Search Results (2,154)

In massive multiple-input multiple-output (MIMO) joint communication and sensing (JCAS) systems, hybrid beamforming (HBF) has attracted much attention because it can provide a favorable tradeoff between beamforming gain and hardware cost. However, HBF design in MIMO-JCAS systems is highly challenging. The main reasons are the strong coupling between the analog and digital precoders in joint communication-sensing optimization and the high-dimensional search space caused by large-scale antenna arrays. In this paper, a state-driven adaptive deep-unfolded hybrid beamforming algorithm is proposed for MIMO-JCAS systems. Specifically, the analog precoder update is redesigned in a manifold-based form to better match the geometry of the constant-modulus constraint, while the digital precoder update is enhanced by a learnable gradient-balancing mechanism to alleviate the dynamic imbalance between the communication-rate gradient and the sensing-error gradient. Furthermore, a lightweight state-driven control network is introduced to generate scaling factors for the hyperparameters according to the current iteration state, so that the unfolded model can adapt its update behavior during optimization. Different from conventional deep-unfolded methods with static hyperparameters during inference, the proposed method provides a more effective optimization strategy for the dynamic communication-sensing tradeoff in MIMO-JCAS hybrid beamforming. Simulation results demonstrate the effectiveness of the proposed state-driven adaptive deep-unfolded method. Compared with the conventional deep-unfolded projected gradient ascent (PGA) algorithm with 20 inner iterations, the proposed method improves the joint objective, while achieving faster convergence and stronger robustness. Full article

A novel macromolecular photoinitiator (MPI) was synthesized from a copolymer of maleic anhydride and methyl methacrylate and subsequently functionalized with 3-hydroxy-2-methoxy-1,2-diphenylpropan-1-one moieties via a polymer-analogous acylation reaction. The structure and physicochemical properties of the MPI were characterized by IR, UV–Vis, NMR, DSC, and TGA analyses. TiO₂ nanoparticles were successfully functionalized with the MPI, yielding materials with enhanced surface activity and photoinitiating efficiency. The MPI-modified TiO₂ facilitated efficient UV-induced polymerization of methyl methacrylate, as confirmed by DLS and SEM analyses. Compared with unmodified fillers, the resulting composites exhibited improved dispersion, accelerated polymerization rates, and enhanced mechanical properties. This hybrid strategy offers a promising approach for the development of high-performance polymer nanocomposites through the integration of surface-engineered inorganic fillers and photoreactive polymers. Full article

Irrigation water use efficiency (IWUE) is a core indicator for assessing agricultural water use efficiency. However, existing studies predominantly focus on linear relationships between IWUE and individual correlates, with insufficient attention to the nonlinear interactions among multiple factors and the staged pathways of IWUE improvement. Taking 153 large- and medium-sized irrigation districts in Anhui Province as a case study, this research identifies seven key influencing factors—including canal lining rate (CLR), proportion of water-saving irrigation area (WSIR), and water price (WP)—and employs a random forest model coupled with SHAP (SHapley Additive exPlanations) interpretability analysis to uncover the driving mechanisms and enhancement pathways of IWUE. The results reveal that CLR, WSIR, and WP are the top three correlates, collectively contributing 67.80% to IWUE variation, with CLR being the most influential (28.75%). Their effects exhibit strong nonlinearity and threshold behavior: the marginal benefit of CLR diminishes significantly beyond approximately 75%; the optimal incentive range for WP lies between 0.09 and 0.14 CNY/m³; and precipitation exerts a persistent negative constraint. Moreover, IWUE improvement follows a sequential hierarchy: CLR serves as the foundational prerequisite; once CLR reaches a certain threshold, advancing WSIR becomes essential; and further gains require synergistic interaction between WSIR and WP after both attain sufficient levels. This study elucidates the nonlinear response mechanisms and stage-dependent driving patterns of IWUE, offering scientific insights and quantitative support for targeted, precision-oriented upgrades of irrigation infrastructure in Anhui Province and analogous humid/semi-humid regions, thereby contributing to sustainable agricultural water management. Full article

Curcumin is a polyphenolic bio-compound derived from the rhizomes of the turmeric plant (Curcuma longa) that has proven anti-carcinogenic properties but poor bioavailability. By modifying its chemical structure, the monocarbonyl analogs of curcumin (MACs) possess improved stability, resorption, and circulation. This dataset presents RT-qPCR array analysis of 84 genes associated with Epithelial to Mesenchymal Transition (EMT), a key early event in cancer progression and metastasis, in human MCF-7 breast cancer cells. Cells were stimulated toward EMT reprogramming by treatment with a combination of EMT-inducing factors and co-treated with two experimental MACs, C66 or B2BrBC. Gene expression was measured using the human EMT QIAGEN RT² Profiler kit, and results were obtained from three independent experiments. Gene expression changes are presented as both fold regulation and fold change values, with statistical significance determined by Student’s t-test (p < 0.05). This comprehensive dataset enables investigation into how MACs modulate the EMT transcriptome in breast cancer cells, with potential applications for understanding EMT mechanisms. The raw and processed data are publicly available and can be used for comparative analyses, validation studies, and bioinformatic analyses of EMT-related signaling pathways. Full article

Background/Objectives: Hepatocellular carcinoma (HCC) exhibits enhanced glycolytic activity, primarily facilitated by Class I glucose transporters (GLUTs), particularly GLUT-2. Phloretin, a natural polyphenol, is known to modulate glucose transport; however, its isoform-specific interactions and functional impact on HCC metabolism remain unclear. This study compared phloretin’s inhibitory effects on glucose uptake in HCC cells versus normal liver cell models and assessed its binding affinity across Class I GLUTs using molecular docking. Methods: Cytotoxicity was evaluated in HepG2 (HCC) and THLE-2 (normal hepatocyte) cells using 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assays to determine biologically relevant concentrations. Glucose uptake at sub-cytotoxic levels was quantified using the fluorescent analog 2-(N-(7-Nitrobenz-2-oxa-1,3-diazol-4-yl)Amino)-2-Deoxyglucose. To elucidate the molecular mechanism, in silico docking simulations were performed to compare the binding affinities of phloretin, glucose, and reference inhibitors (glutor and cytochalasin B) with the outward-facing conformations of GLUT-1 through GLUT-4. Results: Phloretin induced dose- and time-dependent cytotoxicity, with HepG2 cells exhibiting significantly higher sensitivity than THLE-2 cells. Functionally, phloretin markedly reduced glucose uptake in HepG2 cells, whereas THLE-2 cells showed minimal inhibition. Molecular docking revealed that phloretin occupies the central substrate-binding cavity of Class I GLUTs, forming its most stable interaction network with GLUT-2. Conclusions: These results demonstrate that phloretin selectively inhibits glucose uptake in liver cancer cells, likely through its high-affinity interaction with GLUT-2. Collectively, these findings highlight phloretin’s potential as a metabolic therapeutic agent and support GLUT-2 as a viable target for HCC intervention. Full article

For the Vacuum Induction Gas Atomization (VIGA) powder preparation process, a multi-scale coupled numerical simulation and experimental validation were employed to systematically reveal the influence mechanisms of process parameters on the primary atomization flow field structure, secondary atomization droplet breakup behavior, and powder particle size distribution Using Computational Fluid Dynamics (CFD) methods combined with the VOF (Volume of Fluid) multiphase flow model, the fragmentation morphology of the melt during primary atomization was simulated, capturing the dynamic characteristics of liquid film thinning and the reduction in initial droplet area. Concurrently, the DPM (Discrete Phase Model) coupled with the TAB (Taylor Analogy Breakup) model was applied to predict the droplet size distribution in secondary atomization. The results indicate that increasing atomization pressure (2.5–4.5 MPa) significantly enhances secondary fragmentation intensity, reducing the median particle size (D50) from 42.1 μm to 37.5 μm. Experimental studies on Ni-based superalloys, validated by laser particle size analysis, confirmed that higher atomization pressure improves gas velocity and gas–liquid energy conversion efficiency, optimizes turbulent flow structures, and refines powder particles. The study concludes that the multi-scale coupled model effectively predicts atomization dynamics. By optimizing atomization pressure, powder particle size can be significantly refined, providing a theoretical basis for process control of high-performance spherical powders used in additive manufacturing. Full article

This study presents a mechanics based analytical framework for predicting the flexural–shear capacity of reinforced concrete (RC) beams strengthened with Engineered Cementitious Composites (ECCs) and a hybrid ECC–GFRP near surface mounted (NSM) system. Building upon previously reported experimental observations, the present work aims to establish rational prediction models capable of capturing the interaction between flexural and shear mechanisms in strengthened beams. The analytical approach integrates sectional analysis for flexural capacity with a modified truss analogy for shear resistance, explicitly incorporating the strain hardening tensile contribution of ECC and the tensile and confinement effects of GFRP reinforcement. An interaction based failure criterion is subsequently employed to identify the governing failure mode under combined flexural shear actions. The proposed model is validated against experimental results obtained from twenty seven beam specimens with varying flexural and shear reinforcement ratios and strengthening configurations. The predicted ultimate loads show good agreement with experimental values, with an average deviation within ±10%. The analytical framework accurately captures the transition between flexural dominated, combined flexural–shear, and diagonal tension failures observed experimentally. Results demonstrate that ECC significantly enhances ductility and shear crack control, while the hybrid ECC–GFRP system provides substantial strength enhancement with a controlled shift in failure mode. Overall, the developed analytical models offer a reliable and computationally efficient tool for predicting the flexural–shear capacity and failure behavior of ECC and hybrid ECC–GFRP-strengthened RC beams, supporting performance based design and practical strengthening applications. Full article

Fruit endocarp and seed coat are essential protective structures that influence key agronomic and mechanical traits in species with lignified protective tissues, yet their regulatory mechanisms remain incompletely understood. Here, we conducted a comprehensive genome-wide analysis of the MADS-box gene family in four angiosperm species: Juglans sigillata, Carya illinoinensis, Macadamia integrifolia, and Ricinus communis. A total of 58, 55, 57, and 57 MADS-box genes were identified, respectively, and systematically characterized through phylogenetic, structural, and evolutionary analyses. Comparative results revealed that MIKCc-type genes are highly conserved and primarily expanded via segmental duplication under strong purifying selection. Co-expression network analysis identified MADS-box genes as high-connectivity hub candidates that are strongly associated with genes involved in tissue specification, hormone signaling, and secondary cell wall biosynthesis. Promoters analysis indicated that these genes contain diverse cis-regulatory elements; however, these results are based on sequence prediction and do not demonstrate functional regulatory interactions. Across species, MADS-box genes exhibited analogous temporal expression dynamics during lignified endocarp and seed coat development, consistent with a potentially conserved transcriptional framework. Collectively, this study provides new insights into the evolutionary diversification and putative functions of MADS-box genes, and proposes a putative hierarchical regulatory framework for lignified endocarp and seed coat development. These findings supply valuable candidate target genes for future molecular breeding aimed at improving shell thickness, hardness, and related agronomic traits in woody nut and oilseed species. Full article

Spaceflight associated neuro-ocular syndrome (SANS) is a significant ophthalmic complication observed in astronauts during and after long-duration missions, characterized by optic disc edema, globe flattening, choroidal folds, and hyperopic shifts. Unlike papilledema in terrestrial idiopathic intracranial hypertension, optic disc edema in SANS is often asymmetric. The mechanisms underlying this asymmetry remain poorly understood. In this narrative review, we synthesize and critically interpret existing clinical observations, anatomical studies, neuroimaging findings, and experimental evidence, and propose that uneven ocular venous congestion, arising from microgravity-induced cephalad fluid shifts, pre-existing transverse sinus asymmetry, and orbital venous overload, leads to asymmetric optic disc edema by differentially disrupting anterograde ocular glymphatic transport between the eyes. This mechanistic framework highlights the interplay between venous hemodynamics and ocular glymphatic flow as a key factor in SANS pathophysiology. Targeted in-flight monitoring and ground-based analog studies will be essential to rigorously test this hypothesis. To this end, we outline a feasible experimental approach that prospectively integrates preflight cerebral magnetic resonance venography, providing data on transverse sinus dominance, with serial in-flight ophthalmic imaging on the International Space Station. This combined strategy could directly determine whether dural venous sinus anatomy predisposes to uneven ocular venous congestion and asymmetric optic disc edema in microgravity. Insights gained from this work may guide the development of effective countermeasures against SANS and broaden our understanding of ocular fluid dynamics under conditions of altered venous physiology on Earth. Full article

As human space missions become longer and more autonomous, robots are expected to assume broader responsibilities in inspection, maintenance, logistics, scientific support, and crew assistance. Among available robot forms, humanoid robotic astronauts are especially relevant because their anthropomorphic embodiment is compatible with human-centered habitats, tools, interfaces, and procedures. Their deployment in orbital and planetary environments, however, introduces challenges that differ from those of terrestrial humanoids, including floating-base dynamics, intermittent contact, whole-body coordination, constrained perception, and delayed supervision. This review contributes a mission-oriented and astronaut-centered synthesis of humanoid robotic astronauts, distinguishing itself from platform-by-platform or morphology-only surveys. It treats these systems as mission-compatible embodied agents whose feasibility depends on the coupling among mission context, morphology, contact behavior, perception, autonomy, and validation evidence. The primary goals are threefold: to classify representative platforms according to mission context, to synthesize the core technical foundations required for mission-compatible operation, and to identify cross-cutting deployment bottlenecks and benchmarking priorities for future development. Representative systems are organized into intravehicular assistance, extravehicular operations and on-orbit servicing, and surface exploration or transitional scenarios, showing how mission demands shape embodiment, mobility, manipulation, autonomy, and validation strategies. This review further summarizes recent progress in microgravity dynamics and contact mechanics, multimodal perception and scene understanding, whole-body motion planning and control, teleoperation and supervised autonomy, and evaluation and benchmarking methods. The analysis indicates that humanoid robotic astronauts are not simple extensions of terrestrial humanoids but astronaut-oriented embodied systems for mission-constrained environments. Three priorities are identified for future development: contact-rich whole-body intelligence under support transitions, delay-tolerant supervised autonomy with explicit authority handoff, and systematic benchmarking pipelines that connect simulation, ground analogs, short-duration microgravity tests, human-in-the-loop trials, and mission-context demonstrations. Full article

Viral infections of the central nervous system produce memory impairment through mechanisms that extend beyond acute neuronal injury. Herpes simplex virus type 1, human immunodeficiency virus, varicella zoster virus, cytomegalovirus, Epstein–Barr virus, influenza, SARS-CoV-2, West Nile virus, and Zika virus each enter or engage the brain through distinct routes, yet converge on four shared molecular pathways that selectively damage hippocampal circuits: mitochondria-associated membrane (MAM) dysfunction, chronic neuroinflammation, blood–brain barrier (BBB) disruption, and impaired CREB-BDNF signaling. These pathways specifically compromise the dentate gyrus, CA3, and CA1 subfields, producing predictable deficits in pattern separation, associative retrieval, and temporal memory binding. Antiretroviral and antiviral therapies suppress viral replication but fail to reverse organelle-level dysfunction, leaving most hippocampal injury unaddressed. Emerging plasma biomarkers, p-tau217, neurofilament light chain, and GFAP, combined with hippocampal subfield MRI, now enable mechanistic stratification before irreversible circuit loss occurs. This review proposes, as a unifying hypothesis, that virus-associated memory impairment represents a convergent hippocampal syndrome driven by shared downstream pathways, and that combination therapies targeting these pathways simultaneously offer greater therapeutic promise than pathogen-specific approaches alone. The evidentiary basis for this framework varies across pathogens and conditions; direct mechanistic evidence, mechanistic analogy, and preclinical data are distinguished throughout. Full article

Cycle-to-cycle variability of switching parameters inherent to memristive devices introduces significant problems in the design of neuromorphic systems and non-volatile memory. This study investigates the dynamics of a second-order memristive system incorporating capacitive effects that model parasitic charge within individual memristors, addressing both the technical need for accurate analysis of complex regimes and the demand for exploratory environments. Simulations were performed using CUDAynamics, an interactive software suite developed by the authors, which utilizes parallel computing, primarily via NVIDIA Compute Unified Device Architecture (CUDA). It integrates multiple analysis tools for dynamical systems, including bifurcation diagrams, the largest Lyapunov exponent and periodicity mapping, and interactive navigation in multidimensional parameter spaces. The memristive system was discretized applying multiple integration methods with a fixed time step and various waveforms of the input signal. Analysis tools revealed well-defined regions of chaotic dynamics in the memristor resistance parameter space as functions of input signal properties. Sinusoidal and triangular waveforms produced topologically similar distributions of dynamical regimes, whereas the square waveform, mimicking digital inputs, generated distinct dynamical patterns while still preserving chaotic trajectories under specific conditions. Interactive visualization capabilities of CUDAynamics effectively demonstrate attractor evolution and hysteresis deformation, providing immediate visual feedback that significantly enhances conceptual comprehension of nonlinear feedback mechanisms. Beyond its practical implications for the design of analog and digital memristive devices, CUDAynamics offers a scalable, open-source toolkit to aid researchers and engineers in exploring complex dynamical phenomena. Full article

Analog digital video recorders (DVRs) are still extensively used in small-to-medium business and home security systems, but there are special problems when it comes to forensic recovery of video evidence in these systems that are not covered by tools or methodology. Compared to the IP-based network video recorders, analog DVRs packetize video frames of several coaxial-connected cameras into a single interleaved binary stream on disk, necessitating channel demultiplexing before single camera footage can be reassembled. In this paper, we discuss a multi-channel analog Dahua DVR system utilizing the DHAV frame format, with a focus on the forensic recovery approach. Three significant contributions are presented in the methodology: (1) a channel demultiplexing algorithm that separates interleaved frames with up to 32 cameras on the basis of embedded channel identifiers and temporal coherence analysis; (2) a frame sequence stitching mechanism to reassemble continuous video segments on the basis of non-contiguous disk fragments using adaptive frame number tolerance (±3 frames) and temporal validation (≤1 second difference); and (3) a native C implementation with Win32 GUI providing significant performance improvements over interpreted alternatives. The system was tested on 14 analog Dahua DVR hard drives of various models, with a 92.3% recovery rate (97.1% on hard drives with no hardware damage), 91.3% temporal accuracy, 97.5% channel separation accuracy and a 1.8% false positive rate. The methodology fills an important gap in the literature of surveillance forensics, where current studies have only concentrated on IP-based digital systems, and analog DVRs form an estimated 35–40% of operational surveillance systems across emerging markets. The channel demultiplexing capability, which is not found in any current commercial or academic tool, enables automated per-camera organization of interleaved streams, converting what was previously a manual multi-day process into an automated one. Full article

Series arc faults on the DC side of photovoltaic (PV) systems are a critical hazard that can trigger system fires. Conventional contact-based detection methods suffer from cumbersome installation and high retrofit cost, whereas existing non-contact approaches mostly rely on megahertz-level high-frequency sampling and therefore require expensive radio-frequency instrumentation or high-performance computing platforms. As a result, it remains difficult to simultaneously achieve strong interference immunity and real-time performance on low-cost embedded devices with limited resources. To address this engineering paradox between high-frequency sampling and constrained computational capability, this paper proposes a fully embedded, non-contact arc fault detection system based on a 12–80 kHz low-frequency sub-band selection strategy. By exploiting the physical characteristic of broadband energy elevation induced by arc faults, the proposed strategy avoids dependence on high-bandwidth hardware. Guided by this strategy, a Moebius-topology coaxial shielded loop antenna is employed as the near-field sensor, while an ultra-simplified passive analog front end is constructed directly by using the on-chip programmable gain amplifier and analog-to-digital converter of the microcontroller unit, enabling efficient signal acquisition and fast Fourier transform processing within the target sub-band. To cope with complex background noise in the low-frequency range, an environment-adaptive baseline mechanism based on exponential moving average and exponential absolute deviation is developed for dynamic decoupling. In addition, a lightweight INT8-quantized multilayer perceptron is introduced as a nonlinear auxiliary module, thereby forming a robust hybrid decision architecture with complementary rule-based and artificial intelligence components. Experimental results show that, under the tested household, laboratory, and PV-site conditions, the proposed system achieved an overall detection rate of 97%, while the remaining 3% mainly corresponded to failed ignition or non-sustained arc attempts rather than persistent false triggering during normal monitoring. Full article

Background/Objectives: Inflammation is a critical contributor to the development of diabetic retinopathy (DR). In the early stages of DR, the compromised permeability of the blood–retina barrier facilitates the infiltration of macrophages and the activation of microglia. These specific retinal immune cells can adopt morphologies M1 or M2, linked to pro- or anti-inflammatory responses, respectively. This dual response represents a new therapeutic target against DR progression. This study aimed to investigate the modulation of the response M1/M2 and the molecular mechanism of two algal diterpenoids, rugukadiol A (RK) and ruguloptone A (RL), in the early inflammatory events associated with DR. Methods: LPS-stimulated microglial (Bv.2) and macrophage (RAW264.7) cells and an ex vivo physiological model of DR were used to analyze the effects of RK and RL on M1 and M2 inflammatory markers. Results: Compounds RK and RL, besides decreasing the expression of the M1 pro-inflammatory factors iNOS, Il6 mRNA, and NLRP3 in LPS-stimulated Bv.2 cells, caused enhancements in Arg-1 mRNA and Il10 mRNA expression consistent with the induction of an M2 anti-inflammatory response. RK promoted p38α-MAPK phosphorylation, suggesting a non-classical activation of p38α related to the induction of anti-inflammatory responses. Consistently, treatment of retinal explants of BB rats in the early stages of DR with RL decreased M1 pro-inflammatory mediators and induced M2 anti-inflammatory markers, with a reduction in gliosis and a phenotype switch from activated to resting microglia. Conclusions: This study provides the first evidence of algal diterpenoids attenuating pro-inflammatory mediators and promoting the resolution of inflammation in a diabetic retinopathy context, thus opening the way to further explore this class of marine natural products and analogs for early DR management. Full article