Search Results (1,376)

The physicochemical properties of sorghum determine its application. This study investigated the differences and relationships in the physicochemical properties of four typical japonica sorghum starches (JSS, including JZ159, JZ167, JZ169 and FZ4) and three waxy sorghum starches (WSS, including JN, LML and NL). The results showed that there were significant differences in their hydration properties, thermal properties, gelatinisation properties and digestibility. The water solubility index (WSI) of all starches was positively related to the swelling power (SP). With the increase in temperature (75–95 °C), the SP values of JSS and WSS samples increased significantly, and the SP of WSS samples was higher than that of JSS samples. Before 60 min, the digestibility of JZ159 and JZ167 was significantly lower. At 180 min of digestion, the digestibility of all starches was close (87.49–93.15%). At different temperatures, the SP and WSI values of WSS samples were significantly correlated with the predicted glycemic index (pGI), resistant starch (RS) and rapidly digestible starch (RDS), while the relationships among these parameters in JSS samples varied with temperature. This study also revealed the hydration characteristics of different sorghum starches and the influence of their hydration behaviours on physicochemical and digestive properties. Full article

The potential benefits of nanopesticide use over standard pesticides include more precise application at reduced application rates, lower premature degradation, and decreased direct impacts to target organisms. However, field scale investigations of the fate and transport of common nanopesticides such as copper (II) hydroxide and imidacloprid combinations, remain limited. A field study evaluating nano-scale copper (II) hydroxide (Cu), standard imidacloprid (I), nanoimidicloprid (NI), and nano-scale copper (II) hydroxide and imidacloprid (CuNI) compared to control (C) plots was conducted using thirty 14.6 m² field plots to determine the impacts of nanopesticide applications on nutrient cycling and quantify the persistence of copper (II) hydroxide in soil and surface runoff during the growing season. Soil samples were taken at the beginning and end of the growing season, while water quality runoff samples were collected following eleven rainfall events. Ammonium concentrations in runoff decreased in CuNI plots by 1.74 mg N/L, while total nitrogen concentrations in runoff increased by 1.29 mg N/L in Cu plots compared to CuNI plots. Runoff orthophosphate concentrations decreased in CuNI treatments compared to all other pesticide treatments by 1.37, 1.32, and 1.30 mg P/L in Cu, I, and NI plots, respectively. Significant increases in soil copper concentrations were also observed in all plots receiving Cu. These findings emphasize the potential biogeochemical implications of using these nanopesticides on nutrient cycling in agroecosystems. Full article

Extremely high temperatures can severely impact urban livability and public health safety. However, risk assessments for high temperatures in cold-region cities remain inadequate. This study focuses on Dalian, a coastal city in northeastern China. Utilizing multi-source data, we established a population density prediction model based on the random forest algorithm and a heat vulnerability index (HVI) framework following the “Exposure-Sensitivity-Adaptability” paradigm constructed using an indicator system method, thereby building a high-temperature risk assessment system suited for more refined research. The results indicate the following: (1) Strong positive correlations exist between nighttime light brightness (NL), Road Density (RD), the proportion of flat area (SLP), the land surface temperature (LST), and the population distribution density, with correlation coefficients reaching 0.963, 0.963, 0.956, and 0.954, respectively. (2) Significant disparities exist in the spatial distribution of different criterion layers within the study area. Areas characterized by high exposure, high sensitivity, and low adaptability account for 13.04%, 8.05%, and 21.44% of the total area, respectively, with exposure being the primary contributing factor to high-temperature risk. (3) Areas classified as high-risk or extremely high-risk for high temperatures constitute 31.57% of the study area. The spatial distribution exhibits a distinct pattern, decreasing gradually from east to west and from the coast inland. This study provides a valuable tool for decision-makers to propose targeted adaptation strategies and measures based on the assessment results, thereby better addressing the challenges posed by climate change-induced high-temperature risks and promoting sustainable urban development. Full article

Among other uses, DC-DC converters are employed in the auxiliary power modules (APMs) of electric vehicles (EVs), connecting the high-voltage traction battery to the low-voltage auxiliary system (AS). Traditionally, the APM is an isolated two-port, two-level (2L) DC-DC converter, and the auxiliary loads are fed at a fixed voltage level, e.g., 12 V in passenger cars. Dual-active-bridge (DAB) converters are commonly used for this application, as they provide galvanic isolation, high power density and efficiency, and bidirectional power flow capability. However, the auxiliary loads do not present a uniform optimum supply voltage, hindering overall efficiency. Thus, a more flexible approach, providing multiple supply voltages, would be more suitable for this application. Multiport DC-DC converters capable of feeding auxiliary loads at different voltage levels are a promising alternative. Multilevel neutral-point-clamped (NPC) DAB converters offer several advantages compared to conventional two-level (2L) ones, such as greater efficiency, reduced voltage stress, and enhanced scalability. The series connection of the NPC DC-link capacitors enables a multiport configuration without additional conversion stages. Moreover, the modular nature of the ML NPC DAB converter enables scalability while using semiconductors with the same voltage rating and without requiring additional passive components, thereby enhancing the converter’s power density and efficiency. This paper proposes a modulation strategy and decoupled closed-loop control strategy for the generalized multiport 2L-NL NPC DAB converter interfacing the EV traction battery with the AS, and its performance is validated through hardware-in-the-loop testing and simulations. The proposed modulation strategy minimizes conduction losses in the converter, and the control strategy effectively regulates the LV battery modules’ states of charge (SoC) by varying the required SoC and the power sunk by the LV loads, with the system stabilizing in less than 0.5 s in both scenarios. Full article

Background/Objectives: The reciprocal relationship between Systemic Lupus Erythematosus (SLE) and pregnancy continues to elude the scientific community’s approaches for a clear understanding. Multiple studies have reached dissimilar results regarding the impact that SLE exerts on pregnancy, whilst the potential risks of lupus pregnancies continue to encumber women of childbearing age. Whether SLE predisposes to a complicated pregnancy and conversely whether pregnancy impacts the progression of the disease is aimed to be assessed by this systematic review. Methods: A thorough search of original research articles was conducted using online databases (PubMed, Google Scholar), initially identifying 877 potential studies. Results: Upon further assessment for relevance and eligibility, 65 articles were selected for detailed analysis. Conclusions: We concluded that, even though advanced approaches have optimized SLE prognosis and treatment, the complexity of the disease requires further extensive study in order to grasp the mechanism behind the susceptibility to adverse complications. SLE pregnancy cannot be considered without risk. Comprehensive, multidisciplinary, and continuous monitoring of the disease course prior to, during, and after pregnancy is necessary to ensure optimal recovery and minimal maternal and fetal complications. Tailored treatments and novel biomarkers would move us towards precise patient-centered care that addresses each patient’s unique disease profile and pregnancy needs, ultimately improving both maternal and fetal outcomes in women with systemic lupus erythematosus. Full article

This study examined the removal efficiency of microplastics (MPs) in a wastewater treatment plant (WWTP) in Zhengzhou, China. A three-point sampling approach (influent, process effluent, and final effluent) was employed, with samples collected across three seasons (summer, winter, and autumn) to investigate seasonal variations in MPs. The abundance of MPs in influent ranged from 184.3 ± 4.0 to 145.3 ± 24.0 n/L, while in the process effluent it decreased to 79.3 ± 18.7 to 62.3 ± 15.0 n/L. Furthermore, in final effluent it was further reduced to 26.0 ± 7.0 to 38.7 ± 5.1 n/L. Fragments and granule-shaped MPs predominated (>80%), with polypropylene (PP, 42.6%) and polyethylene terephthalate (PET, 31.8%) emerging as the dominant polymer types. The removal efficiency of MPs in the WWTP was 86%, 81%, and 73% in summer, autumn, and winter, respectively. Additionally, the plant exhibited differing removal efficiencies for MPs of varying sizes. Notably, residual sludge retained substantial MPs loads, with seasonal abundances measuring 22.3 ± 3.2, 14.2 ± 2.4, and 29.1 ± 6.7 n/g in summer, autumn, and winter samples, respectively. The findings underscore the importance of implementing effective management strategies and interventions in wastewater systems to mitigate MP pollution. Full article

Digital PCR, as a nucleic acid absolute quantification method at the single-molecule level, has been widely applied in early cancer screening, single-cell analysis, and other biomedical fields. However, existing digital PCR methods still suffer from high costs, complex operations, and low detection dynamic range, which limit their applications. In the study, we developed a microfluidic chip-based digital PCR with a high-density vertical structure using PDMS (polydimethylsiloxane) flexible material. The chip features a three-layer structure of glass–PDMS–glass, with the PDMS structural layer containing 30,000 reaction chambers, each with a volume of 0.713 nL. This vertical-structured chip can increase the total volume and the total number of chambers by 50% without changing the chip area and chamber volume, thereby significantly enhancing dynamic range and sensitivity of the chip detection. This chip is theoretically capable of achieving a nucleic acid detection dynamic range close to 10⁵. Moreover, the digital PCR quantitative detection results of five different concentrations of serially diluted KRAS plasmid DNA templates using this chip also validated the accuracy and reliability of the nucleic acid quantitative detection results. The vertical-structured digital PCR chip, with its simple manufacturing process, uniform and stable sample partitioning, wide detection dynamic range, and low cost, will promote the widespread application of digital PCR. Full article

Nonlinear least squares (NLS) models are extensively used as optimization frameworks in various scientific and engineering disciplines. This work proposes a novel structured conjugate gradient (SCG) method that incorporates a structured diagonal approximation for the second-order term of the Hessian, particularly designed for solving NLS problems. In addition, an acceleration scheme for the SCG method is proposed and analyzed. The global convergence properties of the proposed method are rigorously established under specific assumptions. Numerical experiments were conducted on large-scale NLS benchmark problems to evaluate the performance of the method. The outcome of these experiments indicates that the proposed method outperforms other approaches using the established performance metrics. Moreover, the developed approach is utilized to address the inverse kinematics challenge in controlling the motion of a robotic system with four degrees of freedom (4DOF). Full article

Bare soil expansion in urban forests, driven by persistent high-intensity trampling, degrades both macro-scale natural resources and micro ecological conditions. Targeted interventions are therefore essential. In this study, trampled bare ground in forest parks and artificially cultivated Ophiopogon japonicus were used as experimental models We employed trampled bare ground in forest parks as well as artificially cultivated O. japonicus as experimental models. Five treatments were implemented: enclosure control (CK), ploughing (F), Bacillus thuringiensis NL-11 application (J), biochar addition (C), and co-application of B. thuringiensis NL-11 with biochar (JC). Our results indicate that, compared with CK, biochar treatments reduced soil bulk density by 30%, increased soil porosity by 89%, and improved water-holding capacity. The soil nitrate nitrogen content in the NL-11 treatment was increased by 113.8% compared with CK, while the co-application of NL-11 with biochar exhibited the highest sucrase and urease activities. Notably, the co-application of B. thuringiensis NL-11 with biochar exhibited the most pronounced effects on aboveground biomass, plant height, and root development, followed by the B. thuringiensis NL-11 treatment. Microbial β-diversity shifts under co-application of B. thuringiensis NL-11 with biochar treatment strongly correlated with soil enzyme activation and plant growth enhancement (Mantel test, p < 0.05). Correlation analysis confirmed that exogenous nutrient inputs significantly influenced enzyme activities, thereby promoting plant development. These results highlight the effectiveness of integrating microbial inoculation with biochar to restore trampled urban forest soils. Full article

The brown planthopper, Nilaparvata lugens, a major rice pest, harbors yeast-like symbionts (YLSs) that form mutualistic relationships with the host, significantly influencing its development and reproduction. As proteasome subunits play major roles in the assembly and functional maintenance of the proteasome, but their regulation on the YLSs in N. lugens are unclear. In this study, we analyzed the spatiotemporal and temporal expression patterns of five N. lugens proteasome subunits (NlPSMA2, NlPSMB5, NlPSMC4, NlPSMD10, NlPSMD13), and further verified their functions on the transovarial transmission of YLSs, in addition to the reproduction of N. lugens, based on RNA interference (RNAi). The results showed that NlPSMA2, NlPSMB5, NlPSMC4, NlPSMD10, and NlPSMD13 were highly expressed in ovarian follicular cells of N. lugens upon sexual maturation. After suppressing the expression of these genes by RNAi, N. lugens exhibited a shortened lifespan, abnormal pear-shaped follicles, and impaired oviposition capacity, but the number of YLSs in the whole body and the oocyte of N. lugens were significantly increased. These results indicate that the proteasome subunits play crucial roles in the reproduction of N. lugens and the transovarial transmission of its YLSs. Full article

Psoriasis is a chronic inflammatory skin disease driven by genetic, environmental, and immune factors. While biologics like adalimumab (anti-TNFα) and risankizumab (anti-IL-23) have improved outcomes, patient response variability remains unclear. This study examined immune-related transcriptomic differences between lesional (L) and non-lesional (NL) psoriatic skin, focusing on immune-related hub genes, their plasma levels, and their correlations with severity and treatment response. Patients with moderate-to-severe psoriasis were enrolled before treatment with anti-TNFα (n = 16) or anti-IL-23 (n = 18). Plasma and paired L and NL skin biopsies were collected for RNA sequencing. Gene ontology enrichment analysis found four immune-related terms enriched in L skin: T-helper 17, granulocyte and lymphocyte chemotaxis, and antimicrobial humoral response. A protein–protein interaction network identified ten immune-related hub genes upregulated in L skin that correlated with clinical severity. Patients with prior treatments expressed distinctive gene profiles. Plasma levels of CCL20 strongly correlated with disease severity. Decision tree models identified CCL20 expression in skin and plasma levels of IL-6 and CXCL8 as candidate predictors for anti-TNFα response. Similarly, skin expression of CXCL8, IL-6, and CXCL10, alongside plasma levels of CCL20, IL-6, and CXCL8, may predict anti-IL-23 response. Ten immune-related hubs may serve as possible biomarkers for disease severity and therapeutic response in psoriasis. Full article

Reclaimed land refers to artificially created soil formed by filling in seawater, leading to rapid ecological changes. Undeveloped reclaimed areas offer opportunities to explore previously unknown soil ecological resources. The Shihwa reclaimed land is an undeveloped area where microbiome-based studies of the microbial community have not yet been conducted. The soil from the Sihwa reclaimed land (SR, SL) showed higher pH (8.9), EC (7.5 dS/m), and Na⁺ content (13.4 cmol⁺/kg), but lower levels of organic matter and phosphorus compared to typical agricultural soils (NL, NS). These unfavorable conditions had a negative effect on lettuce growth, as both fresh and dry weights in the SL treatment (32.5 g and 0.39 g, respectively) were significantly lower than those in the NL treatment (40.4 g and 0.45 g). At the phylum level, Actinobacteria (51.6%) dominated the original reclaimed soil (SR), but after lettuce cultivation (SL), there was an increase in Cyanobacteria (25.3%) and Proteobacteria (29.4%). At the order level, Streptomycetales (35.2%) and Bacillales (13.5%) were predominant in SR, whereas in SL, Oscillatoriales (23.5%)—which have photosynthetic ability—as well as organic matter-degrading orders such as Rhodobacterales and Flavobacteriales, became dominant. For the eukaryotic community at the phylum level, Ascomycota was predominant in all samples; however, in NL, the relative proportions of Chlorophyta (22%) and Mucoromycota (8.9%) were higher, indicating increased diversity. At the order level, Eurotiales (28.5%), Hypocreales (20.2%), and Wallemiales (14.4%) were predominant in SR, but after lettuce cultivation, Wallemiales disappeared and Eurotiales increased to 40.0%. Additionally, Glomerellales and Sordariomycetes_o were detected only in SL and NL, suggesting that symbiotic fungal activity in the rhizosphere was promoted. Full article

Diffuse correlation tomography (DCT) is an emerging technique for detecting diseases associated with localized abnormal perfusion from near-infrared light intensity temporal autocorrelation functions (g₂(τ)). However, a critical drawback of traditional reconstruction methods is the imbalance between optical measurements and the voxels to be reconstructed. To address this issue, this paper proposes Conv-TransNet, a convolutional neural network (CNN)–Transformer hybrid model that directly maps g₂(τ) data to blood flow index (BFI) images. For model training and testing, we constructed a dataset of 18,000 pairs of noise-free and noisy g₂(τ) data with their corresponding BFI images. In simulation validation, the root mean squared error (RMSE) for the five types of anomalies with noisy data are 2.13%, 4.43%, 2.15%, 4.05%, and 4.39%, respectively. The MJR (misjudgment ratio)of them are close to zero. In the phantom experiments, the CONTRAST of the quasi-solid cross-shaped anomaly reached 0.59, with an MJR of 2.21%. Compared with the traditional Nth-order linearization (NL) algorithm, the average CONTRAST of the speed-varied liquid tubular anomaly increased by 0.55. These metrics also demonstrate the superior performance of our method over traditional CNN-based approaches. The experimental results indicate that the Conv-TransNet model would achieve more accurate and robust reconstruction, suggesting its potential as an alternative for blood flow imaging. Full article

Background: The NeoChord procedure is a trans-ventricular, echo-guided, beating-heart mitral valve (MV) repair technique used to treat degenerative mitral regurgitation (MR) caused by leaflet prolapse and/or flail. Objectives: This study aimed to develop a machine learning (ML) scoring system using pre-procedural clinical and echocardiographic variables to predict the success of the NeoChord procedure—defined as less than moderate MR at follow-up. Methods: A total of 80 patients were included. Preoperative MV anatomical parameters were assessed using three-dimensional (3D) transesophageal echocardiography and analyzed with dedicated post-processing software (QLAB software, version 15.0, Philips Healthcare, Amstelveen, NL, The Netherlands). Two supervised ML models (random forest and decision tree) were trained on the dataset, with hyperparameters optimized via 10-fold cross-validation. The random forest model also provided a variable importance ranking using a filter-based method. Key predictors identified by the models included age, flail gap, early systolic mitral valve area, and indexed left atrial volume. Results: The mean and median cross-validated area under the curve of the ML models were 0.79 and 0.83 for the random forest model and 0.72 and 0.77 for the decision tree model, respectively. Conclusions: A machine learning approach integrating clinical and 3D echocardiographic parameters can effectively predict mid-term procedural success of the NeoChord technique. This method may support future preoperative patient selection, pending validation in larger cohorts. Full article

This study aimed to determine the practical efficacy of passive eDNA samplers (PEDS) for monitoring fish diversity in riverine ecosystems. It investigated the utility of environmental DNA (eDNA) in accurately depicting fish composition and diversity within the Lancang River. Environmental DNA technology, particularly PEDS, may be used as a substitute for traditional water filtration techniques. However, its effectiveness in natural water ecosystems remains to be proven. The filter materials included mixed cellulose acetate and nitrate (MCE), nylon (NL), glass fiber (GF), and polyvinyl chloride filter membrane (PVC). This study used four different types of filters, each with identical pore sizes and dimensions but constructed from various materials, to assess eDNA capture under laboratory and field conditions in the water samples. The filter materials included mixed cellulose acetate and nitrate (MCE), nylon (NL), glass fiber (GF), and polyvinyl chloride filter membrane (PVC). Environmental DNA macrobarcoding was used to analyze fish biodiversity and to understand the environmental effects on species distribution. Our study identified 50 fish species inhabiting the Lancang River, with equal representation of exotic and native species. A comparative analysis of four filter-based environmental DNA samplers and traditional environmental DNA sampling methods demonstrated comparable species richness. Redundancy analysis indicated that environmental variables, elevation, electrical conductivity, salinity, and chlorophyll-a significantly influenced the distribution patterns of both non-native and native fish species in the river. This study highlights the significance of eDNA technology in evaluating fish diversity across diverse habitats, thereby establishing a theoretical framework for the sustained monitoring and management of fish biodiversity in protected areas. Full article