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11 pages, 216 KB  
Article
Perception of Telepsychiatry in Saudi Adults with Major Depressive Disorder and Validation of the Telehealth Satisfaction Scale: A Cross-Sectional Study
by Musaab Alruhaily, Salman Althobaiti, Abdulmohsen Almutairi, Sami Al-Dubai, Ashaima’a Madkhali, Helal Alobaidi, Fahad Hameed Alharbi and Jalal Qasem Alziri
Healthcare 2025, 13(17), 2149; https://doi.org/10.3390/healthcare13172149 (registering DOI) - 28 Aug 2025
Abstract
Background: Telepsychiatry expanded rapidly during the COVID-19 pandemic, yet patient experience data from mixed urban and rural areas in Saudi Arabia remain scarce. Objective: We aimed to quantify the perception of telepsychiatry among adults with major depressive disorder [MDD] in Madinah City, the [...] Read more.
Background: Telepsychiatry expanded rapidly during the COVID-19 pandemic, yet patient experience data from mixed urban and rural areas in Saudi Arabia remain scarce. Objective: We aimed to quantify the perception of telepsychiatry among adults with major depressive disorder [MDD] in Madinah City, the KSA, and to identify associated demographic and clinical factors. Methods: A cross-sectional survey was conducted at Madinah Mental Health Hospital between December 2024 and March 2025. Eligible participants were Arabic-speaking adults [≥18 years] with a clinician-confirmed diagnosis of major depressive disorder [MDD] according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition [DSM-5], following a scheduled video- or audio-based telepsychiatry consultation. Perception of telepsychiatry was assessed using the validated 10-item Arabic version of the Telehealth Satisfaction Scale [TeSS], which evaluates audiovisual quality, communication, and support. Variables associated with perception at p < 0.20 in the bivariable analyses were entered into a multiple linear regression model to identify independent predictors. Results: Of the 218 eligible patients, 207 participated [response rate = 95%], with similarly high participation rates being reported in comparable telepsychiatry surveys [e.g., 90–91%]. The majority were male [59%], with a mean [SD] age of 38.4 [11.2] years. The mean satisfaction score was 32.3 ± 6.3, and 36% of participants were classified as highly satisfied. In the multivariable analysis, higher satisfaction was independently associated with male gender [B = 3.0, 95% CI: 1.3–4.7], intermediate versus elementary education [B = 4.3, 95% CI: 1.1–7.6], and the presence of a chronic illness [B = 2.1, 95% CI: 0.3–3.8]. Conclusions: Telepsychiatry is generally well-accepted among adults with depression in Madinah. However, women and individuals with lower educational attainment report lower satisfaction. Targeted interventions such as improving privacy, offering digital literacy support, and tailoring communication may help improve the telepsychiatry experience for underserved groups. Full article
(This article belongs to the Section TeleHealth and Digital Healthcare)
11 pages, 2138 KB  
Article
Cloning and Characterization of 12 TCP Genes in Medicinal Plant Plantago asiatica via De Novo Transcriptome Assembly
by Xingbin Lv, Ling Zhang, Yufang Hu, Tingting Jing, Qi Liang, Zhiyi Zhang, Mingkun Huang and Hua Yang
Genes 2025, 16(9), 1021; https://doi.org/10.3390/genes16091021 (registering DOI) - 28 Aug 2025
Abstract
Background: Plantago asiatica (P. asiatica) is an important Chinese traditional medicinal plant of the family Plantaginaceae and widely used in pharmaceutical industries. TCP transcription factors play an important role in plant development, but a limited number of studies on this [...] Read more.
Background: Plantago asiatica (P. asiatica) is an important Chinese traditional medicinal plant of the family Plantaginaceae and widely used in pharmaceutical industries. TCP transcription factors play an important role in plant development, but a limited number of studies on this have been reported in P. asiatica.Methods: Since genome assembly was not available, in this study, we used the de novo transcriptome assembly method to genome-wide-characterize the TCP gene family in P. asiatica. Up to 70.7 M high-quality paired-end reads were generated after sequencing and a total of 12 TCP genes were cloned by the predicted bioinformatic results, which were named PaTCP1-12. Results: Phylogenetic tree, motif analysis and subcellular localization results revealed that these PaTCPs were conserved compared to those from the model plant, Arabidopsis. Expression analysis suggested that most of the TCPs were highly expressed in both the leaf and root, while PaTCP1, PaTCP6 and PaTCP9 could also be detected in the seed. Conclusions: Since seed characteristics are one of the main agronomical traits in P. asiatica, the finding of PaTCP1, PaTCP6 and PaTCP9 expression patterns in the stem suggested an important role for further plant improvement. Full article
(This article belongs to the Special Issue Genetics and Epigenetics in Plant Development)
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22 pages, 2964 KB  
Article
DALYs-Based Health Risk Assessment and Key Influencing Factors of PM2.5-Bound Metals in Typical Pollution Areas of Northern China
by Ting Zhao, Kai Qu, Fenghua Ma, Yuhan Liang, Ziquan Wang, Jieyu Liu, Hao Liang, Min Wei, Houfeng Liu and Pingping Wang
Toxics 2025, 13(9), 722; https://doi.org/10.3390/toxics13090722 - 28 Aug 2025
Abstract
The health risks of PM2.5-bound metals highlight the need for burden assessment, metal prioritization, and key factor analysis to support effective air quality management, yet relevant studies remain limited. Shandong Province is one of the most polluted regions in northern China, [...] Read more.
The health risks of PM2.5-bound metals highlight the need for burden assessment, metal prioritization, and key factor analysis to support effective air quality management, yet relevant studies remain limited. Shandong Province is one of the most polluted regions in northern China, providing an ideal setting for this investigation. We monitored 17 PM2.5-bound metals for three years across Shandong, China and performed disease burden assessment based on disability-adjusted life years (DALYs). Furthermore, key influencing factors contributing to high-hazard metals were identified through explainable machine learning. The results showed that PM2.5-bound metal concentrations were generally higher in inland areas than in coastal regions, with Ni concentrations elevated in coastal areas. K, Ca, Zn, and Mn exhibited the highest three-year average concentrations among the metals, while Cr averaged 6.12 ng/m3, significantly exceeding the recommended annual limit of 0.025 ng/m3 set by Chinese Ambient Air Quality Standards. Jinan carried the greatest burden at 4.67 DALYs per 1000 people, followed by Zibo (3.78), Weifang (2.98), and Rizhao (2.80). CKD, interstitial pneumonia, and chronic respiratory diseases account for the highest DALYs from PM2.5-bound metals in Shandong Province. Industrial emissions are the largest contributors to the disease burden (>34%), with Cr, Cd, and Pb as the primary contributing metals requiring priority control. Fractional vegetation cover was identified as the key factor contributing to the reduction in their concentrations. These results underscore that prioritizing the regulation of industrial combustion, particularly concerning Cr, Cd, and Pb, and enhancing fractional vegetation cover could reduce disease burden and provide public health benefits. Full article
(This article belongs to the Section Air Pollution and Health)
15 pages, 234 KB  
Article
Understanding the Why: Patient, Parent, and Oncologist Perspectives on Prognostic Communication Preferences in Advanced Childhood Cancer
by Erin Batchelor, Rachel A. Kentor, Calliope Reeves, Harmony Farner, Shoshana Mehler, Caroline Christianson and Erica C. Kaye
Children 2025, 12(9), 1140; https://doi.org/10.3390/children12091140 - 28 Aug 2025
Abstract
Background/Objectives: High-quality prognostic communication in pediatric oncology is essential to support informed decision making, foster trust, and honor goals of care. While families differ in their preferences for how prognosis is discussed, clinicians often rely on assumptions rather than directly eliciting these preferences, [...] Read more.
Background/Objectives: High-quality prognostic communication in pediatric oncology is essential to support informed decision making, foster trust, and honor goals of care. While families differ in their preferences for how prognosis is discussed, clinicians often rely on assumptions rather than directly eliciting these preferences, risking misalignment and distress. To address this gap, we aimed to characterize patient, parent, and oncologist perspectives on key variables, experiences, and circumstances that influence their preferences for prognostic communication. Methods: Semi-structured interviews were conducted with 85 participants (25 patients aged 12–25, 40 parents, and 20 oncologists) to elicit their preferences for prognostic communication and the reasons behind these preferences. Rapid analysis was conducted to generate themes and identify patterns and variances across participant cohorts. Results: Four distinct themes underpinning prognostic communication preferences were described by patients, parents, and oncologists: (1) personality, ideals, and values; (2) general life experiences; (3) prior interactions with the medical system; and (4) faith. Participants emphasized that personal identity and prior experiences significantly shaped how they wished to receive prognostic information. Clinicians and parents often linked preferences to core aspects of their professional or caregiver identities. Conclusions: Understanding the individualized factors shaping communication preferences can guide clinicians in tailoring prognostic discussions. Open-ended inquiry into identity, personal values, and past experiences can foster respectful, personalized communication in pediatric oncology. Further research is needed to determine best practices for prompting discussion about prognostic communication preferences that incorporates the reasons underpinning these preferences. Full article
(This article belongs to the Section Pediatric Hematology & Oncology)
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26 pages, 26439 KB  
Article
Assessing the Impact of Agricultural Land Consolidation on Ecological Environment Quality in Arid Areas Based on an Improved Water Benefit-Based Ecological Index
by Liqiang Shen, Jiaxin Hao, Linlin Cui, Huanhuan Chen, Lei Wang, Yuejian Wang and Yongpeng Tong
Remote Sens. 2025, 17(17), 2987; https://doi.org/10.3390/rs17172987 - 28 Aug 2025
Abstract
Agricultural land consolidation (ALC) is a critical instrument for protecting the environment and expanding cropland. However, implementing different consolidation methods, scales, and technologies may have adverse effects on ecological and environmental factors. The ecological effects of ALC are evaluated in this investigation, with [...] Read more.
Agricultural land consolidation (ALC) is a critical instrument for protecting the environment and expanding cropland. However, implementing different consolidation methods, scales, and technologies may have adverse effects on ecological and environmental factors. The ecological effects of ALC are evaluated in this investigation, with the Manas River Basin in China as the research object. Initially, the research examined the changes in land use that occurred during various periods of ALC in the basin using land cover data (CLCD). Secondly, an enhanced water benefit-based ecological index (SWBEI) for arid regions was developed using the Google Earth Engine (GEE) platform. The spatiotemporal variations in ecological environment quality (EEQ) during various ALC periods were analysed. Ultimately, the effects of a variety of factors on EEQ were disclosed. The research results show that: (1) The principal land-use types in the Manas River Basin are barren land, grassland, and cropland, with substantial fluctuations in area. Cropland area is increasing, with the majority being converted from grassland and desolate land. During the initial phase of farmland consolidation, the most rapid growth was observed, with expansion occurring both inward and outward from existing cropland. (2) The SWBEI outperforms the water benefit-based ecological index (WBEI) in arid regions. (3) The EEQ of the basin and cropland typically exhibits an “increasing–decreasing–increasing trend”, with deterioration predominantly occurring during early-stage ALC and a gradual improvement in EEQ during late-stage ALC. The Gobi Desert belt at the foothills of mountains and high-altitude frigid regions exhibit a deteriorating trend in the EEQ, whereas the oasis areas in the middle reaches of the basin exhibit an improving trend. (4) The most significant explanatory power for the basin’s EEQ is attributed to climate factors, followed by topographic factors, hydrological factors, and human factors. The influence of human factors and hydrological factors on the basin’s EEQ is increasing. The primary factors that influence the EEQ of a basin are the actual evapotranspiration, temperature, and elevation. The explanatory power of these two factors for the basin’s EEQ is augmented by their interaction. In the long term, ALC helps improve the EEQ of the basin and cropland. This study provides a reference for improving ALC methods and approaches, enhancing the ecological environment of river basins, and balancing agricultural production efficiency. Full article
(This article belongs to the Section Ecological Remote Sensing)
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17 pages, 8159 KB  
Article
Bangia fusco-purpurea Vegan Sausages: Orthogonal Experimental Optimization and Gel Formation Mechanism
by Xiaoting Chen, Shiqing Zhuo, Nan Pan, Yongchang Su, Zhiyu Liu and Jingna Wu
Foods 2025, 14(17), 3014; https://doi.org/10.3390/foods14173014 - 28 Aug 2025
Abstract
To develop highly nutritious Bangia fusco-purpurea (BFP) vegan sausages, we investigated the effects of BFP, gluten, and xanthan gum–konjac gum–carrageenan complex gel (CG) on the gel strength and sensory quality of the sausages. The formulation process was optimized through single-factor and orthogonal tests, [...] Read more.
To develop highly nutritious Bangia fusco-purpurea (BFP) vegan sausages, we investigated the effects of BFP, gluten, and xanthan gum–konjac gum–carrageenan complex gel (CG) on the gel strength and sensory quality of the sausages. The formulation process was optimized through single-factor and orthogonal tests, whereas the gel formation mechanism of the key factors was explored. The orthogonal test results showed that the optimal addition levels of BFP, gluten, and CG were 5%, 56%, and 37%, respectively. Variance analysis revealed that both gluten and CG significantly affected gel strength (p < 0.05), with gluten notably influencing the overall sensory quality (p < 0.05). Texture profile analysis (TPA) and rheological properties demonstrated that as gluten (33–37%) and CG (52–56%) concentrations increased, the gel strength and elastic modulus exhibited concentration-dependent enhancement. Further analysis of the sulfhydryl content, disulfide bonds, surface hydrophobicity, and microstructure revealed that higher gluten content promoted intermolecular disulfide crosslinking and hydrophobic group exposure, whereas CG contributed to physical filling via hydrogen and ionic bonds, resulting in a uniform and dense gel network structure. The synergistic effects of gluten and CG enhanced the gel properties of BFP vegan sausages, providing a theoretical foundation for the development of high-quality plant protein-based meat alternatives. Full article
(This article belongs to the Section Food Engineering and Technology)
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18 pages, 39111 KB  
Article
Impact of Beam Shape and Frequency on Weld Seam Geometry and Penetration Depth Using a Coherent Beam Combining Laser
by Karthik Ravi Krishna Murthy, Reza Sanei, Abhay Sharma, Simon Olschok and Uwe Reisgen
Appl. Sci. 2025, 15(17), 9432; https://doi.org/10.3390/app15179432 - 28 Aug 2025
Abstract
The geometry and quality of a weld seam are critical factors in laser beam welding, influencing mechanical performance and structural integrity. Dynamically modulated laser beams provide a precise means of tailoring energy input in high-power laser welding processes. This study investigates the influence [...] Read more.
The geometry and quality of a weld seam are critical factors in laser beam welding, influencing mechanical performance and structural integrity. Dynamically modulated laser beams provide a precise means of tailoring energy input in high-power laser welding processes. This study investigates the influence of beam shape and modulated frequency on weld seam geometry, penetration depth, and capillary behaviour using a coherent beam combining (CBC) laser system from Civan Lasers. Three beam intensity distributions—single point, line–point–line (LPL), and boomerang—were applied across a modulation frequency range of 1, 10, and 100 kHz during the welding of duplex and austenitic stainless steels. High-speed imaging captured real-time capillary dynamics, and the data were analysed to assess capillary stability, measure capillary diameter, and determine the capillary front angle as a function of frequency and beam shape. Transverse cross-sections of the welds were prepared to evaluate seam geometry and microstructure. The results show that beam shape significantly affects energy distribution and weld profile, while modulation frequency critically influences capillary behaviour and penetration characteristics. These findings highlight the critical role of dynamic beam shaping and frequency modulation in optimizing laser welding processes for material-specific performance, offering a versatile platform for advancing precision manufacturing using CBC technology. Full article
(This article belongs to the Special Issue Advanced Welding Technology and Its Applications)
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19 pages, 935 KB  
Article
Effect of Nutrient Supplementation on the Biochemical Composition and Microbial Safety of Open-Pond Spirulina Cultivated in Cameroon
by Tchouli Noufeu, Tinghong Ming, Xiaoqun Zeng, Jiajie Xu, Mbezele Junior Yannick Ngaba, François Tchoumbougnang, Achille Njomoue Pandong, Salle Mpondo, Tchoulabi Keyeya and Moussa Gouife
Foods 2025, 14(17), 3009; https://doi.org/10.3390/foods14173009 - 28 Aug 2025
Abstract
Spirulina (Arthrospira platensis) is globally recognized for its high nutritional value and potential as a sustainable food source. However, the influence of targeted nutrient supplementation on its biochemical composition and microbial safety under tropical open-pond conditions remains underexplored, particularly in sub-Saharan [...] Read more.
Spirulina (Arthrospira platensis) is globally recognized for its high nutritional value and potential as a sustainable food source. However, the influence of targeted nutrient supplementation on its biochemical composition and microbial safety under tropical open-pond conditions remains underexplored, particularly in sub-Saharan Africa. This study evaluated the effects of three nutrient supplementation regimes (compositions A, B, and C) and a control on Spirulina cultivated over 30 days in raceway ponds at the Nomayos Spirulina Production Farm in Cameroon. All treatments maintained physicochemical parameters within ranges favorable for Spirulina growth. Composition A significantly enhanced protein content (60.38 ± 0.68%), while composition C promoted carbohydrate accumulation (28.02 ± 0.41%). Microbial assessments revealed variable contamination levels, with composition B exhibiting the highest Escherichia coli (1.05 ± 0.075 × 105 CFU/g) and Salmonella/Shigella (4.09 ± 1.81 × 105 CFU/g) counts, potentially due to nutrient-induced changes or post-harvest handling factors. Correlation analyses revealed a moderate positive relationship between nitrogen input and protein synthesis (r = 0.309), which was not statistically significant (p = 0.329). Additionally, higher pH was significantly correlated with total mesophilic counts (r = 0.661, p = 0.019) and E. coli (r = 0.655, p = 0.020). These findings highlight the importance of nutrient formulation and environmental management in improving nutritional quality while minimizing microbial risks during Spirulina cultivation in tropical, low-tech settings. Full article
(This article belongs to the Section Food Nutrition)
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20 pages, 3048 KB  
Article
Distribution and Source Appointment of Potentially Toxic Elements in Rivers via Self-Organizing Map and Positive Matrix Factorization (Qinghai–Tibet Plateau, China)
by Na Cai, Xueping Wang, Xiaoyang Liu and Li Deng
Water 2025, 17(17), 2547; https://doi.org/10.3390/w17172547 - 28 Aug 2025
Abstract
The fragile ecological environment of the Qinghai–Tibet Plateau (QTP) is significantly affected by human activities. This study employed a self-organizing map (SOM) for cluster analysis and positive matrix factorization (PMF) to trace the source of potentially toxic elements (PTEs) in the surface water [...] Read more.
The fragile ecological environment of the Qinghai–Tibet Plateau (QTP) is significantly affected by human activities. This study employed a self-organizing map (SOM) for cluster analysis and positive matrix factorization (PMF) to trace the source of potentially toxic elements (PTEs) in the surface water of rivers. The results revealed that the average concentration of PTEs in the rivers was generally low. However, at some sampling points, especially in areas near the Qarhan Salt Lake, the content of Cu, Hg, and Ni were high. The water quality index (WQI), contamination factor (CF), and modified contamination index (mCd) identified good water quality, while potential Ni in the Quanji and Golmud River basins were the primary contaminants of concern. The potential ecological risk index (PERI) showed a low ecological risk. The SOM yielded four clusters of water PTEs, including Hg, Cu-Ni, Pb-Cd-Zn, and As. PMF model further revealed PTE sources, with industrial sources (39.73%) as the primary anthropogenic factor, followed by natural weathering (33.44%), vehicle emissions (21.52%), and atmospheric deposition (5.31%). This study laid the foundation for the ecological monitoring of rivers on the QTP and provided a reference for balancing industrial development and ecological protection in Qarhan Salt Lake areas. Full article
(This article belongs to the Section Water and Climate Change)
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19 pages, 2414 KB  
Article
Evaluation of the Public Welfare of China’s Nature Reserves
by Bin Zhang, Linsheng Zhong and Yuxi Zeng
Sustainability 2025, 17(17), 7729; https://doi.org/10.3390/su17177729 - 27 Aug 2025
Abstract
To achieve the sustainable development of nature reserves, the public welfare associated with these areas has been assessed based on ecological supply and social demand. The Public Welfare Index comprehensively incorporates ecological factors, such as landforms, resource endowment, and ecological quality, as well [...] Read more.
To achieve the sustainable development of nature reserves, the public welfare associated with these areas has been assessed based on ecological supply and social demand. The Public Welfare Index comprehensively incorporates ecological factors, such as landforms, resource endowment, and ecological quality, as well as socio-economic factors, including travel costs, economic base, and population distribution. This index reflects both the ecological supply capacity of nature reserves and the equity with which they provide welfare to different groups. The findings indicate that the Public Welfare Index is an effective measure of the rationality of welfare distribution. Currently, the public welfare of nature reserves in China exhibits a spatial pattern of high welfare in the west and low welfare in the east. This issue of welfare inequality in nature reserves is highly pronounced. The primary objective of this research is to identify the characteristics of welfare distribution and to offer novel perspectives and strategies for optimizing the spatial layout of nature reserves and informing policy decisions. Full article
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20 pages, 2543 KB  
Article
Development of Fermentation Strategies for Quality Mild Coffee Production (Coffea arabica L.) Based on Oxygen Availability and Processing Time
by Aida Esther Peñuela-Martínez, Carol Vanessa Osorio-Giraldo, Camila Buitrago-Zuluaga and Rubén Darío Medina-Rivera
Foods 2025, 14(17), 3001; https://doi.org/10.3390/foods14173001 - 27 Aug 2025
Abstract
Fermentation is a crucial stage in the production of washed mild coffees, as it enables the generation of compounds that influence overall quality. The conditions to optimize this process are still unknown. This study evaluated the effects of fermenting coffee fruits and depulped [...] Read more.
Fermentation is a crucial stage in the production of washed mild coffees, as it enables the generation of compounds that influence overall quality. The conditions to optimize this process are still unknown. This study evaluated the effects of fermenting coffee fruits and depulped coffee under two conditions: an open tank (semi-anaerobic-SA) and a closed tank (self-induced anaerobic fermentation, SIAF) over 192 h. Samples were taken every 24 h using a sacrificial bioreactor. A randomized complete block design with a factorial arrangement (2 × 2 + 1), plus a standard control, was employed, incorporating two factors: coffee type and fermentation condition. High-throughput sequencing of 16S and ITS amplicons identified an average of 260 ± 71 and 101 ± 24 OTUs, respectively. Weisella was the dominant lactic acid bacteria, followed by Leuconostoc and Lactiplantibacillus. Acetic acid bacteria, mainly Acetobacter, were more abundant under semi-anaerobic conditions. The yeast genera most affected by the fermentation condition were Pichia, Issatchenkia, and Wickerhamomyces. Repeated measures analysis revealed significant differences in pH, glucose consumption, lactic acid production, dry matter content, embryo viability, and the percentage of healthy beans. Principal component analysis was used to develop an index that integrates physical, physiological, and sensory quality variables, thereby clarifying the impact of each treatment. Samples from shorter fermentation times and SIAF conditions scored closest to 1.0, reflecting the most favorable outcomes. Otherwise, samples from longer fermentation times in both depulped and coffee fruits scored 0.497 and 0.369, respectively, on the SA condition. These findings support technically and economically beneficial fermentation strategies. Full article
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22 pages, 482 KB  
Article
Research on the Mechanism of Digital–Real Economic Integration Enhancing Industrial Structure Upgrading
by Daojin Cheng, Yu Zhao and Yuanyuan Guo
Economies 2025, 13(9), 253; https://doi.org/10.3390/economies13090253 - 27 Aug 2025
Abstract
The integration of the digital and real economies (DRI) is an inevitable trend in future economic growth. This study measures DRI levels across 30 Chinese provinces from 2012 to 2022 using a coupling coordination model with panel data and empirically examines DRI’s impact [...] Read more.
The integration of the digital and real economies (DRI) is an inevitable trend in future economic growth. This study measures DRI levels across 30 Chinese provinces from 2012 to 2022 using a coupling coordination model with panel data and empirically examines DRI’s impact on industrial structure upgrading (ISU) through fixed-effects models, mediation effect models, and panel threshold models. The findings reveal that (1) DRI promotes industrial structure upgrading, a conclusion that remains valid under robustness tests and endogeneity tests; (2) DRI can facilitate ISU by enhancing consumption levels, correcting factor distortions, and accelerating the marketization process; (3) there exists a threshold effect, with a positive effect of DRI on ISU based on the level of digital economy and the scale of the real economy as threshold variables; (4) the impact of DRI on ISU differs across different regions due to differences in policy support and resource allocation; (5) ISU has a significant spatial spillover effect, as shown by spatial econometric analysis. These conclusions offer a new perspective, practical policy implications for China’s high-quality economic development, and strategic insights to enhance industrial competitiveness in the global value chain. Full article
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20 pages, 2753 KB  
Article
Preclinical Study of Pain Neuropeptide Expression in Murine Sensory Neurons Induced by Irradiated Osteoclasts in the Context of Stereotactic Body Radiation Therapy
by Sun H. Park, Megan Peters, Caleb Aguayo, Michael K. Farris, Ryan T. Hughes, Joseph Moore, Michael T. Munley, Kaitlyn E. Reno, Jeffrey A. Foster, Jean Gardin, George W. Schaaf, J. Mark Cline, Christopher M. Peters and Jeffrey S. Willey
Cells 2025, 14(17), 1324; https://doi.org/10.3390/cells14171324 - 27 Aug 2025
Abstract
Stereotactic body radiation therapy (SBRT) for lung tumors near the chest wall often causes significant chest wall pain (CWP), negatively impacting patients’ quality of life. The mechanisms behind SBRT-induced CWP remain unclear and may involve multiple factors. We investigated crosstalk between radiation-activated osteoclasts [...] Read more.
Stereotactic body radiation therapy (SBRT) for lung tumors near the chest wall often causes significant chest wall pain (CWP), negatively impacting patients’ quality of life. The mechanisms behind SBRT-induced CWP remain unclear and may involve multiple factors. We investigated crosstalk between radiation-activated osteoclasts and sensory neurons, focusing on osteoclast-derived factors in CWP. Using murine pre-osteoclast cell line Raw264.7, we induced differentiation with Receptor Activator of Nuclear Factor kappa-beta Ligand (RANKL), followed by 10 Gy gamma-irradiation. Conditioned media (C.M) from irradiated osteoclasts was used to treat sensory neuronal cultures from mouse dorsal root ganglia. Neuronal cultures were also exposed to 10 Gy radiation, with and without osteoclast co-culture. Osteoclast markers and pain-associated neuropeptides were analyzed using RT-qPCR and histochemical staining. Osteoclasts differentiation and activity were inhibited using osteoprotegerin (OPG) and risedronate. High-dose radiation significantly increased the size of tartrate-resistant-acid-phosphatase (TRAP)-positive osteoclasts (1.36-fold) and activity biomarkers (Ctsk, 1.35-fold, Mmp9, 1.76-fold). Neurons treated with C.M from irradiated osteoclasts showed ~1.5-fold increase in Calca (calcitonin gene-related peptide) and Tac1 (substance P) expression, which was mitigated by osteoclast inhibitors. These findings suggest that radiation enhances osteoclast activity and promotes pain signaling. Osteoclast inhibitors may represent a therapeutic strategy to reduce CWP and improve quality of life. Full article
(This article belongs to the Section Cell Signaling)
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14 pages, 374 KB  
Article
Effect of Biomass Fuel Use on Neonatal Outcomes: A Cohort Study of Pregnant Females
by Rajitha Wickremasinghe, Meghan Tipre, Ruwanthi Perera, Pavithra Godamunne, Rodney R. Larson, Mark Leader, Claudiu T. Lungu, Udaya Wimalasiri, Priyantha Perera and Sumal Nandasena
Int. J. Environ. Res. Public Health 2025, 22(9), 1336; https://doi.org/10.3390/ijerph22091336 - 27 Aug 2025
Abstract
Background: Exposure to indoor air pollution (IAP), including particulate matter of size 2.5 µm/m3 (PM2.5) and carbon monoxide (CO) resulting from the combustion of biomass fuels in homes, is an important risk factor associated with growth and developmental delays in [...] Read more.
Background: Exposure to indoor air pollution (IAP), including particulate matter of size 2.5 µm/m3 (PM2.5) and carbon monoxide (CO) resulting from the combustion of biomass fuels in homes, is an important risk factor associated with growth and developmental delays in neonates. We investigated the association between exposure to HAP and adverse birth outcomes in a birth cohort study of 594 pregnant females in Sri Lanka. Methods: Pregnant females between the ages of 18 and 40 years were enrolled in their first trimester and followed until delivery. Baseline assessments of fuel used for cooking were used to categorize the females into high-exposure (wood and kerosene) or low-exposure (liquid petroleum gas and electricity) groups. Indoor air quality measurements of PM2.5 (n = 303) and CO (n = 258) were conducted in a subgroup of households. The outcomes at birth included the neonates’ appearance, pulse, grimace, activity, respiration (APGAR) score, Brazelton Neonatal Behavioural Assessment Scale (BNBAS) score, and birth weight. Linear and logistic regressions were used to evaluate the association between household air pollution (HAP) and birth outcomes. Results: Of the 526 neonates assessed at delivery, 55.7% were born to mothers with high HAP exposure and 44.3% with low HAP exposure, respectively. The results of the linear regression found an inverse association between higher exposure to HAP and birthweight in the adjusted and unadjusted models; the birth weight of children in the high-exposure group was lower by 107 g compared to that of the low-exposure group after adjusting for other variables (β = −106.8; 95% confidence intervals: −197.6, −16.0). Exposure status was not associated with birth length, gestational age, or the APGAR score; however, the BNBAS motor score was significantly lower in the neonates of the high-exposure group (6.41 vs. 6.55, p = 0.04), though it was not significant when adjusted for other variables. No correlation was found between the measured indoor PM2.5 levels and birth weight, birth length, gestational age, APGAR score, or BNBAS score. Conclusions: Exposure to IAP due to emissions from combustion products from biomass fuels adversely affects birth weight. These effects may be more pronounced in vulnerable populations in settings where primary healthcare for pregnant women is limited. Full article
(This article belongs to the Section Environmental Health)
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Article
Genetic Diversity Analysis of Phenotypic Traits in Jujube Germplasm Resources
by Yiqun Bai, Jingmei Xie, Taohong Tong, Xiaofeng Zhou, Ze Yuan, Yingxia Zhang, Xiangyu Li and Cuiyun Wu
Agronomy 2025, 15(9), 2063; https://doi.org/10.3390/agronomy15092063 - 27 Aug 2025
Abstract
To explore the phenotypic diversity of jujube germplasm resources and identify superior genotypes, this study systematically evaluated 150 jujube accessions. Multiple organ-related traits—including branches, thorns, bearing shoots, leaves, flowers, and fruits—were investigated. A comprehensive, multidimensional analysis was conducted to assess phenotypic variation and [...] Read more.
To explore the phenotypic diversity of jujube germplasm resources and identify superior genotypes, this study systematically evaluated 150 jujube accessions. Multiple organ-related traits—including branches, thorns, bearing shoots, leaves, flowers, and fruits—were investigated. A comprehensive, multidimensional analysis was conducted to assess phenotypic variation and diversity. The results provide valuable insights for germplasm conservation and the selection of elite jujube varieties. The results showed that the variation coefficient of 18 quantitative traits ranged from 5.07% to 21.43%; the variation coefficient of fruit quality traits ranged from 4.25% to 13.48%; and the results of the cluster analysis showed that the germplasm resources were classified into three categories according to the quantitative traits and four categories according to the fruit quality traits. Principal component analysis extracted six significant components for fruit quality traits, accounting for 86.88% of the total variance. Based on the comprehensive evaluation of factor analysis, Sanlengzao, Linyilajiaozao, Zan 2, Jinmanguo, and Jing 39 performed well and ranked high in the comprehensive ranking, which can be used as an important reference for the evaluation of jujube germplasm resources and the selection and breeding of good varieties. Full article
(This article belongs to the Section Crop Breeding and Genetics)
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