Search Results (1,252)

Typical fertilizer applicators are often restricted in performance due to non-uniformity in distribution, required labor and time intensiveness, high discharge rate, chemical input wastage, and fostering weed proliferation. To address this gap in production agriculture, an automated variable-rate fertilizer applicator was developed for the cotton crop that is based on deep learning-initiated electronic control unit (ECU). The applicator comprises (a) plant recognition unit (PRU) to capture and predict presence (or absence) of cotton plants using the YOLOv7 recognition model deployed on-board Raspberry Pi microprocessor (Wale, UK), and relay decision to a microcontroller; (b) an ECU to control stepper motor of fertilizer metering unit as per received cotton-detection signal from the PRU; and (c) fertilizer metering unit that delivers precisely metered granular fertilizer to the targeted cotton plant when corresponding stepper motor is triggered by the microcontroller. The trials were conducted in the laboratory on a custom testbed using artificial cotton plants, with the camera positioned 0.21 m ahead of the discharge tube and 16 cm above the plants. The system was evaluated at forward speeds ranging from 0.2 to 1.0 km/h under lighting levels of 3000, 5000, and 7000 lux to simulate varying illumination conditions in the field. Precision, recall, F1-score, and mAP of the plant recognition model were determined as 1.00 at 0.669 confidence, 0.97 at 0.000 confidence, 0.87 at 0.151 confidence, and 0.906 at 0.5 confidence, respectively. The mean absolute percent error (MAPE) of 6.15% and 9.1%, and mean absolute deviation (MAD) of 0.81 g/plant and 1.20 g/plant, on application of urea and Diammonium Phosphate (DAP), were observed, respectively. The statistical analysis showed no significant effect of the forward speed of the conveying system on fertilizer application rate (p > 0.05), thereby offering a uniform application throughout, independent of the forward speed. The developed fertilizer applicator enhances precision in site-specific applications, minimizes fertilizer wastage, and reduces labor requirements. Eventually, this fertilizer applicator placed the fertilizer near targeted plants as per the recommended dosage. Full article

Sepsis is a life-threatening condition driven by a dysregulated host response to infection, with high mortality and few treatment options. Decades of failed drug development underscore the urgent need for therapies with novel mechanisms of action. Vimentin, an intermediate filament protein, acts as a network hub that senses and integrates cellular signals. Its involvement in key sepsis pathologies, including infection, hyperinflammation, immunosuppression, coagulopathy and metabolic dysregulation, positions it as a potential therapeutic target. This study evaluated the efficacy of ALD-R491, a novel small-molecule vimentin modulator, in a murine model of polymicrobial sepsis induced by cecal ligation and puncture (CLP). Mice received ALD-R491 prophylactically or therapeutically, alone or with ceftriaxone. The treatment significantly reduced serum levels of key biomarkers of sepsis, including C-reactive protein (CRP), lactate (Lac), tumor necrosis factor-alpha (TNF-α) and interleukin-6 (IL-6), and dose-dependently improved the survival of septic mice. Organ-specific analysis confirmed the effects of ALD-R491 in mitigating hyperinflammation and multi-organ injury. The treatment reduced pulmonary edema and inflammation; preserved liver tissue architecture and improved hepatic function with lowered alanine aminotransferase/aspartate aminotransferase (ALT/AST); decreased kidney tubular damage; and improved renal function with lowered creatinine/blood urea nitrogen (BUN). These preclinical findings indicate that the vimentin-targeting agent ALD-R491 represents a promising therapeutic candidate for sepsis and merits further clinical investigation. Full article

Atmospheric turbulence severely limits the stability and reliability of free-space optical (FSO) uplinks by inducing wavefront distortions and random intensity fluctuations. This study investigates the use of reinforcement learning (RL) with beacon-based feedback for adaptive beam shaping in a spatial light modulator (SLM)-controlled FSO link. The RL agent dynamically adjusts phase patterns to maximize received signal strength, while the beacon channel provides turbulence estimates that guide the optimization process. Experiments under low, moderate, and high turbulence levels demonstrate that incorporating beacon feedback can enhance link stability in severe conditions, reducing signal variability and suppressing extreme fluctuations. In low-turbulence scenarios, the performance is comparable to non-feedback operation, whereas under high turbulence, beacon-assisted control consistently achieves lower coefficients of variation and improved bit error rate (BER) performance. Under high turbulence replay experiments—where the best-performing RL-learned phase patterns are reapplied without learning—further show that configurations trained with feedback retain robustness, even without real-time turbulence measurements under high turbulence. These results highlight the potential of integrating contextual feedback with RL to achieve turbulence-resilient and stable optical uplinks in dynamic atmospheric environments. Full article

With the rise of 6G, the exponential growth of data traffic, the proliferation of emerging applications, and the ubiquity of smart devices, the demand for spectral resources is unprecedented. Terahertz communication (100 GHz–3 THz) plays a key role in alleviating spectrum scarcity through ultra-broadband transmission. In this study, terahertz optical carrier-based systems are employed, where fiber-optic components are used to generate the optical signals, and the signal is transmitted via direct detection in the receiver side, without relying on fiber-optic transmission. In these systems, deep learning-based equalization effectively compensates for nonlinear distortions, while probability shaping (PS) enhances system capacity under modulation constraints. However, the probability distribution of signals processed by PS varies with amplitude, making it challenging to extract useful information from the minority class, which in turn limits the effectiveness of nonlinear equalization. Furthermore, in IM-DD systems, optical multipath interference (MPI) noise introduces signal-dependent amplitude jitter after direct detection, degrading system performance. To address these challenges, we propose a lightweight neural network equalizer assisted by the Synthetic Minority Oversampling Technique (SMOTE) and a clustering method. Applying SMOTE prior to the equalizer mitigates training difficulties arising from class imbalance, while the low-complexity clustering algorithm after the equalizer identifies edge jitter levels for decision-making. This joint approach compensates for both nonlinear distortion and jitter-related decision errors. Based on this algorithm, we conducted a 3.75 Gbaud W-band PAM4 wireless transmission experiment over 300 m at Fudan University’s Handan campus, achieving a bit error rate of 1.32 × 10⁻³, which corresponds to a 70.7% improvement over conventional schemes. Compared to traditional equalizers, the proposed new equalizer reduces algorithm complexity by 70.6% and training sequence length by 33%, while achieving the same performance. These advantages highlight its significant potential for future optical carrier-based wireless communication systems. Full article

Neuronutrition to improve brain resilience to stress and human health has received considerable attention. The use of specific nutrients is effective in preventing and slowing neurodegenerative and neuropsychiatric disorders. Selective neuronutrients, including polyphenols, short-chain fatty acids (SCFAs), tryptophan, tyrosine, and sulfur metabolites, can modulate the dysregulated nuclear factor erythroid 2 (Nrf2) pathway through neuroepigenetic modifications and altered levels of neurotransmitters such as serotonin, melatonin, and dopamine. In particular, abnormal epigenetic alterations in the promoter function of the NFE2L2/Nrf2 gene may contribute to the onset and progression of various diseases by disrupting cellular homeostasis. Recent evidence has documented that polyphenols are capable of modulating Nrf2 signaling; to do this, they must reverse hypermethylation in the CpG islands of the NFE2L2 gene. This process is achieved by modifying the activity of DNA methyltransferases (DNMTs) and histone deacetylases (HDACs). Furthermore, a diverse group of polyphenolic metabolites can be identified and quantified using innovative mass spectrometry platforms in both in vitro models and human urine samples to investigate redox metabolic homeostasis under physiological and pathophysiological conditions. This review aims to deepen the current understanding of the role of nutrient-derived secondary metabolites. It highlights innovative strategies to effectively prevent, slow, or potentially reverse neuroinflammation and oxidative stress, key drivers of neuronal damage. The targeted application of these metabolites can be considered a novel, personalized neuronutritional approach to promote brain health and neuronal adaptation. Full article

Background/Objectives: Exogenous ketone supplements elevate circulating ketones without carbohydrate restriction, but their long-term hepatic safety remains unclear. This study evaluated the formulation-dependent impact of chronic ketone supplementation on liver histopathology, inflammatory signaling, and systemic biomarkers in rats. Methods: Male Sprague-Dawley rats were orally administered 1,3-butanediol (BD), medium-chain triglycerides (MCTs), ketone ester (KE), ketone electrolytes/salts (KSs), or a ketone salt–MCT combination (KSMCT) for 4 weeks. In a separate arm, animals received standard diet (SD), or SD supplemented with low-dose KE (LKE) or high-dose KE (HKE), for 83 days. Liver structure was assessed by hematoxylin and eosin staining with quantification of red blood cell density and lipid accumulation. Inflammatory and metabolic responses were evaluated by TNF-α and arginase immunohistochemistry. Serum biochemistry included glucose, proteins, electrolytes, and liver and kidney function markers. Results: BD and KE induced macrovesicular steatosis, vascular congestion, and elevated TNF-α and arginase expression, consistent with hepatic stress. MCT caused moderate hepatocellular ballooning and lipid deposition, whereas KS preserved near-normal hepatic morphology. KSMCT produced intermediate effects, reducing lipid accumulation and TNF-α compared with MCT or KE alone. KE supplementation caused dose-dependent reductions in globulin and elevations in creatinine, while HKE reduced sodium and glucose levels. Conclusions: Chronic hepatic responses to exogenous ketones are highly formulation dependent. KS demonstrated the most favorable safety profile under the tested conditions, maintaining normal hepatic structure, while BD and KE elicited adverse changes. Formulation choice is critical for the safe long-term use of exogenous ketones. Full article

Aberrant activation of proangiogenic signaling pathways, particularly the vascular endothelial growth factor (VEGF) axis, drives neovascularization and tumor progression in colorectal cancer (CRC). Bevacizumab targets VEGF-A-mediated angiogenesis, but the lack of validated predictive biomarkers limits personalized treatment. In this prospective study, we evaluated a panel of circulating angiogenic biomarkers combined with clinical parameters, using mathematical models to predict survival in metastatic CRC patients treated with bevacizumab and chemotherapy. Low VEGF-A and VEGF-D levels, together with high bFGF, were associated with improved overall survival (OS). A logistic regression model incorporating these biomarkers, regional lymph node invasion, and primary tumor resection status showed significant prognostic accuracy (p < 0.001). Incorporating CypA further refined the model, identifying patients with low VEGF-A, VEGF-D, and CypA, and high VEGF-C and PlGF, as having the most favorable OS. These findings demonstrate that integrating clinical and circulating biomarker data can improve individualized risk assessment and support personalized therapeutic strategies for CRC patients receiving bevacizumab. Full article

Alzheimer’s disease (AD) is a neurodegenerative disorder that significantly impacts the lives of patients and their families. The pathological features of AD include the accumulation of amyloid-β (Aβ) and Tau, which disrupt neuronal function and communication, ultimately leading to neuronal loss and brain atrophy. Efforts to understand the molecular mechanisms underlying these pathological changes have led to advancements in diagnostic techniques and potential therapeutic interventions. However, the complexity of AD necessitates further research to develop more effective treatments and, ideally, preventive measures. Extensive research suggests that diminishing mTOR signaling increases lifespan and health span across various species. Increased PI3K/mTOR signaling has been linked to the progression of AD pathology, leading to neuronal degeneration and impairments in cognitive function. In this study, we explored the therapeutic potential of PF-04691502, a dual PI3K/mTOR inhibitor, in Alzheimer’s disease (AD)-like pathology using male and female B6.Cg-Tg(APPswe, PSEN1dE9)85Dbo/Mmjax mice (APP/PS1), a well-established transgenic model of AD. Eighteen-month-old APP/PS1 and wild-type mice received oral administration of PF-04691502 at a dose of 1 mg/kg for 12 weeks. Following the treatment period, spatial learning and memory were evaluated using the Morris water maze. Subsequently, the mice brains were collected for neuropathological and biochemical assessments. Our findings showed that PF-04691502 enhanced cognitive performance in APP/PS1 mice and significantly reduced insoluble Aβ accumulation in the brain. Mechanistically, these effects were associated with enhanced autophagy induction. Treatment with PF-04691502 increased the LC3-II/LC3-I ratio, upregulated Beclin-1, and elevated LAMP-2 levels, indicative of stimulated autophagosome formation and lysosomal activity. Overall, these preclinical results suggest that PF-04691502 holds promise as a potential therapeutic agent for AD and other aging-related neurodegenerative diseases involving mTOR pathway dysregulation. Full article

Bone marrow-derived mononuclear cells (BMMCs) have shown beneficial effects on tissue repair, largely attributed to the paracrine action of bioactive mediators such as lysophosphatidic acid (LPA). This study aimed to evaluate the effects of BMMC treatment in a rat model of renal ischemia/reperfusion (I/R) injury, focusing on LPA-related molecular pathways. Male Wistar rats were divided into three groups: control; I/R, subjected to bilateral renal artery clamping for 30 min followed by 24 h of reperfusion; and I/R + BMMC, which received 1 × 10⁶ BMMCs per kidney directly into the renal capsule post-ischemia. During reperfusion, the rats were placed in metabolic cages for urine collection, renal function and protein expression. BMMC treatment did not reverse the I/R-induced increase in urine volume or decrease in glomerular filtration rate, serum potassium, or filtered sodium load. However, it prevented proteinuria, increased blood urea nitrogen, and enhanced urinary potassium excretion. Mechanistically, BMMC treatment prevented I/R-induced upregulation of LPAR1, downregulated LPAR2 and LPAR3, restored plasma LPA levels, and reduced renal autotaxin content. These results suggest that BMMCs modulate harmful LPA-related signaling and may contribute to renal protection through paracrine mechanisms in the setting of acute I/R injury. Full article

Hematopoiesis is a complex process of creating new hemocytes and releasing them from hematopoietic tissue. In the present study, the hematopoietic site in oyster Crassostrea gigas was successfully identified in the proximal sector (designated G2–G3) of the gill hinge with a substantial number of newborn cells and a minor presence of stem-like cells. The homologues of VEGF (CgVEGF) and its receptor CgVEGFR were characterized, and they interacted with each other. After the oysters received an injection of rCgVEGF, the number of EdU-positive (EdU⁺) cells increased within the G2–G3 sector and the hemolymph. When the expression of CgVEGFR was inhibited by RNAi, the percentage of EdU⁺ cells in the hemolymph declined dramatically, but increased significantly in the G2–G3 sector and EdU⁺ cells aggregated in this region. Meanwhile, the phosphorylation levels of CgErk and CgJNK, mRNA transcripts of cell proliferation-related and cell migration-related genes, reduced significantly. These results indicate that the proximal region of the hinge in gill was the site producing hemocytes, and CgVEGF-VEGFR-MAPK signaling pathway induced the migration of newborn hemocytes from this site to the circulating hemolymph, which provides new clues about hematopoiesis in primary invertebrates. Full article

Conventional methods for detecting pharmaceutical and personal care products (PPCPs) in environmental samples are complex, resource-intensive, and not sustainable. Therefore, this study aimed to evaluate an automated sample preparation approach using the Biomek i7 Workstation to analyze 69 PPCPs in wastewater, with the objective to improve monitoring of public health and environmental protection. The method underwent extensive development, including optimization of UPLC-MS/MS parameters, preparation of wastewater matrix blank sample and assessment of extraction efficiency using three types of SPE cartridges. Extraction efficiency trials revealed that the order of suitability for SPE cartridges is Mixed-Mode Anion Exchange (MAX) > Mixed-Mode Cation Exchange (MCX) > Hydrophilic–Lipophilic Balance (HLB). The method demonstrated specificity for all targeted PPCPs, with the max interfering peak for 1, 7 Dimethylxanthine reaching 14.79% of the response at the target limit of quantification (LOQ). The method met ±20% matrix effect tolerance for 63 PPCPs, while 6 PPCPs showed signal enhancement. The 8-point procedural calibration curve prepared using automated robotic extraction has demonstrated linearity across the tested range. A spiking study at low (LQC), medium (MQC), and high (HQC) quality control levels (n = 6), repeated on three separate occasions, showed % RSD values within 20% and % recovery between 80 and 120%. The method met validation requirements, showed reliability in Intra-Laboratory Comparison, Blind Testing (BT) and received high ratings for greenness (Green Analytical Procedure Index, Analytical GREEnness) and practicality (Blue Applicability Grade Index). Full article

The recent advancements in the medical management of patients with chronic heart failure with reduced ejection fraction (HFrEF) is the soluble guanylate cyclase (sGC) stimulator, vericiguat. Clinical trials have demonstrated that vericiguat effectively lowers plasma levels of NT-proBNP and reduces the risk of cardiovascular death or hospitalization in HFrEF patients, making it a class IIb recommendation for patients with worsening heart failure despite receiving guideline-directed medical therapy. However, the precise pathophysiological mechanisms underlying these clinical benefits remain unexplored. This review aims to present the signalling pathways associated with maladaptive remodeling and heart failure progression that can be modulated by sGC stimulators, focusing on the antihypertrophic, antifibrotic, and anti-inflammatory effects of NO–sGC–cGMP signalling observed in preclinical studies. A better understanding of the mechanisms of action of sGC stimulators could optimize heart failure treatment strategies and enable tailoring of therapies to individual patient profiles. Full article

In space applications, the required levels of performance and reliability drive up hardware costs. Reducing the efforts related to device development and validation may help balance the budget. A versatile transmitter for space telemetry is implemented here that may help in this respect. Such a device can switch across different linear and continuous phase modulation schemes just by modifying its parameters, while maintaining the same hardware structure. Results from an extensive campaign of experimental test measurements of the device are reported. A GNURadio-implemented receiver is developed to test performance of the actual transmitter by considering all the main blocks of the receiver chain and computing the bit error rate (BER) at the receiver. After testing different configurations, results confirm that the BER of the improved one-filter modulated signal is lower than the BER obtained using only the first Laurent decomposition component. Full article

Diabetic neuropathy (DN) is one of the most prevalent complications of diabetes mellitus, affecting a substantial proportion of patients and contributing to progressive sensorimotor dysfunction. Despite its clinical significance, available treatments are often insufficient and associated with undesirable effects. This study aims to evaluate the potential of Morus alba (MA), Angelica archangelica (AA), Valeriana officinalis (VO), and Passiflora incarnata (PI) extracts in ameliorating nociceptive alterations and inflammatory markers in the alloxan-induced diabetic rat model. Male Wistar rats with alloxan-induced DN received oral administration of the plant extracts (200 mg/kg/day) or gabapentin (100 mg/kg/day) for 15 days, the dosage regimen being established based on prior efficacy data in preclinical neuropathy models. Behavioral assessments of thermal and mechanical hypersensitivity were conducted using hot plate, tail withdrawal, von Frey, and Randall–Sellito tests. Tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) levels were quantified in brain and liver homogenates to evaluate neuro-inflammatory responses. All plant extracts produced significant improvements in nociceptive thresholds compared to diabetic control, with the most marked effects observed for MA extract. Pro-inflammatory cytokine levels were significantly reduced in all treatment groups, with MA and AA extracts inducing the most significant reductions in TNF-α and IL-6 concentrations. Computational target prediction and molecular docking analyses revealed that key phytochemicals from the plant extracts may exert antihyperalgesic effects through multi-target modulation, notably via interactions with AAK1, a kinase involved in neuropathic pain signaling. The investigated plant extracts displayed significant antihyperalgesic and anti-inflammatory activities in a rat model of DN. Among them, MA extract revealed the most consistent therapeutic profile, supporting its potential role as a strategy for managing DN. Full article

Maritime search and rescue (SAR) demands reliable sensing and communication under sea clutter. Emerging integrated sensing and communication (ISAC) technology provides new opportunities for the development and modernization of maritime radio communication, particularly in relation to search and rescue. This study investigated the dual-function capability of a phase-coded frequency modulated continuous wave (FMCW) system for search and rescue at sea, in particular for life signs detection in the presence of sea clutter. The detection capability of the FMCW system was enhanced by applying phase-modulated codes on chirps, and radar-centric communication function is supported simultaneously. Various phase-coding schemes including Barker, Frank, Zadoff-Chu (ZC), and Costas were assessed by adopting the peak sidelobe level and integrated sidelobe level of the ambiguity function of the established signals. The interplay of sea waves was represented by a compound K-distribution model. A multiple-input multiple-output (MIMO) architecture with the ZC code was adopted to detect multiple objects with a high resolution for micro-Doppler determination by taking advantage of spatial coherence with beamforming. The effectiveness of the proposed method was validated on the 4-transmit, 4-receive (4 × 4) MIMO system with ZC coded FMCW signals. Monte Carlo simulations were carried out incorporating different combinations of targets and user configurations with a wide range of signal-to-noise ratio (SNR) settings. Extensive simulations demonstrated that the mean squared error (MSE) of range estimation remained low across the evaluated SNR setting, while communication performance was comparable to that of a baseline orthogonal frequency-division multiplexing (OFDM)-based system. The high performance demonstrated by the proposed method makes it a suitable maritime search and rescue solution, in particular for vision-restricted situations. Full article