Search Results (581)

The Aspen Plus process simulation with techno-economic assessment was used to evaluate the industrial-scale feasibility of enzymatic hydrolysis of corn stover. Choline chloride (ChCl)-based deep eutectic solvents containing lactic acid (LA), formic acid (FA), and acetic acid (AA) as hydrogen bond donors were used to pretreat the corn stover. Optimal pretreatment conditions (140 °C and a solid-to-liquid ratio of 1:30) achieved high levels of lignin (77.3%, 72.9% and 73.5%) and xylan (90.2%, 93.5% and 90.5%) removal for ChCl/LA (1:5), ChCl/FA (1:5) and ChCl/AA (1:5), respectively, while retaining significant levels of glucan (81.3%, 76.2% and 82%). Subsequent enzymatic hydrolysis at 10% substrate loading yielded glucose at 93.7%, 91.2% and 82.7%, respectively. The DES pretreatment and solvent recovery units accounted for 41.9% of capital costs at a solid-to-liquid ratio of 1:30. Increasing the solid-to-liquid ratio to 1:10 reduced total capital investment by 41.6%. Operational costs were heavily influenced by DES solvent consumption (81.2–92.7% of raw material costs). Of the DESs, the ChCl/FA (1:5) pretreatment process offered the best economic performance, achieving a minimum selling price (MSP) of USD 988.2 per ton. Sensitivity analysis identified glucose yield as the most critical cost driver (±20% variation caused a ±25% change in the MSP, followed by DES recycling efficiency. Fluctuations in DES prices had a limited impact (±20% variation caused a change in MSP of only 2.4–3.8%) due to the solvent recycling mechanism. This study demonstrates the potential of DES pretreatment for industrial application through process optimization, solvent recycling and valorization of by-products. Full article

DNA methylation is an epigenetic modification of the genome, with methylation-based biomarkers showing promise for cancer detection. Quantitative Methylation-Specific PCR (qMSP) is widely used to assess DNA methylation; however, its application to liquid biopsy samples presents technical challenges. Heterogeneity in methylation patterns may impact qMSP accuracy by reducing reliability. This study evaluated the impact of methylation heterogeneity on qMSP performance using synthetic DNA fragments mimicking methylation variation. Additionally, targeted methylation sequencing was performed on prostate cancer tissue and urine samples to examine methylation heterogeneity. The presence of unmethylated CpG sites within the primer and probe regions reduced fluorescence levels and increased Cp values, especially at the 3′-end of primers. The methylation sequencing of genomic DNA from prostate cancer tissue and urine samples revealed the presence of varying methylation patterns, correlating with qMSP outcomes. Tissue samples mainly exhibited fully methylated and fully unmethylated fragments, while urine samples consisted of a higher proportion of partly methylated fragments. The findings suggest that qMSP may not be a reliable method for methylation detection in samples with proportionally high levels of heterogeneous methylated fragments in contrast to fully methylated fragments. This highlights the need for improved DNA methylation analysis in liquid biopsy samples for clinical applications in cancer detection. Full article

To advance automatic tomato leaf disease detection in precision agriculture, this study addresses critical challenges in complex field environments, such as variable lesion scales, background interference, and deployment constraints. We propose MSP-Net, a task-driven detection framework with targeted architectural refinements integrating three specific optimizations. First, a Multi-Scale Perception Convolution Module (MSPCM) is introduced to capture diverse disease features across early-to-late infection stages. Second, SimAM-enhanced C3k2 layers are utilized to suppress background noise and focus on fine-grained lesion cues. Third, a Multi-Scale Feature Enhancement Module (MSFEM) bridges the semantic gap between shallow and deep features to improve fusion efficacy. Furthermore, we construct a lightweight variant, L-MSP-Net, using architectural migration and structured pruning for edge efficiency. Experimental results on the real-world Tomato-Village dataset show that MSP-Net achieves 92.0% mAP@0.5, outperforming the YOLOv11s baseline by 2.0%. L-MSP-Net attains 86.1% mAP@0.5, improving by 3.6% over the lightweight YOLOv11n baseline while reducing parameters by 10.5%, and is successfully deployed on the RK3588 edge platform. Additional cross-dataset experiments on PASCAL VOC and MS COCO evaluate the transferability of the proposed architectural refinements to generic object detection tasks. Full article

Deployed in distributed organizations and edge networks, contemporary intrusion detection increasingly requires high-performing models without centralizing sensitive traffic logs. This study presents a lightweight federated intrusion detection framework that integrates (i) unidirectional serialization to convert tabular flow records into short sequences, (ii) multi-scale one-dimensional convolutions to capture heterogeneous temporal–statistical patterns at different receptive fields, and (iii) an attention-based reweighting module that emphasizes informative feature channels prior to classification. A sample-size-weighted FedAvg aggregation protocol is used to train a global detector without transferring raw data. Experiments on three widely used benchmarks (UNSW-NB15, KDD Cup 99, and NSL-KDD) under multiple client configurations report consistently high detection effectiveness, with peak accuracies of 99.38% (UNSW-NB15), 99.86% (KDD Cup 99), and 99.02% (NSL-KDD), alongside strong precision, recall, and F1 scores. In addition, the proposed framework is quantitatively benchmarked on UNSW-NB15 against two recent federated intrusion detection baselines, FedMSP-SPEC and a multi-view federated CAE-NSVM model, demonstrating improvements of more than 10 percentage points in macro F1-score while retaining a compact architecture. The manuscript further specifies a concrete threat model, clarifies the client data partitioning strategy and Non-IID quantification, and provides a reproducibility protocol (hyperparameters, random seeds, and evaluation procedures) to facilitate independent verification. Full article

This study evaluated the effects of supplementing a multi-strain probiotic (MSP) in low–crude protein (LP) diets on growth performance, apparent nutrient digestibility, selected fecal microbial populations, and nitrogen (N) utilization in weaned piglets. A 7-week feeding trial was conducted using 105 weaned crossbred piglets (Duroc × [Landrace × Yorkshire]) with an initial body weight of 6.55 ± 1.09 kg. Based on initial body weight and sex, piglets were randomly assigned to three dietary treatments using a randomized complete block design, with seven replicates per treatment and five pigs per pen (two gilts and three barrows). The dietary treatments included CON: normal crude protein (CP) diet; TRT1: LP diet; and TRT2: LP diet supplemented with 0.01% MSP. At week 7, the final body weight (BW) was higher in CON and TRT2 than in TRT1 (p < 0.05). During weeks 1–3, the feed conversion ratio (FCR) was lower in CON than in TRT1 (p < 0.05). In weeks 5–7, average daily gain (ADG) was higher in CON and TRT2 than in TRT1 (p < 0.05), while only CON showed a reduced FCR (p < 0.05). Over the entire trial, ADG was highest in TRT2 (p < 0.05), and FCR was lower in both CON and TRT2 compared with TRT1 (p < 0.01). At the end of the experiment, apparent nitrogen digestibility was significantly improved in CON and TRT2 relative to TRT1 (p < 0.05). Fecal Lactobacillus counts were elevated, and Escherichia coli abundance decreased in TRT2 (p < 0.05), indicating a more favorable profile of selected fecal bacterial indicators. In the N balance trial, six healthy piglets (three barrows and three gilts) per treatment were randomly selected and housed individually in metabolism cages. After a 3-day adaptation, total feces and urine were collected for four days to determine N intake, fecal and urinary N excretion, and N retention. At week 7, DM and N intake were unaffected by dietary treatment, whereas fecal N excretion was lower in TRT2 and CON relative to TRT1 (p < 0.05). Overall, supplementation of MSP in LP diets partially mitigated the adverse effects associated with reduced dietary protein by enhancing feed efficiency and nitrogen utilization, resulting in growth performance comparable to that of piglets fed a normal CP diet. Full article

Recreational weightlifting has become increasingly popular in Kuwait, yet limited data exist regarding musculoskeletal pain (MSP) associated with it. This study aimed to assess the prevalence and anatomical distribution of MSP among recreational resistance trainers (RRTs) in Kuwait and to examine pain patterns according to gender, age, and training history. A total of 642 RRTs (304 males and 341 females) who practiced resistance training for at least 6 months 2 times a week were surveyed using the Nordic Musculoskeletal Questionnaire (NMQ) through face-to-face interviews. MSP prevalence over the previous 12 months was analyzed by anatomical region, and binary logistic regression was applied to investigate predictors of low back pain (LBP). The results indicated a high prevalence of MSP, particularly in the lower back and shoulders, with increased reports among older participants and those with longer training histories. Logistic regression analysis revealed that age and years of practice were significant predictors of LBP, while female gender was associated with higher odds of reporting symptoms. These findings highlight the substantial burden of MSP among RRTs in Kuwait and underscore the importance of targeted preventive strategies, including training supervision, technique optimization, and age-specific interventions, to reduce injury risk and promote long-term musculoskeletal health. Full article

Subspace decomposition is a widely adopted approach for mitigating clutter interference in complex sea clutter scenarios. Based on the subspace decomposition principle, this paper expands the method to manifold space and presents a set of matrix information geometry (MIG) detectors with manifold subspace projection (MSP) for handling the target detection problem in nonhomogeneous sea clutter. According to the general method, the sample data are modeled as Hermitian positive-definite (HPD) matrices, and the clutter covariance matrix is estimated as the geometric mean of secondary HPD matrices. Through subspace projection, we map the HPD matrices onto a submanifold to enhance target–clutter separability. Three MSP-MIG detectors are put forward in line with different geometric measures. The experimental results show that our MSP-MIG detectors perform better than both traditional detectors and their non-MSP counterparts in nonhomogeneous sea clutter environment. Full article

Liquid–liquid phase separation (LLPS) underlies the formation of membraneless cellular compartments, yet experimental strategies that directly connect quantitative LLPS behavior with residue-level structural information remain limited. Here, we present an integrated protocol that combines quantitative LLPS assays with nuclear magnetic resonance (NMR) spectroscopy and structure-guided mutagenesis to regulate protein phase separation. Using the VAPB MSP domain as a representative example, this workflow links residue-specific structural features to macroscopic LLPS behavior and enables suppression or enhancement of phase separation through targeted amino acid substitutions. This protocol provides a generalizable framework for systematic, residue-level regulation of protein LLPS. Full article

Bio-epoxy composites were fabricated by casting a resin–hardener–filler mixture into 3D-printed molds, using different sea-originated secondary raw materials: mussel shell powder (MSP) (63–83 μm) and Posidonia oceanica short fibers (POF) (1–2 mm). Monofiller composites were prepared with 5 or 10 wt.% MSP, or 5 or 10 wt.% POF. Hybrid formulations were also produced, containing both MSP and POF in two combinations, where the total amount of filler again summed up at 10 wt.%. A subset of the samples was conditioned by immersion in a 35 ‰ NaCl solution reproducing seawater composition until saturation was reached. Characterization was carried out on unconditioned and conditioned samples by Shore D hardness and Charpy impact tests while performing three-point flexural loading only on unconditioned ones. Fracture morphology was also investigated. Adding MSP slightly enhanced resin hardness, whereas impact absorption exhibited, to a variable extent, a two-phase behavior, reproducing crack initiation and propagation. The MSP6-POF4 hybrid configuration provided the greatest improvement in absorbed energy (25–30% higher), which was retained after conditioning. The introduction of fillers, first separately, then in combination, resulted in a reduction in flexural strength to a similar extent for all unconditioned configurations. Finally, composite panels containing 10 wt.% MSP, 10 wt.% POF, and a 6MSP–4POF hybrid formulation, intended for prospective boat deck applications, were fabricated and compared with neat bio-epoxy, showing satisfactory consolidation. Density and post-molding dimensional shrinkage were measured on the panels. Full article

Sustainable development is a central objective of contemporary spatial planning; however, empirical evidence on how sustainability principles are implemented through municipal planning instruments remains limited. This study examines how sustainable development is embedded in Municipal Spatial Plans (MSPs) and reflected in spatial development practice in four Slovenian municipalities—Gornja Radgona, Hrastnik, Kostanjevica na Krki, and Lenart. A qualitative, indicator-based comparative framework was applied, structured around five thematic areas, twelve sub-themes, and thirty-one indicators. The analysis triangulated statutory planning documents, ten-year official statistical data, and five-year municipal investment reports, deliberately avoiding composite indices to prevent false precision in cross-municipal comparison. The results show that all MSPs formally incorporate sustainability as a guiding principle; however, significant differences emerge in how concretely these principles are translated into spatial provisions, investments, and observed development trends. Lenart demonstrates the strongest alignment between planning objectives and implementation, while Hrastnik and Gornja Radgona exhibit persistent gaps related to demographic decline and mobility patterns. Kostanjevica na Krki illustrates a protection-oriented sustainability approach shaped by flood risk and constraints relating to cultural heritage. The study concludes that MSPs primarily function as strategic and coordinating instruments, while effective implementation of sustainable development depends on complementary governance arrangements, investment alignment, and monitoring mechanisms beyond statutory spatial planning. The findings provide transferable insights for municipalities facing similar sustainability challenges. Full article

The ageing of elevator travelling cables results in the breakage of inner copper strands, leading to communication and control faults in the elevator system. In this paper, a travelling cable state evaluation method based on time-frequency transformation and a deep learning fitting method is proposed. The cable diagnosis is based on the transmission line theory and finite element simulation results, which indicate that the number of broken strands of copper wires in twisted cables is positively related to the amplitude of fluctuation in the cable’s transmission spectrum. To evaluate this fluctuation with low cost and high accuracy, we acquired the 500 Msps time-domain signal after a square wave with different periods was transmitted through the detected cable; the transmission in base frequency and harmonics is calculated and combined into the total transmission spectrum. A deep learning model with a two-layer 1-D CNN and squeeze-excitation channel attention is utilized to fit the spectrum data, and cross-entropy is applied to estimate the departure between the fitting results and the experimental data, which serves as the cable’s broken-state index. Experiments demonstrate that the proposed method is able to detect minor cable faults such as one or two copper strands broken and could distinguish different broken states with a sensitivity of 16.42 ± 1.39 per break strand. Full article

This paper presents a design for a high-speed digital prototype system for discriminating fast neutrons, thermal neutrons, and γ-rays. The system uses a stilbene–⁶Li glass composite scintillator with excellent pulse shape discrimination (PSD) properties as the neutron detector. The PSD performance was investigated at different sampling rates, revealing stable performance at rates above 250 MSPS. The system core is a high-speed acquisition board based on the AD9434 analog-to-digital converter (ADC) and the ZYNQ7020 field-programmable gate array (FPGA), which acquires detector signals and implements real-time algorithms. The system was energy-calibrated with ²²Na, ¹³⁷Cs, and ⁶⁰Co γ-ray sources and evaluated in a n–γ mixed field. Under an ²⁴¹Am–Be neutron source, the system achieved Figure of Merit (FOM) values of 1.26 for fast neutron/γ, 2.18 for fast neutron/thermal neutron, and 3.25 for γ/thermal neutron discrimination above the 50 keVee electron equivalent energy threshold. These results are consistent with the analysis of down-sampled data from a DT-5730 digitizer, confirming that the system meets its design objectives. Additionally, the measured false alarm rates (FAR) were 0.33% for ⁶⁰Co, 0.34% for ¹³⁷Cs, and 0.26% for ²²Na. This system integrates waveform discrimination and energy spectrum measurement capabilities, providing a high-performance, cost-effective electronic solution for high-speed signal acquisition and real-time processing in novel composite scintillator neutron detectors. Full article

This paper presents a multichannel electronics measurement system that uses microwave sensors to perform real-time microplastics assessment in aqueous environments. The system is capable of simultaneously reading up to four microwave sensors, enabling the use of multiple sensors that target microplastic particles with different sizes and properties. The multichannel capability allows the measurement of multiple MW sensors integrated with different microfluidic channel designs while targeting different MPs’ dimension ranges, although experimental validation in this work was limited to a single sensor. Each readout channel is implemented combining radio-technology-integrated circuits with a microprocessor that has advanced analog peripherals used for signal conditioning and acquisition. An ADF4351 wideband frequency synthesizer is used for excitation signal generation while an ADL5902 power detector converts the sensor output to a DC voltage. Baseline removal and amplification of the power detector output is realized with a MSP430FR2355 microprocessor which is also responsible for its acquisition at 40 kHz and digital decimation. Characterization results show the system’s capability to generate excitation signals between 700 MHz and 3.5 GHz with power levels around 0 dBm. Sensor output can be detected with a power between −50 dBm and −5 dBm and a 230 Hz bandwidth. A compact form factor of 15 cm × 10 cm × 3 cm was realized together with a low power consumption of 6.6 W. Validation was realized with a previously developed microwave sensor, demonstrating the detection of polyethylene spheres with 400 μm diameters animated in 10 mL/min flux within the microfluidics device. Full article

Background/Objectives: Sarcopenia (Sp) and obesity (Ob) have significant negative effects on steatotic liver disease (SLD). Here, we examined the effects of sarcopenic Ob (SO) on liver fibrosis in patients with SLD. Methods: We included 811 patients who visited our outpatient clinic and underwent FibroScan (Echosens, France). Liver stiffness (LS) was assessed using body mass index (BMI) and grip strength (GS). We conducted a similar analysis by converting the difference in estimated glomerular filtration rate (dGFR) based on creatinine and cystatin C levels into GS. Results: The cutoff values for distinguishing metabolic dysfunction-associated steatotic liver disease (MASLD; 298 patients) with LS > 10 kPa (advanced fibrosis) were set separately for men and women using receiver operating characteristic analysis. BMI was set at >26 kg/m² in women and >27 kg/m² in men (modified Ob (mOb)), and GS was set at <16 kg in women and <31 kg in men (modified Sp (mSp)). The ratio of advanced fibrosis was higher in the group with both mSp and mOb (mSpOb) than in the group with mSp alone or mOb alone in MASLD or alcoholic liver disease (ALD, 97 patients). However, this association has not yet been observed in other diseases. The dGFR was used to set the cutoff value corresponding to advanced fibrosis. Sp-dGFR (SpdG) was >1.14 in women and >−0.76 in men in the MASLD group. mSpOb, SpdG and Ob are associated with advanced fibrosis in MASLD logistic regression analysis. Conclusions: SO, assessed using BMI and GS or dGFR, was associated with elevated LS in patients with SLD. Full article

Membrane proteins remain the most challenging targets for structural characterization, yet their elucidation provides valuable insights into protein function, disease mechanisms, and drug specificity. Structural biology platforms have advanced rapidly in recent years, notably through the development and implementation of nanodiscs—discoidal lipid–protein complexes that encapsulate and solubilize membrane proteins within a controlled, native-like environment. While nanodiscs have become powerful tools for studying membrane proteins, faithfully reconstituting the compositional asymmetry intrinsic to nearly all biological membranes has not yet been achieved. Proper membrane leaflet lipid distribution is critical for accurate protein folding, stability, and insertion. Here, we share a protocol for reconstituting tailored compositional asymmetry within nanodiscs through membrane extraction from giant unilamellar vesicles (GUVs) treated with a leaflet-specific methyl-β-cyclodextrin (mβCD) lipid exchange. Nanodisc asymmetry is verified through a geometric approach: biotin-DPPE-preloaded mβCD engages in lipid exchange with the outer leaflet of POPC GUVs solubilized by the lipid-free membrane scaffold protein (MSP) Δ49ApoA-I to form nanodisc structures. Once isolated, nanodiscs are introduced to the biotin-binding bacterial protein streptavidin. High-speed atomic force microscopy imaging depicts nanodisc–dimer complexes, indicating that biotin-DPPE was successfully reconstituted into a single leaflet of the nanodiscs. This finding outlines the first step toward engineering tailored nanodisc asymmetry and mimicking the native environment of integral proteins—a potentially powerful tool for accurately reconstituting and structurally analyzing integral membrane proteins whose functions are modulated by lipid asymmetry. Full article