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16 pages, 821 KiB  
Article
Myocardial Infarction-Associated Shock: A Comprehensive Analysis of Phenotypes, SCAI Classification, and Outcome Assessment
by Stanislav Dil, Maria Kercheva, Oleg Panteleev, Sergey Demianov, Aleksandr Kanev, Nina Belich, Boris Kornienko and Vyacheslav Ryabov
Medicina 2025, 61(1), 103; https://doi.org/10.3390/medicina61010103 (registering DOI) - 13 Jan 2025
Abstract
Background and Objectives: In-hospital mortality associated with myocardial infarction complicated by cardiogenic shock (MI-CS) remains critically high. A particularly challenging form, mixed shock (MS), combines features of cardiogenic shock (CS) with distributive elements such as vasodilation and reduced vascular resistance. MS is [...] Read more.
Background and Objectives: In-hospital mortality associated with myocardial infarction complicated by cardiogenic shock (MI-CS) remains critically high. A particularly challenging form, mixed shock (MS), combines features of cardiogenic shock (CS) with distributive elements such as vasodilation and reduced vascular resistance. MS is associated with elevated mortality rates and presents unique diagnostic and therapeutic challenges. This study aimed to analyze the clinical, historical, instrumental, and laboratory characteristics of the primary phenotypes of MI-CS, stratified according to the Society for Cardiovascular Angiography and Interventions (SCAI) shock severity scale. Materials and Methods: In this single-center, retrospective observational study, we reviewed the medical records of 1289 patients admitted to the emergency cardiology department from 1 January to 12 December 2020. Among them, 117 patients were identified as having MI-CS and were divided into two groups: MS (n = 48) and isolated CS (n = 69). The data were analyzed using the SCAI shock classification. Logistic regression analysis was employed to identify predictors of mortality and improved survival outcomes. Results: Patients with MS were older (80 years [71.0; 83.0] vs. 73 years [64.0; 81.0], p = 0.035). The overall mortality rate was significantly higher in the MS group (68% vs. 53%, RR = 1.438, 95% CI: 1.041–1.986, p = 0.03). Logistic regression identified mechanical ventilation (OR = 8.33, 95% CI: 2.54–22.80, p = 0.012), elevated lactate levels (OR = 1.20, 95% CI: 1.02–1.41, p = 0.026), and cardiopulmonary resuscitation (CPR) (OR = 7.97, 95% CI: 2.51–24.40, p < 0.0001) as independent predictors of mortality. Conversely, the use of an intra-aortic balloon pump (IABP) (OR = 0.22, 95% CI: 0.06–0.80, p = 0.021) and a higher body mass index (BMI) (OR = 0.91, 95% CI: 0.84–0.99, p = 0.038) were associated with reduced mortality risk. Conclusions: MS in the context of MI-CS represents a distinct clinical phenotype with specific hemodynamic features and significantly worsened outcomes. The identification of mortality predictors, such as mechanical ventilation, elevated lactate levels, and CPR, alongside protective factors like IABP use and a higher BMI, underscores the importance of early and tailored therapeutic interventions. These findings highlight the need for further studies to refine treatment protocols and improve outcomes in this high-risk population. Full article
(This article belongs to the Section Cardiology)
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17 pages, 1134 KiB  
Article
Effects of Parents’ Smartphone Use on Children’s Emotions, Behavior, and Subjective Well-Being
by Matea Bodrožić Selak, Marina Merkaš and Ana Žulec Ivanković
Eur. J. Investig. Health Psychol. Educ. 2025, 15(1), 8; https://doi.org/10.3390/ejihpe15010008 (registering DOI) - 13 Jan 2025
Abstract
This study aimed to examine the associations between parents’ smartphone use during conversations with children, children’s emotional and behavioral reactions to parents’ smartphone use, and children’s well-being. This study was conducted on a sample of 284 children (aged 10 to 15 years, with [...] Read more.
This study aimed to examine the associations between parents’ smartphone use during conversations with children, children’s emotional and behavioral reactions to parents’ smartphone use, and children’s well-being. This study was conducted on a sample of 284 children (aged 10 to 15 years, with a mean age of 12.23 in 2021; 40.2% boys). The data come from a four-wave longitudinal study (2021–2023) within the project D.E.C.I.D.E. Children reported how often their parents use smartphones during conversations with them (second wave), their emotions and behaviors related to parents’ smartphone use (third wave), and their subjective well-being (fourth wave). A proposed model was tested in which the frequency of parents’ smartphone use during parent–child conversations was a predictor, different children’s emotional and behavioral reactions to parents’ smartphone use were mediators, and children’s well-being was the criterion. The results showed that more frequent parents’ smartphone use is associated with more frequent children’s experiences of anger and sadness in situations when parents use smartphones while with children, which is linked to lower children’s well-being. More frequent parents’ smartphone use is associated with more giving up on seeking parents’ attention among children, which is related to lower well-being. Full article
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11 pages, 235 KiB  
Article
Effects of Physical Activity Level, Strength, Balance, and Body Composition on Perceived Health in Healthy Adults
by José Manuel Delfa-de-la-Morena, Pedro Pinheiro Paes, Frederico Camarotti Júnior, Débora Priscila Lima de Oliveira, Rubem Cordeiro Feitosa, Byanka Santos Cavalcante de Oliveira, Juan-José Mijarra-Murillo, Aranzazu Martínez Moya, Miriam García-González and Francisco De Asís-Fernández
Sports 2025, 13(1), 19; https://doi.org/10.3390/sports13010019 (registering DOI) - 13 Jan 2025
Abstract
Background: Nowadays, not only is a high, long life expectancy desired, but also longevity with quality. Quality of life in adulthood is a multidimensional construct related to the perception of one’s own health, psychological and socio-emotional factors, functionality for daily activities, and body [...] Read more.
Background: Nowadays, not only is a high, long life expectancy desired, but also longevity with quality. Quality of life in adulthood is a multidimensional construct related to the perception of one’s own health, psychological and socio-emotional factors, functionality for daily activities, and body composition. Objective: This study evaluates the effects of physical activity level (PAL), strength, balance, and body composition on perceived health in healthy adults. Methods: An observational, cross-sectional study with consecutive, non-probabilistic inclusion of cases was conducted. Body fat percentage (BFP) was measured by DXA. Physical activity level was assessed using accelerometry. The strength index (S_Index) was estimated using dynamometry. Postural control was assessed through posturography. The composite equilibrium score from the Sensory Organization Test (SOT_CES) was conducted to measure postural stability under various sensory conditions using dynamic posturography. Perceived health was calculated using the SF36 questionnaire, which detects health states, both positive and negative. A linear regression model was generated between each domain of SF36 with SOT_CES, BFP, PAL, and S_Index. Results: A total of 64 males with a mean age of 55 ± 5 years and a mean body mass index of 27 ± 4 kg/m2 were recruited. Results showed a negative correlation between physical function (ß = −0.7; t = −3.163; p = 0.003; R2 = 23.7%) and general health (ß = −0.227; t = −3.425; p = 0.001; R2 = 17.4%) with BFP. Also, it showed a negative correlation between physical function (ß = 0.047; t = −2.643; p = 0.011; R2 = 17.5%) and general health (ß = 0.016; t = −3.044; p = 0.004; R2 = 14.6%) with S_Index. On the other hand, no relation was observed between SF36 and SOT_CES. Finally, only the emotional role showed a positive correlation (ß = −0.02; t = −2.629; p = 0.011; R2 = 23.1%) with PAL. Conclusion: A lower BFP and higher S_Index are associated with increased physical function and general health. Also, the higher the PAL, the greater the emotional health. On the other hand, no relation was observed between SF36 and the balance detected from SOT_CES. Full article
23 pages, 4218 KiB  
Article
Model-Free Resilient Grid-Forming and Grid-Following Inverter Control Against Cyberattacks Using Reinforcement Learning
by Milad Beikbabaei, Brian Michael Kwiatkowski and Ali Mehrizi-Sani
Electronics 2025, 14(2), 288; https://doi.org/10.3390/electronics14020288 (registering DOI) - 13 Jan 2025
Abstract
The U.S. movement toward clean energy generation has increased the number of installed inverter-based resources (IBR) in the grid, introducing new challenges in IBR control and cybersecurity. IBRs receive their set point through the communication link, which may expose them to cyber threats. [...] Read more.
The U.S. movement toward clean energy generation has increased the number of installed inverter-based resources (IBR) in the grid, introducing new challenges in IBR control and cybersecurity. IBRs receive their set point through the communication link, which may expose them to cyber threats. Previous work has developed various techniques to detect and mitigate cyberattacks on IBRs, developing schemes for new inverters being installed in the grid. This work focuses on developing model-free control techniques for already installed IBR in the grid without the need to access IBR internal control parameters. The proposed method is tested for both the grid-forming and grid-following inverter control. Different detection and mitigation algorithms are used to enhance the accuracy of the proposed method. The proposed method is tested using the modified CIGRE 14-bus North American grid with seven IBRs in PSCAD/EMTDC. Finally, the performance of the detection algorithm is tested under grid normal transients, such as set point change, load change, and short-circuit fault, to make sure the proposed detection method does not provide false positives. Full article
(This article belongs to the Section Power Electronics)
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26 pages, 1448 KiB  
Article
Analysis and Optimal Control of Propagation Model for Malware in Multi-Cloud Environments with Impact of Brownian Motion Process
by Othman A. M. Omar, Hamdy M. Ahmed, Taher A. Nofal, Adel Darwish and A. M. Sayed Ahmed
Math. Comput. Appl. 2025, 30(1), 8; https://doi.org/10.3390/mca30010008 (registering DOI) - 13 Jan 2025
Abstract
Today, cloud computing is a widely used technology that provides a wide range of services to numerous sectors around the world. This technology depends on the interaction and cooperation of virtual machines (VMs) to complete various computing tasks, propagating malware attacks quickly due [...] Read more.
Today, cloud computing is a widely used technology that provides a wide range of services to numerous sectors around the world. This technology depends on the interaction and cooperation of virtual machines (VMs) to complete various computing tasks, propagating malware attacks quickly due to the complexity of cloud computing environments and users’ interfaces. As a result of the rising demand for cloud computing from multiple perspectives for complete analysis and decision-making across a range of life disciplines, multi-cloud environments (MCEs) are established. Therefore, in this work, we discuss impacted mathematical modeling for the MCEs’ network dynamics using two deterministic and stochastic approaches. In both approaches, appropriate assumptions are considered. Then, the proposed networks’ VMs are classified to have six different possible states covering media, healthcare, finance, and educational servers. After that, the two developed modeling approaches’ solution existence, uniqueness, equilibrium, and stability are carefully investigated. Using an optimal control strategy, both proposed models are tested for sustaining a certain level of security of the VMs’ states and reducing the propagation of malware within the networks. Finally, we verify the theoretical results by employing numerical simulations to track the malware’s propagation immunization. Results showed how the implemented control methods maintained the essential objectives of managing malware infections. Full article
(This article belongs to the Special Issue Recent Advances and New Challenges in Coupled Systems and Networks: Theory, Modelling, and Applications)
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3 pages, 130 KiB  
Editorial
Design and Mechanical Behavior of Martensitic Alloys
by Matthias Bönisch
Metals 2025, 15(1), 64; https://doi.org/10.3390/met15010064 (registering DOI) - 13 Jan 2025
Abstract
In the world of materials, few phenomena are as intriguing and simultaneously as useful as martensitic phase transformations [...] Full article
(This article belongs to the Special Issue Design and Mechanical Behavior of Martensitic Alloys)
20 pages, 927 KiB  
Article
Beyond BMI: Exploring Adolescent Lifestyle and Health Behaviours in Transylvania, Romania
by Alexandra-Ioana Roșioară, Bogdana Adriana Năsui, Nina Ciuciuc, Dana Manuela Sîrbu, Daniela Curșeu, Ștefan Cristian Vesa, Codruța Alina Popescu, Andreea Bleza and Monica Popa
Nutrients 2025, 17(2), 268; https://doi.org/10.3390/nu17020268 (registering DOI) - 13 Jan 2025
Abstract
Background/Objectives: This study aimed to investigate the lifestyle and the behavioral factors that influence the nutritional status of adolescents from Transylvania, Romania. Methods: The Global School-Based Student Health Survey (GSHS) was used to collect data from 900 adolescents between 11 and 18 years [...] Read more.
Background/Objectives: This study aimed to investigate the lifestyle and the behavioral factors that influence the nutritional status of adolescents from Transylvania, Romania. Methods: The Global School-Based Student Health Survey (GSHS) was used to collect data from 900 adolescents between 11 and 18 years old from the Transylvania region, Romania. This study assessed nutritional status by calculating BMI indicators adjusted to Z-Score, cut-off points according to the World Health Organization (WHO), using self-reported weight and height; perceived health status; food vulnerability; physical activity; addictive behaviors (cigarette, alcohol and drug consumption); number of hours spent in front of the computer/phone; hand and oral hygiene; sitting time/day; and sleep. Multivariate logistic regression was used to establish the lifestyle factors that influenced nutritional status. Results: The results showed that 8.7% (n = 78) of girls and 15.2% (n = 137) boys were overweight and obese. In total, 75% of the respondents were engaged in sedentary behaviors, and 65.8% (n = 592) had more than 2 h/day of screen exposure, considering that 98.7% of the study population had a mobile phone. The Romanian adolescents had poor dietary behaviors: over 80% of them did not meet the recommended amount of vegetable and fruit intake per day. Increased BMI was associated with higher-strength physical exercise and with being a boy. Conclusions: While some positive trends are evident, such as good oral and hand hygiene and low prevalence of smoking and drug use, significant challenges remain in areas like nutrition, physical activity, alcohol consumption and screen time. Full article
(This article belongs to the Special Issue The Impact of Children’s and Adolescents’ Diet, Nutrition and Lifestyle Habits on Physical and Mental Health: From the Latest Perspective)
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21 pages, 10225 KiB  
Article
Realization of Intermolecular Interactions as a Basis for Controlling Pervaporation Properties of Membranes Made of Aromatic Polyamide-Imides
by Svetlana V. Kononova, Galina N. Gubanova, Galina K. Lebedeva, Elena V. Kruchinina, Elena N. Vlasova, Elena N. Popova, Natalya V. Zakharova, Milana E. Vylegzhanina, Elena A. Novozhilova and Ksenia V. Danilova
Membranes 2025, 15(1), 23; https://doi.org/10.3390/membranes15010023 (registering DOI) - 13 Jan 2025
Abstract
New aromatic co-polyamide-imides (coPAIs) containing both carboxyl and hydroxyl groups in the repeating units were synthesized for the first time. Transport, thermal and morphological properties of dense nonporous membranes from PAIs obtained using the diacid chloride of 2-(4-carboxyphenyl)-1,3-dioxoisoindoline-5-carboxylic acid and diamines 5,5′-methylene-bis (2-aminophenol)) [...] Read more.
New aromatic co-polyamide-imides (coPAIs) containing both carboxyl and hydroxyl groups in the repeating units were synthesized for the first time. Transport, thermal and morphological properties of dense nonporous membranes from PAIs obtained using the diacid chloride of 2-(4-carboxyphenyl)-1,3-dioxoisoindoline-5-carboxylic acid and diamines 5,5′-methylene-bis (2-aminophenol)) and 3,5-Diaminobenzoic acid, taken in molar ratios of 7:3, 1:1, and 3:7, have been studied. High levels of membrane permeability accompanied by high selectivity for mixtures of liquids with significantly different polarities were determined by realization of intra- and intermolecular interactions in polymer, which was proved by thermal analyses and hydrodynamic characteristics of coPAIs. This effect is discussed in the context of the effectiveness of intermolecular interactions between polymer chains containing carboxyl and hydroxyl functional groups. Full article
(This article belongs to the Section Membrane Fabrication and Characterization)
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19 pages, 2619 KiB  
Article
Soluble Herpes Virus Entry Mediator and Type II/III Interferons Are Upregulated in Primary Biliary Cholangitis
by Yooyun Chung, Hio Lam Phoebe Tsou, Michael A. Heneghan, Shilpa Chokshi and Antonio Riva
Int. J. Mol. Sci. 2025, 26(2), 605; https://doi.org/10.3390/ijms26020605 (registering DOI) - 13 Jan 2025
Abstract
Bacterial translocation-induced inflammation and immune dysfunction are recognised factors contributing to the pathogenesis of primary biliary cholangitis (PBC). However, the specific involvement of interferons (IFNs) and soluble checkpoints (sol-CRs) in shaping the immune landscape in PBC patients remains unexplored. Furthermore, the influence of [...] Read more.
Bacterial translocation-induced inflammation and immune dysfunction are recognised factors contributing to the pathogenesis of primary biliary cholangitis (PBC). However, the specific involvement of interferons (IFNs) and soluble checkpoints (sol-CRs) in shaping the immune landscape in PBC patients remains unexplored. Furthermore, the influence of ursodeoxycholic acid (UDC) on these immune mediators is unknown. Twenty-eight cytokines and 14 sol-CRs were quantified by Luminex assays in plasma samples from 64 PBC patients and 10 healthy controls (HCs). D-lactate was measured as a marker of bacterial translocation. The PBC subgroups were: 24 UDC responders (UDCRs), 18 UDC non-responders (UDCNRs) and 22 patients with end-stage cirrhotic PBC (ESPBC). Soluble herpes virus entry mediator (HVEM) was upregulated in the UDCR subgroup compared to the HC group (p = 0.0404), with increased significance in the ESPBC subgroup (p < 0.0001). There was a progressive increase in several sol-CRs, particularly soluble CD80, LAG3 and CD137 in ESPBC patients. IFN-gamma was higher in the ESPBC subgroup compared to the UDCR subgroup. Elevated IFN-gamma in the UDCNR subgroup compared to UDCR was more significant on excluding patients with cirrhosis (p = 0.0056). Patients with ESPBC expressed several pro-inflammatory cytokines including IL-6, TNF-alpha and CXCL10 compared to the HC group. IFN-lambda-3, but not IFN-lambda-2, was elevated in the ESPBC subgroup compared to all other subgroups. D-lactate levels were equally elevated in all PBC subgroups compared to the HC group. This study provides valuable insights into the immune landscape of PBC, highlighting potential biomarkers and cytokine signatures associated with disease severity and treatment response. Further investigation into the mechanistic roles may pave the way for more targeted therapeutic interventions in PBC management. Full article
(This article belongs to the Special Issue Molecular Advances in Infectious Disease)
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15 pages, 3140 KiB  
Article
Sustainable Removal of Phenol from Aqueous Media by Activated Carbon Valorized from Polyethyleneterephthalate (PET) Plastic Waste
by Hoan Thi Lai, Chinh Van Tran, Nga Thuy Tran, Phuong Hien Ho, Van Huyen Luu, Ha Manh Nguyen, Hoai Phuong Thi Nguyen, Dinh Duc Nguyen and Duong Duc La
Sustainability 2025, 17(2), 548; https://doi.org/10.3390/su17020548 (registering DOI) - 13 Jan 2025
Abstract
PET, one of the most commonly used plastics, presents significant environmental challenges due to its non-biodegradable nature. To address this, we developed a sustainable method to convert PET waste into high-performance activated carbon via chemical activation with phosphoric acid (H3PO4 [...] Read more.
PET, one of the most commonly used plastics, presents significant environmental challenges due to its non-biodegradable nature. To address this, we developed a sustainable method to convert PET waste into high-performance activated carbon via chemical activation with phosphoric acid (H3PO4). The produced activated carbon was analyzed utilizing X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FT-IR), scanning electron microscopy (SEM), nitrogen adsorption/desorption (BET), energy-dispersive X-ray (EDX), and Raman spectroscopy. The activated carbon produced had a macroporous architecture with a substantial surface area, pore diameter, and pore volume of 655.59 m2/g, 3.389 nm, and 0.120 cm3/g, respectively. The adsorption isotherm of activated carbon for phenol conformed to the Langmuir model, signifying single-layer adsorption with a maximal capacity of 114.94 mg/g, while the kinetic adsorption adhered to the second-order model at an optimal pH of 7. The study highlights the sustainable benefits of mitigating plastic waste pollution while producing a cost-effective and eco-friendly adsorbent for water treatment applications. This research underscores the potential for recycling PET waste into valuable materials for environmental remediation. Full article
(This article belongs to the Section Waste and Recycling)
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20 pages, 4215 KiB  
Review
Pioneering Role of Nanopore Single-Molecule Sensing in Environmental and Food Surveillance
by Wenqiang Tian, Xu Wang, Yan Zhang, Ting Weng, Tlili Chaker, Xiaohan Chen, Qingke Kong and Deqiang Wang
Biosensors 2025, 15(1), 41; https://doi.org/10.3390/bios15010041 (registering DOI) - 13 Jan 2025
Abstract
In recent years, environmental and food safety have garnered substantial focus due to their intimate connection with human health. Numerous biosensors have been developed for identifying deleterious compounds; however, these biosensors reveal certain limitations. Nanopore sensors, featuring nano-scaled pore size, have demonstrated outstanding [...] Read more.
In recent years, environmental and food safety have garnered substantial focus due to their intimate connection with human health. Numerous biosensors have been developed for identifying deleterious compounds; however, these biosensors reveal certain limitations. Nanopore sensors, featuring nano-scaled pore size, have demonstrated outstanding performance in terms of rapidity, sensitivity, and selectivity as a single-molecule technique for environmental and food surveillance. In this review, we present a comprehensive overview of nanopore applications in these two fields. To elucidate the pioneering roles of nanopores, analytes are categorized into three distinct groups, including metal ions, synthetic contaminants, and biotoxins. Moreover, a variety of strategies are involved, such as the coalescence with ligand probes, the implementation of chemical reactions, the functionalization of nanopores, etc. These scientific studies showcase the versatility and diversity of the nanopore technique, paving the way for further developments of nanopore technology in environmental and food safety. Full article
(This article belongs to the Special Issue Biosensors for Environmental Monitoring and Food Safety)
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14 pages, 4085 KiB  
Article
Phenotypic and Complete Reference Whole Genome Sequence Analyses of Two Paenibacillus spp. Isolates from a Gray Wolf (Canis lupus) Gastrointestinal Tract
by Jessika L. Bryant, Jennifer McCabe, C. Cristoph Klews, MiCayla Johnson, Ariel N. Atchley, Thomas W. Cousins, Maya Barnard-Davidson, Kristina M. Smith, Mark R. Ackermann, Michael Netherland, Jr., Nur A. Hasan, Peter A. Jordan, Evan S. Forsythe, Patrick N. Ball and Bruce S. Seal
Vet. Sci. 2025, 12(1), 51; https://doi.org/10.3390/vetsci12010051 (registering DOI) - 13 Jan 2025
Abstract
Inflammatory bowel disease (IBD) is increasing among mammals around the world, and domestic dogs are no exception. There is no approved cure for canine IBD with limited treatment options. Novel probiotic bacteria discovery from free-ranging animals for the treatment of IBD in domestic [...] Read more.
Inflammatory bowel disease (IBD) is increasing among mammals around the world, and domestic dogs are no exception. There is no approved cure for canine IBD with limited treatment options. Novel probiotic bacteria discovery from free-ranging animals for the treatment of IBD in domestic pets can likely yield promising probiotic candidates. Consequently, the overall aim was to isolate bacteria from free-ranging animals that could potentially be utilized as novel probiotics. Two bacteria identified as unique Paenibacillus spp. strains by small ribosomal RNA (16S) gene sequencing were isolated from the gastrointestinal tract of a North American Gray Wolf (Canis lupus). The bacteria were typed as Gram-variable, and both were catalase/oxidase positive as well as sensitive to commonly used antibiotics. The bacteria digested complex carbohydrates and lipids by standard assays. The isolated bacteria also inhibited the growth of Staphylococcus aureus and Micrococcus luteus. The whole genome sequence (WGS) length of bacterial isolate ClWae17B was 6,939,193 bp, while ClWae19 was 7,032,512 bp, both similar in size to other Paenibacillus spp. The genomes of both bacteria encoded enzymes involved with the metabolism of complex starches and lipids, such as lyases and pectinases, along with encoding antimicrobials such as lanthipeptides, lasso peptides, and cyclic-lactone-autoinducers. No pernicious virulence genes were identified in the WGS of either bacterial isolate. Phylogenetically, the most closely related bacteria based on 16S gene sequences and WGS were P. taichungensis for ClWae17B and P. amylolyticus for ClWae19. WGS analyses and phenotypic assays supported the hypothesis that the isolates described constitute two novel candidate probiotic bacteria for potential use in dogs. Full article
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16 pages, 2648 KiB  
Article
Impact of Comorbidities on Prognosis and Treatment Outcomes in Elderly Patients with Hodgkin Lymphoma
by Dávid Tóthfalusi, Boglárka Dobó, Fanni Borics, László Imre Pinczés, Árpád Illés and Zsófia Miltényi
Clin. Pract. 2025, 15(1), 15; https://doi.org/10.3390/clinpract15010015 (registering DOI) - 13 Jan 2025
Abstract
Background/Objectives: Hodgkin lymphoma (HL) primarily affects young adults, but about 20% of cases occur in patients over the age of 60 years. Older individuals often have comorbidities and poorer functional status, which can affect treatment choices. Methods: We retrospectively analyzed data [...] Read more.
Background/Objectives: Hodgkin lymphoma (HL) primarily affects young adults, but about 20% of cases occur in patients over the age of 60 years. Older individuals often have comorbidities and poorer functional status, which can affect treatment choices. Methods: We retrospectively analyzed data from HL patients over 60 years old who were treated at our institution between January 2010 and December 2023. We examined various factors, such as blood parameters (e.g., platelet count, lactate dehydrogenase (LDH), C-reactive protein (CRP)), PET/CT results and comorbidities (e.g., hypertension, diabetes, cardiovascular diseases), to assess their impact on overall survival (OS) and progression-free survival (PFS). Diagnostic efficiency was determined via receiver operating characteristic analysis, while the survival outcomes were evaluated using the Cox proportional hazards model. Results: A total of 35 patients with a median age of 68 were treated. The most common subtype was nodular sclerosis, and 72% of patients were in advanced stages at diagnosis. Treatment varied by age, with younger patients receiving ABVD and older patients (80–89) receiving brentuximab vedotin with dacarbazine. The survival of older patients, when analyzed by age groups, did not show a significant difference in the OS (p = 0.16) and PFS (p = 0.11). Comorbidities significantly worsened survival, with patients who scored > 7 on the Charlson Comorbidity Index (CCI) showing a 5-year PFS of 41.3%, compared to 91.3% for those who scored ≤ 7. Among the tested laboratory parameters, a platelet count over 310.5 G/L and an absolute lymphocyte count below 0.47 G/L were found to be independent risk factors for OS. Patients with neither or only one of these risk factors demonstrated a 5-year OS of 81.7%, whereas those presenting with both risk factors experienced a reduced 5-year OS of 70%. For PFS, a white blood cell count > 8.48 G/L, a platelet count > 310.5 G/L, and advanced age (>73.5 years) were identified as significant adverse prognostic factors. Patients with none of these risk factors had a 5-year PFS of 100%, whereas those with ≥ 1 risk factor had a 5-year PFS of 35.6%. Conclusions: Comorbidities play a greater role in prognosis than chronological age, emphasizing the need for personalized treatment approaches. Full article
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19 pages, 4645 KiB  
Article
Risk in Sustainability Reporting: Designing a DEMATEL-Based Model for Enhanced Transparency and Accountability
by Ahmadreza Kazemi, Sasan Mehrani and Saeid Homayoun
Sustainability 2025, 17(2), 549; https://doi.org/10.3390/su17020549 (registering DOI) - 13 Jan 2025
Abstract
The primary concern of research in the area of fraud risk relevant to sustainability reporting lies in understanding the potential for fraudulent or misleading reporting practices and developing strategies and tools to identify and prevent such behaviors. Taking into consideration that significant research [...] Read more.
The primary concern of research in the area of fraud risk relevant to sustainability reporting lies in understanding the potential for fraudulent or misleading reporting practices and developing strategies and tools to identify and prevent such behaviors. Taking into consideration that significant research has yet to be conducted on fraud risk models associated with sustainability reporting, this study represents an innovative contribution. It uses a mixed-methods approach to design a fraud risk model based on sustainability reporting. Given its type and approach, this research does not posit any hypotheses involving thematic analysis and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method. This study is exploratory and applied, aiming to design a model through a mixed-methods methodology. Therefore, the research is hypothesis-free and instead utilizes a qualitative sample of experts and academics in the field of accounting from Iran and Denmark. The DEMATEL technique identifies key external and internal factors that significantly impact sustainability reporting, including comprehensive internal controls, strong governance and oversight, training and awareness, the utilization of technology, and data analytics. The influence of stakeholders, third-party audits, and the credibility of sustainability reports emerges as particularly significant in this context, exceeding the impact of other factors. These findings underscore that stakeholders, third-party audits, and report credibility to play a more prominent role in shaping sustainability performance compared to other considerations. This would imply that such variables remain key drivers in the perceptiveness and effectiveness of sustainability performance. Full article
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17 pages, 2007 KiB  
Review
Enhancing Maize Production Through Timely Nutrient Supply: The Role of Foliar Fertiliser Application
by Brian Ssemugenze, Akasairi Ocwa, Ronald Kuunya, Costa Gumisiriya, Csaba Bojtor, János Nagy, Adrienn Széles and Árpád Illés
Agronomy 2025, 15(1), 176; https://doi.org/10.3390/agronomy15010176 (registering DOI) - 13 Jan 2025
Abstract
Maize, regarded as a staple economic crop, attracts special global attention with the aim to enhance its production. Foliar fertilisation offers a complementary method to traditional soil fertilisation amongst resource-limited agricultural systems, providing a more efficient solution to nutrient deficiencies, especially in suboptimal [...] Read more.
Maize, regarded as a staple economic crop, attracts special global attention with the aim to enhance its production. Foliar fertilisation offers a complementary method to traditional soil fertilisation amongst resource-limited agricultural systems, providing a more efficient solution to nutrient deficiencies, especially in suboptimal soil conditions. This study aimed to analyse foliar fertiliser formulation research directions and their application in maize production. A literature search was conducted in the Web of Science (WoS) database. Bibliometric analyses were performed using the VOSviewer software (version 1.6.17). The changes in the publication trends of documents were tested using the Mann–Kendall test. The production effects of foliar fertilisation were independently synthesised. The results showed a strong positive increase in publication trends regarding maize foliar fertilisation (R2 = 0.7842). The predominant nutrients that affected maize production were nitrogen, phosphorous, potassium, zinc, iron, and manganese. The timely foliar application of nutrients corrected deficiencies and/or sustained nutrient supply under several abiotic stresses. Foliar application at critical growth stages like flowering and grain filling boosted carbohydrate and protein content, lipid levels, kernel size, mineral content, and the weight of the maize grain. This review identified important research gaps, namely genotype-specific responses, interactions with other agronomic practices, and long-term environmental effects. Full article
(This article belongs to the Special Issue Foliar Fertilization: Novel Approaches and Field Practices)
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10 pages, 223 KiB  
Article
The Self-Compassion Scale Short Form for Children Aged 8–12: Validation of the Italian Version
by Valentina Levantini, Iacopo Bertacchi, Antonella Magno, Gianluca Domenico Privitera, Alessia Rinaldi, Nicoletta Zara and Pietro Muratori
Children 2025, 12(1), 84; https://doi.org/10.3390/children12010084 (registering DOI) - 13 Jan 2025
Abstract
Background: Although self-compassion has been consistently linked to positive outcomes in adults and adolescents, only a few studies have explored self-compassion in children and early adolescents due to a lack of measures specifically designed for younger populations. Methods: The current study explored the [...] Read more.
Background: Although self-compassion has been consistently linked to positive outcomes in adults and adolescents, only a few studies have explored self-compassion in children and early adolescents due to a lack of measures specifically designed for younger populations. Methods: The current study explored the psychometric properties of the Italian translation of the Self-Compassion Scale for Children (SCS-C) in a sample of 230 children (mean age = 10.52, SD = 1.33). Results: The results revealed a two-factor solution for our data, with a positive self-compassion factor and a negative self-compassion factor, which were shown to be internally consistent. The SCS-C scores correlated with the children’s mindfulness, self-esteem, and narcissistic traits in the assumed directions. Conclusions: Overall, our study preliminarily supports the reliability and validity of the Italian version of the SCS-C. Full article
(This article belongs to the Section Pediatric Mental Health)
18 pages, 2198 KiB  
Article
COVID-19 and HIV: Clinical Outcomes and Inflammatory Markers in a Cohort from a Reference Hospital in Rio de Janeiro, Brazil
by Nathalia Beatriz Ramos de Sá, Karine Venegas Macieira, Mariana Rosa Inacio Coelho, Milena Neira Goulart, Marcelo Ribeiro-Alves, Leonardo Azevedo da Silva Rosadas, Kim Mattos Geraldo, Maria Pia Diniz Ribeiro, Sandra Wagner Cardoso, Beatriz Grinsztejn, Valdiléa G. Veloso, Andressa da Silva Cazote, Dalziza Victalina de Almeida, Carmem Beatriz Wagner Giacoia-Gripp, Fernanda Heloise Côrtes and Mariza Gonçalves Morgado
Viruses 2025, 17(1), 91; https://doi.org/10.3390/v17010091 (registering DOI) - 13 Jan 2025
Abstract
Background: Severe COVID-19 presents a variety of clinical manifestations associated with inflammatory profiles. People living with HIV (PLWH) could face a higher risk of hospitalization and mortality from COVID-19, depending on their immunosuppression levels. This study describes inflammatory markers in COVID-19 clinical outcomes [...] Read more.
Background: Severe COVID-19 presents a variety of clinical manifestations associated with inflammatory profiles. People living with HIV (PLWH) could face a higher risk of hospitalization and mortality from COVID-19, depending on their immunosuppression levels. This study describes inflammatory markers in COVID-19 clinical outcomes with and without HIV infection. Methods: We analyzed 112 inpatients of the Hospital Center for COVID-19 (INI/FIOCRUZ), including 22 cases of COVID-19 in PLWH (COVID/PLWH group). Plasma samples were tested for a panel of 15 cytokines by Luminex. Sociodemographic, clinical, and laboratory data were collected from patients’ clinical records. Results: COVID-19 individuals were stratified according to the WHO clinical severity profiles at hospitalization. Significant differences in clinical scores, symptoms (coughs), and the occurrence of HIV infection were found among the groups. Clinical blood parameters and plasma cytokines were analyzed among COVID-19 groups with distinct severity profiles. Critical COVID-19 cases showed higher levels of inflammatory markers (Bilirubin, D-dimer, PCR, and urea, as well as IL-8, IL-10, TNF-α, INF-α, IL-1β, IL-17A, IL-23, IL-6) than moderate and severe groups. The COVID/PLWH group had lower CD4 counts (64 cells/mm3) and cytokine levels than other COVID-19 patients. Conclusions: Overall, critically ill COVID-19 patients exhibited heightened inflammatory responses, while COVID/PLWH demonstrated unique immunological characteristics without increased mortality risk. Full article
(This article belongs to the Special Issue Viral Infections and Immune Dysregulation 2024-2025)
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22 pages, 3963 KiB  
Article
Analysis of the Synergistic Effect of Endophytic Bacteria and Metabolites on Yield in Soybean Roots Under Biochar with Nitrogen Fertilization
by Hui Liu, Wanyu Dou, Wenlong Zhang, Yutao Li, Guoxin Shi, Lifang Fu and Lihong Wang
Agronomy 2025, 15(1), 177; https://doi.org/10.3390/agronomy15010177 (registering DOI) - 13 Jan 2025
Abstract
The appropriate application of nitrogen fertilizers and biochar to the soil is beneficial for soybean growth, and a combination of biochar and nitrogen can improve low-nitrogen fertilizer utilization efficiency. However, the effect of the combination of biochar and nitrogen fertilizer on soybean roots [...] Read more.
The appropriate application of nitrogen fertilizers and biochar to the soil is beneficial for soybean growth, and a combination of biochar and nitrogen can improve low-nitrogen fertilizer utilization efficiency. However, the effect of the combination of biochar and nitrogen fertilizer on soybean roots is still unclear. Therefore, in this study, we investigate the changes in endophytic bacterial communities and metabolites in soybean roots under different combinations of biochar and nitrogen fertilizer treatments by setting different fertilization levels and using high-throughput sequencing and non-targeted metabolomics techniques. The results showed that applying 20 t/ha of biochar and 180 kg/ha of nitrogen fertilizer (C2N1) resulted in the highest soybean yield. By studying the endophytic bacterial community in soybean roots, it was observed that the dominant phyla were Proteobacteria, Bacteroidota, and Actinobacteriota, and the dominant genera were Bradyrhizobium, Streptomyces, and Rhizobacter. Moreover, a metabolic pathway analysis revealed that glycosylphosphatidylinositol (GPI)-anchor biosynthesis was the most significant metabolic pathway in the C0N1 vs. C0N0 comparison group, and glycerophospholipid metabolism was the most significant metabolic pathway in the C2N1 vs. C1N1 comparison group; they were both associated with regulatory mechanisms such as plant growth promotion and nutrient cycling. Structural equation modeling indicates that both endophytic bacteria and metabolites have a significant positive impact on yield. Bradyrhizobium and Rhizobium are observable variables with significant positive effects on endophytic bacteria, while Phe-Thr and 7-allyloxycoumarin are observable variables with significant positive effects on metabolites. Endophytic bacteria not only have a direct impact on crop yield, but also indirectly affect crop yield through their effects on metabolites. This study has important scientific value and guiding significance for improving soybean yields. Full article
(This article belongs to the Section Soil and Plant Nutrition)
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15 pages, 7711 KiB  
Article
Neo-BCV: A Novel Bacterial Liquid Complex Vaccine for Enhancing Dendritic Cell-Mediated Immune Responses Against Lung Cancer
by Zilong Zhu, Zhuze Chu, Fei Fei, Chenxi Wu, Zhengyue Fei, Yuxia Sun, Yun Chen and Peihua Lu
Vaccines 2025, 13(1), 64; https://doi.org/10.3390/vaccines13010064 (registering DOI) - 13 Jan 2025
Abstract
Background: In the past decade, immunotherapy has become a major choice for the treatment of lung cancer, yet its therapeutic efficacy is still relatively limited due to the various immune escape mechanisms of tumors. Based on this, we introduce Neo-BCV, a novel bacterial [...] Read more.
Background: In the past decade, immunotherapy has become a major choice for the treatment of lung cancer, yet its therapeutic efficacy is still relatively limited due to the various immune escape mechanisms of tumors. Based on this, we introduce Neo-BCV, a novel bacterial composite vaccine designed to enhance immune responses against lung cancer. Methods: We investigated the immune enhancing effect of Neo-BCV through in vivo and in vitro experiments, including flow cytometry, RNA-seq, and Western blot. Results: We have demonstrated that Neo-BCV can promote Dendritic cells (DCs) maturation and induce DCs differentiation into pro-inflammatory subgroups, significantly enhancing cytotoxic T lymphocyte (CTL)-mediated anti-tumor responses. Transcriptome sequencing revealed that Neo-BCV exerts its effects by specifically inhibiting the JAK2-STAT3 signaling pathway, a crucial regulator of cancer progression, metabolism, and inflammation. Moreover, Neo-BCV significantly improved the immune microenvironment in both tumor and spleen tissues without inducing notable toxic effects in major organs. Conclusions: These findings highlight Neo-BCV’s potential as a safe and effective therapeutic strategy, offering a novel avenue for clinical translation in lung cancer immunotherapy. Full article
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11 pages, 2224 KiB  
Article
Pain Perception Threshold in Young High-Altitude Natives After Acute Exposure to Severe Hypoxic Conditions
by Kely Melina Vilca-Coaquira, Angel Gabriel Calisaya-Huacasi, Jeancarlo Tejada-Flores, Henry Oscar Tintaya-Ramos, Mariela Mercedes Quispe-Trujillo, Solanyela Anny Quispe-Humpiri, Rossela Alejandra Rojas-Chambilla, Gilberto Félix Peña-Vicuña, Alberto Salazar Granara, Luis F. Lens Sardón, Alcides Flores-Paredes, Moua Yang, Ginés Viscor and Ivan Hancco Zirena
Oxygen 2025, 5(1), 1; https://doi.org/10.3390/oxygen5010001 (registering DOI) - 13 Jan 2025
Abstract
Previous studies indicate that individuals at high altitudes have a lower pain threshold than those living at sea level. This study evaluates the differences in pain perception among young people living at an altitude of 3800 m and after acute exposure to a [...] Read more.
Previous studies indicate that individuals at high altitudes have a lower pain threshold than those living at sea level. This study evaluates the differences in pain perception among young people living at an altitude of 3800 m and after acute exposure to a severe hypoxic environment at more than 5100 m. Fourteen people (BMI of 22.6 ± 1.2 and age of 23.3 ± 1.9 years) residing in the city of Puno (3825 m) participated in an ascent to the Populated Center of La Rinconada (>5100 m). The unilateral ischemia pain provocation test was used, applying pressure with a manual sphygmomanometer to generate transient ischemia in the arm while the patient opens and closes their hand. Onset, peak, and resolution times of pain, heart rate, and oxygen saturation were recorded. At their residence altitude of 3828 m, the mean hemoglobin was 16.16 ± 2.29, while at 5100 m, mean hemoglobin increased to 17.57 ± 1.74. The average time to pain onset in the right arm was 30.43 s ± 14.15 at 3828 m, whereas at 5100 m above sea level, the pain perception was at 31.00 s ± 19.01. At 3828 m, the average time until pain sensation in the left arm was 19.93 s ± 9.44 and increased to 23.07 s ± 10.83 at 5100 m. During exposure to a severe hypoxic environment, the pain perception threshold was similar between 3828 m and 5100 m above sea level. Full article
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18 pages, 16160 KiB  
Article
Bridging Macro–Microscopic Parameters: Correspondence and Calibration Approaches
by Wei Li, Fengling Ji and Xiangsheng Chen
Appl. Sci. 2025, 15(2), 707; https://doi.org/10.3390/app15020707 (registering DOI) - 13 Jan 2025
Abstract
Clarifying the correlation between macro–microscopic granular parameters and establishing effective parameter calibration methods for determining granular microparameters is of great importance for numerical simulations of granular flows. Currently, there is a gap in the systematic study of small particles, using sandy soil as [...] Read more.
Clarifying the correlation between macro–microscopic granular parameters and establishing effective parameter calibration methods for determining granular microparameters is of great importance for numerical simulations of granular flows. Currently, there is a gap in the systematic study of small particles, using sandy soil as an example, and the development of rational and effective calibration methods. Through inter-particle friction experiments, particle–wall friction experiments, uniaxial compression experiments and numerical simulations, we studied the relationship between macroscopic and microscopic parameters. Based on these studies, appropriate empirical formulas were proposed, and based on the correlation of macroscopic and microscopic parameters, a method for calibrating microscopic parameters was presented. This approach uses empirical formulas for macroscopic and microscopic parameters in combination with the constraints imposed by the granular stiffness coefficient to calibrate granular parameters. This study provides a systematic process framework for the calibration of microscopic parameters of small particles, standardizing the parameter calibration process and improving both efficiency and quality. Full article
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17 pages, 7759 KiB  
Article
Metabolomic Profiling Reveals Potential Biomarkers and Prominent Features in HIV/AIDS Patients Co-Infected with SARS-CoV-2
by Xuan Yan, Xinyu Zhang, Wei Song, Tangkai Qi, Zhenyan Wang, Yang Tang, Jianjun Sun, Shuibao Xu, Junyang Yang, Jiangrong Wang, Jun Chen, Renfang Zhang, Li Liu and Yinzhong Shen
Microorganisms 2025, 13(1), 144; https://doi.org/10.3390/microorganisms13010144 (registering DOI) - 13 Jan 2025
Abstract
The underlying mechanisms and diagnostic biomarkers for the progress of COVID-19 in HIV patients have not been fully elucidated. In this study, the aim is to analyze the metabolomic profiles of HIV/AIDS patients co-infected with SARS-CoV-2 and to identify biomarkers indicative of co-infection. [...] Read more.
The underlying mechanisms and diagnostic biomarkers for the progress of COVID-19 in HIV patients have not been fully elucidated. In this study, the aim is to analyze the metabolomic profiles of HIV/AIDS patients co-infected with SARS-CoV-2 and to identify biomarkers indicative of co-infection. In this study, we conducted a retrospective cohort analysis of peripheral blood samples collected from 30 HIV/AIDS patients co-infected with SARS-CoV-2 (pc group) and 30 patients without SARS-CoV-2 (nc group). In this study, through non-targeted metabolomics and lipidomics analysis, 77 differential metabolites were identified in the plasma of patients co-infected with HIV and SARS-CoV-2 compared to the nc group, with vitamin K1 emerging as a significant feature. Moreover, the plasma of the pc group showed disturbances in lipid metabolism, with elevated triglycerides (TG) and phosphatidylcholine (PC) and decreased phosphatidylglycerol (PG) compared to the control group. Vitamin K1 may be a biomarker for SARS-CoV-2 in HIV/AIDS patients, and changes in the levels of TG, PC, and PG molecules appear to be the main features following HIV co-infection with COVID-19. The emphasis in our study is on the power of using comprehensive metabolomics (lipidomics) approaches to identify metabolic biomarkers and potential mechanisms of COVID-19 in HIV/AIDS patients. Full article
(This article belongs to the Section Medical Microbiology)
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10 pages, 777 KiB  
Article
Thermodynamic Analysis of the Steam Reforming of Acetone by Gibbs Free Energy (GFE) Minimization
by Joshua O. Ighalo, Faith Uchechukwu Onyema, Victor E. Ojukwu and Johnbosco C. Egbueri
Methane 2025, 4(1), 2; https://doi.org/10.3390/methane4010002 (registering DOI) - 13 Jan 2025
Abstract
Steam reforming is an important industrial process for hydrogen production. Acetone, the by-product of phenol production from cumene peroxidation, is a useful source of hydrogen due to its availability and low value compared to hydrogen fuel. This study aimed to utilize the Gibbs [...] Read more.
Steam reforming is an important industrial process for hydrogen production. Acetone, the by-product of phenol production from cumene peroxidation, is a useful source of hydrogen due to its availability and low value compared to hydrogen fuel. This study aimed to utilize the Gibbs free energy minimization method using the Soave–Redlich–Kwong (SRK) equation of state (EOS) to conduct a thermodynamic analysis of the steam reforming process for pure component acetone. The steam reforming process is temperature dependent, with increasing temperatures leading to higher hydrogen production. Competing reactions, particularly the exothermic reverse water–gas shift, impact hydrogen yields beyond 650 °C. The study identified 600 °C as the optimum temperature to strike a balance between maximizing hydrogen production and minimizing the reverse water–gas shift’s impact. The optimal hydrogen yield (70 mol%) was achieved at a steam-to-oil ratio (STOR) of 12. High STOR values shift the equilibrium of the water–gas shift reaction towards hydrogen production due to increased steam, effectively consuming acetone and favoring the desired product. Atmospheric pressure is optimum for hydrogen production because the equilibrium of gas phase reactions shifts in favor of the lighter components at lower pressures. Full article
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28 pages, 127916 KiB  
Article
A Pine Wilt Disease Detection Model Integrated with Mamba Model and Attention Mechanisms Using UAV Imagery
by Minhui Bai, Xinyu Di, Lechuan Yu, Jian Ding and Haifeng Lin
Remote Sens. 2025, 17(2), 255; https://doi.org/10.3390/rs17020255 (registering DOI) - 13 Jan 2025
Abstract
Pine wilt disease (PWD) is a highly destructive worldwide forest quarantine disease that has the potential to destroy entire pine forests in a relatively brief period, resulting in significant economic losses and environmental damage. Manual monitoring, biochemical detection and satellite remote sensing are [...] Read more.
Pine wilt disease (PWD) is a highly destructive worldwide forest quarantine disease that has the potential to destroy entire pine forests in a relatively brief period, resulting in significant economic losses and environmental damage. Manual monitoring, biochemical detection and satellite remote sensing are frequently inadequate for the timely detection and control of pine wilt disease. This paper presents a fusion model, which integrates the Mamba model and the attention mechanism, for deployment on unmanned aerial vehicles (UAVs) to detect infected pine trees. The experimental dataset presented in this paper comprises images of pine trees captured by UAVs in mixed forests. The images were gathered primarily during the spring of 2023, spanning the months of February to May. The images were subjected to a preprocessing phase, during which they were transformed into the research dataset. The fusion model comprised three principal components. The initial component is the Mamba backbone network with State Space Model (SSM) at its core, which is capable of extracting pine wilt features with a high degree of efficacy. The second component is the attention network, which enables our fusion model to center on PWD features with greater efficacy. The optimal configuration was determined through an evaluation of various attention mechanism modules, including four attention modules. The third component, Path Aggregation Feature Pyramid Network (PAFPN), facilitates the fusion and refinement of data at varying scales, thereby enhancing the model’s capacity to detect multi-scale objects. Furthermore, the convolutional layers within the model have been replaced with depth separable convolutional layers (DSconv), which has the additional benefit of reducing the number of model parameters and improving the model’s detection speed. The final fusion model was validated on a test set, achieving an accuracy of 90.0%, a recall of 81.8%, a map of 86.5%, a parameter counts of 5.9 Mega, and a detection speed of 40.16 FPS. In comparison to Yolov8, the accuracy is enhanced by 7.1%, the recall by 5.4%, and the map by 3.1%. These outcomes demonstrate that our fusion model is appropriate for implementation on edge devices, such as UAVs, and is capable of effective detection of PWD. Full article
(This article belongs to the Special Issue Monitoring and Managing Environmental Sustainability Using Remote Sensing)
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13 pages, 1002 KiB  
Article
Nutritional Profiles and Factors Associated with the Intake of Certain Food Types in Patients Undergoing Maxillofacial Prosthetic Rehabilitation: A Cross-Sectional Study
by Nehasha Pradhan, Mai Murase, Masako Akiyama, Hiroko Tani, Yuka I. Sumita and Noriyuki Wakabayashi
Dent. J. 2025, 13(1), 29; https://doi.org/10.3390/dj13010029 (registering DOI) - 13 Jan 2025
Abstract
Background: Malnutrition is a significant concern for head and neck cancer (HNC) patients, as treatment often impairs mastication, causes dysphagia, and alters taste and smell, leading to reduced food intake and a diminished quality of life. Thus, this study aims to compare nutritional [...] Read more.
Background: Malnutrition is a significant concern for head and neck cancer (HNC) patients, as treatment often impairs mastication, causes dysphagia, and alters taste and smell, leading to reduced food intake and a diminished quality of life. Thus, this study aims to compare nutritional intake in HNC survivors using maxillofacial prostheses (MFPs) to healthy reference values and identify the factors influencing their dietary intake. Methods: The study included 56 patients treated for HNC undergoing rehabilitation with comfortable definitive dentures for over a month at the Maxillofacial Prosthetics Clinic of Tokyo Medical and Dental University Hospital. Data were gathered on the demographics, clinical characteristics, malnutrition risk using a malnutrition universal screening tool, dietary intake consistency via a functional oral intake scale, swallowing difficulties with eating assessment tool-10, and nutrient intake through a Brief-type Self-administered Dietary History Questionnaire. Patients’ nutrient intakes were compared to the reference values from the BDHQ ad hoc computer algorithm based on the 2015 National Health and Nutrition Survey in Japan. Factors such as maximum mouth opening and the number of functional teeth were also assessed together with the aforementioned factors. Results: There were significant differences between the patient values and reference values, with lower intakes of total dietary fiber, carbohydrates, and β-carotene, while higher intakes of calcium, fats, and certain vitamins were noted in the patients. Food intake consistency, swallowing difficulties, and mouth opening significantly influenced green vegetable intake, whereas sex and the number of functional teeth impacted cereal intake. Conclusions: The HNC survivors were rehabilitated with MFP; however, their nutritional intake differed from that of healthy subjects. The significance of swallowing rehabilitation, appropriate food preparation, exercises to enhance mouth opening, and the preservation of functional teeth has been emphasized as critical factors influencing diet in head and neck cancer (HNC) survivors. Additionally, the importance of a multidisciplinary approach to nutritional care for these individuals is underscored. Full article
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15 pages, 3018 KiB  
Article
LDDP-Net: A Lightweight Neural Network with Dual Decoding Paths for Defect Segmentation of LED Chips
by Jie Zhang, Ning Chen, Mengyuan Li, Yifan Zhang, Xinyu Suo, Rong Li and Jian Liu
Sensors 2025, 25(2), 425; https://doi.org/10.3390/s25020425 (registering DOI) - 13 Jan 2025
Abstract
Chip defect detection is a crucial aspect of the semiconductor production industry, given its significant impact on chip performance. This paper proposes a lightweight neural network with dual decoding paths for LED chip segmentation, named LDDP-Net. Within the LDDP-Net framework, the receptive field [...] Read more.
Chip defect detection is a crucial aspect of the semiconductor production industry, given its significant impact on chip performance. This paper proposes a lightweight neural network with dual decoding paths for LED chip segmentation, named LDDP-Net. Within the LDDP-Net framework, the receptive field of the MobileNetv3 backbone is modified to mitigate information loss. In addition, dual decoding paths consisting of a coarse decoding path and a fine-grained decoding path in parallel are developed. Specifically, the former employs a straightforward upsampling approach, emphasizing macro information. The latter is more detail-oriented, using multiple pooling and convolution techniques to focus on fine-grained information after deconvolution. Moreover, the integration of intermediate-layer features into the upsampling operation enhances boundary segmentation. Experimental results demonstrate that LDDP-Net achieves an mIoU (mean Intersection over Union) of 90.29% on the chip dataset, with parameter numbers and FLOPs (Floating Point Operations) of 2.98 M and 2.24 G, respectively. Comparative analyses with advanced methods reveal varying degrees of improvement, affirming the effectiveness of the proposed method. Full article
(This article belongs to the Special Issue Recent Advances in Imaging Sensors: Integration with Machine Learning and Artificial Intelligence)
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