean Management Tools and Techniques in Coal Mines in Poland
Authors: Kęsek Marek , Bogacz Paweł , Migza Marcin
Published: October 2023

The article presents research on the possibilities of utilising the Lean Management method to increase the profitability of coal mining operations through cost rationalisation and production optimisation. The Lean Management method has its roots in the automotive industry, but its significant benefits can allow it to be transferred to other industries. Based on the analysis of global literature describing examples of its application in general mining, as well as the authors’ own observations related to Polish hard coal mining, it was determined that the Lean Management method is not being utilised in this field. This article outlines the course and results of an original expert-mathematical study to assess the usefulness of specific Lean Management tools and techniques in hard coal mining. The study drew on knowledge obtained from selected, competent experts who demonstrated high levels of agreement in their assessments. Five core production areas were identified, and twelve widely used Lean Management tools and techniques were selected. The obtained assessments of the usefulness of Lean tools could serve as valuable guidance for mining management in the selection of methods for improving mining production in coal mines.
Optimising Highway Energy Harvesting: A Numerical Simulation Study on Factors Influencing the Performance of Vertical-Axis Wind Turbines
Authors: Lee Oliver Mitchell , Baby Devika Koonthalakadu
Published: October 2023

Vertical-axis wind turbines (VAWTs) are an innovative solution for energy harvesting, as they harness the power of the wind by enabling rotational motion around a vertical shaft situated on the ground. This paper deals with the design optimisation of VAWT systems for highway energy harvesting. The four design parameters, blade number, blade curvature angle, blade thickness and blade diameter ratio, have been investigated to find their respective optimalities for the enhanced energy efficiency of VAWT systems. Computational fluid dynamics (CFD) simulations are conducted in Ansys Fluent using a Banki turbine model created in Solidworks®, with a constant velocity inlet of 4 m/s and rotational speeds ranging from 0.5 to 3 rad/s. The simulations consider the placement of the turbine in the central reservation of a highway with a windshield for enhanced performance. From the results, it was observed that increasing blade thickness and blade number improve turbine performance, with maximum power coefficients achieved at specific tip speed ratios (TSRs). The optimal blade diameter ratio has been found to be approximately 0.75 for TSR values between 0.1 and 0.5, whilst a ratio of 0.83 gave the best performance at higher TSR values. Also, a blade curvature angle of 60 degrees has been found optimal for slow rotations, while 100 degrees yielded the highest power coefficient for faster rotations. The study could also highlight the significance of blade curvature angle variation, resulting in a notable 14% performance increase compared to the baseline. The geometric changes proposed in the study allow for greater power extraction from the same turbine footprint, leading to increased energy efficiency in VAWT systems.
Shielding Strategies for Electric Field Minimization in Current Transformers: A Finite Element Combined Design of Experiment Approach
Authors: Yin Xuzhen , Zeng Jianbin , Guan Qingbo
Published: October 2023

The internal electric field distribution is a key factor to characterize the partial discharge and voltage resistance of current transformers (CTs), and the conical current transformer has a special structure with complex electric field distribution. Therefore, it is more necessary to study, analyze and optimize the electric field distribution of CTs in the design process. In this paper, a new type of current transformer is taken as the research object. A simulation model is established by using finite element software, and the electric field distribution under the test of power-frequency withstand voltage is investigated. Then, a scheme is proposed, and the response surface is used to optimize the scheme. Experimental verification is conducted to validate the results. In this study, the finite element combined design of experiment approach can serve as a rapid and efficient approach for identifying an optimal solution to minimize the electric field strength within a current transformer.
Characterization and Functional Evaluation of NK-lysin from Clownfish (Amphiprion ocellaris)
Authors: Yu Dapeng , Zhao Haohang , Wen Yiming , Li Tao , Xia Hongli , Wang Zhiwen , Gan Zhen , Xia Liqun , Chen Jianlin , Lu Yishan
Published: October 2023

In previous studies, natural killer lysin (NK-lysin) emerged as a crucial antimicrobial peptide (AMP) discharged by NK cells and CTLs. The sequence of NK-lysin was cloned and discovered in some fishes, but its function remains unclear. In our study, we obtained a copy of NK-lysin from the spleen of the healthy clownfish (Amphiprion ocellaris; AoNK-lysin) through cloning and proceeded to investigate its potential functions and activities. The findings showed that the AoNK-lysin gene’s open reading frame (ORF) had a length of 465 base pairs (bp) and encoded 154 amino acids (aa), which included a saposin B domain and six cysteine residues that are highly conserved, forming three intrachain disulfide bonds to carry out antimicrobial activity. The AoNK-lysin gene was widely present in different tissues, with the skin showing the highest expression, followed by the eye, intestine, and muscle. Additionally, the expression of AoNK-lysin was significantly upregulated in the immune organs (spleen, gill, intestine, and head kidney) of A. ocellaris after being challenged by Singapore group iridovirus (SGIV). Furthermore, a 399 base pair cDNA sequence that encodes the fully developed peptide of AoNK-lysin was successfully inserted into a secretion plasmid called pPIC9K. Subsequently, a significant amount of the recombinant AoNK-lysin protein was efficiently manufactured using the Pichia pastoris expression system. The antibacterial test demonstrated that the AoNK-lysin protein significantly suppressed the growth of various pathogens, particularly Streptococcus agalactiae, Streptococcus iniae, Salmonella typhi, Shigella sonnei, Pseudomonas aeruginosa, and Aeromonas caviae. The minimal inhibitory concentration (MIC) was found to be 7.81 μg/mL. Further analysis of antiviral assays showed all the viral mRNA of SGIV to be significantly reduced after AoNK-lysin protein stimuli in FHM cells. Collectively, these discoveries indicate that AoNK-lysin exhibits features of both direct pathogen-killing abilities and inhibited virus replication.
Comparison of Efficacy of Fermented Garlic and Orlistat (Lipase Inhibitor) in Obesity Management Using an Experimental Rodent Model
Authors: Javed Mavra , Ahmed Waqas , Khan Azmatullah , Rabbani Imtiaz
Published: October 2023

Background: Black garlic, also known as fermented garlic, is a useful food that may have therapeutic benefits. The aim of this study was to analyze the impact of fermented garlic and orlistat therapy on obese rats. Methods: A total of 40 male albino rats (245–250 g) were fed either an HFD (n = 32) or a normal diet (n = 8) for 6 weeks; therefore we randomly assigned the rats into: group I (normal diet), group II (HFD), groups III and IV (HFD with fermented garlic), and group V (orlistat for) 6 weeks. Two different dosages of fermented garlic (481.2 mg/kg and 963.3 mg/kg) were administered. Afterward, blood was collected, body weight was measured, and tissue was collected for further analysis. Results: Both the orlistat and black garlic groups showed a significant reduction in BMI, lipid profiles, and insulin levels compared with the baseline. The orlistat group showed significant elevation (p < 0.005) in body weight, organ weight, lipids, and liver parameters, with histopathological findings. The administration of black garlic improved the inflammatory markers with all other parameters. Conclusion: The fermented garlic and orlistat reinstated all of the investigated parameters significantly (p < 0.05), especially body weight and lipid profiles, and induced histopathological changes compared to the drug orlistat. Additionally, it showed anti-obesity-related therapeutic impacts compared with the orlistat drug. Black garlic provides a reliable and effective treatment for obesity compared to orlistat.
Occurrence of Antibiotic-Resistant Bacteria in Fish and Seafood from Slovak Market
Authors: Krahulcová Monika , Cverenkárová Klára , Koreneková Júlia , Oravcová Andrea , Koščová Jana , Bírošová Lucia
Published: October 2023

The consumption of sushi or poke has grown globally. However, this type of dish often contains raw fish or seafood; therefore, it can pose a microbial risk for consumers. This study deals with the occurrence of total and antibiotic-resistant coliform bacteria and enterococci in fish and seafood as well as sushi and poke bought from Slovak retail (restaurants and fast food). Total coliforms have ranged in sushi, poke samples and samples of fish and seafood from cooling counters from 0.6 to 5.1 log CFU/g. Ampicillin resistance has been predominantly observed in all types of samples. Tetracycline resistance was detected in 16% of all tested samples and gentamicin resistance in 13%. Total enterococci has been detected in 74% of sushi samples, 100% of poke samples and 62% of samples obtained from supermarkets. The majority of enterococci were resistant to ampicillin. Vancomycin resistance was observed in five samples. Forty-eight resistant coliforms were identified mainly as Enterobacter spp. and Klebsiella spp. Antibiotic-resistant isolates were predominantly resistant to gentamicin, chloramphenicol and tetracycline. In 13% of resistant isolates was detected efflux pumps overproduction, and in four isolates was detected the tetA resistance gene. Our results point to poor hygiene in some establishments. The prevention of the antibiotic-resistant bacteria spread would be in better stewardship and improved monitoring of sanitation.
Fixed-Time Fractional-Order Sliding Mode Control for UAVs under External Disturbances
Authors: Benaddy Abdellah , Labbadi Moussa , Elyaalaoui Kamal , Bouzi Mostafa
Published: October 2023

The present paper investigates a fixed-time tracking control with fractional-order dynamics for a quadrotor subjected to external disturbances. After giving the formulation problem of a quadrotor system with six subsystems like a second-order system, a fractional-order sliding manifold is then designed to achieve a fixed-time convergence of the state variables. In order to cope with the upper bound of the disturbances, a switching fixed-time controller is added to the equivalent control law. Based on the switching law, fixed-time stability is ensured. All analysis and stability are proved using the Lyapunov approach. Finally, the higher performance of the proposed controller fixed-time fractional-order sliding mode control (FTFOSMC) is successfully compared to the two existing techniques through numerical simulations.
Fractal and Spectral Analysis of Seismicity in the Lai Chau Area (Vietnam)
Authors: Telesca Luciano , Thai Anh Tuan , Cao Dinh Trong , Cao Dinh Trieu , Dinh Quoc Van , Mai Xuan Bach
Published: October 2023

The time dynamics of the instrumental seismicity recorded in the area of the Lai Chau reservoir (Vietnam) between 2015 and 2021 were analyzed in this study. The Gutenberg–Richter analysis of the frequency–magnitude distribution has revealed that the seismic catalog is complete for events with magnitudes larger or equal to 0.6. The fractal method of the Allan Factor applied to the series of the occurrence times suggests that the seismic series is characterized by time-clustering behavior with rather large degrees of clustering, as indicated by the value of the fractal exponent α≈0.55. The time-clustering of the time distribution of the earthquakes is also confirmed by a global coefficient of variation value of 1.9 for the interevent times. The application of the correlogram-based periodogram, which is a robust method used to estimate the power spectrum of short series, has revealed three main cycles with a significance level of p<0.01 (of 10 months, 1 year, and 2 years) in the monthly variation of the mean water level of the reservoir, and two main periodicities with a significance level of p<0.01 (at 6 months and 2 years) in the monthly number of earthquakes. By decomposing the monthly earthquake counts into intrinsic mode functions (IMFs) using the empirical decomposition method (EMD), we identified two IMFs characterized by cycles of 10 months and 2 years, significant at the 1% level, and one cycle of 1 year, significant at the 5% level. The cycles identified in these two IMFs are consistent with those detected in the water level, showing that, in a rigorously statistical manner, the seismic process occurring in the Lai Chau area might be triggered by the loading–unloading operational cycles of the reservoir.
Using Proteomics Data to Identify Personalized Treatments in Multiple Myeloma: A Machine Learning Approach
Authors: Katsenou Angeliki , O’Farrell Roisin , Dowling Paul , Heckman Caroline A. , O’Gorman Peter , Bazou Despina
Published: October 2023

This paper describes a machine learning (ML) decision support system to provide a list of chemotherapeutics that individual multiple myeloma (MM) patients are sensitive/resistant to, based on their proteomic profile. The methodology used in this study involved understanding the parameter space and selecting the dominant features (proteomics data), identifying patterns of proteomic profiles and their association to the recommended treatments, and defining the decision support system of personalized treatment as a classification problem. During the data analysis, we compared several ML algorithms, such as linear regression, Random Forest, and support vector machines, to classify patients as sensitive/resistant to therapeutics. A further analysis examined data-balancing techniques that emerged due to the small cohort size. The results suggest that utilizing proteomics data is a promising approach for identifying effective treatment options for patients with MM (reaching on average an accuracy of 81%). Although this pilot study was limited by the small patient cohort (39 patients), which restricted the training and validation of the explored ML solutions to identify complex associations between proteins, it holds great promise for developing personalized anti-MM treatments using ML approaches.
Early Neuroprotective Effects of Bovine Lactoferrin Associated with Hypothermia after Neonatal Brain Hypoxia-Ischemia in Rats
Authors: Sanches Eduardo , van de Looij Yohan , Ho Dini , Modernell Laura , da Silva Analina , Sizonenko Stéphane
Published: October 2023

Neonatal hypoxic-ischemic (HI) encephalopathy (HIE) in term newborns is a leading cause of mortality and chronic disability. Hypothermia (HT) is the only clinically available therapeutic intervention; however, its neuroprotective effects are limited. Lactoferrin (LF) is the major whey protein in milk presenting iron-binding, anti-inflammatory and anti-apoptotic properties and has been shown to protect very immature brains against HI damage. We hypothesized that combining early oral administration of LF with whole body hypothermia could enhance neuroprotection in a HIE rat model. Pregnant Wistar rats were fed an LF-supplemented diet (1 mg/kg) or a control diet from (P6). At P7, the male and female pups had the right common carotid artery occluded followed by hypoxia (8% O2 for 60′) (HI). Immediately after hypoxia, hypothermia (target temperature of 32.5–33.5 °C) was performed (5 h duration) using Criticool®. The animals were divided according to diet, injury and thermal condition. At P8 (24 h after HI), the brain neurochemical profile was assessed using magnetic resonance spectroscopy (1H-MRS) and a hyperintense T2W signal was used to measure the brain lesions. The mRNA levels of the genes related to glutamatergic excitotoxicity, energy metabolism and inflammation were assessed in the right hippocampus. The cell markers and apoptosis expression were assessed using immunofluorescence in the right hippocampus. HI decreased the energy metabolites and increased lactate. The neuronal–astrocytic coupling impairments observed in the HI groups were reversed mainly by HT. LF had an important effect on astrocyte function, decreasing the levels of the genes related to glutamatergic excitotoxicity and restoring the mRNA levels of the genes related to metabolic support. When combined, LF and HT presented a synergistic effect and prevented lactate accumulation, decreased inflammation and reduced brain damage, pointing out the benefits of combining these therapies. Overall, we showed that through distinct mechanisms lactoferrin can enhance neuroprotection induced by HT following neonatal brain hypoxia-ischemia.
A New Species of Hemilauxania Hennig (Lauxaniidae) from the Lower Eocene Oise Amber—The Oldest Record of Schizophora (Diptera)?
Authors: Roháček Jindřich , Hoffeins Christel
Published: October 2023

Hemilauxania parvula sp. nov., a new fossil species of the family Lauxaniidae (Diptera: Acalyptratae), is described and illustrated from Oise amber, France (Eocene, lower Ypresian, ca 53 Ma), and its relationship is discussed. Inasmuch as this first finding of a member of Schizophora in Oise amber probably represents the oldest known record of this group of Diptera, the age of Schizophora, based on the known fossil records, is discussed.
T-Cell Engaging Antibodies in Diffuse Large B Cell Lymphoma—An Update
Authors: Balendran Shalini , Tam Constantine , Ku Matthew
Published: October 2023

Novel cellular immunotherapies such as T-cell engaging antibodies (TCEAbs) are changing the landscape of treatment for diffuse large B cell lymphoma (DLBCL), especially in the relapsed/refractory (R/R) setting. TCEAbs harness the power of the host immune system to induce killing of tumor cells by binding to both the tumor antigen and the T-cell receptor. Since the approval of blinatumomab for R/R acute lymphoblastic leukemia, there has been significant development in novel TCEAbs. Many of these novel TCEAbs have shown promising effectiveness in R/R DLBCL, with favorable response rates including complete remissions, even in heavily pretreated patients. There are unique therapy-related toxicities with TCEAbs, namely cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity (ICANS), and it is important to both recognize and manage these side effects appropriately. This review examines the development and mechanism of action of these TCEAbs, and the available published data from clinical trials. Their role in the treatment of DLBCL, the management of therapy-related adverse events, and the mechanisms of resistance will also be discussed.
Multispectral Imaging Analysis of Skin Lesions in Patients with Neurofibromatosis Type 1
Authors: Plorina Emilija V. , Saulus Kristine , Rudzitis Ainars , Kiss Norbert , Medvecz Márta , Linova Tatjana , Bliznuks Dmitrijs , Lihachev Alexey , Lihacova Ilze
Published: October 2023

Neurofibromatosis type 1 (NF1) is a rare disease, affecting around 1 in 3500 individuals in the general population. The rarity of the disease contributes to the scarcity of the available diagnostic and therapeutic approaches. Multispectral imaging is a non-invasive imaging method that shows promise in the diagnosis of various skin diseases. The device utilized for the present study consisted of four sets of narrow-band LEDs, including 526 nm, 663 nm, and 964 nm for diffuse reflectance imaging and 405 nm LEDs, filtered through a 515 nm long-pass filter, for autofluorescence imaging. RGB images were captured using a CMOS camera inside of the device. This paper presents the results of this multispectral skin imaging approach to distinguish the lesions in patients with NF1 from other more common benign skin lesions. The results show that the method provides a potential novel approach to distinguish NF1 lesions from other benign skin lesions.
Overlap Syndrome Consisting of Polymyositis/Dermatomyositis and ANCA-Associated Vasculitis According to the 2022 ACR/EULAR Criteria for Vasculitis: A Korean Single-Centre Study
Authors: Ha Jang Woo , Park Yong-Beom , Lee Sang-Won
Published: October 2023

The present study applied the 2022 American College of Rheumatology and European Alliance of Associations for Rheumatology classification criteria (the 2022 ACR/EULAR criteria) for antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) to ANCA-positive patients with polymyositis (PM)/dermatomyositis (DM). Also, this study investigated how many patients could be diagnosed with overlap syndrome consisting of PM/DM and AAV. Twelve ANCA-positive patients with PM/DM were included and analysed in this study. The 2022 ACR/EULAR classification criteria for microscopic polyangiitis (MPA), granulomatosis with polyangiitis (GPA), and eosinophilic GPA (EGPA) are scoring systems, and when a total score is over five in cases of MPA and GPA and over six in cases of EGPA, AAV can be classified. The median age of 12 ANCA-positive patients (six with PM and six with DM) was 54.0 years and one patient (8.3%) was male. Of the 12 ANCA-positive patients with PM/DM, 11 had myeloperoxidase (MPO)-ANCA (or perinuclear [P]-ANCA) and the remaining one had proteinase 3 (PR3)-ANCA (or cytoplasmic [C]-ANCA). Nine (75.5%) and one (8.3%) ANCA-positive patients with PM/DM were diagnosed with overlap syndrome consisting of PM/DM and MPA and overlap syndrome consisting of PM/DM and GPA, respectively. The main contributors to the classification of MPA and GPA were interstitial lung disease and renal vasculitis, along with ANCA positivity, respectively. In conclusion, this study was the first to demonstrate that 83.3% of them could be diagnosed with overlap syndrome consisting of PM/DM and AAV according to the 2022 ACR/EULAR criteria for AAV.
The Characterization of Non-oncologic Chronic Drug Therapy in Bladder Cancer Patients and the Impact on Recurrence-Free and Cancer-Specific Survival: A Prospective Study
Authors: Strobach Dorothea , Haimerl Lisa , Mannell Hanna , Stief Christian G. , Karl Alexander , Grimm Tobias , Buchner Alexander
Published: October 2023

We aimed to characterize non-oncologic chronic drug therapy of bladder cancer (BC) patients and evaluate a possible impact on recurrence-free (RFS) and cancer-specific survival (CSS). Patients with a first diagnosis (FD) of BC or radical cystectomy (RC) were included in a prospective, monocentric, observational study. Drugs and medical data was assessed at start and three-monthly for 24 months. Drugs were classified by anatomical-therapeutic-chemical code (ATC). Endpoints for outcome analysis were RFS and CSS in univariate (Kaplan–Meier curves and log-rank test, Cox regression for Hazard Ratio (HR)) and multivariate (Cox regression models) analyses. Of 113 patients, 52 had FD and 78 RC. Median age was 74 and 72 years, 83% and 82% were male. Drugs of 114 ATC classes were taken by 48 (92%) FD patients (median number 4.5/IQR 2–7.5) and 73 (94%) of RC patients (median 5/IQR 2–9). In univariate analysis (log-rank test (p)/Cox regression (HR, 95% CI, p)), polypharmacy (p = 0.036/HR = 2.83, 95% CI = 1.02–7.90, p = 0.047), calcium channel blockers (p = 0.046/HR = 2.47, 95% CI = 0.97–6.27, p = 0.057) and proton pump inhibitors (p = 0.015/HR = 3.16, 95% CI = 1.18–8.41, p = 0.022) had a significant negative impact on RFS in RC patients, statins (p = 0.025/HR = 0.14, 95% CI = 0.02–1.06, p = 0.057) a positive effect on RFS in FD patients, angiotensin-converting enzyme inhibitors (p = 0.008/HR = 10.74, 95% CI = 1.20–96.17, p = 0.034) and magnesium (p = 0.042/HR = 5.28, 95% CI = 0.88–31.59, p = 0.067) a negative impact on CSS in FD patients. In multivariate analysis, the only significant drug effects were the negative impact of angiotensin-converting enzyme inhibitors (HR = 15.20, 95% CI = 1.30–177.67, p = 0.030) and magnesium (HR = 22.87, 95% CI = 1.57–333.81), p = 0.022) on CSS in FD patients, and the positive impact of statins (HR = 0.12, 95% CI = 0.01–0.97, p = 0.047) on RFS in FD patients. Impact of non-oncologic drugs on RFS and CSS was small in this prospective study. Thus, appropriate treatment of comorbidities is encouraged.
COVID-19 versus Other Disease Etiologies as the Cause of ARDS in Patients Necessitating Venovenous Extracorporeal Membrane Oxygenation—A Comparison of Patients’ Data during the Three Years of the COVID-19 Pandemic
Authors: Kim Sua , Seok Hyeri , Kim Beong Ki , Hwang Jinwook , Park Dae Won , Shin Jae Seung , Kim Je Hyeong
Published: October 2023

Considering the characteristics of coronavirus disease 2019 (COVID-19) acute respiratory distress syndrome (ARDS), we compared the clinical course and outcomes of patients with ARDS who received venovenous extracorporeal membrane oxygenation (VV ECMO) based on the etiology of ARDS. This retrospective single-center study included adult patients with severe ARDS necessitating VV ECMO during the COVID-19 pandemic. Among 45 patients who received VV ECMO, 21 presented with COVID-19. COVID-19 patients exhibited lower sequential organ failure assessment scores (9 [8–12.75] versus 8 [4–11.5], p = 0.033) but longer duration of VV ECMO support (10.5 days [3.25–29.25] versus 28 days [10.5–70.5] p = 0.018), which was accompanied by an weaning off rate from VV ECMO in 12/24 (50%) versus 12/21 (57.1%) and 28-day mortality in 9/24 [37.5%] versus 2/21 [9.5%] in non-COVID-19 and COVID-19 patients (p = 0.767, p = 0.040), respectively. Finally, in the adjusted Cox regression model for hospital mortality, the hazard ratio of COVID-19 was not significant (hazard ratio 0.350, 95% confidence interval 0.110–1.115, p = 0.076). Although the VV ECMO period was longer, COVID-19 did not significantly impact ECMO weaning off and mortality rates. Nonetheless, judicious patient selections based on risk factors should be followed.
Criterion Validity and Responsiveness of Estimated Cardiorespiratory Fitness Models in Patients with Inflammatory Joint Disease
Authors: Nordén Kristine Røren , Dagfinrud Hanne , Semb Anne Grete , Hisdal Jonny , Metsios George S. , Sexton Joseph , Fongen Camilla , Bakke Emilie Andrea , Tveter Anne Therese
Published: October 2023

Cardiorespiratory fitness (CRF) is an excellent marker of overall health. This study aimed to assess criterion validity and responsiveness of estimated CRF models (eCRF) in patients with inflammatory joint disease (IJD). CRF was measured directly as peak oxygen uptake (VO2peak) by a Cardiopulmonary Exercise Test (CPET), while one generic eCRF model (eCRFGEN) and two disease-specific eCRF models (eCRFALT and eCRFPGA) were used to estimate CRF at baseline and after 3 months in 55 Norwegian patients with IJD. Moderate correlations were observed between eCRFGEN, eCRFALT, eCRFPGA, and VO2peak at baseline (ICC 0.60, 0.64 and 0.62, respectively) and 3 months (ICC 0.62, 0.65 and 0.57, respectively). All eCRF models overestimated measured VO2peak, and there was large variability in agreement of individual measurements at baseline and at 3 months. Weak correlations were observed for responsiveness of eCRFGEN (ICC 0.39), eCRFALT (ICC 0.40) and eCRFPGA (ICC 0.39). Mean differences between change in eCRF models and change in VO2peak were small, but the wide limits of agreement exceeded the pre-defined clinically acceptable margins. The eCRF models possessed adequate ability to detect ≥3.5 mL/kg/min improvement in VO2peak. eCRF may suffice for group-level assessment, but caution is advised when applying eCRF to individual patients with IJD.
Development of “Cissus quadrangularis” Composite Material with Elevated Mechanical Properties and Thermal Stability
Authors: Gummadavalli Gopinath , Schuster Jens , Shaik Yousuf Pasha
Published: October 2023

The main objective of this work is to evaluate the mechanical and thermal strength of a recently developed composite made of Cissus quadrangularis fiber coupled with Polylacticacid (PLA) in comparison to other natural fibers. This study investigated three different fiber and PLA compositions—20%, 30%, and 40%, respectively used to produce a composite. In contrast, another composite with the same volume percentage was created using calcium hydroxide Ca(OH)2 to coat the fibers in order to alter their microcrystalline structure and enhance their mechanical properties. The composite was created using an injection molding procedure. Tests were performed to assess the improved properties. According to a preliminary study, the mechanical characteristics of PLA combined with treated Cissus quadrangularis fiber are increased when compared to PLA coupled with untreated Cissus quadrangularis fiber and neat PLA. Calcium hydroxide acted as a binding agent in fiber to enhance stress transmission in the matrix, increasing tensile and flexural modulus as well as toughness elongation. Further DSC analysis showed that the inclusion of the preceding components increased the glass transition temperature and melting temperature. The temperature at the beginning of deflection has risen as a result of showing how increasing HDT, fiber–matrix adhesion, and fiber content are related. The morphological analysis was performed on both untreated and chemical-treated fiber composites by using an optical microscope to see the interaction with the fiber matrix.
Dynamic Characteristics of an Underwater Ventilated Vehicle Exiting Water in an Environment with Scattered Ice Floes
Authors: Zhang Song , Lin Wei , Xu Hao , Sun Tiezhi
Published: October 2023

The presence of ice floes on the water surface has a significant impact on the complex hydrodynamic process of submersible ventilated vehicles exiting the water. In this paper, we propose numerical simulations based on computational fluid dynamics to investigate the process of a ventilated vehicle exiting water in an ice-water mixture. The Schnerr–Sauer model is used to describe the cavitation, while the turbulence is solved by using the k-ω shear stress transport (SST) model. We also introduce the contact coupling method to simulate the rigid collision between the vehicle and the ice floe. We calculated and analyzed the process of the vehicle exiting the water under three conditions: ice-free conditions and in the presence of regularly shaped and irregularly shaped ice floes. The findings indicate that the ice floes contributed to the rapid fragmentation of the water plume to induce the premature collapse of the ventilated cavity and alter its form of collapse. The presence of ice floes intensified the evolution of the flow field close to the vehicle, and their flipping led to a significant volume of splashing water that could have led to the localized secondary closure of the cavity. Moreover, the collision between the vehicle and the ice floes caused pressure pulsations on the surface of the former, with a more pronounced effect observed on the head compared with the cylindrical section. While crossing the ice-water mixture, the vehicle was exposed to water jets formed by the flipping ice floes, which might have led to localized high pressure.