bluuebunny/crossref_metadata_2025 huggingface dataset:
Multi-Project Multi-Environment Approach—An Enhancement to Existing DevOps and Continuous Integration and Continuous Deployment Tools
Authors: Erdenebat Baasanjargal , Bud Bayarjargal , Batsuren Temuulen , Kozsik Tamás
Published: December 2023

DevOps methodology and tools, which provide standardized ways for continuous integration (CI) and continuous deployment (CD), are invaluable for efficient software development. Current DevOps solutions, however, lack a useful functionality: they do not support simultaneous project developments and deployment on the same operating infrastructure (e.g., a cluster of Docker containers). In this paper, we propose a novel approach to address this shortcoming by defining a multi-project, multi-environment (MPME) approach. With this approach, a large company can organize many microservice-based projects operating simultaneously on a common code base, using self-hosted Kubernetes clusters, which helps developers and businesses to better focus on the product they are developing, and to reduce efforts on the management of their DevOps infrastructure.
Ecoregional and Phytogeographical Insights into the Distribution of Tulipa in the ‘Nature Imperiled’ Area of Central Asia for Effective Conservation
Authors: Asatulloev Temur , Dekhkonov Davron , Yusupov Ziyoviddin , Tojiboeva Umida , Cai Lei , Tojibaev Komiljon , Sun Weibang
Published: December 2023

Tulipa L. (Liliaceae) comprises approximately 150 species. Although Central Asia, the main center of its diversity, includes around 66 species, detailed mapping of their distribution is limited and research on their ecoregional and phytogeographical dispersion is insufficient. This study aimed to map and analyze the distribution patterns of Tulipa across the Central Asian ecoregions and phytogeographical regions to identify potential hotspots for effective conservation efforts. The results identified the Gissaro-Alai open woodlands ecoregion, which hosts 41 species of Tulipa, as the leading hotspot ecoregion. The Ferghana Valley phytogeographical district (Afghano-Turkestan province) was found to be the most suitable habitat for 25 species of Tulipa. We also determined that altitude has a strong influence on the diversity of Tulipa and indicating increase of species richness as elevation rises. However, as elevation rises up from ca. 2000 m a.s.l. species richness also decreases slightly. An analysis of the distribution of sections of Tulipa in Central Asia revealed that around 61% of all species dwell in this area and that the sections Kolpakowskianae and Biflores, which have their greatest diversity of species, are specific to this area. The findings provide valuable insights into the distribution of Tulipa and allow for feasible recommendations and suggestions for their conservation.
Deep-Learning-Based Arrhythmia Detection Using ECG Signals: A Comparative Study and Performance Evaluation
Authors: Katal Nitish , Gupta Saurav , Verma Pankaj , Sharma Bhisham
Published: December 2023

Heart diseases is the world’s principal cause of death, and arrhythmia poses a serious risk to the health of the patient. Electrocardiogram (ECG) signals can be used to detect arrhythmia early and accurately, which is essential for immediate treatment and intervention. Deep learning approaches have played an important role in automatically identifying complicated patterns from ECG data, which can be further used to identify arrhythmia. In this paper, deep-learning-based methods for arrhythmia identification using ECG signals are thoroughly studied and their performances evaluated on the basis of accuracy, specificity, precision, and F1 score. We propose the development of a small CNN, and its performance is compared against pretrained models like GoogLeNet. The comparative study demonstrates the promising potential of deep-learning-based arrhythmia identification using ECG signals.
Landscape of Innovative Methods for Early Diagnosis of Gastric Cancer: A Systematic Review
Authors: Orășeanu Alexandra , Brisc Mihaela Cristina , Maghiar Octavian Adrian , Popa Horia , Brisc Ciprian Mihai , Șolea Sabina Florina , Maghiar Teodor Andrei , Brisc Ciprian
Published: December 2023

From a global perspective, gastric cancer (GC) persists as a significant healthcare issue. In the Western world, the majority of cases are discovered at late stages, when the treatment is generally unsuccessful. There are no organized screening programs outside of Asia (Japan and Republic of Korea). Traditional diagnosis techniques (such as upper endoscopy), conventional tumor markers (CEA, CA19-9, and CA72-4), radiographic imaging, and CT scanning all have drawbacks. The gold standard for the earliest detection of cancer and related premalignant lesions is still endoscopy with a proper biopsy follow-up. Since there are currently no clinically approved biomarkers for the early diagnosis of GC, the identification of non-invasive biomarkers is expected to help improve the prognosis and survival rate of these patients. The search for new screening biomarkers is currently underway. These include genetic biomarkers, such as circulating tumor cells, microRNAs, and exosomes, as well as metabolic biomarkers obtained from biofluids. Meanwhile, cutting-edge high-resolution endoscopic technologies are demonstrating promising outcomes in the visual diagnosis of mucosal lesions with the aid of linked color imaging and machine learning models. Following the PRISMA guidelines, this study examined the articles in databases such as PubMed, resulting in 167 included articles. This review discusses the currently available and emerging methods for diagnosing GC early on, as well as new developments in the endoscopic detection of early lesions of the stomach.
Tax Buoyancy in Indonesia: An Evaluation of Tax Structure and Policy Reforms
Authors: Sinaga Suhut , Ekananda Mahjus , Gitaharie Beta , Setyowati Milla
Published: December 2023

This study investigates tax buoyancies in Indonesia. It analyzes the cointegration relationship between the regional gross domestic product (RGDP), along with several control variables, and tax revenues. Focusing on personal income tax (PIT), corporate income tax (CIT), and value-added tax (VAT), it employs a dynamic analysis from 2015 to 2021. This research utilizes the Wald test to evaluate long-term buoyancies and the PMG-ARDL model to assess tax dynamics and cointegration coefficients. The results revealed tax revenues’ consistent tendency toward equilibrium in the long term, with fluctuations across Indonesian provinces. PIT displayed the highest buoyancy and adjustment speed, followed by VAT and CIT. This analysis highlights tax types’ diverse responses to underlying factors, offering crucial insights into fiscal dynamics. The research illuminates the intricate relationship between economic indicators and tax categories, providing valuable lessons for future policies, especially concerning structural changes like tax amnesty programs and tax rate modifications.
Characterization Technique for a Doppler Radar Occupancy Sensor
Authors: Whitworth Avon , Droitcour Amy , Song Chenyan , Boric-Lubecke Olga , Lubecke Victor
Published: December 2023

Occupancy sensors are electronic devices used to detect the presence of people in monitored areas, and the output of these sensors can be used to optimize lighting control, heating and ventilation control, and real-estate utilization. Testing methods already exist for certain types of occupancy sensors (e.g., passive infrared) to evaluate their relative performance, allowing manufacturers to report coverage patterns for different types of motion. However, the existing published techniques are mostly tailored for passive-infrared sensors and therefore limited to evaluation of large motions, such as walking and hand movement. Here we define a characterization technique for a Doppler radar occupancy sensor based on detecting a small motion representing human breathing, using a well-defined readily reproducible target. The presented technique specifically provides a robust testing method for a single-channel continuous wave Doppler-radar based occupancy sensor, which has variation in sensitivity within each wavelength of range. By comparison with test data taken from a human subject, we demonstrate that the mobile target provides a reproducible alternative for a human target that better accounts for the impact of sensor placement. This characterization technique enables generation of coverage patterns for breathing motion for single-channel continuous wave Doppler radar-based occupancy sensors.
Harmonic Injection Control of Permanent Magnet Synchronous Motor Based on Fading Memory Kalman Filtering
Authors: Du Shenhui , Sun Weisong , Wang Yao , Wang Meng , Zhang Hongjie
Published: December 2023

In order to reduce the harm of harmonic disturbances of the permanent magnet synchronous motor (PMSM) control system to the drive and improve the accuracy of the control system, a harmonic injection control method based on asymptotic fading memory Kalman filtering is proposed. Compared with the traditional harmonic injection method, this method reduces the torque pulsation of the PMSM, converges faster, and realizes fast stabilization of the control system. In order to improve the control accuracy of the system, extended Kalman filtering is used to estimate the mechanical angular velocity and optimize the harmonic extraction process to reduce the interference of noise signals in the extraction process. At the same time, a fading memory factor is introduced to replace the fixed gain in the Kalman filter, which can correct the system error and effectively prevent the filtering dispersion, thus enhancing the system’s stability. Finally, the system is simulated and experimentally analyzed, and the results show that the method can improve the dynamic response speed, stability, and control accuracy of the system compared with the traditional harmonic injection method.
A Lightweight Image Encryption Scheme Using DNA Coding and Chaos
Authors: Fetteha Marwan A. , Sayed Wafaa S. , Said Lobna A.
Published: December 2023

Protecting transmitted multimedia data such as images is a significant concern. This work proposes an encryption algorithm for greyscale images using a Pseudo-Random Number Generator (PRNG), DNA coding, and pixel sum. The proposed approach is implemented on a Genesys 2 FPGA using minimal hardware resources and can operate at a maximum frequency of 110.8 MHz. In addition, several performance evaluation tests are conducted for multiple images, including statistical analysis of the encrypted image, keyspace analysis, and differential attack analysis. The system is compared to recent works with respect to encryption quality and used hardware resources. The proposed scheme outperformed recent chaos-based image encryption schemes.
Facial Wrinkle Detection with Multiscale Spatial Feature Fusion Based on Image Enhancement and ASFF-SEUnet
Authors: Chen Jiang , He Mingfang , Cai Weiwei
Published: December 2023

Wrinkles, crucial for age estimation and skin quality assessment, present challenges due to their uneven distribution, varying scale, and sensitivity to factors like lighting. To overcome these challenges, this study presents facial wrinkle detection with multiscale spatial feature fusion based on image enhancement and an adaptively spatial feature fusion squeeze-and-excitation Unet network (ASFF-SEUnet) model. Firstly, in order to improve wrinkle features and address the issue of uneven illumination in wrinkle images, an innovative image enhancement algorithm named Coiflet wavelet transform Donoho threshold and improved Retinex (CT-DIR) is proposed. Secondly, the ASFF-SEUnet model is designed to enhance the accuracy of full-face wrinkle detection across all age groups under the influence of lighting factors. It replaces the encoder part of the Unet network with EfficientNet, enabling the simultaneous adjustment of depth, width, and resolution for improved wrinkle feature extraction. The squeeze-and-excitation (SE) attention mechanism is introduced to grasp the correlation and importance among features, thereby enhancing the extraction of local wrinkle details. Finally, the adaptively spatial feature fusion (ASFF) module is incorporated to adaptively fuse multiscale features, capturing facial wrinkle information comprehensively. Experimentally, the method excels in detecting facial wrinkles amid complex backgrounds, robustly supporting facial skin quality diagnosis and age assessment.
Implementation of a Prediction Model in a Smart System for Enhancing Comfort in Dwellings
Authors: Zaharieva Snezhinka , Georgiev Ivan , Georgiev Slavi , Stoev Iordan , Borodzhieva Adriana
Published: December 2023

This article introduces a novel approach to ensuring optimal comfort in residential environments, using a smart system powered by predictive modeling. At its core lies a complex algorithm, presented alongside a detailed block diagram, guiding the system’s operations, which are tailored for residential comfort. The primary focus is on the time series analysis of forecasting relative humidity—a critical parameter influencing comfort in living spaces. Among the various prediction models analyzed, a model based on the Fourier equation emerged as the most efficient, accounting for approximately 81% of variances in data. Upon validation, the model showcases an impressive relative error of just ±0.1%. The research underscores the potential of leveraging advanced forecasting in optimizing devices like dehumidifiers or air humidifiers, ensuring the desired comfort while minimizing energy consumption. This innovative integration paves the way for a smarter, more sustainable residential living experience.
Experimental Investigation on the Effects of Direct Injection Timing on the Combustion, Performance and Emission Characteristics of Methanol/Gasoline Dual-Fuel Spark Turbocharged Ignition (DFSI) Engine with Different Injection Pressures under High Load
Authors: Wang Jun , Tian Huayu , Zhang Ran , Shen Bo , Su Yan , Yu Hao , Zhang Yulin
Published: December 2023

The exceptional properties of methanol, such as its high octane number and latent heat of evaporation, make it an advantageous fuel for efficient utilization in dual-fuel combustion techniques. The aim of this study is to investigate the effect of direct methanol injection timing on the combustion, performance and emission characteristics of a dual-fuel spark ignition engine at different injection pressures. We conducted four different direct injection pressure tests ranging from 360° ahead to 30° CA ahead at 30° CA intervals. The experimental results indicate that regardless of the injection pressure, altering the methanol injection timing from −360° to −30° CA ATDC leads to distinct combustion behavior and changes in the combustion phase. Initially, as the injection timing is delayed, the combustion process accelerates, which is followed by a slower combustion phase. Additionally, the combustion phase itself experiences a delay and then advances. Regarding performance characteristics, both the brake thermal efficiency (BTE) and exhaust gas temperature (EGT) exhibit a consistent pattern of first increasing and then decreasing as the injection timing is delayed. This suggests that there is an optimal injection timing window that can enhance both the engine’s efficiency and its ability to manage exhaust temperature. In terms of emissions, there are different trends in this process due to the different conditions under which the individual emissions are produced, with CO and HC showing a decreasing and then increasing trend, and NOx showing the opposite trend. In conclusion, regardless of the injection pressure employed, adopting a thoughtful and well-designed injection strategy can significantly improve the combustion performance and emission characteristics of the engine. The findings of this study shed light on the potential of methanol dual-fuel combustion and provide valuable insights for optimizing engine operation in terms of efficiency and emissions control.
Improved Two-Fluid Model for Segregated Flow and Integrated Multiphase Flow Modeling for Downhole Pressure Predictions
Authors: Alkhezzi Abdullah , Fan Yilin
Published: December 2023

This work presents an integrated multiphase flow model for downhole pressure predictions with the purpose of producing relatively more accurate predictions under wide-flowing conditions while maintaining a simple form. As a component of the integrated model, an improved two-fluid model for segregated flow is proposed. The new two-fluid model was developed by improving the modeling of the wetted perimeters and the liquid wall shear stress. It outperformed five other existing state-of-the-art models in predicting the liquid holdup and pressure gradient of 11 experimental datasets from the literature, with an average relative error of 37.6% for liquid holdup predictions and 24.0% for pressure gradient predictions. The model succeeds in capturing the effects of inclination angle, pressure or gas density, and liquid and gas superficial velocities on liquid holdup and pressure gradient. The integrated model incorporates the state-of-the-art onset of liquid loading predictive model and classifies the flow into two major categories based on the onset of liquid loading that are modeled by two different approaches, respectively. It outperformed the other multiphase flow models in predicting the downhole pressure of 313 field data points, especially the wells that have both segregated and intermittent (mixed) flows. The errors were reduced to 4.4% for the field cases with mixed flow regions and 5.1% for all the field data points.
Assembly and Comparative Analysis of the Complete Mitochondrial Genome of Ilex macrocarpa
Authors: Wang Yuxiao , Sun Ning , Shi Wenxi , Ma Qiuyue , Sun Liyong , Hao Mingzhuo , Bi Changwei , Li Shuxian
Published: December 2023

The plant mitochondrial genome (mitogenome) has a complex organization and carries genetic traits of value in exploiting genetic resources. In this study, the Ilex macrocarpa mitogenome was sequenced and assembled to understand the genetic diversity and phylogenetic relationship. The mitogenome has a cyclic molecular structure and is 539,461 bp long with a GC content of 45.53%. It contained 39 protein-coding proteins, 19 tRNA genes, and 3 rRNA genes. The 146 simple sequence repeats and 591 dispersed repeat sequences were identified in the mitogenome. Codon usage analysis revealed a preference for codons ending in A/T. A total of 517 C to U RNA editing sites were predicted, with nad4 and ccmB being edited most frequently (39 times). Phylogenetic analysis via mitochondrial protein-coding genes showed that the Aquifoliales order contains sister plants to Lamiales, Solanales, and Gentianales. In addition, the conflicts between chloroplast and mitochondrial phylogeny were also observed. This study provides a theoretical framework for understanding the evolution, classification, and identification of the Ilex genus, which lays an important foundation for future molecular breeding investigations.
The Effect of Different Vegetation Restoration Types on Soil Quality in Mountainous Areas of Beijing
Authors: Li Peng , Qi Shi , Zhang Lin , Tang Ying , Lai Jinlin , Liao Ruien , Zhang Dai , Zhang Yan , Hu Jun , Lu Jinsheng , Wang Xiangyu
Published: December 2023

Soil quality is a very important indicator used to assess ecosystem restoration states in terms of vegetation recovery and establishment. Evaluating the soil quality of different vegetation restoration types in mountainous areas of Beijing and identifying their influencing factors would provide a scientific basis and be helpful for vegetation restoration in the future. Six vegetation types (or communities), including Platycladus orientalis (L.) Franco pure forest (POP), Pinus tabulaeformis Carr. pure forest (PTP), Platycladus orientalis–Pinus tabulaeformis mixed forest (PPM), Platycladus orientalis coniferous and broadleaved mixed forest (POCB), Pinus tabulaeformis coniferous and broadleaved mixed forest (PTCB), deciduous broadleaved mixed forest (DBMF), and one area of non-afforested land (NF), with similar stand conditions were selected and fourteen factors of soil physical and chemical characteristics were measured and used to establish a total data set (TDS), while a minimum data set (MDS) was obtained by using the principal component analysis (PCA) and Pearson correlation analysis methods. Two scoring methods, linear (L) and non-linear (NL), were used to calculate the soil quality index (SQI), and the key factors influencing soil quality by vegetation were identified by a general linear model (GLM), PCA, and correlation analysis. The results showed that: (1) The screened MDS indicators which showed good relationships with the SQIs in the study areas were total nitrogen (TN), sand content, total potassium (TK), pH, and available water capacity (AWC). The SQI–NLM method has better applicability. (2) The contribution rates of vegetation to different soil factors accounted for 28.644% (TN), 21.398% (sand content), 24.551% (TK), 16.075% (pH), and 9.332% (AWC). (3) TN showed a positive relationship with all vegetation types; the content of TN in PTCB and DBMF was obviously larger than in the other types in the 0–10 cm layer; PPM, PTCB, and POCB affected the sand content, which showed negative correlativity; and DBMF showed positive correlativity with AWC. The mechanism of how different species affect TN, sand content, and AWC should be focused on and taken into consideration in further studies.
Using Limit Value Constraint Theory to Better Understand the Self-Thinning Rule of Forest
Authors: Long Shisheng , Zeng Siqi , Xiao Huashun , Gong Zhaosong , Yang Shengyang
Published: December 2023

Stand density management is important for decision-making regarding adaptive silviculture and thinning, growth modelling, and yield prediction in forests, especially plantations. Although substantial research related to the self-thinning rule and maximum size-density law has been conducted, there are still critical gaps that exist in the biophysical explanation and validation of the relationships among stand variables and relevant parameters. In this study, time series observations from six plots of fully stocked Chinese fir plantations with different densities of planted trees were used to characterise the growth of stand basal area (G), average height (H), and diameter at breast height (D). The growth trends in the stand parameters and the relationships among them were analysed. As indicated by previous studies, in the fully stocked stands, there was a significant linear relationship between G and H. This study also resulted in the following new findings: (1) At the beginning, the growth rate of stand basal area (PG) was greater than the growth rate of average height (PH), but PG decreased quickly as the stands approached canopy closure and then became stable. Meanwhile, as the stands neared canopy closure, the rate of increase in the G/H ratio decelerated, ultimately resulting in a stable G/H value that approached the first limit value. This led to a stand growth balance status that continued until self-thinning took place. (2) Artificial thinning broke the growth balance status, but the stands returned to balance status if they were still young enough. Self-thinning also broke the growth balance status and lead to fluctuating growth rates of both G and H, but the fluctuations were very slight, which showed a trend in similar growth rates of G and H. (3) The findings implied that the stand G and H growths were allometric at the beginning but became isogonic as canopy closure and self-thinning were approached. On the other hand, the H growth rate was generally greater than that of D, but both growth rates showed a trend in similar values after the stands matured. Subsequently, the H/D ratio is anticipated to stabilize and gradually converge towards the second limit value once the stands reach maturity. The results implied that the stand growth balance status and two limit values can be used to identify and select fully stocked stands that are needed for the development of maximum size-density equations and self-thinning rules.
Wild Garlic (Allium ursinum) Preparations in the Design of Novel Functional Pasta
Authors: Filipčev Bojana , Kojić Jovana , Miljanić Jelena , Šimurina Olivera , Stupar Alena , Škrobot Dubravka , Travičić Vanja , Pojić Milica
Published: December 2023

This study investigated the design of novel pasta enriched with different forms of wild garlic (WG): a powder, an extract and an encapsulated extract applied at three enrichment levels (low/middle/high). The effect of cooking on changes in the content of bioactive compounds, antioxidative activity, cooking behaviour, texture, colour and sensory properties of the cooked pasta was evaluated. WG preparations significantly increased the antioxidant potential (by 185–600%) as well as the content of phenolics (by 26–146%), flavonoids (by 40–360%) and potassium (up to three-fold) in the cooked pasta, depending on WG type and enrichment level. Flavonoids were dominantly present in the free form. Cooking resulted in a significant loss of flavonoids (39–75%) whereas phenolics were liberated from the matrix. The highest increase in total phenolics and antioxidant activity was exerted by the WG powder and extract. Pasta hardness and adhesiveness were increased, but encapsulated WG deteriorated cooking behaviour. The best-scored enriched pasta regarding sensory quality and texture was that enriched with WG powder at the low/moderate level.
Protective Effect of Ginsenoside CK against Autoimmune Hepatitis Induced by Concanavalin A
Authors: Zhang Jingjing , Liu Yao , An Chao , Liu Chen , Ma Saijian , Zhang Qiwen , Ding Hao , Shao Jingjing , Xue Wenjiao
Published: December 2023

Ginsenoside CK, a kind of rare ginsenoside transformed from protopanaxadiol saponins extracted from the genus Panax, has been proven to possess favorable bioactivities such as anti-inflammatory, anti-cancer, anti-diabetes, and hepatoprotective effects. The current study is targeted to determine the effect of ginsenoside CK on hepatitis induced by concanavalin A (Con A). Mice were treated with different dosages of ginsenoside CK for 7 days, and Con A (15 mg/kg) was intravenously injected to induce autoimmune hepatitis (AIH) after the last administration. The results demonstrated that pretreatment with ginsenoside CK (40 mg/kg) could obviously ameliorate the increase in serum indicators related to liver function such as AST, ALT, and ALP, and hepatic lesions induced by Con A. Meanwhile, ginsenoside CK suppressed hepatocyte apoptosis, which was observed in pathological data, and immunoblotting results showed that the expression of Bax, Bcl-2, and other proteins was regulated by CK. Furthermore, the release of inflammatory cytokines such as tumor necrosis factor-α (TNF-α) and IL-6 in mice with AIH were lowered by the administration of 40 mg/kg of ginsenoside CK. Furthermore, ginsenoside CK elevated the gene expression of Nrf2 and Sirt1 and augmented downstream target genes such as HO-1. In addition, a significant inhibition effect of the TLR4/NF-κB signal was observed in 40 mg/kg CK-pretreated mice compared with the model group. To sum up, the results indicated that ginsenoside CK has a notable hepatoprotective effect against AIH by activating Sirt1/Nrf2 and suppressing the TLR4/NF-κB signaling pathway.
Greenhouse Gas Conversion into Hydrocarbons and Oxygenates Using Low Temperature Barrier Discharge Plasma Combined with Zeolite Catalysts
Authors: Golubev Oleg V. , Tsaplin Dmitry E. , Maximov Anton L.
Published: December 2023

Global warming occurs as a result of the build-up of greenhouse gases in the atmosphere, causing an increase in Earth’s average temperature. Two major greenhouse gases (CH4 and CO2) can be simultaneously converted into value-added chemicals and fuels thereby decreasing their negative impact on the climate. In the present work, we used a plasma-catalytic approach for the conversion of methane and carbon dioxide into syngas, hydrocarbons, and oxygenates. For this purpose, CuCe zeolite-containing catalysts were prepared and characterized (low-temperature N2 adsorption, XRF, XRD, CO2-TPD, NH3-TPD, TPR). The process of carbon dioxide methane reforming was conducted in a dielectric barrier discharge under atmospheric pressure and at low temperature (under 120 °C). It was found that under the studied conditions, the major byproducts of CH4 reforming are CO, H2, and C2H6 with the additional formation of methanol and acetone. The application of a ZSM-12 based catalyst was beneficial as the CH4 conversion increased and the total concentration of liquid products was the highest, which is related to the acidic properties of the catalyst.
Recent Trends in S. aureus and E. coli-Based Endometritis, and the Therapeutic Evaluation of Sodium Alginate-Based Antibiotics and Nanoparticles
Authors: Talib Muzammil , Nabeel Muhammad Ashir , Haq Shahbaz Ul , Waqas Muhammad Salman , Jamil Huma , Aqib Amjad Islam , Muneer Afshan , Fouad Dalia , Ataya Farid Shokry
Published: December 2023

Postpartum infection of the uterus by pathogenic bacteria is exacerbated due to a lack of sufficient epidemiological studies and evidence-based therapeutics. Therefore, this study was planned to find the prevalence, risk factors, and drug-resistance profile of S. aureus and E. coli isolated from bovine endometritis and to evaluate the antibacterial potential of sodium alginate-based antibiotics and nanoparticles. The study revealed 34.21% S. aureus and 31.57% E. coli, whereas most of the assumed risk factors presented significant association in this study. S. aureus showed the highest resistance against fusidic acid (60%) and cefoxitin (50%), while the highest resistance in E. coli was found against fusidic acid (60%), gentamicin (60%), chloramphenicol (50%), and cefoxitin (50%). Tylosin coupled with MgO nanoparticles stabilized in sodium alginate gel (Tylo + MgO + gel) presented significantly lower minimum inhibitory concentration (MIC) against E. coli, showing 13.88 ± 4.51 µg/mL after 24 h incubation. On the other hand, gel-based preparations showed MIC as 31.25 ± 0 µg/mL (Tylo + gel + MgO) and 26.04 ± 9.02 µg/mL (Tylo + Gel) against S. aureus. Generally, the MICs of non-gel-based preparations were significantly higher against bacteria except ampicillin against S. aureus in this study. The toxicity analysis of MgO nanoparticles presented 20–80% mortality of snails against a wider range of 0.01 mg/mL–10 mg/mL. The histopathological parameters concluded MgO nanoparticles safe to use on off targets. The current study thus concludes the rise in antimicrobial resistance while the gel-based products appearing as effective antimicrobials with sufficient safety margins for off-targets. The study thus invites further investigation for the development of suitable and affordable modified therapeutics for better health and production of animals.
Optical Genome Mapping as a Tool to Unveil New Molecular Findings in Hematological Patients with Complex Chromosomal Rearrangements
Authors: Coccaro Nicoletta , Zagaria Antonella , Anelli Luisa , Tarantini Francesco , Tota Giuseppina , Conserva Maria Rosa , Cumbo Cosimo , Parciante Elisa , Redavid Immacolata , Ingravallo Giuseppe , Minervini Crescenzio Francesco , Minervini Angela , Specchia Giorgina , Musto Pellegrino , Albano Francesco
Published: December 2023

Standard cytogenetic techniques (chromosomal banding analysis—CBA, and fluorescence in situ hybridization—FISH) show limits in characterizing complex chromosomal rearrangements and structural variants arising from two or more chromosomal breaks. In this study, we applied optical genome mapping (OGM) to fully characterize two cases of complex chromosomal rearrangements at high resolution. In case 1, an acute myeloid leukemia (AML) patient showing chromothripsis, OGM analysis was fully concordant with classic cytogenetic techniques and helped to better refine chromosomal breakpoints. The OGM results of case 2, a patient with non-Hodgkin lymphoma, were only partially in agreement with previous cytogenetic analyses and helped to better define clonal heterogeneity, overcoming the bias related to clonal selection due to cell culture of cytogenetic techniques. In both cases, OGM analysis led to the identification of molecular markers, helping to define the pathogenesis, classification, and prognosis of the analyzed patients. Despite extensive efforts to study hematologic diseases, standard cytogenetic methods display unsurmountable limits, while OGM is a tool that has the power to overcome these limitations and provide a cytogenetic analysis at higher resolution. As OGM also shows limits in defining regions of a repetitive nature, combining OGM with CBA to obtain a complete cytogenetic characterization would be desirable.
Protection of Testis against Lipopolysaccharide-Induced Toxicity: Mildronate-Induced L-Carnitine Depletion as a Modulator of Gut Microbiome Composition and Gastrointestinal Inflammation
Authors: Gureev Artem P. , Babenkova Polina I. , Nesterova Veronika V. , Tsvetkova Arina D. , Gryaznova Mariya V. , Shaforostova Ekaterina A.
Published: December 2023

L-carnitine plays a critical role in sperm functioning and maintaining male fertility. Mildronate is a widely used drug for treating cardiovascular diseases. Mildronate inhibits L-carnitine biosynthesis and transport into cells while increasing glucose supply. Therefore, it is speculated that mildronate may impair male fertility by depleting L-carnitine. On the other hand, mildronate is known to have anti-inflammatory effects, which can positively influence the male reproductive system in certain physiological conditions. In this study, we induced inflammation in mice through lipopolysaccharide (LPS) injections and examined some inflammation markers in the testes and intestine, which contribute significantly to the development of systemic inflammation. We demonstrated that mildronate reduces inflammation in mouse testes and preserves mitochondrial DNA integrity. Importantly, mildronate-induced L-carnitine depletion did not have a negative impact on testicular properties or sperm count. We propose that the anti-inflammatory effect of mildronate may be linked to its action on the bacterial composition of the gut microbiome. Mildronate increases the Firmicutes/Bacteroidetes ratio, which is reduced after LPS injections. In contrast to L-carnitine supplementation, mildronate does not decrease the level of Alloprevotella, a bacterial genus that is necessary for reducing inflammation. Additionally, mildronate decreased the expression of pro-inflammatory cytokines and inflammation markers in the intestine, which aligns with our hypothesis regarding its anti-inflammatory effect.
The Duality of Paul in Pier Paolo Pasolini’s Saint Paul: The Katechon and the Collapse of a Film Project
Authors: Collins Jason Michael
Published: December 2023

Recent scholarship on Pier Paolo Pasolini has put into focus many of the Italian intellectual’s lesser-known works. Among these is his screenplay for an unrealized film on the topic of the apostle Paul, San Paolo. Analyses of the film address Pasolini’s portrayal of Paul as dichotomic, as a representation of both revolutionary and conformist. In examining the criticism that addresses the duality of Saint Paul’s, this representation proves essential to understanding the role Pasolini intended the apostle to play. Paul, one of the architects of the Christian religion, is in fact the katechon that he names in 2 Thessalonians. Paul as the katechon is thus the force that holds back evil and annihilation. In doing so, however, he also prevents Man’s final redemption. As such, his portrayal of Paul is blasphemy, and Pasolini sent this screenplay to Don Emilio Cordero, head of Sampaolo Films, a Catholic film company charged with making religious movies in line with Church doctrine. This depiction of Paul proves one reason the film remains unmade and not solely the astronomical costs evident from the screenplay, as has been generally accepted until now.
Cells in Atherosclerosis: Focus on Cellular Senescence from Basic Science to Clinical Practice
Authors: Molnár Andrea Ágnes , Pásztor Dorottya Tímea , Tarcza Zsófia , Merkely Béla
Published: December 2023

Aging is a major risk factor of atherosclerosis through different complex pathways including replicative cellular senescence and age-related clonal hematopoiesis. In addition to aging, extracellular stress factors, such as mechanical and oxidative stress, can induce cellular senescence, defined as premature cellular senescence. Senescent cells can accumulate within atherosclerotic plaques over time and contribute to plaque instability. This review summarizes the role of cellular senescence in the complex pathophysiology of atherosclerosis and highlights the most important senotherapeutics tested in cardiovascular studies targeting senescence. Continued bench-to-bedside research in cellular senescence might allow the future implementation of new effective anti-atherosclerotic preventive and treatment strategies in clinical practice.
Exploring the Contribution of the Transporter AGT1/rBAT in Cystinuria Progression: Insights from Mouse Models and a Retrospective Cohort Study
Authors: Mayayo-Vallverdú Clara , Prat Esther , Vecino-Pérez Marta , González Laura , Gràcia-Garcia Silvia , San Miguel Luz , Lopera Noelia , Arias Angela , Artuch Rafael , López de Heredia Miguel , Torrecilla Carlos , Rousaud-Barón Ferran , Angerri Oriol , Errasti-Murugarren Ekaitz , Nunes Virginia
Published: December 2023

More than 20 years have passed since the identification of SLC3A1 and SLC7A9 as causative genes for cystinuria. However, cystinuria patients exhibit significant variability in the age of lithiasis onset, recurrence, and response to treatment, suggesting the presence of modulatory factors influencing cystinuria severity. In 2016, a second renal cystine transporter, AGT1, encoded by the SLC7A13 gene, was discovered. Although it was discarded as a causative gene for cystinuria, its possible effect as a modulatory gene remains unexplored. Thus, we analyzed its function in mouse models of cystinuria, screened the SLC7A13 gene in 34 patients with different lithiasic phenotypes, and functionally characterized the identified variants. Mice results showed that AGT1/rBAT may have a protective role against cystine lithiasis. In addition, among the four missense variants detected in patients, two exhibited a 25% impairment in AGT1/rBAT transport. However, no correlation between SLC7A13 genotypes and lithiasis phenotypes was observed in patients, probably because these variants were found in heterozygous states. In conclusion, our results, consistent with a previous study, suggest that AGT1/rBAT does not have a relevant effect on cystinuria patients, although an impact in patients carrying homozygous pathogenic variants cannot be discarded.
Epstein–Barr Virus and Human Endogenous Retrovirus in Japanese Patients with Autoimmune Demyelinating Disorders
Authors: Cossu Davide , Tomizawa Yuji , Sechi Leonardo Antonio , Hattori Nobutaka
Published: December 2023

Multiple sclerosis (MS), neuromyelitis optica spectrum disorder (NMOSD), and myelin oligodendrocytes glycoprotein-antibody disease (MOGAD) are distinct autoimmune demyelinating disorders characterized by varying clinical and pathological characteristics. While the precise origins of these diseases remain elusive, a combination of genetic and environmental factors, including viral elements, have been suggested as potential contributors to their development. Our goal was to assess the occurrence of antibodies against pathogenic peptides associated with Epstein–Barr virus (EBV) and the human endogenous retrovirus-W (HERV-W) in serum samples obtained from Japanese individuals diagnosed with MS, NMOSD, and MOGAD and to make comparisons with a group of healthy controls (HCs). We conducted a retrospective analysis involving 114 Japanese participants, comprising individuals with MS (34), NMOSD (20), MOGAD (20), and HCs (40). These individuals were tested using a peptide-based enzyme-linked immunosorbent assay. A marked increase in antibody response against EBV nuclear antigen 1 (EBNA1)386–405 was observed in the serum of MS and MOGAD patients, as compared to HCs. Notably, we observed a correlation between antibodies against EBNA1386–405 and HERV-W486–504 peptides in a subset of the antibody-positive MS patients. These findings emphasize the involvement of EBV in the pathogenesis of MS and potentially MOGAD, suggesting its role in the reactivation of HERV-W.
Effective Antiviral Application of Antisense in Plants by Exploiting Accessible Sites in the Target RNA
Authors: Gruber Cornelia , Gursinsky Torsten , Gago-Zachert Selma , Pantaleo Vitantonio , Behrens Sven-Erik
Published: December 2023

Antisense oligodeoxynucleotides (ASOs) have long been used to selectively inhibit or modulate gene expression at the RNA level, and some ASOs are approved for clinical use. However, the practicability of antisense technologies remains limited by the difficulty of reliably predicting the sites accessible to ASOs in complex folded RNAs. Recently, we applied a plant-based method that reproduces RNA-induced RNA silencing in vitro to reliably identify sites in target RNAs that are accessible to small interfering RNA (siRNA)-guided Argonaute endonucleases. Here, we show that this method is also suitable for identifying ASOs that are effective in DNA-induced RNA silencing by RNases H. We show that ASOs identified in this way that target a viral genome are comparably effective in protecting plants from infection as siRNAs with the corresponding sequence. The antiviral activity of the ASOs could be further enhanced by chemical modification. This led to two important conclusions: siRNAs and ASOs that can effectively knock down complex RNA molecules can be identified using the same approach, and ASOs optimized in this way could find application in crop protection. The technology developed here could be useful not only for effective RNA silencing in plants but also in other organisms.
Accuracy of Albumin, Globulin, and Albumin–Globulin Ratio for Diagnosing Periprosthetic Joint Infection: A Systematic Review and Meta-Analysis
Authors: Choe Hyonmin , Kamono Emi , Abe Koki , Hieda Yuta , Ike Hiroyuki , Kumagai Ken , Kobayashi Naomi , Inaba Yutaka
Published: December 2023

Periprosthetic joint infection (PJI) is one of the most intractable orthopedic diseases, partly because of the difficulty in differentiating septic from aseptic conditions. We aimed to evaluate and consolidate the diagnostic accuracy of the quantitative assessment of serum albumin (Alb), globulin (Glb), and albumin–globulin ratio (AGR), alone or in combination with the inflammatory marker, C-reactive protein (CRP), for PJI. We searched the PubMed, CINAHL, and Cochrane Library databases for studies that quantitatively measured Alb, Glb, or AGR for the diagnosis of PJI up until the 30 April 2023. A total of 2339 patients were included from 10 studies, including 845 patients with a definitive diagnosis of PJI and 1494 with non-PJI. The pooled sensitivity, specificity, and area under the curve (AUC) in the summary receiver-operating characteristic curve were as follows: 0.625, 0.732, and 0.715 for Alb; 0.815, 0.857, and 0.887 for Glb; 0.753, 0.757, and 0.875 for AGR; 0.788, 0.837, and 0.876 for CRP; 0.879, 0.890, and 0.917 for the CRP–Alb ratio; and 0.845, 0.855, and 0.908 for the CRP–AGR ratio. Serum Alb, Glb, and AGR levels are feasible and accurate diagnostic markers for PJI, and the combination of these markers with CRP levels may potentially improve preoperative serum diagnostic accuracy. Future prospective studies are required to verify these findings because of the small numbers of included studies.
Comparing Non-Invasive Spectrophotometry to Hematology Analysis for Hemoglobin Measurements in Sickle Cell Disease Patients
Authors: Yassen Khaled , Omer Nawal , Alsahaf Fatimah , Al Amer Fatima , Alhamad Fatimah , Alherz Imran , Bushehab Abdulaziz , Alniniya Fatma , Alwabari Maryam
Published: December 2023

Patients with sickle cell disease (SCD) require repeated blood sampling for hemoglobin (Hb) concentration measurements. The primary aim of this study was to compare non-invasive spectrophotometric hemoglobin (SpHb, g/dL) measurements to those taken via an automated hematology analyzer (Hb, g/dL) in patients with SCD visiting outpatient clinics and to investigate the correlations and agreements between both measurement techniques. Secondarily, we aimed to identify the SpHb cut-off concentration for the diagnosis of anemia and to monitor the effects of the pleth variability index (PVI, %) and perfusion index (PI) on SpHb measurements. The results gained from the examination of one hundred and fifty-eight patients indicated that the SpHb measurements overestimated the lab Hb concentrations, with a mean (SpHb-Hb) bias of 0.82 g/dL (SD 1.29). The SpHb measurements were positively correlated with the Hb measurements (Kendall’s tau correlation (τ), n = 158, τ = 0.68, p < 0.001), with an intra-class correlation (ICC) of 0.67 and a 95% CI from 0.57 to 0.74 (p = 0.000). The SpHb cut-off concentration to diagnose anemia was 11.4 and 11.7 g/dL for males and females, respectively. SpHb sensitivity was low for males and females at 64.4% and 57.1%; however, the specificity was higher at 90.9% and 75%, with positive predictive values (PPVs) of 95.6 and 85.7, respectively. No correlation existed between SpHb measurements and the PVI (%) in contrast with a moderate correlation with the PI (r = 0.049, p = 0.54, and r = 0.36, p < 0.001, respectively). The mean PI was low at 2.52 ± 1.7. In conclusion, the SpHb measurements were consistently higher than the lab Hb concentrations, with a positive correlation. The sensitivity and precision of the SpHb measurements were lower than expected. However, the SpHb specificity and its positive predictive values (PPVs) indicated that it is less likely for a patient with a positive SpHb test result for anemia to be non-anemic. These results will allow SpHb measurement to play a role in excluding the presence of anemia. In light of the low PI values determined, the SpHb measurements were challenging to take and, thus, require further technological improvements.
Recent Developments and Knowledge in Intelligent and Safe Marine Navigation
Authors: Zhang Mingyang , Zhang Xinyu , Fu Shanshan , Dai Lei , Yu Qing
Published: December 2023

Marine navigation is the lifeblood of international trade and the global economy, facilitating over 80% of worldwide commerce [...]
Functional Assessment of Long-Term Microvascular Cardiac Allograft Vasculopathy
Authors: Bora Noemi , Balogh Orsolya , Ferenci Tamás , Piroth Zsolt
Published: December 2023

Background: Cardiac allograft vasculopathy (CAV) is a leading cause of death and retransplantation following heart transplantation (HTX). Surveillance angiography performed yearly is indicated for the early detection of the disease, but it remains of limited sensitivity. Methods: We performed bolus thermodilution-based coronary flow reserve (CFR) and index of microcirculatory resistance (IMR) and fractional flow reserve (FFR) measurements in HTX patients undergoing yearly surveillance coronary angiography without overt CAV. Results: In total, 27 HTX patients were included who had 52 CFR, IMR, and FFR measurements at a mean of 43 months after HTX. Only five measurements were performed in the first year. CFR decreased significantly by 0.13 every year (p = 0.04) and IMR tended to increase by 0.98 every year (p = 0.051), whereas FFR did not change (p = 0.161) and remained well above 0.80 over time. After one year, CFR decreased significantly (p = 0.022) and IMR increased significantly (p = 0.015), whereas FFR remained unchanged (p = 0.72). Conclusions: The functional status of the epicardial coronary arteries of transplanted hearts did not deteriorate over time. On the contrary, a significant decrease in CFR was noted. In view of the increasing IMR, this is caused by the deterioration of the function of microvasculature. CFR and IMR measurements may provide an early opportunity to diagnose CAV.