Search Results (175)

Background: Marantodes pumilum var. alata (MPva) has been reported to promote fracture repair. This study investigates the role of MPva leaf extract on biochemical markers and bone-repair genes in a postmenopausal rat model to understand its fracture-healing properties. Methods: Thirty female Sprague Dawley rats were grouped into sham-operated (Sham), ovariectomized control (OVXC), estrogen treatment (ERT), and plant treatment (MPv20 and MPv100) groups. After ovariectomy, the right tibiae of rats were fractured. The ERT group was treated with 64.5 μg/kg/day of estrogen, while the MPv20 and MPv100 groups received 20 and 100 mg/kg/day doses of MPva leaf extract, respectively, for 8 weeks. Sham and OVXC acted as untreated controls. Blood samples collected before and after treatment were assayed for pro-inflammatory cytokines (IL-6 and TNF-α), while bone samples were assayed for bone-turnover markers: osteocalcin and pyridinoline, oxidative-status markers (GPx, SOD, and MDA), and bone-repair genes (Bglap, Spp1, Dkk1, Igf1, Tnfsf11, and Fgf23). Results: IL-6, GPx, and SOD levels were significantly increased in both MPv groups (p < 0.05). IGF1 was significantly upregulated in both MPv groups, while Tnfsf11 was downregulated in the MPv20 group (p < 0.05). Conclusions: MPva leaf extract may promote bone repair by stimulating pro-inflammatory and antioxidant responses, which are associated with its regulation of Igf1 and Tnfsf11 genes. Full article

Background/Objective: This study aimed to develop a predictive model to classify and rank highly active compounds that inhibit HIV-1 integrase (IN). Methods: A total of 2271 potential HIV-1 inhibitors were selected from the ChEMBL database. The most relevant molecular descriptors were identified using a hybrid GA-SVM-RFE approach. Predictive models were built using Random Forest (RF), eXtreme Gradient Boosting (XGBoost), Support Vector Machines (SVM), and Multi-Layer Perceptron (MLP). The models underwent a comprehensive evaluation employing calibration, Y-randomization, and Net Gain methodologies. Results: The four models demonstrated intense calibration, achieving an accuracy greater than 0.88 and an area under the curve (AUC) exceeding 0.90. Net Gain at a high probability threshold indicates that the models are both effective and highly selective, ensuring more reliable predictions with greater confidence. Additionally, we combine the predictions of multiple individual models by using majority voting to determine the final prediction for each compound. The Rank Score (weighted sum) serves as a confidence indicator for the consensus prediction, with the majority of highly active compounds identified through high scores in both the 2D descriptors and ECFP4-based models, highlighting the models’ effectiveness in predicting potent inhibitors. Furthermore, cluster analysis identified significant classes associated with vigorous biological activity. Conclusions: Some clusters were found to be enriched in highly potent compounds while maintaining moderate scaffold diversity, making them promising candidates for exploring unique chemical spaces and identifying novel lead compounds. Overall, this study provides valuable insights into predicting integrase binders, thereby enhancing the accuracy of predictive models. Full article

This study explores the development of an electronic nose (E-nose) sensor for fish freshness based on a composite of polyvinyl alcohol (PVA), polyethylene glycol (PEG), and reduced graphene oxide (rGO). The sensor leverages the unique properties of the PVA-PEG polymer matrix, such as its flexibility and moisture responsiveness, in combination with the electrical conductivity of rGO. The PVA-PEG/rGO composite was synthesized through a low-temperature embedding process to ensure the preservation of sensitive biomolecules and prevent thermal degradation. This sensor demonstrates high sensitivity to volatile amines released during fish spoilage, providing real-time food monitoring to maintain freshness. Electrical resistance changes in the rGO network, influenced by the polymer’s interaction with spoilage gases, were correlated with fish freshness levels. The low cost, easy fabrication, and environmentally friendly nature of the PVA-PEG/rGO E-nose sensor make it a promising candidate for use in packaging or direct contact with fish products in the food industry. This study highlights the potential for extending shelf life and reducing food waste through rapid spoilage detection. Full article

Background/Objectives: Hepcidin is a negative regulator of iron absorption that is released by hepatocytes. It is one of the main contributors to hypoferremia and anemia in inflammatory and oncological disorders that are mediated by the proinflammatory cytokine IL-6/STAT3 pathway. Ferulic acid (FA) is a phenolic compound with pleiotropic biological activities, including anti-inflammatory activity. However, its effect on hepcidin secretion is still unknown. Thus, this study aimed to explore the impact of FA on hepcidin levels and the underlying mechanism. Methods: HepG2 cells were treated with different log percentages of FA, and their viability was determined via the MTT assay. The relative expression of IL-6 and HAMP in treated and untreated cells was measured via qRT-PCR, and the protein levels of hepcidin, IL-6 and STAT3 were measured using ELISA. Results: The MTT test showed an inverse relationship between FA concentrations and HepG2 cell proliferation; FA’s IC₅₀ value was 0.07669%. The expression levels of IL-6 and HAMP were significantly increased in HepG2 cells following 24 h of culture with 4 μg/mL LPS. Meanwhile, the addition of FA significantly decreased the relative expression levels of these two genes and the secretion levels of IL-6, STAT3 and hepcidin compared to the cells treated with LPS alone. Conclusions: Overall, these findings show that FA modifies inflammatory pathways, affecting hepcidin levels via the IL-6/STAT3 pathway. Thus, this suggests FA as a potential therapeutic agent against the hypoferremia and anemia developed due to dysregulated hepcidin levels in diseases such as inflammatory and oncological disorders. Full article

This paper presents JADEDO, a hybrid optimization method that merges the dandelion optimizer’s (DO) dispersal-inspired stages with JADE’s (adaptive differential evolution) dynamic mutation and crossover operators. By integrating these complementary mechanisms, JADEDO effectively balances global exploration and local exploitation for both unimodal and multimodal search spaces. Extensive benchmarking against classical and cutting-edge metaheuristics on the IEEE CEC2022 functions—encompassing unimodal, multimodal, and hybrid landscapes—demonstrates that JADEDO achieves highly competitive results in terms of solution accuracy, convergence speed, and robustness. Statistical analysis using Wilcoxon sum-rank tests further underscores JADEDO’s consistent advantage over several established optimizers, reflecting its proficiency in navigating complex, high-dimensional problems. To validate its real-world applicability, JADEDO was also evaluated on three engineering design problems (pressure vessel, spring, and speed reducer). Notably, it achieved top-tier or near-optimal designs in constrained, high-stakes environments. Moreover, to demonstrate suitability for security-oriented tasks, JADEDO was applied to an attack-response optimization scenario, efficiently identifying cost-effective, low-risk countermeasures under stringent time constraints. These collective findings highlight JADEDO as a robust, flexible, and high-performing framework capable of tackling both benchmark-oriented and practical optimization challenges. Full article

Leaky feeders provide seamless and uniform signal coverage in confined spaces like tunnels, mines, and buildings. Their easy scalability and integration with modern systems, like Multiple Input Multiple Output (MIMO), make them ideal for environments requiring reliable and consistent connectivity. However, using optical fiber as a radiating cable has never been investigated before. This may seem infeasible at first sight. However, our experimental study shows otherwise. We measured light leaking from a bent optical fiber transmitter. We also derived closed-form formulas to describe the amount of leakage energy and found that this energy exponentially varies with the square of the curvature radius. This allows us to design an Optical Leaky Feeder (OLF) transmission system for the first time. Then, we analytically show that a slotted optical fiber can be used as a MIMO receiver. The proposed system can ensure reliable, high-quality signal distribution even in challenging environments like tunnels, industrial settings, and dense urban areas. Full article

Background and Objectives: Primary central nervous system (CNS) tumors are often associated with relatively poor outcomes. Data on the epidemiology and outcome of CNS tumors in Jordan are scarce. We aim to report the epidemiology and outcome of primary CNS tumors of patients managed at a comprehensive cancer care center in Jordan. Methods: We performed a retrospective chart review of all Jordanian patients with a primary CNS tumor diagnosis who were managed at the center between July 2003 and June 2019. We included all entities described in the 2021 CNS WHO classification system, in addition to pituitary neuroendocrine tumors (PitNETs). We used the Kaplan–Meier method to estimate the 1-year, 2-year, and 5-year overall survival (OS) rates for each entity. Results and Findings: We included 2094 cases. The numbers of pediatrics and adults were 652 (31.1%) and 1442 (68.9%), respectively. The three most common groups of tumors were “gliomas, glioneuronal tumors, and neuronal tumors” (n = 1200 [57.30%]), followed by meningiomas (n = 261 [12.5%]), embryonal tumors (n = 234 [11.2%]). The three most common tumor families were adult-type diffuse gliomas (n = 709 [33.8%]), medulloblastoma (n = 199 [9.5%]), and circumscribed astrocytic gliomas (n = 183 [8.7%]). The median survival for the entire cohort was 97 months (95CI; 81–112). Survival was significantly worse for males and adults compared to their respective counterparts. Among the most common tumor group, “gliomas, glioneuronal tumors, and neuronal tumors”, OS rates for adult-type diffuse gliomas were significantly lower than all other types. Overall, adult gliomas with IDH-mutations had a survival advantage over wildtype cases (IDH-mutant 1-year OS, 89% [82–97%] vs. IDH-wildtype 1-year OS, 60% [52–70%]; p < 0.001). Conclusions: We present a detailed analysis of the primary CNS tumors diagnosed in the largest cancer center in Jordan between 2003 and 2019. We compared the epidemiology and overall survival of these patients to worldwide estimates and found the epidemiology and outcome of these tumors comparable to worldwide trends. Full article

Mobile ad hoc networks (MANETs) are autonomous systems composed of multiple mobile nodes that communicate wirelessly without relying on any pre-established infrastructure. These networks operate in highly dynamic environments, which can compromise their ability to guarantee consistent link lifetimes, security, reliability, and overall stability. Factors such as mobility, energy availability, and security critically influence network performance. Consequently, the selection of paths and relay nodes that ensure stability, security, and extended network lifetimes is fundamental in designing routing protocols for MANETs. This selection is pivotal in maintaining robust network operations and optimizing communication efficiency. This paper introduces a sophisticated algorithm for selecting multipoint relays (MPRs) in MANETs, addressing the challenges posed by node mobility, energy constraints, and security vulnerabilities. By employing a multicriteria-weighted technique that assesses the mobility, energy levels, and trustworthiness of mobile nodes, the proposed approach enhances network stability, reachability, and longevity. The enhanced algorithm is integrated into the Optimized Link State Routing Protocol (OLSR) and validated through NS3 simulations, using the Random Waypoint and ManhattanGrid mobility models. The results indicate superior performance of the enhanced algorithm over traditional OLSR, particularly in terms of packet delivery, delay reduction, and throughput in dynamic network conditions. This study not only advances the design of routing protocols for MANETs but also significantly contributes to the development of robust communication frameworks within the realm of smart mobile communications. Full article

Biochar (BC) serves a vital function in sequestering carbon, improving nutrient cycles, and boosting overall soil quality. This research explored the enhancement of the chemical and physical properties of soil (alkaline) using nitrogen and biochar (from organic and inorganic sources) in a semi-arid climate during the autumn seasons of 2015–2016 and 2016–2017. The study involved applying biochar at various rates (0, 10, 20, and 30 t ha⁻¹) and nitrogen at different levels (0, 90, 120, and 150 kg ha⁻¹) using urea, poultry manure (PM), and farmyard manure (FYM) as nitrogen sources, which were applied to the field in a randomized complete block design with split-plot arrangement. The application of biochar at the highest rate (30 t ha⁻¹) resulted in a significant increase of over 120% in soil organic matter (SOM), soil organic carbon (SOC), and soil moisture content (SMC). Additionally, it increased total soil nitrogen (STN) by 14.16% and mineral nitrogen (SMN) by 9.09%. In contrast, applying biochar at this rate reduced soil bulk density (SBD), pH, and electrical conductivity (EC) by 28.52%, 3.38%, and 2.27%, respectively, compared to the control. Similarly, applying nitrogen at 150 kg ha⁻¹ using FYM significantly improved SOC, SOM, SMC, and SBD. At the same rate, using PM as a nitrogen source enhanced STN and SMN while reducing soil pH and EC. In conclusion, this study shows that applying biochar at 30 t ha⁻¹ combined with nitrogen at 150 kg ha⁻¹, sourced from either PM or FYM, offers great potential for improving soil fertility and promoting carbon sequestration in alkaline soils of semi-arid regions. These findings highlight the value of integrating BC and organic N sources for enhancing agroecosystem sustainability. Thus, this study provides a promising pathway to enhance soil quality, improve crop productivity, and support sustainable agricultural practices in challenging environments. Full article

Jordan has made substantial strides in enhancing its economy by focusing on economic growth stimulants, which include financial development, foreign direct investment (FDI), and trade openness. However, these economic activities often lead to significant environmental risks. Despite their relevance, the existing literature has rarely examined the influence of these dynamics on environmental quality in the Middle East, particularly in Jordan. This study aims to investigate the influence of financial development, FDI, and trade openness on carbon dioxide (CO₂) emissions in Jordan. To achieve this, the study employs the Autoregressive Distributed Lag (ARDL) technique and the Vector Error Correction Model (VECM) Granger causality approach, utilizing data sourced from the World Bank for the period from 1990 to 2022. The findings indicate that financial development, FDI, and trade openness positively impact CO₂ emissions, thereby increasing environmental risks in both the short and long term. Additionally, there exists a bidirectional causal relationship between financial development and both FDI and trade openness, as well as between FDI and trade openness. It is imperative for Jordan to design strategies that balance economic growth with sustainable environmental practices. Full article

The anaerobic baffled reactor (ABR) is a decentralized treatment system that is commonly used for municipal wastewater treatment. Slower growth rate of anaerobic microorganisms requires extended hydraulic retention time (HRT), leading to a larger bioreactor volume. In this study, polyurethane sponge sheets were provided in a six-compartment ABR for retention and growth of biomass to improve its treatment performance at shorter HRTs. Polyurethane sponge was selected for its low cost, durability, availability, easy emplacement, and high voidage. The sponge anaerobic baffled reactor (SABR) was operated within a temperature range of 35 ± 1 °C at HRTs of 18, 12, 8, and 6 h to evaluate its treatment performance. Average removal efficiencies ranged from 60–77% for organics, 74–81% for total suspended solids (TSS), 50–66% for total nitrogen (TN), and 47–57% for total phosphorus (TP). The shortest HRT was 8 h with average removal efficiencies of 74, 63, 64, and 52% for organics, TSS, TN, and TP, respectively, to meet effluent discharge limits. With the shortest HRT of 8 h, the SABR demonstrated low volume requirements, thereby making it an efficient solution for decentralized wastewater treatment, particularly advantageous for developing countries with warm climates. Full article

Peach production faces significant pre-harvest challenges, including low moisture, nutrient deficiencies, flower drop, physical damage, and surface discoloration, which can limit yield and fruit quality. To mitigate these issues, the present study hypothesized that foliar applications of silicon and zinc could enhance peach growth, yield, and quality due to their known roles in improving stress tolerance, nutrient uptake, and antioxidant activity. Therefore, this research aimed to identify optimal concentrations of silicon and zinc for quality peach production. Ten-year-old peach trees of uniform size were sprayed with four levels of silicon (0%, 0.1%, 0.2%, and 0.3%) and zinc (0%, 0.25%, 0.50%, and 0.75%) for two consecutive growing seasons, at the berry and pit hardening stages, using a Randomized Complete Block Design (RCBD) with three replications. The averaged data from the two years showed that the pre-harvest foliar application of silicon significantly improved all yield and quality attributes of peaches. The foliar application of silicon at 0.3% notably enhanced fruit growth, yield, and biochemical attributes. Additionally, the highest fruit growth, yield, and quality of peach fruits were observed at the 0.75% zinc concentration. Maximum antioxidant activity, flavonoid content, proline content, and catalase activity were observed in fruits from plants treated with 0.3% silicon, which were statistically on par with 0.2% silicon. However, peroxidase activity was highest at 0.2% silicon. Regarding zinc levels, antioxidant activity, flavonoid content, proline content, and peroxidase activity were highest in fruits treated with 0.75% zinc, while catalase activity was superior when fruits were sprayed with 0.50% zinc. The interaction between silicon and zinc concentrations was found to be non-significant for most parameters, except for titratable acidity, TSS–acid ratio, ascorbic acid content, antioxidant activity, flavonoid content, and peroxidase activity. In conclusion, the foliar application of 0.3% silicon and 0.75% zinc independently enhanced all yield and quality characteristics of peaches. For the agro-climatic conditions of Peshawar, 0.2% silicon and 0.50% zinc are recommended for optimal peach production. Full article

Enhancing soil fertility and maize productivity is crucial for sustainable agriculture. This study aimed to evaluate the effects of tillage practices, nitrogen management strategies, and acidified hydrochar on soil fertility and maize productivity. The experiment used a randomized complete block design with split-split plot arrangement and four replications. Main plots received shallow tillage and deep tillage. Subplots were treated with nitrogen (120 kg ha⁻¹) from farmyard manure (FYM) and urea, including control, 33% FYM + 67% urea (M_U), and 80% FYM + 20% urea (M_F). Acidified hydrochar treatments H₀ (no hydrochar) and H₁ (with hydrochar, 2 t ha⁻¹) were applied to sub-sub plots. Deep tillage significantly increased plant height, biological yield, grain yield, ear length, grains ear⁻¹, thousand-grain weight, and nitrogen content compared to shallow tillage. M_U and M_F improved growth parameters and yield over the control. Hydrochar effects varied; H₁ enhanced yield components and soil properties such as soil organic matter and nitrogen availability compared to H₀. Canonical discriminant analysis linked deep tillage and M_U/M_F nitrogen management with improved yield and soil characteristics. In conclusion, deep tillage combined with integrated nitrogen management enhances maize productivity and soil properties. These findings highlight the importance of selecting appropriate tillage and nitrogen strategies for sustainable maize production along with hydrochar addition. These insights guide policymakers, agronomists, and agricultural extension services in adopting evidence-based strategies for sustainable agriculture, enhancing food production, and mitigating environmental impacts. The implication of this study suggests to undertake long-term application of hydrochar for further clarification and validation. Full article

Salinity poses a significant threat to agricultural productivity worldwide, with its detrimental effects on plant growth and physiological processes. Understanding the mechanisms by which plants respond to salt stress is crucial for developing strategies to mitigate its impact on crop yield and sustainability. To address this issue, a pot study was conducted to determine the effect of salt stress on the physiological and biochemical attributes of neem (Azdiarchta indica A. Juss). Plants were grown for 10 months in pots filled with soil having different salinity levels of 3, 6, 9, 12, 15, and 18 dS m⁻¹ and compared with a control of 1.7 dS m⁻¹. The results showed that plant growth and chlorophyll contents declined as salinity levels increased. Due to oxidative stress, the contents of H₂O₂ increased under higher salt levels. The mitigation of oxidative stress was achieved through the activation of antioxidant enzymes (catalase, ascorbate peroxidase, peroxidase, and superoxide dismutase). Multivariate analysis indicated that Na⁺ accumulation in plants was positively related to H₂O₂ production and enzymatic activities, and negatively related to plant biomass, chlorophyll contents, root and shoot K⁺ concentration, and root K⁺/Na⁺. The experimental results suggest that neem plants can be grown in moderate saline soils. Full article

Background: The hunt for naturally occurring antiviral compounds to combat viral infection was expedited when COVID-19 and Ebola spread rapidly. Phytochemicals from Nyctanthes arbor-tristis Linn were evaluated as significant inhibitors of these viruses. Methods: Computational tools and techniques were used to assess the binding pattern of phytochemicals from Nyctanthes arbor-tristis Linn to Ebola virus VP35, SARS-CoV-2 protease, Nipah virus glycoprotein, and chikungunya virus. Results: Virtual screening and AutoDock analysis revealed that arborside-C, beta amyrin, and beta-sitosterol exhibited a substantial binding affinity for specific viral targets. The arborside-C and beta-sitosterol molecules were shown to have binding energies of −8.65 and −9.11 kcal/mol, respectively, when interacting with the major protease. Simultaneously, the medication remdesivir exhibited a control value of −6.18 kcal/mol. The measured affinity of phytochemicals for the other investigated targets was −7.52 for beta-amyrin against Ebola and −6.33 kcal/mol for nicotiflorin against Nipah virus targets. Additional molecular dynamics simulation (MDS) conducted on the molecules with significant antiviral potential, specifically the beta-amyrin-VP35 complex showing a stable RMSD pattern, yielded encouraging outcomes. Conclusions: Arborside-C, beta-sitosterol, beta-amyrin, and nicotiflorin could be established as excellent natural antiviral compounds derived from Nyctanthes arbor-tristis Linn. The virus-suppressing phytochemicals in this plant make it a compelling target for both in vitro and in vivo research in the future. Full article