Microorganisms play an important role in soil ecosystems, especially in commercial rice paddy fields. However, it is not understood how organic fertilizers affect microbial communities in these fields. In this study, we used different long-term fertilization treatments (i.e., no fertilizer, chemical fertilization, and 25% - 100% organic fertilizer) to investigate their effects on soil fungal and archaeal communities, rice yield, and soil physicochemical properties, and the interactions of these indicators. The results showed that the organic replacement treatments had a significant effect on the assembly of soil microbial communities in rice fields, while different microbial taxa showed different response patterns to the organic replacement treatments. Species composition and community assembly process of fungal community were more sensitive to the response of organic replacement treatment, and alpha diversity of archaeal community was more sensitive to the response of organic replacement treatment. OM, HN, Phosphatase, and TP were the common soil indicators significantly associated with the three microbial groups, among which OM was the most influential indicator in this study. A total of 18 biomarkers were obtained by difference analysis, distributed in Ascomycota, Basidiomycota and Chytridiomycota. In addition, we obtained the keystones in the community through network analysis and found that the organic replacement treatments affected the microbial keystones by altering the soil HN and OM content, which in turn led to the alteration of the soil microbial community. This study provides new insights into the effects of different fertilization regimes on soil bacterial, fungal and archaeal communities, and also provides a theoretical basis for rational and balanced fertilization in agricultural production.

Objective: To determine the optimal leading follicle size for triggering final oocyte maturation in POSEIDON groups 3 and 4 poor responders undergoing ART cycles. Design: Retrospective cohort study. Setting: University based Infertility Centre. Population: Data of 294 POSEIDON groups 3 and 4 poor responders aged between 20 and 42 years who underwent ICSI following a GnRH antagonist cycle between January 2015 and July 2021 were reviewed. Methods: Among the 342 patients eligible in our database, 294 fulfilling inclusion criteria were assessed for final analyses. Cycles were categorized into two groups according to occurrence of premature ovulation. Premature ovulation was defined as visualization of rupture of at least one of the leading follicles on the day of oocyte retrieval. In addition, number of oocytes retrieved, number of MII oocytes, MII/antral follicle count (AFC) ratio and follicle-oocyte index (FOI) were compared between different leading follicle sizes. Main Outcome Measures: Number of oocytes retrieved, number of MII oocytes, MII/antral follicle count (AFC) ratio and follicle-oocyte index (FOI). Results: Among all, 47 (16.2%) had premature ovulation between the trigger and oocyte pick-up days. The mean size of the leading follicle on the day of trigger was significantly higher in the premature ovulation group than the controls (19.8±2.4 mm vs.18.7±2 mm, respectively; P<0.001). Multivariate logistic regression analyses identified baseline LH (Odds ratio {OR} 1.144, 95% confidence interval {CI} 1.052-1.243; P=0.002), number of follicles >11 mm on the day of trigger (OR 0.580, 95% CI 0.438-0.767; P<0.001), and leading follicle size (OR 1.361, 95% CI 1.130-1.641; P=0.001) as independent predictors of premature ovulation. According to the one-way ANOVA test and non-linear curve estimation model the FOI and MII/AFC ratios peaked when the leading follicle size was between 16-17 mm, respectively. Conclusion: Individualized trigger based on leading follicle size can provide maximum efficiency in ovarian stimulation in POSEIDON expected poor responders. While late trigger may result in premature ovulation, early trigger may also result in less MII. Triggering when the leading follicle size is between 16.5 and 17 mm can help to prevent these negative outcomes and achieve optimal cycle outcome.

The canonical mode of receptor activation consists in the binding of signals or signal-loaded solute binding proteins (SBPs) to sensor domains. Many sensor histidine kinases (SHK), that are activated by SBP binding, are encoded next to their cognate sbp gene. To assess to what degree this is a general rule, we studied three SBPs of Pseudomonas aeruginosa PAO1 that are encoded in the vicinity of genes encoding the AgtS (PA0600) and AruS (PA4982) SHKs. Ligand screening using compound libraries and microcalorimetric studies showed that the SPBs PA0602 and PA4985 both bound preferentially GABA (KD=2.3 and 0.58 microM, respectively), followed by 5-aminovalerate (KD=30 and 1.6 microM, respectively) and ethanoldiamine (KD=2.3 and 0.58 microM, respectively), whereas AgtB (PA0604) recognized exclusively 5-aminovaleric acid (KD=2.9 microM). However, microcalorimetric titrations of the AgtS sensor domain with AgtB or PA0602 in the absence or presence of ligands did not reveal binding. By analogy, bacterial two-hybrid assays failed to show an interaction of PA4985 with the AruS-sensor domain. Vicinal sbp and shk genes are thus not always functionally linked. We previously identified PA0222 as a GABA-specific SBP. The existence of three SBPs for GABA may be related to the role of GABA as an inducer of P. aeruginosa virulence.

In this paper, we investigate joint dictionary representation for Massive MIMO satellite channel and discuss the representation performance. What kind of the dictionary model is satisfied for channel representation is still an unknown field. This paper mainly focuses on the analysis of the joint dictionary for channel representation including uplink and downlink. The main contributions are as follows. Firstly, the conditional constraints for satellite channel representation have been established with joint dictionary, including both uplink constraints and downlink constraints. Secondly, the maximum boundary that dictionary learning can represent channel characteristics is determined, that is, the optimal approximation of channel dictionary was achieved. Finally, channel sparse representation method for joint SVD decomposition at dictionary boundary conditions is proposed.

We propose a novel model for the transport of solute in a vascularised poroelastic material. Our structure comprises a poroelastic matrix with an embedded connected fluid compartment and we consider a solute transported between the two subdomains. Due to the distinct scale separation between the scale where we can visibly see the connected fluid compartment separated from the poroelastic matrix and the overall material body. We apply the asymptotic homogenization technique to derive the new model. The latter consists of a macroscale system of PDEs involving the zero-th order contribution of pressures, velocities, solute concentration and elastic displacements. It effectively accounts for the fluid and solute transport between a poroelastic and fluid network compartments. The model coefficients are to be computed by solving the periodic cell differential problems arising from application of the asymptotic homogenization technique. This work paves the way in understanding mechanically-activated transport with a wide range of applications such as drug delivery in vascularised tumours.

The paper addresses the problem of transforming observable, time-reversible and multi-input single-output discrete-time state equations into the extended observer form which comprises a linear observable component and a nonlinear injection term depending on the inputs, output, and a finite number of their past values. The intrinsic necessary and sufficient conditions for existence of the extended observer form are provided in terms of a certain vector field, defined by the system output and its past values. The algorithm is presented to find a parametrized state transformation that takes the state equations into the considered extended observer form. Two examples, one of them academic, illustrate the theory.

A Case Report of Blunt Cardiac Rupture Secondary to Firearm InjuryAuthors: Laveeza Fatima1, Syeda Amina Gillani1, Syed Irtiza Haider1, Sonia Hurjkaliani2,* Prawin Chandra Kushwaha3

Introduction Chorioangioma is a benign vascular tumor of the placenta that occurs in approximately 1% of pregnancies1. The majority of cases are small and asymptomatic, with symptoms appearing in only 0.01%–0.03% of instances2. Giant chorioangiomas, defined as tumors larger than 4 cm, are remarkably rare, with a prevalence ranging from 1:9,000 to 1:50,000 3. While many chorioangiomas are detected during postnatal examination of placental histology, large chorioangiomas are associated with significant maternal and fetal complications. These include preterm labor, intrauterine growth restriction (IUGR), pre-eclampsia, polyhydramnios as well as hydrops fetalis, disseminated intravascular coagulation (DIC), and mortality 4–6.Despite significant advancements in therapeutic approaches, perinatal mortality rates remain high, estimated to be more than 30%7. Therefore, it is essential to highlight the importance of timely identification, comprehensive prenatal monitoring, and appropriate interventions to prevent fetal morbidity and mortality8. In this report, we present a case involving multiple giant chorioangiomas in a 23-year-old woman, which were associated with fetal complications and ultimately resulted in the neonate’s death due to hydrops fetalis. This case emphasizes the complexity of this condition and underscores the necessity for a multidisciplinary approach in evaluating and counseling patients with intricate fetal anomalies. This study has been reported in line with the CARE criteria9.

Aims LA functions assessment using 2D speckle tracking echocardiography and 3D transthoracic echocardiography in moderate-severe mitral valve stenosis in comparison to normal subjects. Methods and results Fifty patients and 50 controls were studied. Patients’ mean age was 40.2 ±8.8 years, the majority were female 45(81.8%), the mean body surface area was 1.81 ± 0.16 m2. 3D LA maximum (LAVmaxI) and minimum (LAVminI) volumes indexed to BSA were both significantly higher in MS than in control group, whereas 3D LA EF was significantly lower in MS than in control group, both with p 0.001.LA strain reservoir, conduit, and contraction parameters were significantly lower in the MS group than in control group (p =0.001). All LA assessment parameters (3D LAVmaxI, 3D LAVminI, 3D LAEF, 2D LASr, 2D LAScd, 2D LASct, 2D LAD, 2D LAVI) correlated with each other (p <0.01). However, only 3D LAEF, 2D LASr, 2D LAScd, and 2D LASct showed correlation with the mitral valve area with p <0.05, but 3D LAVmaxI and 3D LAVminI did not. Additionally, in comparison of moderate and severe MS subgroups, 3D LAVmaxI and 3D LAVminI did not show any statistically significant differences between the two groups, although 3D LAEF, 2D LASr, 2D LAScd, and 3D LASct showed significant difference between the two group( p<0.05). Conclusions Comprehensive LA assessment is of clinical significance for its predictive and prognostic value in mitral stenosis. In addition, LA function assessment by 3D echocardiography and 2D speckle tracking echocardiography correlate better with MS severity than conventional LA size parameters.

This paper investigates a stochastic two predators-one prey system with ratio-dependent functional response under regime switching. The stochastic extinction of species and the existence of ergodic stationary distribution for the system are established, and the transition probability of the solution converging to the stationary distribution also is obtained. To illustrate our theoretical results, the numerical examples and simulations are presented. Our findings also demonstrate that the stationary distribution and extinction of species for the stochastic two predators-one prey system are affected by random perturbations, leading to an imbalance in ecology.

Geographic barriers, such as mountain ranges, impede genetic exchange among populations, promoting diversification and speciation. The effectiveness of these barriers in limiting gene flow varies between lineages due to each species’ unique dispersal modes and capacities. Our understanding of how the Andes orogeny contributes to species diversification comes from well-studied vertebrates and a few insects, neglecting organisms unable to fly or walk long distances. Additionally, although the Andean altitude is usually assumed to be the driver of diversification, it is not often formally tested. This limits our understanding of how landscape changes, particularly altitude, influence population structure. Some arachnids, such as the colorful spider Gasteracantha cancriformis have been hypothesized to disperse long distances via ballooning (i.e., using their silk to interact with the wind). Still, we do not know how the environment and geography shape its genetic diversity. To address this question, we sampled thousands of loci across the distribution of this spider and implemented population genetics, phylogenetic, and landscape genetic analyses. We identified two genetically distinct groups structured by the Central Andes and a third less structured group in the northern Andes that shares ancestry with the previous two. This structure is largely explained by the elevation along the Andes, which decreases in some regions, facilitating cross-Andean dispersal and gene flow. Our findings support that elevation in the Andes plays a major role in structuring populations in South America, but the strength of this barrier can be defeated by organisms with long-distance dispersal modes together with altitudinal depressions

In the current study, the waste-to-wealth concept has been applied. We were focused on using waste palm oil sludge to isolate and characterize various microorganisms that produce various industrial significant enzymes, such as polyphenol oxidases. We were able to isolate several bacteria that were discovered to be tyrosinase producers: Bacillus cereus, Acinobacter seifertii, Klebsiella variicola, and Pseudomonas stutzeri. Laccase producers Trametes polyzona, Bacillus subtilis, Bacillus pumilus, and Staphylococcus condimenti, as well as lipase producers. After they were grown for 18 hours at 35°C, pH 6.0, with substrates of 0.1% casein and 2.0% glucose, it was confirmed that they produce industrially important enzymes. Further, we focused specifically on B. cereus because it was evident that it produces tyrosinase. Lipase is another targeted enzyme, and S. condimenti was discovered to be a hyperproducer. The production conditions included are 24-hour incubation period at 40°C and pH 6.0, while typical substrates like starch and coconut oil were employed. 43 kDa-identified lipase that was found to be active at pH 7.0 and 40°C. Salts like NaCl, different detergents like Triton X-100, and Tween-80, and many metal ions all enhanced the activity, making the enzyme unique in its biological function. Only 40% inhibition has been seen, even with EDTA (2.5 mM), which does not completely block its function. Very few organic solvents such as butanol, acetone, and DMF are involved in inhibiting its activity.

To deal with the issue of poor visibility caused by water turbidity during the operation of underwater robotics, we propose an attenuation prior formation model-guided enhancement algorithm for turbid underwater images. Specifically, we establish an imaging model suitable for turbid water by studying the influence of water turbidity on light attenuation and transmission. For this model, we first propose a scoring formula that takes into account multiple prior knowledge to estimate the global background light with the help of hierarchical searching technique. Then, we make full use of the advantages of different scale neighborhoods in image restoration, and propose an adaptive multi-scale weighted fusion transmission estimation method to balanc e brightness and contrast. In addition, to correct the color of the images with a natural appearance, a variation of white balance is introduced as post-processing. Extensive experiments on two image datasets show that our algorithm achieves better results than state-of-the-art methods.

Aims: The pharmacokinetic (PK) profiles of voriconazole in intensive care unit (ICU) patients is quite different. We aimed to develop a population pharmacokinetic (PopPK) model to evaluate the effects of various biological covariates and the use of extracorporeal membrane oxygenation (ECMO) and continuous renal replacement therapy (CRRT). Methods: The modeling analysis of the pharmacokinetic parameters were conducted using the nonlinear mixed-effects modeling method (NONMEM) using a two-compartment model. Monte Carlo simulations (MCSs) were performed to observe the probability of target attainment (PTA) when receiving CRRT or not under different dosage regimens, different quick C-reactive protein (qCRP), and different minimum inhibitory concentration (MIC) ranges. Results: A total of 408 critically ill patients with 746 voriconazole concentration–time data points were included in this study. A two-compartment population PK model with qCRP, CRRT, creatinine clearance rate (CLCR), platelet (PLT), and prothrombin time (PT) as fixed effects was developed using the NONMEM. Conclusion: The results showed that qCRP, CRRT, CLCR, PLT, and PT affected the PK parameter clearance. The most commonly used clinical regimen of 200 mg q12h is sufficient for the most common sensitive pathogens (MIC ≤ 0.25 mg/L) in China, regardless of whether CRRT is performed, and at what level qCRP is. When the MIC is 0.5 mg/L, 200 mg q12h is insufficient only when qCRP is less than 40 mg/L and CRRT is performed. When MIC ≥ 2 mg /L, a dose of 300 mg q12h cannot achieve ≥ 90% PTA, and a higher dose needs to be explored.

1. This study introduces a novel approach for quantitatively assessing sea-surface paleotemperatures exemplified in the study of the Upper Paleozoic of Siberia. 2. The method relies on the evaluation of the taxonomic composition of biota. It utilizes a comprehensive dataset encompassing the geographic distribution and ecology of various biotic groups in Siberia and adjacent regions, leveraging the newly developed PaleoSib database. Fossils collected from individual locations often exhibit a wide spectrum of paleotemperatures. 3. To address this variability, we developed an algorithm for calculating average biotic paleotemperatures in each locality/time slice. Utilizing the PaleoSib database, our computations have unveiled a coherent pattern of paleoclimate dynamics, particularly Sea Surface Temperature, across Siberian basins during the Late Paleozoic era. 4. These findings significantly contribute to a refined comprehension of paleoclimate and paleotectonic dynamics in the region during that specific time. To enhance paleotemperature analyses, we have integrated lithological indices with biotic ones, fortifying the overall methodology and furnishing a more robust framework for interpreting paleoclimate data. We aim to incorporate this method into the Paleobiology Database, enhancing its accessibility and fostering its adoption by the broader scientific community.

Understanding how 3D habitat structure drives biodiversity patterns is key to predicting how habitat alteration and loss will affect species and community-level patterns in the future. To date, few studies have contrasted the effects of three-dimensional (3D) habitat composition with those of 3D habitat configuration on biodiversity, with existing investigations often limited to measures of taxonomic diversity (i.e., species richness). Here, we examined the influence of Light Detecting and Ranging (LiDAR)-derived 3D habitat structure–both its composition and configuration–on multiple facets of bird diversity. Specifically, we used data from the National Ecological Observatory Network (NEON) to test the associations between eleven measures of 3D habitat structure and avian species richness, functional and trait diversity, and phylogenetic diversity. We found that 3D habitat structure was the most consistent predictor of avian functional and trait diversity, with little to no effect on species richness or phylogenetic diversity. Functional diversity and individual trait characteristics were strongly associated with both 3D habitat composition and configuration, but the magnitude and the direction of the effects varied across the canopy, subcanopy, midstory, and understory vertical strata. Our findings suggest that 3D habitat structure influences avian diversity through its effects on traits. By examining the effects of multiple aspects of habitat structure on multiple facets of avian diversity, we provide a broader framework for future investigations on habitat structure.

This article looks at a 16th-century medical book called Le medicine partenenti alle infermità delle donne by Giovanni Marinello (Venice, 1574), who wrote it intending to assist midwives and other delivery attendants in improving their professional practices. It is a very successful text that serves as an illustration of the rich body of treatises on women’s diseases that were published in Europe in the sixteenth century and up until the first half of the seventeenth and which, despite disagreements and controversies, reflect a rekindled and passionate interest in medicine for the uniqueness of the female body that is beginning to diverge from the scholastic view of woman as an imperfect male. In addition, Marinello’s work depicts the nature of contemporary daily life. It provides in great detail natural cures for sterility issues and all conditions related to pregnancy, childbirth, and postpartum, always within the bounds of what is reasonable for a period defined by the ideas of the Council of Trent.

In Saccharomyces cerevisiae the histone H2A variant H2A.Z replaces H2A in about 10% of nucleosomes. H2A.Z is involved in all DNA-templated processes including transcriptional regulation. H2A.Z is found in nucleosomes flanking the nucleosome free region of promoters. While deletion of HTZ1 in S. cerevisiae leads to rapamycin sensitivity, the molecular mechanism behind this sensitivity is not well understood. Here we show that rapamycin sensitivity is yeast strain-specific. When treated with rapamycin, the htz1D strain is unable to properly express several genes found in Target Of Rapamycin protein complexes as well as genes whose expression are critical for amino acid uptake by yeast, including GAP1 and GTR1. We also find an epistatic relationship between HTZ1 and GTR1 (whose protein product is a member of the exit from rapamycin-induced growth arrest complex and a GTPase that is required for the proper activation of the Tor1 kinase. Although GTR1 is normally upregulated in the presence of rapamycin, overexpression of GTR1 does not rescue the sensitivity phenotype seen in the htz1D strain. Additionally, the phosphorylation of downstream targets of the protein kinase A is affected in the htz1D strain. Gene expression defects, coupled with disrupted protein kinase A signaling pathway combine to make the htz1D strain sensitive to rapamycin. Our study has identified a novel role for histone H2A.Z in regulating both the TOR and PKA signal pathways.

Non-melanoma skin cancer (NMSC) encompasses various skin malignancies, primarily basal cell carcinoma (BCC) and squamous cell carcinoma (SCC). Extended exposure to environmental elements, particularly solar ultraviolet (UV) radiation, triggers oxidative stress in skin tissues, resulting in DNA damage that is instrumental in the initiation and progression of NMSC. The imbalance between pro-inflammatory and anti-inflammatory cytokines plays a significant role in the development and progression of skin cancer. Resveratrol (RES), an organic phytoalexin present in grape skins and seeds, demonstrates promising chemopreventive and anti-neoplastic capabilities against NMSC. This research revealed that the synergistic lipid-nanocarrier incorporating RES and 5-FU showed significantly enhanced effectiveness in curtailing the proliferation of malignant cells, notably in the A431 cell line, in comparison to traditional formulations. Moreover, the study illustrated that the RES and 5-FU amalgamation exerted a combined effect in hindering cellular proliferation and triggering apoptosis in cancerous cells, as evidenced in both in vitro and in vivo experiments. Furthermore, RES is known for its antioxidant attributes, which may alleviate the impact of ROS triggered by UV exposure, thus diminishing DNA impairment and mutations. These observations imply that RES might offer chemopreventive benefits for NMSC through its role in apoptosis and mitigating oxidative stress. This research offers critical insights into the prospective utility of RES as a safer, more effective intervention for NMSC, though additional investigations are required to thoroughly decipher the underlying molecular mechanisms and clinical implications.

Hypothyroidism, a prevalent chronic health condition, can lead to serious complications if untreated. Management typically involves synthetic thyroid hormone replacement, with dosage being crucial for effective treatment. However, factors like stress and weight fluctuations impact thyroid hormone levels, posing challenges in dosage determination. This study introduces an innovative approach using machine learning for precise dosage prediction. We developed a synthetic thyroid disease dataset, encompassing parameters such as age, gender, TSH, T3, and T4, to train and evaluate various machine learning models. The study aimed to surpass the current state-of-the-art in dosage prediction, which is Poisson Regression with a 64.8% accuracy. Our findings reveal that Ridge Regression and Lasso Regression achieved an accuracy of 82%, while Support Vector Regression Machines attained 83%. Notably, k-Nearest Neighbour (k-NN) algorithm demonstrated the highest accuracy of 86%, marking a significant improvement of over 21% from the existing standard. This enhancement in prediction accuracy holds potential for optimizing treatment efficacy and patient outcomes in hypothyroidism management.

1. Invasive alien species constitute a major threat for aquatic systems due to their potential impact on endemic biodiversity, ecosystem functioning, infrastructure, and possible sanitary issues. It is therefore crucial to obtain information on their presence, abundance and distribution. 2. The red blood mysid Hemimysis anomala, which originated from the Ponto Caspian area, has recently settled in western European lakes, including Lake Geneva. 3. Although divers have frequently reported the presence and development of this small crustacean over the last decade, no monitoring has yet been proposed. 4. During a period of 2.5 years, we tested and optimized an eDNA approach by comparing two PCR techniques, quantitative and digital droplet PCR, to assess the presence, abundance and dynamics of the animal as well as that of a potential predator, the perch (Perca fluviatilis). 5. We show and discuss the efficiency of the methods and reveal for the first time the seasonal dynamics of Hemimysis anomala at a selected site in Lake Geneva. We highlight, in agreement with diving observations that the animal’s abundance is high in winter and declines rapidly in early spring, concomitantly with temperature increase and perch presence.

Dry eye disease (DED) represents a prevalent visual ailment, defined by insufficient wetting and lubrication of the ocular surface. The principal management strategy for dry eye involves the application of artificial tear solutions to mitigate eye discomfort. Moreover, immune-modulating agents such as cyclosporine A and tacrolimus (FK506) are employed in the therapeutic regimen for this condition. These drugs regulate the immune response and reduce ocular inflammation. Tacrolimus (TAC) is 10-100 times more effective than cyclosporine and has a better safety profile. Nevertheless, the modest aqueous solubility and substantial molecular size of TAC present obstacles to its efficient administration to the eye. Consequently, a range of TAC formulations including ointments, micelles, liposomes, and nanocarriers are under exploration to enhance ocular delivery. Findings from this investigation indicated that TAC impedes the secretion of pro-inflammatory cytokines and dampens immune activity by restraining the activation of T and B lymphocytes. Furthermore, TAC elevates goblet cell populations in the conjunctiva, pivotal for mucin production and the preservation of ocular surface integrity. Additionally, using TAC-loaded liposomes can further enhance its therapeutic efficacy by improving ocular bioavailability. Furthermore, 0.03% TAC eye drops applied directly to the eye successfully improve tear film stability and the health of the eye’s surface in patients with DED. Overall, TAC has shown promising effects in treating DED by reducing inflammation and improving tear secretion in experimental and clinical studies. However, more studies are needed to fully understand the mechanism of action and long-term effects of TAC on DED.

The aim of the study was to evaluate Photobiomodulation (PBM) as an analgesic alternative following endodontic instrumentation. The patient received single-session endodontic treatment on both upper right molars. After standard treatment, PBM was applied to tooth 17, while tooth 16 underwent a simulation. At the end of the procedures, the patient received a Visual Analog Scale to record pain at 4, 8, and 12 hours post-treatment, along with analgesics for use only in case of maximum pain. After 24 hours, a reassessment was conducted. There was a reduction of over 50% in spontaneous pain parameters at all time points, reaching zero at 4 hours. There was a reduction of over 50% in vertical percussion and about 29% in horizontal percussion. Palatal palpation showed an increase of 36%. There was no need for analgesic use. It is concluded that PBM may be an analgesic alternative for post-endodontic instrumentation spontaneous pain.

To investigate the shear capacity and behavior of recycled aggregate concrete (RAC) deep beams reinforced with basalt fiber-reinforced polymer (BFRP) bars without shear reinforcements. A total of nine RAC deep beams with a 100% replacement ratio of recycled aggregate (RA) were constructed and tested in four-point bending. Four key variables, shear span-to-depth ratio ( ), longitudinal reinforcement ratio ( ), beam effective depth ( ) and compressive strength of RAC ( ), were determined to explore the failure modes, relationship between load and deflection, first cracking load and strain distribution in longitudinal reinforcements. Results from tests indicated that diagonal tensile failure was the predominant failure mode in BFRP-RAC beams. The shear capacity increased when the shear span-to-depth ratio decreased and the compressive strength of RAC increased. In the light of the experimental results, the model of strut-and-tie model (STM) was used to analyze and calculate. In addition, the shear capacity obtained by the experiment is compared with the calculated value by using STM. It showed that the calculated values are in good agreement with the test values of shear capacity of deep beams.