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Authors = Hua Pei

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5 pages, 572 KiB  
Proceeding Paper
Optimization and Analysis of Dynamic Production System Simulation Using Value Stream Mapping and Processing Time Prediction
by Meng-Hua Li, Yu-Tzu Lai and Pei-Ying Li
Eng. Proc. 2025, 98(1), 44; https://doi.org/10.3390/engproc2025098044 - 31 Jul 2025
Viewed by 128
Abstract
We developed an optimization method with value stream mapping (VSM), dynamic system simulation, and processing time prediction. First, VSM was used to quantitatively analyze the production process, identify value-added and non-value-added activities, and build a mathematical model to describe the flow of resources [...] Read more.
We developed an optimization method with value stream mapping (VSM), dynamic system simulation, and processing time prediction. First, VSM was used to quantitatively analyze the production process, identify value-added and non-value-added activities, and build a mathematical model to describe the flow of resources and waste at various stages. Then, a discrete event simulation (DES) was applied to simulate changes in the production process under different improvement conditions and to assess the effect of improved production efficiency using stochastic event modeling. As a result, we identified potential bottlenecks based on the flow of resources and waste sources throughout the production process and proposed improvement solutions for higher efficiency based on production simulations by predicting processing times for stability of production plans. Full article
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16 pages, 3327 KiB  
Article
Development and Evaluation of Selenium-Enriched Compound Fertilizers for Remediation of Mercury-Contaminated Agricultural Soil
by Yuxin Li, Guangpeng Pei, Yanda Zhang, Shuyun Guan, Yingzhong Lv, Zhuo Li and Hua Li
Agronomy 2025, 15(8), 1842; https://doi.org/10.3390/agronomy15081842 - 30 Jul 2025
Viewed by 324
Abstract
Agricultural soil contaminated with mercury (Hg) poses a serious threat to ecosystems and human health. Although adding an appropriate amount of selenium (Se) can reduce the toxicity and mobility of Hg in soil, Se alone is prone to leaching into groundwater through soil [...] Read more.
Agricultural soil contaminated with mercury (Hg) poses a serious threat to ecosystems and human health. Although adding an appropriate amount of selenium (Se) can reduce the toxicity and mobility of Hg in soil, Se alone is prone to leaching into groundwater through soil runoff. Therefore, Se-enriched compound fertilizers were developed, and their remediation effect on Hg-contaminated agricultural soil was determined. The Se-enriched compound fertilizers were prepared by combining an organic fertilizer (vinegar residue, biochar, and potassium humate), inorganic fertilizer (urea, KH2PO4, ZnSO4, and Na2SeO3), and a binder (attapulgite and bentonite). A material proportioning experiment showed that the optimal granulation rate, organic matter content, and compressive strength were achieved when using 15% attapulgite (Formulation 1) and 10% bentonite (Formulation 2). An analysis of Se-enriched compound fertilizer particles showed that the two Se-enriched compound fertilizers complied with the standard for organic–inorganic compound fertilizers (China GB 18877-2002). Compared with the control, Formulation 1 and Formulation 2 significantly reduced the Hg content in bulk and rhizosphere soil following diethylenetriaminepentaacetic acid (DTPA) extraction by 40.1–47.3% and 53.8–56.0%, respectively. They also significantly reduced the Hg content in maize seedling roots and shoots by 26.4–29.0% and 57.3–58.7%, respectively, effectively limiting Hg uptake, transport, and enrichment. Under the Formulation 1 and Formulation 2 treatments, the total and DTPA-extractable Se contents in soil and maize seedlings were significantly increased. This study demonstrated that Se-enriched compound fertilizer effectively remediates Hg-contaminated agricultural soil and can promote the uptake of Se by maize. The results of this study are expected to positively contribute to the sustainable development of the agro-ecological environment. Full article
(This article belongs to the Section Innovative Cropping Systems)
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14 pages, 1482 KiB  
Article
The Physiological Mechanism of Arbuscular Mycorrhizal in Regulating the Growth of Trifoliate Orange (Poncirus trifoliata L. Raf.) Under Low-Temperature Stress
by Changlin Li, Xian Pei, Qiaofeng Yang, Fuyuan Su, Chuanwu Yao, Hua Zhang, Zaihu Pang, Zhonghua Yao, Dejian Zhang and Yan Wang
Horticulturae 2025, 11(7), 850; https://doi.org/10.3390/horticulturae11070850 - 18 Jul 2025
Viewed by 309
Abstract
In recent years, low temperature has seriously threatened the citrus industry. Arbuscular mycorrhizal fungi (AMF) can enhance the absorption of nutrients and water and tolerance to abiotic stresses. In this study, pot experiments were conducted to study the effects of low-temperature stress on [...] Read more.
In recent years, low temperature has seriously threatened the citrus industry. Arbuscular mycorrhizal fungi (AMF) can enhance the absorption of nutrients and water and tolerance to abiotic stresses. In this study, pot experiments were conducted to study the effects of low-temperature stress on citrus (trifoliate orange, Poncirus trifoliata L. Raf.) with AMF (Diversispora epigaea D.e). The results showed that AMF inoculation significantly increased plant growth, chlorophyll fluorescence, and photosynthetic parameters. Compared with 25 °C, −5 °C significantly increased the relative conductance rate and the contents of malondialdehyde, hydrogen peroxide, soluble sugar soluble protein, and proline, and also enhanced the activities of catalase and superoxide dismutase, but dramatically reduced photosynthetic parameters. Compared with the non-AMF group, AMF significantly increased the maximum light quantum efficiency and steady-state light quantum efficiency at 25 °C (by 16.67% and 61.54%), and increased the same parameters by 71.43% and 140% at −5 °C. AMF also significantly increased the leaf net photosynthetic rate and transpiration rate at 25 °C (by 54.76% and 29.23%), and increased the same parameters by 72.97% and 26.67% at −5 °C. Compared with the non-AMF treatment, the AMF treatment significantly reduced malondialdehyde and hydrogen peroxide content at 25 °C (by 46.55% and 41.29%), and reduced them by 28.21% and 29.29% at −5 °C. In addition, AMF significantly increased the contents of soluble sugar, soluble protein, and proline at 25 °C (by 15.22%, 34.38%, and 11.38%), but these increased by only 9.64%, 0.47%, and 6.09% at −5 °C. Furthermore, AMF increased the activities of superoxide dismutase and catalase at 25 °C (by 13.33% and 13.72%), but these increased by only 5.51% and 13.46% at −5 °C. In conclusion, AMF can promote the growth of the aboveground and underground parts of trifoliate orange seedlings and enhance their resistance to low temperature via photosynthesis, osmoregulatory substances, and their antioxidant system. Full article
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12 pages, 3321 KiB  
Article
Comparing Single and Dual Plating in Displaced Scapular Body Fractures: A Retrospective Study of Clinical and Functional Outcomes
by Hsin-Hsin Lee, Hao-Chun Chuang, Wei-Chin Lin, Jou-Hua Wang, Ming-Hsien Hu, Pei-Yuan Lee, Hong-Lin Su and Chang-Han Chuang
J. Clin. Med. 2025, 14(13), 4740; https://doi.org/10.3390/jcm14134740 - 4 Jul 2025
Viewed by 931
Abstract
Background: Scapular body fractures, when significantly displaced or malunited, can cause glenohumeral discomfort and functional disability. This study compares single- and dual-plating techniques in terms of pain, function, and active range of motion (aROM) in patients with scapular body fractures. Methods: Twenty-eight patients [...] Read more.
Background: Scapular body fractures, when significantly displaced or malunited, can cause glenohumeral discomfort and functional disability. This study compares single- and dual-plating techniques in terms of pain, function, and active range of motion (aROM) in patients with scapular body fractures. Methods: Twenty-eight patients with scapular fractures were retrospectively analyzed, with sixteen undergoing single plating treatment and twelve dual plating treatment. The mean age was 44.9 years, and the mean follow-up was 14 months for single plating and 13.8 months for dual plating. Outcomes included Disabilities of the Arm, Shoulder and Hand (DASH) scores, the Visual Analog Scale (VAS) for pain, aROM measurements, and the time to return to work. Functional outcomes were assessed using two-way ANOVA with Šidák’s multiple comparisons test at 2 weeks, 4 weeks, 3 months, 6 months, and 1 year. The time to return to work was analyzed with survival analysis and a log-rank test. Results: The single plating group had higher DASH scores than the dual plating group at 2 weeks (44.88 ± 10.81 vs. 32.75 ± 6.05, p = 0.005), 4 weeks (28.50 ± 5.91 vs. 22.83 ± 4.24, p = 0.033), and 3 months (19.63 ± 2.45 vs. 16.00 ± 2.45, p = 0.004), indicating greater disability. VAS scores were also higher in the single plating group at 2 weeks (4.00 ± 1.21 vs. 2.33 ± 0.88, p = 0.002) and 4 weeks (2.50 ± 1.03 vs. 1.17 ± 0.94, p = 0.008), suggesting faster pain relief in the dual plating group. However, differences were no longer significant after 3 months. At 1 year, the dual plating group demonstrated better external rotation (73 ± 3° vs. 63 ± 5°, p = 0.032), with no significant differences in internal rotation, abduction, or forward flexion. Dual plating patients returned to work earlier (Hazard Ratio = 3.346, 95% CI: 1.208 to 9.269, p = 0.020). Conclusions: In the current cohort, dual plating for scapular fractures offers superior early pain relief and functional outcomes compared to single plating, along with better external rotation at 1 year and an earlier return to work. These findings suggest that dual plating may facilitate faster recovery and enhanced active range of motion in selected patients, a hypothesis that warrants further investigation through future randomized trials. Full article
(This article belongs to the Special Issue Trends and Prospects in Shoulder and Elbow Surgery)
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12 pages, 2939 KiB  
Article
A SERS Sensor Prepared via Electrostatic Self-Assembly of Ta4C3@AgNP Nanocomposites for Detection of Ziram
by Kai Hua, Liang Li and Pei Liang
Biosensors 2025, 15(7), 426; https://doi.org/10.3390/bios15070426 - 3 Jul 2025
Viewed by 346
Abstract
MXenes are a class of two-dimensional materials exhibiting excellent surface-enhanced Raman scattering (SERS) performance. Currently, the SERS studies of MXenes have been primarily focused on those with M2X and M3X2 structural motifs. In order to expand the SERS [...] Read more.
MXenes are a class of two-dimensional materials exhibiting excellent surface-enhanced Raman scattering (SERS) performance. Currently, the SERS studies of MXenes have been primarily focused on those with M2X and M3X2 structural motifs. In order to expand the SERS sensing application based on MXenes, in this paper, a SERS sensor made of Ta4C3@AgNP nanocomposite material was fabricated by electrostatic self-assembly. Tests such as different concentrations of R6G probe molecules showed that the minimum detection limit of this SERS sensor was 10−8 M, demonstrating excellent sensitivity. When different test areas are selected, the relative error of intensity under the same wave number is less than 10.7%, showing good repeatability and consistency. Furthermore, the Ta4C3@AgNP nanocomposite SERS sensor was used to detect the pesticide Ziram, and a quantitative model was established. Application detection indicates that this sensor has good sensitivity for the pesticide Ziram, and the minimum detection limit was 10−6 M, which exceeded national standard requirements. The findings of this study have potential application value in the fields of food safety and environmental protection. Full article
(This article belongs to the Special Issue Surface-Enhanced Raman Scattering in Biosensing Applications)
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21 pages, 13994 KiB  
Article
Fine Structure and Optical Features of the Compound Eyes of Adult Female Ceratosolen gravelyi (Hymenoptera: Agaonidae)
by Hua Xie, Yan Shi, Shouxian Zhang, Yonghui Zhu, Subo Shao, Yuan Zhang, Pei Yang and Zongbo Li
Insects 2025, 16(7), 682; https://doi.org/10.3390/insects16070682 - 30 Jun 2025
Viewed by 701
Abstract
Pollinating fig wasps (Agaonidae) engage in an obligate mutualism with Ficus species, which is mediated by host-specific chemical cues. However, the role of visual perception in host recognition remains poorly understood, particularly because of a lack of structural studies of their compound eyes. [...] Read more.
Pollinating fig wasps (Agaonidae) engage in an obligate mutualism with Ficus species, which is mediated by host-specific chemical cues. However, the role of visual perception in host recognition remains poorly understood, particularly because of a lack of structural studies of their compound eyes. We investigated the ocular morphology of female Ceratosolen gravelyi (exclusive pollinator of F. semicordata) using scanning/transmission electron microscopy. The oval apposition eyes contain 228–263 ommatidia, which are asymmetrically distributed between the left and right eyes. Each ommatidium comprises a biconvex corneal lens overlying a tetrapartite eucone crystalline cone; proximal cone cells reveal an interlaced labyrinth. Pigment cells encapsulate each ommatidium, and numerous pigment granules and mitochondria are present in both pigment and retinular cells. Nine retinular cells comprise a unit, with eight photoreceptors (R1–R8) forming the rhabdom from the cone base to the basal matrix; a ninth cell replaces R8 in the apical third of the rhabdom. Optical metrics, including F-number (1.1°), acceptance angle (10.0°), and ommatidial sensitivity (0.26 µm2/sr), indicate diurnal activity in bright environments. These adaptations suggest that their eyes are critical for processing visual cues during host interactions, which advances our understanding of multimodal sensory integration in fig–wasp mutualism. Full article
(This article belongs to the Section Insect Physiology, Reproduction and Development)
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10 pages, 295 KiB  
Article
Effect of Oseltamivir Use on Follow-Up Stroke Mortality
by Pei-Hua Chuang, Bor-Show Tzang, Chih-Chen Tzang, I-Ying Kuo, Chun-Yu Lin and Tsai-Ching Hsu
Pharmaceuticals 2025, 18(6), 796; https://doi.org/10.3390/ph18060796 - 26 May 2025
Viewed by 484
Abstract
Background/Objectives: Evidence has indicated an increased risk of stroke in individuals with influenza infection, and the administration of Oseltamivir revealed a lower stroke risk in these individuals. However, the impacts of Oseltamivir and stroke remain limited. Methods: The data used in [...] Read more.
Background/Objectives: Evidence has indicated an increased risk of stroke in individuals with influenza infection, and the administration of Oseltamivir revealed a lower stroke risk in these individuals. However, the impacts of Oseltamivir and stroke remain limited. Methods: The data used in this retrospective cohort study were extracted from the Taiwan National Health Insurance Research Database (NHIRD), which included 281,420 Oseltamivir users and 13,394,652 patients between 1 January 2009 and 31 December 2018. The Oseltamivir group was younger (age 40.1 ± 15.3 years) and had a lower prevalence of comorbidities compared to the non-user group (age 46.2 ± 16.0 years). Stroke incidence and mortality were compared using multivariable Cox proportional hazards models. Results: We compared the incidence of ischemic stroke among individuals without a history of ischemic stroke, stratified by Oseltamivir use. After adjusting for age, sex, and comorbidities, Oseltamivir use was not associated with a significantly different risk of stroke (adjusted HR = 1.02, 95% CI: 0.96–1.08; p = 0.511). The mortality among individuals with a history of ischemic stroke, being Oseltamivir users (n = 2502), exhibited a lower cumulative mortality rate compared to non-users (4.08% vs. 6.45%). The association remained significant after multivariable adjustment, with an adjusted hazard ratio for mortality of 0.74 (95% CI: 0.61–0.89; p = 0.002). Conclusions: In this large population-based cohort of patients without a history of ischemic stroke, Oseltamivir use during influenza infection was not associated with stroke incidence after adjusting for age, sex, and comorbidities. Notably, Oseltamivir use in patients with a history of ischemic stroke was associated with reduced all-cause mortality, suggesting a potential survival benefit that warrants further investigation. Full article
(This article belongs to the Section Pharmacology)
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11 pages, 1911 KiB  
Article
Methodological Study on Determination of Recombinant Adeno-Associated Virus Particle Titer Through Size Exclusion Chromatography with Multiangle Light Scattering and Collaborative Calibration of Standard Substances
by Dening Pei, Xiang Li, Hua Bi, Wenhong Fan, Heng Wang, Manli Cui, Xi Qin and Chenggang Liang
Molecules 2025, 30(10), 2170; https://doi.org/10.3390/molecules30102170 - 15 May 2025
Viewed by 424
Abstract
Adeno-associated virus (AAV) is a promising gene therapy vector due to its high transduction efficiency, low pathogenicity, low immunogenicity, and the ability to mediate the long-term stable expression of exogenous genes. The viral particle titer is an essential quality attribute of recombinant adeno-associated [...] Read more.
Adeno-associated virus (AAV) is a promising gene therapy vector due to its high transduction efficiency, low pathogenicity, low immunogenicity, and the ability to mediate the long-term stable expression of exogenous genes. The viral particle titer is an essential quality attribute of recombinant adeno-associated virus (rAAV) gene therapy products. Multiangle light scattering (MALS) is an important means of directly measuring the absolute molecular weight and distribution of macromolecular drugs. This study established and validated a method based on SEC-UV-MALS-RI tandem technology for accurately determining rAAV particle titers. The verification results indicated that the method exhibited good specificity, linearity, precision, accuracy, and durability. Several collaborative laboratories used this method to calibrate the standard substances needed for rAAV particle titer determination. The results suggested that combining the SEC-MALS method with standard substances enables the rapid and accurate measurement of the viral particle titers in rAAV gene therapy products. Full article
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15 pages, 2366 KiB  
Article
Evaluating Degenerative Lumbar Disease with Markerless 3D Motion Capture: Reliability and Validity in Sit-to-Stand Test
by Yi-Ting Huang, Szu-Hua Chen, Chao-Ying Chen, Shiu-Min Wang, Pei-Yuan Wu, Dar-Ming Lai and Wei-Li Hsu
Sensors 2025, 25(10), 3122; https://doi.org/10.3390/s25103122 - 15 May 2025
Viewed by 693
Abstract
Background: Degenerative lumbar disease (DLD) affects older adults, causing lumbar degeneration and lower extremity dysfunction. The five-times sit-to-stand test (5xSTS) reveals kinematic changes associated with DLD. While marker-based motion capture systems detect these changes, their complexity limits clinical use. Markerless motion capture offers [...] Read more.
Background: Degenerative lumbar disease (DLD) affects older adults, causing lumbar degeneration and lower extremity dysfunction. The five-times sit-to-stand test (5xSTS) reveals kinematic changes associated with DLD. While marker-based motion capture systems detect these changes, their complexity limits clinical use. Markerless motion capture offers a portable alternative, yet its functional assessment applications in DLD remain underexplored. Thus, the aim of this study is to evaluate the reliability and validity of markerless motion capture for assessing functional tests in DLD patients. Methods: This study included 11 healthy individuals (mean age: 27.28 ± 6.92 years) and 10 with DLD (mean age: 70.00 ± 8.08 years). Participants performed the 5xSTS while being recorded by marker-based (VICON) and markerless (MediaPipe) systems using two synchronized cameras. Test–retest reliability was assessed over one week via the intraclass correlation coefficient (ICC). Concurrent validity and agreement between VICON and MediaPipe were evaluated via Pearson/Spearman correlation coefficients, systematic bias, and the root mean square error (RMSE). Movement time, joint excursions, and angular velocities were also analyzed and compared across two groups. Results: Both systems showed high test–retest reliability (ICC: 0.81–0.99) and strong correlations (r: 0.75–0.99). The highest RMSE was observed at the ankle in the anterior–posterior (A–P) direction in the DLD group (54.55 mm) and at the hip A–P axis in the control group (51.20 mm). The lowest RMSE was found at the knee medial–lateral (M–L) axis in the DLD group (7.88 mm) and at the ankle M–L axis in the control group (8.54 mm). Bias values ranged from 0.30 mm (hip vertical in control group) to +53.47 mm (ankle A–P in DLD group), with underestimation more common at the hip and overestimation at the ankle. The control group demonstrated a faster 5xSTS completion time (5.89 ± 0.69 s vs. 8.13 ± 1.96 s, p < 0.05), greater hip joint excursions during sit-to-stand (65.07 ± 25.94° vs. 38.13 ± 9.84°, p < 0.05) and stand-to-sit (62.56 ± 24.74° vs. 27.85 ± 11.45°, p < 0.05) tests, and higher angular velocities compared to the DLD group. Conclusion: MediaPipe markerless motion capture can quantify 3D kinematic changes in DLD patients during functional performance. It enables a clinical evaluation with minimal setup, offers potential for remote assessment, and accurately detects sagittal plane movement. The two-camera system provides 3D kinematic data comparable to multi-camera systems, suitable for home rehabilitation and assessment. Full article
(This article belongs to the Section Biomedical Sensors)
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12 pages, 3961 KiB  
Article
Enhanced Mechanical Properties of Lightweight Ti65(AlCrNbV)35 Medium-Entropy Alloys via Microstructure Modification Through Minor B Doping
by Po-Sung Chen, Bao-Teng Kuo, Pei-Hua Tsai, Jason Shian-Ching Jang, Chih-Yen Chen and I-Yu Tsao
Materials 2025, 18(10), 2219; https://doi.org/10.3390/ma18102219 - 11 May 2025
Viewed by 422
Abstract
Because of their low density and excellent material properties, lightweight Ti-rich medium-entropy alloys (MEAs) have great potential for application in the aerospace and automotive industries. This study investigated the effects of B doping on the microstructure and mechanical properties of a (Ti65 [...] Read more.
Because of their low density and excellent material properties, lightweight Ti-rich medium-entropy alloys (MEAs) have great potential for application in the aerospace and automotive industries. This study investigated the effects of B doping on the microstructure and mechanical properties of a (Ti65(AlCrNbV)35)100−xBx alloy series. The mechanical properties of the alloys were then enhanced through thermomechanical treatment, and the strengthening mechanism was explored by characterizing the alloys’ microstructure and mechanical properties. X-ray diffraction revealed that the (Ti65(AlCrNbV)35)100−xBx alloys retained their body-centered cubic structure. However, the addition of B resulted in a rightward shift in the diffraction peaks due to B having a smaller atomic radius compared with the other constituent elements. Weak diffraction peaks corresponding to TiB were discovered in the diffraction patterns for the alloys with 0.4 or 0.6% B content (named B0.4 and B0.6, respectively). The hardness of the homogenized alloys was increased from 321 Hv for the base alloy (B0) to 378 Hv for B0.6. In tensile testing, the homogenized alloy with 0.2% B content (B0.2) exhibited a yield strength of 1054 MPa and 21% elongation, which represented 17% greater strength compared with B0. Conversely, the mechanical properties of B0.4 and B0.6 were poorer due to precipitation at grain boundaries. After thermomechanical treatment, the alloys’ strength and hardness increased with increasing B content despite various heat treatment conditions. The recrystallization behavior of the alloys tended to be delayed by B doping, resulting in an increase in the recrystallization temperature. After recrystallization at 900 °C, the elongation of B0, B0.1, and B0.2 exceeded 20%. Of the (Ti65(AlCrNbV)35)100−xBx alloys in the series, B0.2 presents the optimal combination of favorable yield strength and ductility (1275 MPa and 10%, respectively). Full article
(This article belongs to the Section Metals and Alloys)
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19 pages, 6091 KiB  
Article
Foaming of Bio-Based PLA/PBS/PBAT Ternary Blends with Added Nanohydroxyapatite Using Supercritical CO2: Effect of Operating Strategies on Cell Structure
by Pei-Hua Chen, Chin-Wen Chen, Tzu-Hsien Chan, Hsin-Ying Lin, Ke-Ling Tuan, Chie-Shaan Su, Jung-Chin Tsai and Feng-Huei Lin
Molecules 2025, 30(9), 2056; https://doi.org/10.3390/molecules30092056 - 5 May 2025
Viewed by 673
Abstract
This study explored the innovative foaming behavior of a novel biodegradable polymer blend consisting of polylactic acid/poly(butylene succinate)/poly(butylene adipate-co-terephthalate) (PLA/PBS/PBAT) enhanced with nanohydroxyapatite (nHA), using supercritical carbon dioxide (SCCO2) as an environmentally friendly physical foaming agent. The aim was to investigate [...] Read more.
This study explored the innovative foaming behavior of a novel biodegradable polymer blend consisting of polylactic acid/poly(butylene succinate)/poly(butylene adipate-co-terephthalate) (PLA/PBS/PBAT) enhanced with nanohydroxyapatite (nHA), using supercritical carbon dioxide (SCCO2) as an environmentally friendly physical foaming agent. The aim was to investigate the effects of various foaming strategies on the resulting cell structure, aiming for potential applications in tissue engineering. Eight foaming strategies were examined, starting with a basic saturation process at high temperature and pressure, followed by rapid decompression to ambient conditions, referred to as the (1T-1P) strategy. Intermediate temperature and pressure variations were introduced before the final decompression to evaluate the impact of operating parameters further. These strategies included intermediate-temperature cooling (2T-1P), intermediate-temperature cooling with rapid intermediate decompression (2T-2P), and intermediate-temperature cooling with gradual intermediate decompression (2T-2P, stepwise ΔP). SEM imaging revealed that the (2T-2P, stepwise ΔP) strategy produced a bimodal cell structure featuring small cells ranging from 105 to 164 μm and large cells between 476 and 889 μm. This study demonstrated that cell size was influenced by the regulation of intermediate pressure reduction and the change in intermediate temperature. The results were interpreted based on classical nucleation theory, the gas solubility principle, and the effect of polymer melt strength. Foaming results of average cell size, cell density, expansion ratio, porosity, and opening cell content are reported. The hydrophilicity of various foamed polymer blends was evaluated by measuring the water contact angle. Typical compressive stress–strain curves obtained using DMA showed a consistent trend reflecting the effect of foam stiffness. Full article
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20 pages, 4006 KiB  
Article
EM-DeepSD: A Deep Neural Network Model Based on Cell-Free DNA End-Motif Signal Decomposition for Cancer Diagnosis
by Zhi-Yang Zhao, Chang-Ling Huang, Tong-Min Wang, Shi-Hao Zhou, Lu Pei, Wen-Hui Jia and Wei-Hua Jia
Diagnostics 2025, 15(9), 1156; https://doi.org/10.3390/diagnostics15091156 - 1 May 2025
Viewed by 916
Abstract
Background and Objectives: The accurate discrimination between patients with and without cancer using their cell-free DNA (cfDNA) is crucial for early cancer diagnosis. The end-motifs of cfDNA serve as significant cancer biomarkers, offering compelling prospects for cancer diagnosis. This study proposes EM-DeepSD, a [...] Read more.
Background and Objectives: The accurate discrimination between patients with and without cancer using their cell-free DNA (cfDNA) is crucial for early cancer diagnosis. The end-motifs of cfDNA serve as significant cancer biomarkers, offering compelling prospects for cancer diagnosis. This study proposes EM-DeepSD, a signal decomposition deep learning framework based on cfDNA end-motifs, which is aimed at improving the accuracy of cancer diagnosis and adapting to different sequencing modalities. Materials and Methods: This study included 146 patients diagnosed with cancer and 122 non-cancer controls. EM-DeepSD comprises three core modules. Initially, it utilizes a signal decomposition module to decompose and reconstruct the input end-motif profiles, thereby generating multiple regular subsequences that optimize the subsequent modeling process. Subsequently, both a machine learning module and a deep learning module are employed to improve the accuracy of cancer diagnosis. Furthermore, this paper compares the performance of EM-DeepSD with that of existing benchmarked methods to demonstrate its superiority. Based on the EM-DeepSD framework, we developed the EM-DeepSSA model and compared it with two benchmarked methods across different cfDNA sequencing datasets. Results: In the internal validation set, EM-DeepSSA outperformed the two benchmark methods for cancer diagnosis (area under the curve (AUC), 0.920; adjusted p value < 0.05). Meanwhile, EM-DeepSSA also exhibited the best performance on two independent external testing sets that were subjected to 5-hydroxymethylcytosine sequencing (5hmCS) and broad-range cell-free DNA sequencing (BR-cfDNA-Seq), respectively (test set-1: AUC = 0.933; test set-2: AUC = 0.956; adjusted p value < 0.05). Conclusions: In summary, we present a new framework which can achieve high classification performance in cancer diagnosis and which is applicable to different sequencing modalities. Full article
(This article belongs to the Special Issue Deep Learning in Biomedical Signal Analysis)
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22 pages, 3878 KiB  
Article
Deep Fertilization Is More Beneficial than Enhanced Efficiency Fertilizer on Crop Productivity and Environmental Cost: Evidence from a Global Meta-Analysis
by Qi Wu, Hua Huang, Qinhe Wang, Zeyu Liu, Runzhuo Pei, Guosheng Wen, Jinghui Feng, Hao Wang, Peng Zhang, Zhiqiang Gao, Chuangyun Wang and Peng Wu
Agronomy 2025, 15(5), 1103; https://doi.org/10.3390/agronomy15051103 - 30 Apr 2025
Viewed by 514
Abstract
It is unclear whether enhanced efficiency fertilizer (EEF) or deep fertilization strategies (DF) can simultaneously improve crop productivity and reduce gaseous nitrogen losses. The DF strategy’s investment cost is lower than that of EEF’s, with more potential for large-scale promotion. However, there is [...] Read more.
It is unclear whether enhanced efficiency fertilizer (EEF) or deep fertilization strategies (DF) can simultaneously improve crop productivity and reduce gaseous nitrogen losses. The DF strategy’s investment cost is lower than that of EEF’s, with more potential for large-scale promotion. However, there is still a need for a comprehensive comparison and evaluation of DF and EEF’s effects on crop productivity and gaseous nitrogen losses. Here, we examine the effects of DF and EEF on crop yield, nitrogen use efficiency (NUE), and nitrous oxide (N2O) and ammonia (NH3) emissions by a meta-analysis of published studies. We collected peer-reviewed articles on EEF and DF published in recent decades and conducted a global meta-analysis, and explored their responses to different climatic, field management practices, and environmental factors. The results showed that compared with urea application on the surface, EEF and DF significantly increased yields by 7.52% and 13.88% and NUE by 25.84% and 36.27% and reduced N2O emissions by 37.98% and 34.18% and NH3 emissions by 42.37% and 69.68%, respectively. The DF strategy is superior to that of the EEF. Due to differences in climatic factors, soil properties, and management practices, the effects of DF and EEF in improving crop productivity and gaseous nitrogen loss vary. However, in most cases, DF is more beneficial than EEF. Compared with EEF, DF significantly increased the yield by 84.63% and reduced NH3 volatilization by 64.47%, yield-scaled N2O emission by 13.32%, and yield-scaled NH3 emission by 60.23%. Therefore, we emphasize that DF can achieve higher yields, nitrogen fertilizer utilization efficiency, lower emissions of gaseous nitrogen, and lower yield-scaled N2O and NH3 emissions than EEF, which is beneficial for the sustainable development of global agricultural ecosystems. The research results provide valuable information on crop productivity and environmental costs under an effective fertilizer type and fertilization strategy management. Full article
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21 pages, 762 KiB  
Review
Beyond Adaptive Immunity: Trained Innate Immune Responses as a Novel Frontier in Hepatocellular Carcinoma Therapy
by Ching-Hua Hsieh, Pei-Chin Chuang and Yueh-Wei Liu
Cancers 2025, 17(7), 1250; https://doi.org/10.3390/cancers17071250 - 7 Apr 2025
Viewed by 1369
Abstract
Hepatocellular carcinoma (HCC) is a leading cause of cancer death globally, with the majority of cases detected at advanced stages when curative options are limited. Current systemic therapies, including immune checkpoint inhibitors, demonstrate limited efficacy with durable responses in only 15–20% of patients. [...] Read more.
Hepatocellular carcinoma (HCC) is a leading cause of cancer death globally, with the majority of cases detected at advanced stages when curative options are limited. Current systemic therapies, including immune checkpoint inhibitors, demonstrate limited efficacy with durable responses in only 15–20% of patients. This poor response is largely attributed to HCC’s immunosuppressive microenvironment, which blunts effective T-cell responses. By illustrating that innate immune cells can acquire memory-like characteristics through a process known as trained immunity, recent evidence has challenged the conventional belief that innate immunity is devoid of memory. This review investigates the potential of trained immunity, which is defined by the long-term functional reprogramming of innate immune cells through epigenetic, transcriptomic, and metabolic changes, to provide new therapeutic opportunities for HCC. We discuss mechanisms by which trained immunity can transform the HCC microenvironment, including enhanced inflammatory cytokine production, repolarization of tumor-associated macrophages toward anti-tumor phenotypes, increased immune cell infiltration, and improved bridging to adaptive immunity. We further evaluate emerging therapeutic strategies leveraging trained immunity principles, including BCG vaccination, β-glucan administration, cytokine-trained NK cell therapy, and innovative combination approaches. Finally, we address potential resistance mechanisms and future directions for clinical application. By integrating trained immunity into conventional immunotherapeutic regimens, we may significantly improve outcomes for HCC patients, potentially transforming advanced disease into a more manageable condition. Full article
(This article belongs to the Section Cancer Immunology and Immunotherapy)
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16 pages, 4331 KiB  
Article
Combination of Large Language Models and Portable Flood Sensors for Community Flood Response: A Preliminary Study
by Tsung-Hua Ou, Tsun-Hua Yang and Pei-Zen Chang
Water 2025, 17(7), 1055; https://doi.org/10.3390/w17071055 - 2 Apr 2025
Viewed by 947
Abstract
The effectiveness of early warning systems can help people take action to mitigate the impact of extreme weather events once warnings are issued. The early warning systems developed by public agencies usually issue standard messages that, in many situations, may not affect all [...] Read more.
The effectiveness of early warning systems can help people take action to mitigate the impact of extreme weather events once warnings are issued. The early warning systems developed by public agencies usually issue standard messages that, in many situations, may not affect all the people who receive the messages. In the long run, this can lead to behaviors in people who may not respond to relevant warnings, resulting in inefficiency. Users demand faster and more customized information that matches their needs, such as “How does this affect me right now?” or “What can I do to mitigate the impact?” This study proposes a decentralized framework at the community level that includes custom Internet of Things (IoT) sensors for timely information monitoring and large language models (LLMs) for the generation of user-defined warning messages. The sensors have the advantages of easy installation, low cost, and affordable maintenance fees. The trained LLMs expedite information processing given specific prompts and generate customized response messages to the users. In addition, the framework is established within a serverless environment, enabling rapid deployment and scalability. This integration of IoT sensors and LLMs demonstrates how the system performs once sensors detect flooding and how LLMs can deliver real-time, efficient, and localized action-ready information in different scenarios. This combination significantly enhances the responsiveness during flood events. Full article
(This article belongs to the Special Issue Application of Machine Learning Models for Flood Forecasting)
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