Ultrathin ternary PtNiRu nanowires for enhanced oxygen reduction and methanol oxidation catalysis via d-band center regulation.

Direct methanol fuel cells rely on the efficiency of their anode/cathode electrocatalysts to facilitate the methanol oxidation reaction and oxygen reduction reaction, respectively. Platinum-based nanocatalysts are at the forefront due to their superior catalytic properties. However, the high-cost, scarcity, and low CO tolerance of platinum pose challenges for the scalable application of DMFCs. Herein, we report novel ultrathin ternary PtNiRu alloy nanowires to improve Pt utilization and CO tolerance. These novel electrocatalysts incorporate the oxophilic metal Ru into ultrathin PtNi nanowires, aiming to enhance the intrinsic activity of platinum while leveraging the long-term durability and high utilization efficiency provided by the bimetallic synergistic effect. The PtNiRu NWs significantly enhance both mass activity and specific activity for ORR, performing about 6.9 times and 3.9 times better than commercial Pt/C, respectively. After a rigorous durability test of 10,000 cycles, the PtNiRu NWs only exhibited a 25.2 % loss in mass activity. Additionally, for MOR, the MA and SA of PtNiRu NWs exceed that of Pt/C catalyst by 4.30 and 2.72 times, respectively, and exhibit exceptional resistance to CO poisoning. Theoretical insights from density functional theory calculations suggest that the introduction of Ru modulates the d-band center of the surface Pt atoms, which contributes to decreased binding strength of oxygenated species and an elevated dissolution potential, substantiating the enhanced performance metrics, and the durability enhancement stems from the stronger PtM bonds than those in PtNiRu NWs resulted from PtRu covalent interactions. These findings not only provide a new perspective on platinum-based nanocatalysts but also significantly advance the quest for more efficient and durable electrocatalysts for DMFCs, representing a substantial stride in fuel cell technology.

Stereochemical influence of 4'-methyl substitutions on truncated 4'-thioadenosine derivatives: Impact on A3 adenosine receptor binding and antagonism.

Herein, we investigated the stereochemical effects of 4'-methyl substitution on A3 adenosine receptor (A3AR) ligands by synthesizing and evaluating a series of truncated 4'-thioadenosine derivatives featuring 4'-α-methyl, 4'-ß-methyl, and 4',4'-dimethyl substitutions. We successfully synthesized these derivatives, using the stereoselective addition of an organometallic reagent, KSAc-mediated sulfur cyclization, and Vorbrüggen condensation. Binding assays demonstrated that the 4'-ß-methyl substitution conferred the highest affinity for A3AR, with compound 1 h exhibiting a Ki = 3.5 nM, followed by the 4',4'-dimethyl and 4'-α-methyl substitutions. Notably, despite the absence of the 5'-OH group, compound 1 h unexpectedly displayed partial agonism. Computational docking studies indicated that compound 1 h, the ß-methyl derivative, adopted a South conformation and maintained strong interactions within the receptor, including a critical interaction with Thr94, a residue known to be notable for agonistic effects. Conversely, compound 2 h, the α-methyl derivative, also adopted a South conformation but resulted in a flattened structure that hindered interactions with Thr94 and Asn250. The dimethyl derivative 3 h exhibited steric clashes with Thr94, contributing to a reduction in binding affinity. However, the docking results for 3 h indicated a North conformation, suggesting that the change in sugar conformation due to the additional 4'-methyl group altered the angle between the α-methyl group and the sugar plane, enabling binding despite the increased steric bulk. These findings suggest that not only do the substituents and their stereochemistry influence receptor-ligand interactions, but the conformation and the resulting spatial orientation of the substituents also play a crucial role in modulating receptor-ligand interaction. This stereochemical insight offers a valuable framework for the design of new, selective, and potent A3AR ligands, potentially facilitating the development of novel therapeutics for A3AR-related diseases such as glaucoma, inflammation, and cancer.

On the Development of Smart Framework for Printability Maps in Additive Manufacturing of AISI 316L Stainless Steel.

In this work, we propose a methodology to develop printability maps for the laser powder bed fusion of AISI 316L stainless steel. Regions in the process space associated with different defect types, including lack of fusion, balling, and keyhole formation, have been considered as a melt pool geometry function, determined using a finite element method model containing temperature-dependent thermophysical properties. Experiments were performed to validate the printability maps, showing a reliable correlation between experiments and simulations. The validated simulation model was then applied to collect the data by varying laser scanning speed, laser power, powder layer thickness, and powder bed preheating temperature. Following this, the collected data were used to train and test the adaptive neuro-fuzzy interference system (ANFIS)-based machine learning model. The validated ANFIS model was used to develop printability maps by correlating the melt pool characteristics to the defect types. The smart printability maps produced by the proposed methodology can be used to identify the processing window to attain defects-free components, thus attaining dense parts.

Tailoring tea residue-derived nitrogen-doped activated carbon for CO2 adsorption: influence of activation temperature and activating agents.

Embracing CO2 mitigation strategies, such as state-of-the-art CO2 capture technologies, is essential for effectively reducing atmospheric carbon levels and advancing global efforts toward a more sustainable future. In this context, adsorption sequestering techniques utilising carbon materials have emerged as promising candidates for CO2 capture. These materials have been extensively researched with a range of tuning methods to optimise their physicochemical features. In this study, an alteration of the N-doped activated carbon was successfully performed, utilizing tea residue as the carbon precursor and ammonia as the nitrogen source, facilitated through an impregnation procedure. With the objective of discovering the effect of diverse activation parameters on prepared adsorbent physicochemical properties, several selections of activating agents (AA) were investigated: KOH, H3PO4, ZnCl2, and NaOH, together with broad thermal activation temperature from 873 to 1173 K. The best-performed adsorbents from the respective AC group were subjected to several characterisation analyses and found to the enhanced structural features, heteroatom doped-rich surface (i.e. N and O); together with AA-induced metal/mineral functionalization, the NaOH-used AC (NAC-N-1173) was the optimum-performed adsorbent with a promising 4.12 mmol/g CO2 uptake capacity, higher than other prepared adsorbent including N-doped tea residue-derived char and commercialized AC with 175 and 325% higher, respectively.

Outcomes of first-line treatment and their association with pretreatment neutrophil-to-lymphocyte ratio in patients with advanced renal cell carcinoma: Insights from a tertiary care institute in Pakistan.

Background: Renal cell carcinomas (RCCs) are renal parenchymal neoplasms that contribute to <5% of cancer cases worldwide. Within the diverse group of renal tumours, clear cell carcinoma is the most common subtype. The recommended first-line treatment for metastatic disease is a tyrosine kinase inhibitor given either as monotherapy or in combination with an immune checkpoint inhibitor, based on improved survival outcomes. These endpoints are not only influenced by the initial risk stratification but also by certain variables such as the neutrophil-to-lymphocyte (NLR) ratio. Methods: A retrospective review was conducted to evaluate the progression-free survival (PFS) with first-line treatment in patients with metastatic RCC treated at our institute from the year 2017-2021. We also investigated the association of PFS with both Memorial Sloan Kettering Cancer Center risk groups and the pretreatment NLR ratio. Results: Overall, 35 patients were enrolled after fulfilling the eligibility criteria. Of these, 25 patients received Pazopanib, 5 patients were treated with Sunitinib and the remaining patients were administered Pembrolizumab with Axitinib. Two-thirds of the study population belonged to the intermediate-risk group. The median PFS for all participants was 16 months. Among the overall population, patients in the favourable-risk group demonstrated superior PFS. Patients with elevated pretreatment NLR experienced shorter PFS compared to the patients with low to normal NLR. Conclusion: This review highlights the prognostic significance of initial risk stratification and pretreatment NLR in predicting the response to first-line treatment in metastatic RCC patients. As this is a comprehensive study emphasizing the outcomes of metastatic RCC in Pakistan, it fills a void in the literature by providing invaluable perspectives on the real-world outcomes of patients. This not only enhances our understanding of disease management in this region but also lays the foundation for future investigations.

Effect of different dialysate temperatures on post dialysis fatigue in patients undergoing haemodialysis: a quasi-experimental study.

Objective: To compare the effects of warm and cold dialysate solutions on the duration of post-dialysis fatigue in patients undergoing maintenance haemodialysis. METHODS: The quasi-experimental study was conducted at the Department of Nephrology, Pak Emirates Military Hospital, Rawalpindi, Pakistan, from May 9 to September 10, 2023, and comprised adult patients of either gender undergoing maintenance haemodialysis for a minimum of 3 months. The patient initially underwent haemodialysis with a dialysate temperature of 36°C for 2 weeks. During the subsequent washout period of one week when the dialysate temperature was not monitored, they underwent haemodialysis with a dialysate temperature of 37°C for another 2 weeks. Blood pressure was monitored every 30 minutes to record any hypotensive episodes. Patients were asked if they felt fatigued after the last haemodialysis session, and the duration was noted down. Data was analysed using SPSS 24. RESULTS: Of the 92 patients with mean age 49.1±16.1 years, 57(62%) were males. Post-dialysis fatigue was seen in 67(72.8%) and 75(81.5%) patients with dialysate temperatures at 36°C and 37°C, respectively (p<0.001). The duration of post-dialysis fatigue was also significantly longer at dialysate temperatures 37°C p<0.001). There was no significant difference in the proportion of hypotensive episodes in the two groups (p=0.445). Conclusion: Dialysate temperature 36°C was found to be associated with less frequent and shorter duration of postdialysis fatigue compared to dialysate temperature 37°C.

Panniculitis with fever of unknown origin.

We present a case of a girl in her early childhood with a background of chromosomal deletion 10q21.2, hypothyroidism, second-degree atrioventricular block, developmental delay, gastroesophageal reflux disease, constipation and recurrent fevers. She had subcutaneous nodules, which represented panniculitis. Diagnosis of fever of unknown origin (FUO) associated with panniculitis was very challenging despite the involvement of geneticist, dermatologist, rheumatologist and paediatrician. To detect possible malignant cases and start treatment plans promptly, the case emphasises the need for a comprehensive diagnostic examination, which includes an early biopsy of nodular lesions. To maximise patient outcomes in complicated paediatric presentations, it emphasises the need for continual multidisciplinary teamwork and close monitoring. This case adds to the body of knowledge on the treatment of panniculitis and FUO in paediatric patients, highlighting the need of a comprehensive approach to treatment.

Paper-based colorimetric sensor using a single-atom nanozyme for the ultrasensitive detection of Cr(VI) in short-necked clams.

Single-atom nanozymes (SAzymes) as a class of highly active nanozymes with the advantages of high atom utilization, high catalytic activity and stability have attracted great attention. In this work, Fe-N-C SAzymes with exceptional oxidase (OXD)-like activity were achieved utilizing polyvinylpyrrolidone (PVP) as a template. The Fe-N-C SAzymes with remarkable OXD-like activity could oxidize TMB to blue oxTMB, but 8-hydroxyquinoline (8-HQ) as a metal chelator is capable of discoloring oxTMB. Thus, the addition of 8-HQ decolorized the solution. However, upon the introduction of Cr(VI) ions, 8-HQ preferentially chelated with the Cr(VI) ions, reversing the inhibition of the color reaction and restoring the blue color. Based on this phenomenon, we constructed a novel paper-based analytical device (PAD) that exhibited a linear range of 5-1000 µM and an LOD of 1.2 µM. Importantly, the PAD used in this study shows the merits of simplicity, low preparation costs, and rapid reaction times. When combined with smartphone RGB analysis, it enables the simultaneous analysis of eight different Cr(VI) concentrations without the need for large-scale instrumentation. Moreover, the proposed PAD displays high selectivity, accuracy and utility in testing actual short-necked clam samples. This work not only provides a simple and cost-effective method to detect Cr(VI) but also makes a contribution to rapid food testing.

Distributed GNE Seeking Strategy for Second-Integrator Multiplayer Systems Over Directed Topologies.

This article studies the generalized Nash equilibrium (GNE) seeking problem of second-integrator multiplayer systems. In particular, each player is endowed with an individual payoff function with respect to collective decision variables, and simultaneously, a coupling inequality constraint and a set constraint are imposed to each player. The players communicate with their local neighbors over a directed topology. To begin with, a distributed-observer-based seeking strategy is synthesized by leveraging a proper composite variable. It is first demonstrated using nonsmooth analysis that the established distributed observer enables each player to accurately estimate the decision variables of others in terms of a strongly connected topology condition. Upon this basis, all the decision variables are then shown to converge to the expected GNE asymptotically borrowing from convex theory. In addition, three extension results are also given under the built GNE seeking framework. First, under the postulation that the velocity information is unavailable, a velocity-free distributed GNE seeking strategy is synthesized for second-integrator systems by implementing a proper auxiliary dynamics. Second, we consider nonlinear Euler-Lagrange systems with unknown inertia parameters and synthesize an improved distributed GNE seeking strategy resorting to an adaptation technique. Third, we focus on integrator chain systems and synthesize a modified distributed GNE seeking strategy using a new composite variable based on a proper coordinate transformation. For three extension cases, we all show in detail the achievement of the GNE seeking objective. Finally, a practical example is simulated to confirm the built GNE seeking results.

A Robust Recurrent Neural Networks-Based Surrogate Model for Thermal History and Melt Pool Characteristics in Directed Energy Deposition.

In directed energy deposition (DED), accurately controlling and predicting melt pool characteristics is essential for ensuring desired material qualities and geometric accuracies. This paper introduces a robust surrogate model based on recurrent neural network (RNN) architectures-Long Short-Term Memory (LSTM), Bidirectional LSTM (Bi-LSTM), and Gated Recurrent Unit (GRU). Leveraging a time series dataset from multi-physics simulations and a three-factor, three-level experimental design, the model accurately predicts melt pool peak temperatures, lengths, widths, and depths under varying conditions. RNN algorithms, particularly Bi-LSTM, demonstrate high predictive accuracy, with an R-square of 0.983 for melt pool peak temperatures. For melt pool geometry, the GRU-based model excels, achieving R-square values above 0.88 and reducing computation time by at least 29%, showcasing its accuracy and efficiency. The RNN-based surrogate model built in this research enhances understanding of melt pool dynamics and supports precise DED system setups.

Understanding the impact of valproate on male fertility: insights from preclinical and clinical meta-analysis.

BACKGROUND: Valproic acid (VPA) is a widely used antiepileptic drug (AED) often prescribed as a first-line treatment for many idiopathic and symptomatic generalized epilepsies. Several studies have highlighted the side effects of VPA on male fertility and reproductive factors in males, although the specific underlying etiology of these abnormalities is not clear. The present systematic review and meta-analysis aimed to assess the preclinical and clinical evidence concerning the impact of VPA on male fertility and reproductive factors. METHODS: The scientific literature was reviewed for eligibility using PubMed, Web of Science, and PsycINFO, encompassing preclinical and clinical studies. Factors related to male fertility and reproduction, such as differences in sperm count, sperm motility, and the percentage of abnormal sperm, were compared between the experimental groups treated with VPA (in both preclinical and clinical) and the control groups using the Standardized Mean Difference (SMD) with 95% confidence intervals (CIs). Additionally, differences in follicle-stimulating hormone (FSH) and luteinizing hormone (LH) were explicitly assessed in clinical studies. RESULTS: Male fertility data were extracted from 7 preclinical studies (112 animals) and 5 clinical studies (274 male individuals). The results of animal studies found that the sperm count (SMD = -2.28, 95% CI: -3.39 to -1.18, P = 0.335) and sperm motility (SMD = -2.32, 95% CI: -3.34 to -1.30, P = 0.368) were decreased in the treated groups compared to the control groups. The percentage of abnormal sperm (SMD = 3.27, 95% CI: 1.98 to 4.56, P = 0.019) was significantly increased, while a non-significant reduction was revealed in the weight of the testis (SMD = -2.73, 95% CI: -4.23 to -1.23, P = 0.673) in treated groups. The outcomes of clinical studies indicated a non-significant decrease in sperm count (SMD = -0.78, 95% CI: -1.58 to 0.03, P = 0.286) among patients with epilepsy treated with VPA compared to control subjects. However, a significant reduction in sperm motility (SMD = -1.62, 95% CI: -2.81 to -0.43, P = 0.033 was observed. The percentage of abnormal sperm showed a non-significant increase (SMD = 0.93, 95% CI: -0.97 to 2.84, P = 0.616) after being treated with VPA. Furthermore, there was a non-significant reduction in the levels of FSH (SMD = -1.32, 95% CI: -2.93 to 0.29, P = 0.198) and LH (SMD = -0.96, 95% CI: -1.95 to 0.04, P = 0.211) observed in clinical participants. CONCLUSION: This meta-analysis of both preclinical and clinical studies revealed that VPA causes a significant reduction in male fertility and reproductive factors among male patients with epilepsy. Clinical neurologists should be more cautious when prescribing VPA, especially to young male adult patients with epilepsy.

DFT and comparative adsorption study of NiO, MnO, and Mn2NiO4 nanomaterials for the removal of amaranth dye from synthetic water.

In the current study, NiO nanoparticles, MnO nanoparticles, and Mn2NiO4 nanocomposites (Ni-NPs, Mn-NPs and MN-NCs, respectively) were synthesized using a facile hydrothermal method, and their performance in the removal of amaranth (AM) dye from synthetic wastewater was compared. XRD, FTIR spectroscopy, SEM, BET analysis, and TGA were performed to characterize the produced catalysts. The effect of pertinent parameters, including pH, dosage of catalysts, temperature, and shaking speed on the uptake of AM was investigated through batch experiments. The MN-NCs showed ultrafast and high efficiency for AM removal compared to their counter parts Mn-NPs and Ni-NPs. Under ideal conditions, the highest adsorption efficiencies of AM onto Ni-NPs, Mn-NPs, and MN-NCs were calculated to be 80.50%, 93.85%, and 98.50%, respectively. The Langmuir isotherm fitted the experimental data of AM removal better as shown by the higher values of r 2, compared to the Freundlich isotherm, indicating monolayer type adsorption of AM. According to kinetic analyses, the adsorption of AM was best described by the pseudo-second-order kinetic model. Further, regeneration/recycling studies showed that MN-NCs retained 79% adsorption efficiency after four cycles. DFT experiments were also conducted to gain a deeper understanding of the process and behavior of AM adsorption. In conclusion, as Ni-NPs, Mn-NPs, and MN-NCs adsorb AM predominantly via electrostatic interaction, they can be applied for the removal of both cationic and anionic dyes by controlling the pH factor.

Smartphone-assisted colorimetric sensor arrays based on nanozymes for high throughput identification of heavy metal ions in salmon.

The rapid, precise, and high-throughput identification of multiple heavy metals ions holds immense importance in ensuring food safety and promoting public health. This study presents a novel smartphone-assisted colorimetric sensor array for the rapid and precise detection of multiple heavy metals ions. The sensor array is based on three signal recognition elements (AuPt@Fe-N-C, AuPt@N-C, and Fe-N-C) and the presence of different heavy metal ions affects the nanozymes-chromogenic substrate (TMB) catalytic color production, enabling the differentiation and quantification of various heavy metal ions. Combined with a smartphone-based RGB mode, the colorimetric sensor array can successfully identify five different heavy metal ions (Hg2+, Pb2+, Co2+, Cr6+, and Fe3+) as low as 0.5 µM and different ratios of binary and ternary mixed heavy metal ions in just 5 min. The sensor array successfully tested seawater and salmon samples with a total heavy metal content of 10 µM in the South China Sea (Haikou and Wenchang). Overall, this study highlights the potential of smartphone-assisted colorimetric sensor arrays for the rapid and precise detection of multiple heavy metal ions, which could significantly contribute to food safety and public health monitoring.

Green synthesis of pectin-functionalized silver nanocomposites using Carpesium nepalense and evaluation its bactericidal kinetics and hepatoprotective mechanisms.

The present study reports the green synthesis of pectin-fabricated silver nanocomposites (Pectin-AgNPs) using Carpesium nepalense leaves extract, evaluating their bactericidal kinetics, in vivo hepatoprotective, and cytotoxic potentials along with possible mechanisms. GC/MS and LC/MS analyses revealed novel phytochemicals in the plant extract. The Pectin-AgNPs were characterized using UV/Vis, AFM, SEM, TEM, DLS, FTIR, and EDX techniques, showing a spherical morphology with a uniform size range of 50-110 nm. Significant antibacterial activity (P < 0.005) was found against four bacterial strains with ZIs of 4.1 ± 0.15 to 27.2 ± 3.84 mm. AFM studies revealed significant bacterial cell membrane damage post-treatment. At 0.05 mg/kg, the nanocomposites showed significant (P < 0.005) hepatoprotective activity in biochemical and histopathology analyses compared to the CCl4 control group. Pectin-AgNPs significantly reduced (P < 0.005) LDH, AST, ALT, ALP, and DB levels. qPCR analysis showed ameliorative effects on PPARs and Nrf2 gene expression, restoring gene alterations caused by CCl4 intoxication. In vivo acute toxicity studies confirmed low toxicity of Pectin-AgNPs in major organs. Pectin-AgNPs exhibited cytotoxic activity against HeLa cell lines at higher doses with an LC50 of 223.7 µg/mL. These findings demonstrate the potential of Pectin-AgNPs as promising antibacterial, hepatoprotective, and cytotoxic agents.

Safety and efficacy of bilateral superselective adrenal arterial embolization for treatment of idiopathic hyperaldosteronism: a prospective single-center study.

OBJECTIVE: This study aimed to assess the efficacy and safety of bilateral superselective adrenal arterial embolization (SAAE) in patients with bilateral idiopathic hyperaldosteronism (IHA), a subtype of PA. METHODS: Ninety-eight patients with bilateral IHA underwent bilateral SAAE between August 2022 and August 2023. Sixty-eight patients were followed up for up to 12 months. The study outcomes were evaluated using the criteria provided by the Primary Aldosteronism Surgical Outcome (PASO) guidelines. RESULTS: The mean reductions in systolic and diastolic blood pressure were 27.4 ± 21.3 mmHg and 23.1 ± 17.4 mmHg, respectively (p < 0.001). The rates of clinical success and biochemical success after adrenal artery ablation were 63.2% (43/68) and 39.7% (27/68), respectively. Overall, there were significant reductions in daily defined doses (DDD), aldosterone/renin ratio (ARR), and plasma aldosterone levels (p < 0.001). Plasma renin levels increased by a mean value of 10.4 ± 39.0 pg/mL (p = 0.049), and potassium levels increased by 0.40 ± 0.63 mmol/L (p < 0.001). No significant adverse events were reported during SAAE or the follow-up period of up to one year. Additionally, no abnormalities were detected by adrenal 68Ga-Pentixafor PET/CT scans before or after SAAE. CONCLUSION: Bilateral SAAE appears to lead to sustained improvements in blood pressure and biochemical parameters in patients with bilateral PA, with minimal adverse effects. This suggests that bilateral SAAE could serve as an effective alternative approach for treating bilateral IHA, potentially curing this condition.

The Identification of Oral Cariogenic Bacteria through Colorimetric Sensor Array Based on Single-Atom Nanozymes.

Effective identification of multiple cariogenic bacteria in saliva samples is important for oral disease prevention and treatment. Here, a simple colorimetric sensor array is developed for the identification of cariogenic bacteria using single-atom nanozymes (SANs) assisted by machine learning. Interestingly, cariogenic bacteria can increase oxidase-like activity of iron (Fe)─nitrogen (N)─carbon (C) SANs by accelerating electron transfer, and inversely reduce the activity of Fe─N─C further reconstruction with urea. Through machine-learning-assisted sensor array, colorimetric responses are developed as "fingerprints" of cariogenic bacteria. Multiple cariogenic bacteria can be well distinguished by linear discriminant analysis and bacteria at different genera can also be distinguished by hierarchical cluster analysis. Furthermore, colorimetric sensor array has demonstrated excellent performance for the identification of mixed cariogenic bacteria in artificial saliva samples. In view of convenience, precise, and high-throughput discrimination, the developed colorimetric sensor array based on SANs assisted by machine learning, has great potential for the identification of oral cariogenic bacteria so as to serve for oral disease prevention and treatment.

Development of 3D-printed universal adapter in enhancing retinal imaging accessibility.

BACKGROUND: The revolutionary technology of smartphone-based retinal imaging has been consistently improving over the years. Smartphone-based retinal image acquisition devices are designed to be portable, easy to use, and cost-efficient, which enables eye care to be more widely accessible especially in geographically remote areas. This enables early disease detection for those who are in low- and middle- income population or just in general has very limited access to eye care. This study investigates the limitation of smartphone compatibility of existing smartphone-based retinal image acquisition devices. Additionally, this study aims to propose a universal adapter design that is usable with an existing smartphone-based retinal image acquisition device known as the PanOptic ophthalmoscope. This study also aims to simulate the reliability, validity, and performance overall of the developed prototype. METHODS: A literature review has been conducted that identifies the limitation of smartphone compatibility among existing smartphone-based retinal image acquisition devices. Designing and modeling of proposed adapter were performed using the software AutoCAD 3D. For the proposed performance evaluation, finite element analysis (FEA) in the software Autodesk Inventor and 5-point scale method were demonstrated. RESULTS: Published studies demonstrate that most of the existing smartphone-based retinal imaging devices have compatibility limited to specific older smartphone models. This highlights the benefit of a universal adapter in broadening the usability of existing smartphone-based retinal image acquisition devices. A functional universal adapter design has been developed that demonstrates its compatibility with a variety of smartphones regardless of the smartphone dimension or the position of the smartphone's camera lens. The proposed performance evaluation method generates an efficient stress analysis of the proposed adapter design. The end-user survey results show a positive overall performance of the developed universal adapter. However, a significant difference between the expert's views on the developed adapter and the quality of images is observed. CONCLUSION: The compatibility of existing smartphone-based retinal imaging devices is still mostly limited to specific smartphone models. Besides this, the concept of a universal and suitable adapter for retinal imaging using the PanOptic ophthalmoscope was presented and validated in this paper. This work provides a platform for future development of smartphone-based ophthalmoscope that is universal.

Potential nanomedicinal applications and physicochemical nature of Hyphaene thebaica-reduced nano-samaria.

Herein we described the biofabrication of samarium oxide nanoparticles (HT-Sm2O3 NPs) by applying the aqueous fruit extract of Hyphaene thebaica was utilized as an eco-friendly chelating agent. The prepared NPs were subjected to various physicochemical properties and potential in biomedical applications. X-ray Diffraction (XRD) pattern revealed sharp peaks that corroborated with the Joint Committee on Powder Diffraction Standards (JCPDS) card no. 00-042-1464. Crystallite size obtained from Debye-Scherrer approximation and Williamson-Hall (W-H) plot was 28.73 and 69.3 nm, respectively. Optical bandgap was calculated by employing Kubelka-Munk (K-M) function and was found to be ~4.58 eV. Raman shift was observed at 121, 351, 424-, and 561 cm-1. Photoluminescence (PL) spectra revealed two major peaks positioned at 360 and 540 nm. The high-resolution transmission electron microscopy (HR-TEM) analysis of HT-Sm2O3 nanoparticles (NPs) showed that they predominantly have spherical to cuboidal shapes. Additionally, the selected area electron diffraction (SAED) pattern presented spotty rings, indicating a high level of crystallinity in these NPs. The potential nanomedicine applications were studied using diverse bioassays using different treatments. The antioxidant activity demonstrated 45.71% ± 1.13% inhibition at 1000 µg/mL. Brine shrimp lethality assay revealed the highest cytotoxicity of 46.67% ± 3.33% at 1000 µg/mL and LC50 value of 1081 µg/mL. HT-Sm2O3 NPs exhibited inhibition of angiogenesis (20.41% ± 1.18%) at of 1000 µg/mL. MTT assay results indicated that HT-Sm2O3 NPs exhibit inhibitory effects on cell lines. Specifically, these NPs showed an IC50 value of 104.6 µg/mL against 3T3 cells. Against MCF-7 cells, the NPs demonstrated an IC50 value of 413.25 µg/mL. Additionally, in the inhibition of acetylcholinesterase (AChE), the newly synthesized NPs showed an IC50 value of 320 µg/mL. The antidiabetic assessment through α-glucosidase and α-amylase inhibition assays revealed, an IC50 value of 380 µg/mL for α-glucosidase and 952 µg/mL for α-amylase was calculated. Overall, our study suggested that the Sm2O3 NPs possess moderate anticancer, cholinesterase inhibition, and antidiabetic potential, however, needs further assessment. RESEARCH HIGHLIGHTS: In this work, nano-samaria is synthesized using an eco-friendly and green approach. The nanoparticles were characterized using techniques such as Raman, HR-TEM, FTIR, DRS, XRD, and so on, and the applications were studied using multiple in vitro bioassays for Diabetes, Alzheimer, and Cancer. The nano-samaria revealed good potential for potential biomedical applications.

Cu-nanoparticles enhance the sustainable growth and yield of drought-subjected wheat through physiological progress.

Drought stress (DS) is a significant abiotic stress that limits agricultural productivity worldwide. In semi-arid climates, one potential solution to alleviate the deleterious effects of drought is the use of soil amendments such as nanoparticles. The current research was conducted out to probe the sway of drought at critical growth stages (CGS) of wheat crop (D0: Control, D1: Drought at tillering stage, and D2: Drought at anthesis stage) and the application of Cu-nanoparticles (T0: 0 mg L-1, T1: 300 mg L-1, T2: 700 mg L-1, and T3: 950 mg L-1) in order to improve drought resilience. Results of the study revealed that DS considerably decreased the wheat growth and yield during CGS. However, Cu-nanoparticles application alleviated the detrimental backlash of DS and led to improvements in various aspects of wheat growth and yield, including plant height, spike length, 1000 grain weight, stomatal conductance, leaf chlorophyll content, water use efficiency, leaf turgor potential, relative water content, and ultimately the grain yield. The use of principal component analysis allowed us to integrate and interpret the diverse findings of our study, elucidating the impact of Cu-nanoparticle treatment on wheat growth and yield under drought. Overall, the study concluded that DS during the anthesis stage had the most significant negative impact on crop yield. However, applying Cu-nanoparticles at the rate of 300 mg L-1 proved to be an effective strategy for improving crop productivity by reducing the harmful effects of drought.