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A shared aperture multiport antenna for rural wireless communication and safety monitoring using TVWS, ISM, and 5G mmWave bands
Abstract To accommodate the antenna demand for rural communication and safety monitoring a shared aperture muti-port antenna sensor is presented for three different operating frequencies covering both Sub- 6 GHz and 5G millimeter-wave bands. The antenna sensor is designed on a single substrate, while different ports are connected to different radiating elements to achieve multiple frequency responses. The simulated and measured findings show that the presented antenna can cover TV-white-space (TVWS) frequency band, 5.8 GHz ISM band, and the 5G millimeter-wave frequency band. At the TVWS band, the antenna yields an omnidirectional radiation pattern with a peak gain of 3.14 dBi. While the antenna provides a unidirectional radiation pattern at the 5.8 GHz ISM and 5G millimeter-wave band with a peak gain of 6.76 dBi and 7.68 dBi, respectively. Moreover, all the antenna ports offer a radiation efficiency of more than 92%. Additionally, the 2-port MIMO configuration at the 5G millimeter-wave band shows excellent MIMO diversity performances by utilizing the proposed novel decoupling structure, which consists of metallic stub and cavity vias. Overall performance of the proposed antenna, especially the three operating frequency band including the TVWS band, makes it a viable solution for the sensing and communication in rural areas.
Distinct evolutionary regimes across domains of the Plasmodium falciparum CSP gene
Determining potential immunomodulatory drug efficacy in sepsis using ELISpot
Single centre experience with conversion surgery for advanced and metastatic gastric cancer in Slovakia
Research on the impact of green finance on collaborative governance of pollution reduction and carbon reduction
A cross-sectional study of the association between plant-based diet indices and kidney stones among Iranian adults
Synthesis, characterization, and polyester dyeing performance of azo barbituric and thiobarbituric acid disperse dyes
Abstract This study explores the synthesis, characterization, and application of 23 azo disperse dyes synthesized based on barbituric and thiobarbituric acid derivatives for polyester coloration. The dyes were synthesized via the coupling of diazotized aniline derivatives with barbituric and thiobarbituric acid derivatives. The structures of these synthesized dyes are assigned using FT-IR and1H NMR spectroscopy. UV-Vis spectroscopy revealed absorption maxima ranging from 360 to 440 nm, with good correlation between experimental and theoretical values calculated using TD-DFT. The dyes exhibited significant pH-dependent spectral shifts, demonstrating potential as pH indicators. Application to polyester fabrics showed excellent wash fastness (rating 5) for all dyes, with varying results for perspiration, scorch, and light fastness. The dyes demonstrate dye exhaustion ranging from 43.6 to 92.5%, with color strength (K/S) values up to 22.00, while computational insights from DFT calculations provide deep understanding of structure-property relationships. The study demonstrated that substituent type and position significantly influenced dye properties and performance. Notably, dye 17 (4-OCH3) exhibited the highest K/S (21.40) and K/Ssum (349.05) values, correlating with its low HOMO-LUMO gap (0.1177 eV). These findings contribute to understanding the structure-property relationshipsin azo disperse dyes and their application in polyester dyeing.
Presence and genetic variability of Staphylococcus aureus subsp. anaerobius isolated from small ruminants in Central Europe
Abstract Staphylococcus aureus subsp. anaerobius (SAAN) causes abscesses in small ruminants, known as Morel’s Disease. This study describes the presence of SAAN for the first time in Germany and Austria and examines the phylogenetic relationship among these isolates and previously described European and Sudanese ones. A total of 35 sheep and 10 goat isolates from 12 herds in Germany were available for analysis. SAAN isolates from four Polish goats and three Austrian sheep from different herds were included. Genome comparisons and phylogenetic analyses were conducted using core genome multilocus sequence typing. The comparison of the 52 SAAN core genomes revealed a close phylogenetic relationship among most German isolates (n = 38), with allelic differences ≤ 6 in two clusters associated with ST4581. In contrast, distinct clusters of the same ST included the four Polish goat isolates and two ovine isolates from Austria, respectively. A fifth cluster of ST3756 strains was identified on three German farms (six sheep, one goat) and an Austrian sheep. Tight phylogenetic relationships were observed irrespective of the host species. All isolates shared a common set of virulence genes and few known antimicrobial resistance determinants. The introduction of SAAN into herds is mostly unknown, but purchases appear to play a critical role.
Fitness compatibility and dengue virus Inhibition in a Bangladeshi strain of Aedes aegypti infected with the Wolbachia strain wAlbB
Construction of a prognostic model and identification of key genes in liver hepatocellular carcinoma based on multi-omics data
Abstract Liver hepatocellular carcinoma (LIHC) strongly contributes to global cancer mortality, highlighting the need for a deeper understanding of its molecular mechanisms to enhance patient prognosis and treatment approaches. We aimed to investigate the differential expression of immunogenic cell death-related genes (ICDRGs) and cellular senescence-related genes (CSRGs) in LIHC and their effects on patient prognosis. We combined the GSE25097, GSE46408, and GSE121248 datasets by eliminating batch effects and standardizing the data. After processing, 16 genes were identified as ICDR&CSR differentially expressed genes (ICDR&CSRDEGs), including UBE2T, HJURP, PTTG1, CENPA, and FOXM1. Gene set enrichment analysis indicated a strong enrichment of these genes in pre-Notch expression and processing. Gene set variation analysis revealed 20 pathways with significant differences between the LIHC and control groups. Mutation analysis identified TP53 as the most commonly mutated gene in LIHC samples. A prognostic risk model integrating 12 ICDR&CSRDEGs was developed, showing high precision at 1 year but diminished accuracy at 2 and 3 years. Our constructed prognostic risk model provides valuable insights for predicting patient outcomes and may guide future therapeutic interventions targeting these specific genes. Further research is needed to explore the mechanistic roles of these genes in LIHC progression and treatment response.
Fabrication and evaluation of polylactic acid-curcumin containing carbon nanotubes (CNTs) wound dressing using electrospinning method with experimental and computational approaches
Reducing costs and shortening the cetyltrimethylammonium bromide (CTAB) method to improve DNA extraction efficiency from wintersweet and some other plants
Optimization of SgRNA expression with RNA pol III regulatory elements in Anopheles stephensi
Abstract Anopheles stephensi, a major Asian malaria vector, is invading Africa and has been implicated in recent outbreaks of urban malaria. Control of this species is key to eliminating malaria in Africa. Genetic control strategies, and CRISPR/Cas9-based gene drives are emerging as promising species-specific, environmentally friendly, scalable, affordable methods for pest control. To implement these strategies, a key parameter to optimize for high efficiency is the spatiotemporal control of Cas9 and the gRNA. Here, we assessed the ability of four RNA Pol III promoters to bias the inheritance of a gene drive element inserted into the cd gene of An. stephensi. We determined the homing efficiency and examined eye phenotype as a proxy for non-homologous end joining (NHEJ) events in somatic tissue. We found all four promoters to be active, with mean inheritance rates up to 99.8%. We found a strong effect of the Cas9-bearing grandparent (grandparent genotype), likely due to maternally deposited Cas9.
Comparison of feetme insoles with a motion capture system coupled to force plates for assessing gait and posture
Understanding patient perceptions of access to healthcare centers in one of the major cities of Afghanistan
Artificial intelligence models utilize lifestyle factors to predict dry eye related outcomes
Abstract The purpose of this study is to examine and interpret machine learning models that predict dry eye (DE)-related clinical signs, subjective symptoms, and clinician diagnoses by heavily weighting lifestyle factors in the predictions. Machine learning models were trained to take clinical assessments of the ocular surface, eyelids, and tear film, combined with symptom scores from validated questionnaire instruments for DE and clinician diagnoses of ocular surface diseases, and perform a classification into DE-related outcome categories. Outcomes are presented for which the data-driven algorithm identified subject characteristics, lifestyle, behaviors, or environmental exposures as heavily weighted predictors. Models were assessed by 5-fold cross-validation accuracy and class-wise statistics of the predictors. Age was a heavily weighted factor in predictions of eyelid notching, Line of Marx anterior displacement, and fluorescein tear breakup time (FTBUT), as well as visual analog scale symptom ratings and a clinician diagnosis of blepharitis. Comfortable contact lens wearing time was heavily weighted in predictions of DE symptom ratings. Time spent in near work, alcohol consumption, exercise, and time spent outdoors were heavily weighted predictors for several ocular signs and symptoms. Exposure to airplane cabin environments and driving a car were predictors of DE-related symptoms but not clinical signs. Prediction accuracies for DE-related symptoms ranged from 60.7 to 86.5%, for diagnoses from 73.7 to 80.1%, and for clinical signs from 66.9 to 98.7%. The results emphasize the importance of lifestyle, subject, and environmental characteristics in the etiology of ocular surface disease. Lifestyle factors should be taken into account in clinical research and care to a far greater extent than has been the case to date.