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14 pages, 2441 KiB

Open AccessArticle

Determination of Biochemical and Metabolomic Characteristics of Sheep Blood Serum and Their Application in Clinical Practice

by Peter Očenáš, Matej Baloga, Marcela Valko-Rokytovská and Sonja Ivašková

Life 2025, 15(7), 1141; https://doi.org/10.3390/life15071141 (registering DOI) - 20 Jul 2025

Abstract

Due to advances in molecular technologies and the expanding knowledge of biomarkers, their use in patient screening, diagnosis, prognosis, and targeted therapy is continuously increasing. Biomarker characteristics play a crucial role across all areas of medical research/practice. Biomarkers often reflect changes in the [...] Read more.

Due to advances in molecular technologies and the expanding knowledge of biomarkers, their use in patient screening, diagnosis, prognosis, and targeted therapy is continuously increasing. Biomarker characteristics play a crucial role across all areas of medical research/practice. Biomarkers often reflect changes in the biochemical composition of biofluids, which can be qualitatively and quantitatively analyzed using methods such as high-performance liquid chromatography (HPLC) at various stages of clinical intervention. This study focuses on establishing physiological reference ranges for selected biochemical and metabolomic indicators by analyzing blood serum samples from domestic sheep. A total of sixty samples are examined using standard biochemical assays and HPLC, resulting in the determination of experimental reference values for twenty-one biochemical and eight metabolomic parameters. Reliable and reproducible preclinical testing is essential before any diagnostic method can be introduced into clinical use. A thorough understanding of the safety and efficacy of such methods in animal models is a prerequisite for initiating human trials. Species selection and the definition of physiological biomarker ranges are therefore critical components in the development of effective preclinical protocols. This work contributes to the foundation needed for further clinical testing by establishing reference values for relevant biomarkers in a commonly used animal model. Full article

(This article belongs to the Section Genetics and Genomics)

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27 pages, 1036 KiB

Open AccessReview

Outcomes in Adults with Celiac Disease Following a Gluten-Free Diet

by Daniel Vasile Balaban, Iulia Enache, Marina Balaban, Răzvan Andrei David, Andreea-Diana Vasile, Alina Popp and Mariana Jinga

J. Clin. Med. 2025, 14(14), 5144; https://doi.org/10.3390/jcm14145144 (registering DOI) - 20 Jul 2025

Abstract

Background/Objectives: Histological follow-up still lacks consensus in the long-term management of adult patients with celiac disease (CD) adhering to a gluten-free diet (GFD). Despite clinical and serological improvement, a significant proportion of patients continue to have persistent villous atrophy. We aimed to [...] Read more.

Background/Objectives: Histological follow-up still lacks consensus in the long-term management of adult patients with celiac disease (CD) adhering to a gluten-free diet (GFD). Despite clinical and serological improvement, a significant proportion of patients continue to have persistent villous atrophy. We aimed to synthesize current evidence regarding histological outcomes after GFD treatment in adult CD, focusing on mucosal healing rates, assessment methods, and remission criteria. Methods: We conducted a literature search with extraction and analysis of published cohort studies that included adult patients with CD on GFD with follow-up biopsy data. Extracted parameters included demographic details, baseline histology, GFD duration and adherence, serologic status, and histologic recovery rates with corresponding remission criteria. Results: Data from 46 studies comprising 15,530 patients were analyzed. The overall mean age was 41 years, and 73.3% were female. Mean histologic remission across cohorts was 58.8%, with considerable interstudy variation. Remission criteria also varied widely, ranging from strict Marsh 0 control histology to more inclusive definitions that considered Marsh 1 or even non-atrophic mucosa (Marsh < 3) as indicative of recovery, while some studies relied on quantitative villous height-to-crypt depth ratio thresholds, substantially influencing reported remission rates. Longer GFD duration and rigorous diet adherence assessment using validated questionnaires and accurate laboratory tools were associated with higher remission rates. Conclusions: Histologic remission in GFD-treated adult patients with CD is highly variable and strongly influenced by remission definitions and adherence assessment methods. Standardized reporting using validated metrics for histologic outcome and dietary compliance is essential for harmonizing follow-up strategies in adult CD. Full article

(This article belongs to the Special Issue Future Trends in the Diagnosis and Management of Celiac Disease)

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13 pages, 464 KiB

Open AccessArticle

Short-Term Outcomes in Planned Versus Unplanned Surgery for Spinal Metastases

by Ali Haider Bangash, Sertac Kirnaz, Rose Fluss, Victoria Cao, Alexander Alexandrov, Liza Belman, Yaroslav Gelfand, Saikiran G. Murthy, Reza Yassari and Rafael De la Garza Ramos

Cancers 2025, 17(14), 2403; https://doi.org/10.3390/cancers17142403 (registering DOI) - 20 Jul 2025

Abstract

Background/Objectives: Metastatic spine disease (MSD) affects a significant proportion of patients with advanced malignancies and often necessitates surgical intervention to preserve neurological function, alleviate pain, and maintain spinal stability. While oncologic spine surgery is ideally performed in a planned, semi-elective setting, a substantial [...] Read more.

Background/Objectives: Metastatic spine disease (MSD) affects a significant proportion of patients with advanced malignancies and often necessitates surgical intervention to preserve neurological function, alleviate pain, and maintain spinal stability. While oncologic spine surgery is ideally performed in a planned, semi-elective setting, a substantial number of patients require unplanned (urgent or emergent) surgery due to acute deterioration. The impact of surgical planning status on postoperative outcomes following metastatic spine tumor surgery remains underexplored. This study aimed to compare the patient characteristics and short-term outcomes of those undergoing planned versus unplanned surgery for spinal metastases. Methods: We conducted a retrospective cohort study using the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database from 2018 to 2023. Patients with disseminated cancer undergoing tumor surgery were identified. Case types were grouped into planned (elective) and unplanned (urgent or emergent). The primary endpoint was failure to rescue (FTR); secondary endpoints included 30-day major complications, 30-day mortality, and length of hospital stay. Univariable and multivariable regression analyses were performed. Results: A total of 2147 patients met our inclusion criteria, out of whom 60% (n = 1284) underwent planned and 40% (n = 863) underwent unplanned surgery. Patients in the unplanned surgery group had a significantly higher prevalence of severe hypoalbuminemia, severe anemia, and ASA class IV status (p ≤ 0.001 for all). For our primary endpoint, a multivariable analysis showed a significant association between unplanned surgery and FTR (OR 2.11 [95% CI 1.24 to 3.56]; p = 0.005). Significant associations were also found with 30-day mortality (OR 1.84 [95% CI 1.25 to 2.72]; p = 0.002) and length of hospital stay (β 2.7 [95% CI 1.97 to 3.43]; p < 0.001). However, unplanned surgery could not independently predict 30-day major complications (OR 1.21 [95% CI 0.97 to 1.51]; p = 0.08). Conclusions: Our study found that unplanned surgery for spinal metastases was associated with significantly higher rates of FTR, 30-day mortality, and extended hospital stay, independent of other covariates. These findings highlight the importance of the timely identification of patients requiring surgery and the potential benefits of semi-elective care. Full article

(This article belongs to the Special Issue Surgical Advances in Cancer Treatments: Exploring Innovative Approaches and Emerging Perspectives by the Italian College of Associate Professors of Surgery)

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24 pages, 5801 KiB

Open AccessArticle

A Study on the Performance of Gel-Based Polyurethane Prepolymer/Ceramic Fiber Composite-Modified Asphalt

by Tengteng Guo, Xu Guo, Yuanzhao Chen, Chenze Fang, Jingyu Yang, Zhenxia Li, Jiajie Feng, Hao Huang, Zhi Li, Haijun Chen and Jiachen Wang

Gels 2025, 11(7), 558; https://doi.org/10.3390/gels11070558 (registering DOI) - 20 Jul 2025

Abstract

In order to solve various problems in traditional roads and extend their service life, new road materials have become a research hotspot. Polyurethane prepolymers (PUPs) and ceramic fibers (CFs), as materials with unique properties, were chosen due to their synergistic effect: PUPs provide [...] Read more.

In order to solve various problems in traditional roads and extend their service life, new road materials have become a research hotspot. Polyurethane prepolymers (PUPs) and ceramic fibers (CFs), as materials with unique properties, were chosen due to their synergistic effect: PUPs provide elasticity and gel-like behavior, while CFs contribute to structural stability and high-temperature resistance, making them ideal for enhancing asphalt performance. PUPs, a thermoplastic and elastic polyurethane gel material, not only enhance the flexibility and adhesion properties of asphalt but also significantly improve the structural stability of composite materials when synergistically combined with CF. Using response surface methodology, an optimized preparation scheme for PUP/CF composite-modified asphalt was investigated. Through aging tests, dynamic shear rate (DSR) testing, bending rate (BBR) testing, microstructure scanning (MSCR), scanning electron microscopy (SEM), atomic force microscopy (AFM), and infrared spectroscopy (IR), the aging performance, rheological properties, permanent deformation resistance, microstructure, and modification mechanism of PUP/CF composite-modified asphalt were investigated. The results indicate that the optimal preparation scheme is a PUP content of 7.4%, a CF content of 2.1%, and a shear time of 40 min. The addition of the PUP and CF significantly enhances the asphalt’s aging resistance, and compared with single-CF-modified asphalt and base asphalt, the PUP/CF composite-modified asphalt exhibits superior high- and low-temperature rheological properties, demonstrating stronger strain recovery capability. The PUP forms a gel network structure in the material, effectively filling the gaps between CF and asphalt, enhancing interfacial bonding strength, and making the overall performance more stable. AFM microscopic morphology shows that PUP/CF composite-modified asphalt has more “honeycomb structures” than matrix asphalt and CF-modified asphalt, forming more structural asphalt and enhancing overall structural stability. This study indicates that the synergistic effect of PUP gel and CF significantly improves the macro and micro properties of asphalt. The PUP forms a three-dimensional elastic gel network in asphalt, improving adhesion and deformation resistance. Using response surface methodology, the optimal formulation (7.4% PUP, 2.1% CF) improves penetration (↓41.5%), softening point (↑6.7 °C), and ductility (↑9%), demonstrating the relevance of gel-based composites for asphalt modification. Full article

(This article belongs to the Special Issue Synthesis, Properties, and Applications of Novel Polymer-Based Gels)

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13 pages, 2195 KiB

Open AccessArticle

Electrical Characterization of a Novel Piezoelectric-Enhanced Supercapacitor with a PET/ITO/PVDF-Tr-FE/PEDOT:PSS:Graphene/LiTaO₃/Al Structure

by Mariya Aleksandrova and Ivaylo Pandiev

Crystals 2025, 15(7), 660; https://doi.org/10.3390/cryst15070660 (registering DOI) - 20 Jul 2025

Abstract

This paper presents the electrical characterization of a flexible supercapacitor with a unique architecture incorporating a piezoelectric PVDF-TrFE film sandwiched between PEDOT:PSS:Graphene and LiTaO₃ as a charge-generating and charge-transferring layer. Impedance spectroscopy measurements reveal frequency-dependent capacitance behavior, reflecting the contributions of both [...] Read more.

This paper presents the electrical characterization of a flexible supercapacitor with a unique architecture incorporating a piezoelectric PVDF-TrFE film sandwiched between PEDOT:PSS:Graphene and LiTaO₃ as a charge-generating and charge-transferring layer. Impedance spectroscopy measurements reveal frequency-dependent capacitance behavior, reflecting the contributions of both piezoelectric and supercapacitor capacitances. Charge–discharge cycling tests demonstrate the device’s energy storage capabilities and indicate a potential enhancement through the piezoelectric effect. Supercapacitor cycling tests demonstrate the device’s energy storage capabilities, with an estimated specific capacitance of 10.14 F/g, a power density of 16.3 W/g, an energy density of 5.63 Wh/kg, and a Coulombic efficiency of 96.1% from an active area of 1 cm². The proposed structure can serve as an independent harvester and storage for low-power, wearable sensors. Full article

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25 pages, 4682 KiB

Open AccessArticle

Visual Active SLAM Method Considering Measurement and State Uncertainty for Space Exploration

by Yao Zhao, Zhi Xiong, Jingqi Wang, Lin Zhang and Pascual Campoy

Aerospace 2025, 12(7), 642; https://doi.org/10.3390/aerospace12070642 (registering DOI) - 20 Jul 2025

Abstract

This paper presents a visual active SLAM method considering measurement and state uncertainty for space exploration in urban search and rescue environments. An uncertainty evaluation method based on the Fisher Information Matrix (FIM) is studied from the perspective of evaluating the localization uncertainty [...] Read more.

This paper presents a visual active SLAM method considering measurement and state uncertainty for space exploration in urban search and rescue environments. An uncertainty evaluation method based on the Fisher Information Matrix (FIM) is studied from the perspective of evaluating the localization uncertainty of SLAM systems. With the aid of the Fisher Information Matrix, the Cramér–Rao Lower Bound (CRLB) of the pose uncertainty in the stereo visual SLAM system is derived to describe the boundary of the pose uncertainty. Optimality criteria are introduced to quantitatively evaluate the localization uncertainty. The odometry information selection method and the local bundle adjustment information selection method based on Fisher Information are proposed to find out the measurements with low uncertainty for localization and mapping in the search and rescue process. By adopting the method above, the computing efficiency of the system is improved while the localization accuracy is equivalent to the classical ORB-SLAM2. Moreover, by the quantified uncertainty of local poses and map points, the generalized unary node and generalized unary edge are defined to improve the computational efficiency in computing local state uncertainty. In addition, an active loop closing planner considering local state uncertainty is proposed to make use of uncertainty in assisting the space exploration and decision-making of MAV, which is beneficial to the improvement of MAV localization performance in search and rescue environments. Simulations and field tests in different challenging scenarios are conducted to verify the effectiveness of the proposed method. Full article

(This article belongs to the Section Aeronautics)

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11 pages, 1461 KiB

Open AccessArticle

Volumetric Bone Mineral Density Assessed by Dual-Energy CT Predicts Bone Strength Suitability for Cementless Total Knee Arthroplasty

by Dong Hwan Lee, Dai-Soon Kwak, Sheen-Woo Lee, Yong Deok Kim, Nicole Cho and In Jun Koh

Medicina 2025, 61(7), 1305; https://doi.org/10.3390/medicina61071305 (registering DOI) - 20 Jul 2025

Abstract

Background and Objectives: Adequate bone quality is essential for promoting initial bone ingrowth and preventing early migration during cementless total knee arthroplasty (TKA). However, gold-standard criteria for identifying suitable bone strength have yet to be established. Dual-energy computed tomography (DECT)-based volumetric bone [...] Read more.

Background and Objectives: Adequate bone quality is essential for promoting initial bone ingrowth and preventing early migration during cementless total knee arthroplasty (TKA). However, gold-standard criteria for identifying suitable bone strength have yet to be established. Dual-energy computed tomography (DECT)-based volumetric bone mineral density (vBMD) is an emerging tool for assessing bone quality. This study aimed to determine whether DECT-derived vBMD can accurately predict suitable bone strength for cementless TKA. Materials and Methods: A total of 190 patients undergoing primary TKA with a standardized posterior-stabilized implant were prospectively enrolled. Prior to TKA, DECT-derived vBMD was measured in the femoral box region. Actual bone strength was evaluated using an indentation test on resected femoral box specimens. Correlation and linear regression analyses were performed to assess the relationship between DECT vBMD and actual bone strength. Receiver operating characteristic (ROC) curve analysis and area under the curve (AUC) calculations were used to determine the optimal cut-off value and diagnostic accuracy of DECT vBMD in identifying candidates suitable for cementless TKA. Results: DECT-derived vBMD exhibited a strong correlation with actual bone strength (correlation coefficient = 0.719, p < 0.01), while linear regression analysis revealed a moderate association (R² = 0.51, p < 0.01). In addition, it demonstrated excellent diagnostic performance in predicting adequate bone quality for cementless TKA, yielding an AUC of 0.984, with a sensitivity of 91.9% and a specificity of 92.0%. Conclusions: DECT-derived vBMD is a reliable and accurate tool for assessing bone strength around the knee and predicting the suitable bone quality for cementless TKA. Full article

(This article belongs to the Special Issue Clinical Research in Orthopaedics and Trauma Surgery)

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20 pages, 18416 KiB

Open AccessArticle

Swin-FSNet: A Frequency-Aware and Spatially Enhanced Network for Unpaved Road Extraction from UAV Remote Sensing Imagery

by Jiwu Guan, Qingzhan Zhao, Wenzhong Tian, Xinxin Yao, Jingyang Li and Wei Li

Remote Sens. 2025, 17(14), 2520; https://doi.org/10.3390/rs17142520 (registering DOI) - 20 Jul 2025

Abstract

The efficient recognition of unpaved roads from remote sensing (RS) images holds significant value for tasks such as emergency response and route planning in outdoor environments. However, unpaved roads often face challenges such as blurred boundaries, low contrast, complex shapes, and a lack [...] Read more.

The efficient recognition of unpaved roads from remote sensing (RS) images holds significant value for tasks such as emergency response and route planning in outdoor environments. However, unpaved roads often face challenges such as blurred boundaries, low contrast, complex shapes, and a lack of publicly available datasets. To address these issues, this paper proposes a novel architecture, Swin-FSNet, which combines frequency analysis and spatial enhancement techniques to optimize feature extraction. The architecture consists of two core modules: the Wavelet-Based Feature Decomposer (WBFD) module and the Hybrid Dynamic Snake Block (HyDS-B) module. The WBFD module enhances boundary detection by capturing directional gradient changes at the road edges and extracting high-frequency features, effectively addressing boundary blurring and low contrast. The HyDS-B module, by adaptively adjusting the receptive field, performs spatial modeling for complex-shaped roads, significantly improving adaptability to narrow road curvatures. In this study, the southern mountainous area of Shihezi, Xinjiang, was selected as the study area, and the unpaved road dataset was constructed using high-resolution UAV images. Experimental results on the SHZ unpaved road dataset and the widely used DeepGlobe dataset show that Swin-FSNet performs well in segmentation accuracy and road structure preservation, with an IoU_road of 81.76% and 71.97%, respectively. The experiments validate the excellent performance and robustness of Swin-FSNet in extracting unpaved roads from high-resolution RS images. Full article

(This article belongs to the Special Issue Road Extraction and Distress Assessment by Spaceborne, Airborne and Terrestrial Platforms (Second Edition))

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16 pages, 1506 KiB

Open AccessArticle

Theoretical Framework (Module) for Short-Sea Shipping System Evaluation

by Vytautas Paulauskas, Birutė Plačienė, Donatas Paulauskas, Rafał Koba, Patryk Lipka, Krzysztof Czaplewski, Adam Weintrit and Andrzej Chybicki

Appl. Sci. 2025, 15(14), 8058; https://doi.org/10.3390/app15148058 (registering DOI) - 20 Jul 2025

Abstract

Short-sea shipping, abbreviated SSS, is the transportation of goods by sea over relatively short distances, in contrast to intercontinental ocean and deep-sea shipping. Short-sea shipping (SSS) is important for cargo transportation in some regions of the world with many ports and well-developed liner [...] Read more.

Short-sea shipping, abbreviated SSS, is the transportation of goods by sea over relatively short distances, in contrast to intercontinental ocean and deep-sea shipping. Short-sea shipping (SSS) is important for cargo transportation in some regions of the world with many ports and well-developed liner shipping. The development and improvement of SSS systems is an important scientific and practical task. This article presents theoretical and experimental results of the development and optimization of SSS. A methodology for connecting and evaluating SSS and other transport chains was developed and tested by experimental studies, with the help of which it is possible to assess the efficiency of SSS and other transport chains, e.g., in terms of economy, freight transportation time, and environmental impact. The developed SSS methodology includes sea and land transport corridors, their assessment, and possible ways of optimizing transport chains using a comparative method and can be applied to various transport and logistics chains. The basis for the development and verification of the SSS methodology was the theoretical and experimental results of real short-sea shipping operations. The use of a comparative method based on which transport and logistics chains are assessed allows one to search for the most optimal SSS routes and possible factors that allow optimizing transportation costs and reducing transportation time and environmental impact. Full article

(This article belongs to the Special Issue Advances in Land, Rail and Maritime Transport and in City Logistics)

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12 pages, 493 KiB

Open AccessArticle

Exploring Non-Gaussianity Reduction in Quantum Channels

by Micael Andrade Dias and Francisco Marcos de Assis

Entropy 2025, 27(7), 768; https://doi.org/10.3390/e27070768 (registering DOI) - 20 Jul 2025

Abstract

The quantum relative entropy between a quantum state and its Gaussian equivalent is a quantifying function of the system’s non-Gaussianity, a useful resource in several applications, such as quantum communication and computation. One of its most fundamental properties is to be monotonically decreasing [...] Read more.

The quantum relative entropy between a quantum state and its Gaussian equivalent is a quantifying function of the system’s non-Gaussianity, a useful resource in several applications, such as quantum communication and computation. One of its most fundamental properties is to be monotonically decreasing under Gaussian evolutions. In this paper, we develop the conditions for a non-Gaussian quantum channel to preserve the monotonically decreasing property. We propose a necessary condition to classify between Gaussian and non-Gaussian channels and use it to define a class of quantum channels that decrease the system’s non-Gaussianity. We also discuss how this property, combined with a restriction on the states at the channel’s input, can be applied to the security analysis of continuous-variable quantum key distribution protocols. Full article

(This article belongs to the Special Issue Continuous Variables for Quantum Key Distribution and Quantum Random Number Generators)

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23 pages, 11160 KiB

Open AccessArticle

Modeling the Influence of CYP2C9 and ABCB1 Gene Polymorphisms on the Pharmacokinetics and Pharmacodynamics of Losartan

by Dmitry Babaev, Elena Kutumova and Fedor Kolpakov

Pharmaceutics 2025, 17(7), 935; https://doi.org/10.3390/pharmaceutics17070935 (registering DOI) - 20 Jul 2025

Abstract

Background/Objectives: Hypertension is a pathological condition characterized by elevated systolic and/or diastolic blood pressure. A range of pharmacotherapeutic agents are available to treat this condition and prevent complications, including the angiotensin II AT1-receptor blocker losartan. Following oral administration, losartan is exposed to a [...] Read more.

Background/Objectives: Hypertension is a pathological condition characterized by elevated systolic and/or diastolic blood pressure. A range of pharmacotherapeutic agents are available to treat this condition and prevent complications, including the angiotensin II AT1-receptor blocker losartan. Following oral administration, losartan is exposed to a variety of enzymes that facilitate its metabolism or transportation. The structural characteristics of the genes that encode the enzymes may potentially impact the pharmacokinetics and pharmacodynamics of losartan, thereby modulating its effects on the treatment process. Methods: In this study, a computational model of losartan pharmacokinetics was developed, taking into account the influence of different alleles of the CYP2C9 gene, which plays a pivotal role in losartan metabolism, and the ABCB1 gene, which is responsible for losartan transport. Results: Alterations in the modeled activities of the enzymes encoded by CYP2C9 and ABCB1 result in changes in the losartan and its metabolite profiles that are consistent with known experimental data in real patients with different CYP2C9 and ABCB1 genotypes. Conclusions: The findings of the modeling can potentially be used to personalize drug therapy for arterial hypertension. Full article

(This article belongs to the Special Issue In Vitro–In Vivo Correlation and Mechanistic Pharmacokinetic Models: Bridging Drug In Vitro Characteristics and In Vivo Behaviors)

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12 pages, 280 KiB

Open AccessArticle

Clinical Predictors of Polyautoimmunity in Autoimmune Liver Diseases: Insights into Disease Complexity

by Özge Güçbey Türker, Çağdaş Kalkan, Gülden Bilican, Emra Asfuroğlu Kalkan, Ali Atay, İhsan Ateş and İrfan Soykan

J. Clin. Med. 2025, 14(14), 5143; https://doi.org/10.3390/jcm14145143 (registering DOI) - 20 Jul 2025

Abstract

Background: Autoimmune liver diseases (ALDs) are a diverse group of chronic inflammatory disorders. Individuals with a history of one autoimmune disease (AD) are at a substantially increased risk of developing additional autoimmune conditions. Polyautoimmunity has increasingly been recognized as a factor associated [...] Read more.

Background: Autoimmune liver diseases (ALDs) are a diverse group of chronic inflammatory disorders. Individuals with a history of one autoimmune disease (AD) are at a substantially increased risk of developing additional autoimmune conditions. Polyautoimmunity has increasingly been recognized as a factor associated with a more complex disease course and poorer long-term outcomes. Methods: This retrospective, cross-sectional observational study reviewed medical records of patients diagnosed with ALDs who had been admitted to the gastroenterology clinic. Results: A total of 457 patients with ALDs were included. Polyautoimmunity was present in 194 patients (42.5%), and multiple autoimmune syndrome (MAS) was diagnosed in 26 of these patients (5.7%). Serological comparisons revealed that antinuclear antibody (ANA) positivity was significantly more common in the polyautoimmunity group. Only 22.2% of the patients with polyautoimmunity were ANA-negative, compared with 52.9% in those without. An ROC curve analysis was conducted to assess the predictive value of clinical and laboratory variables for polyautoimmunity. Among all the tested parameters, ANA positivity (>+2) had the strongest predictive value (AUC: 0.724). A disease duration longer than 6.5 years followed, with a moderate discriminative capacity (AUC: 0.677). Additionally, lower albumin levels (<3.0 g/dL) and elevated erythrocyte sedimentation rates (ESRs) (>29.5 mm/h) were significantly associated with polyautoimmunity. Conclusions: In our cohort, 42.5% of patients had at least one additional autoimmune disorder, highlighting the need for a systemic and comprehensive approach to patient care. Simple and accessible markers—such as ANA titers, disease duration, albumin levels, and ESRs—may help to identify patients at greater risk. Full article

(This article belongs to the Section Immunology)

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9 pages, 246 KiB

Open AccessArticle

Unwanted Consensual Sex Among College Students: What Makes an Individual More Likely to Consent to Sex They Do Not Want?

by Kathryn J. Barnhart, Katelin E. Leahy and Mikhila N. Wildey

Behav. Sci. 2025, 15(7), 981; https://doi.org/10.3390/bs15070981 (registering DOI) - 19 Jul 2025

Abstract

Sexual consent is essential, but in some instances an individual may consent to sexual behaviors that are unwanted. The likelihood of unwanted consensual sex may be influenced by multiple social and individual factors. The current study examined engagement in unwanted consensual sex based [...] Read more.

Sexual consent is essential, but in some instances an individual may consent to sexual behaviors that are unwanted. The likelihood of unwanted consensual sex may be influenced by multiple social and individual factors. The current study examined engagement in unwanted consensual sex based on demographics, relationship and/or hookup history, and sexual communication characteristics among college students. This cross-sectional study was conducted utilizing a random sample of college students at one midwestern university. Data was collected via an online survey, including questions about sexual behavior, communication, and sexual consent. Basic frequencies and bivariate and multivariate analyses were conducted. This random sample included 1263 undergraduate students. Level of comfort communicating about sex was negatively associated with unwanted consensual sex. Gender was significantly associated with the likelihood of unwanted consensual sex and was a significant predictor of unwanted consensual sex among this sample. Unwanted consensual sex may vary based on individual characteristics, like gender. The current findings may help guide future studies on unwanted consensual sex, as well as continued sex education programming on college campuses to increase comfort when communicating about sexual behaviors. Full article

(This article belongs to the Special Issue Psychological Research on Sexual and Social Relationships)

23 pages, 8957 KiB

Open AccessArticle

Geometallurgical Cluster Creation in a Niobium Deposit Using Dual-Space Clustering and Hierarchical Indicator Kriging with Trends

by João Felipe C. L. Costa, Fernanda G. F. Niquini, Claudio L. Schneider, Rodrigo M. Alcântara, Luciano N. Capponi and Rafael S. Rodrigues

Minerals 2025, 15(7), 755; https://doi.org/10.3390/min15070755 (registering DOI) - 19 Jul 2025

Abstract

Alkaline carbonatite complexes are formed by magmatic, hydrothermal, and weathering geological events, which modify the minerals present in the rocks, resulting in ores with varied metallurgical behavior. To better spatially distinguish ores with distinct plant responses, creating a 3D geometallurgical block model was [...] Read more.

Alkaline carbonatite complexes are formed by magmatic, hydrothermal, and weathering geological events, which modify the minerals present in the rocks, resulting in ores with varied metallurgical behavior. To better spatially distinguish ores with distinct plant responses, creating a 3D geometallurgical block model was necessary. To establish the clusters, four different algorithms were tested: K-Means, Hierarchical Agglomerative Clustering, dual-space clustering (DSC), and clustering by autocorrelation statistics. The chosen method was DSC, which can consider the multivariate and spatial aspects of data simultaneously. To better understand each cluster’s mineralogy, an XRD analysis was conducted, shedding light on why each cluster performs differently in the plant: cluster 0 contains high magnetite content, explaining its strong magnetic yield; cluster 3 has low pyrochlore, resulting in reduced flotation yield; cluster 2 shows high pyrochlore and low gangue minerals, leading to the best overall performance; cluster 1 contains significant quartz and monazite, indicating relevance for rare earth elements. A hierarchical indicator kriging workflow incorporating a stochastic partial differential equation (SPDE) trend model was applied to spatially map these domains. This improved the deposit’s circular geometry reproduction and better represented the lithological distribution. The elaborated model allowed the identification of four geometallurgical zones with distinct mineralogical profiles and processing behaviors, leading to a more robust model for operational decision-making. Full article

(This article belongs to the Special Issue Geostatistical Methods and Practices for Specific Ore Deposits)

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20 pages, 3551 KiB

Open AccessArticle

Corrosion Inhibition of C38 Steel in 1M HCl Using Benzoxazole-2-Thione: Electrochemical, SEM-EDX, and Theoretical Studies

by Mohamed Omari, Khalid Bouiti, Said Jebbari, Nabil Lahrache, Ali Barhoumi, Najoua Labjar, Souad El Hajjaji, Mahado Said-Ahmed, Mounim Lebrini, Hamid Nasrellah, Mohammed El Idrissi and Abdessamad Tounsi

Metals 2025, 15(7), 810; https://doi.org/10.3390/met15070810 (registering DOI) - 19 Jul 2025

Abstract

This study explores the corrosion inhibition of C38 steel in a 1 M hydrochloric acid (HCl) solution using a novel benzoxazole-2-thione compound. The inhibitor was synthesized and structurally characterized by both ¹H NMR (DMSO-d₆/TMS) and ¹³C NMR spectroscopy. Electrochemical [...] Read more.

This study explores the corrosion inhibition of C38 steel in a 1 M hydrochloric acid (HCl) solution using a novel benzoxazole-2-thione compound. The inhibitor was synthesized and structurally characterized by both ¹H NMR (DMSO-d₆/TMS) and ¹³C NMR spectroscopy. Electrochemical techniques, including Tafel polarization and electrochemical impedance spectroscopy, were employed to evaluate the inhibition performance. The results indicate that the benzoxazole-2-thione significantly reduces the corrosion rate, achieving a maximum inhibition efficiency of 95.25% at a concentration of 10⁻⁴ M. To gain deeper insights into the inhibition mechanism, theoretical methods such as density functional theory, Monte Carlo simulations, and molecular dynamics were applied to investigate the adsorption behavior of the compound on the steel surface. The adsorption process follows the Langmuir isotherm model, suggesting the coexistence of physisorption and chemisorption interactions. Surface morphology and elemental composition analyses using scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy (SEM-EDX) confirm the formation of a protective inhibitor film on the steel surface. Full article

(This article belongs to the Special Issue Feature Paper Collection of “Current Challenges in Corrosion Research" (2nd Edition))

13 pages, 311 KiB

Open AccessArticle

An Evaluation of Polish Women’s Knowledge of Perineal Incision: A Cross-Sectional Study

by Romana Buchert, Katarzyna Wszołek, Kinga Bednarek, Marcin Wierzchowski, Maciej Wilczak and Karolina Chmaj-Wierzchowska

J. Clin. Med. 2025, 14(14), 5142; https://doi.org/10.3390/jcm14145142 (registering DOI) - 19 Jul 2025

Abstract

Background/Objectives: A perineal incision (episiotomy) is a surgical procedure involving the controlled cutting of perineal tissues to widen the vaginal outlet during the second stage of labor. The aim of this study was to assess Polish women’s knowledge regarding perineal incision. Methods [...] Read more.

Background/Objectives: A perineal incision (episiotomy) is a surgical procedure involving the controlled cutting of perineal tissues to widen the vaginal outlet during the second stage of labor. The aim of this study was to assess Polish women’s knowledge regarding perineal incision. Methods: This study was conducted using an unvalidated, anonymous questionnaire created in Google Forms. Results: Women with higher education, those who had undergone childbirth, and those who identified the Internet, medical personnel, medical personnel on social media, and medical journals as sources had significantly higher levels of knowledge. Respondents aged 25 years or younger had significantly lower knowledge levels compared to those aged over 26. Additionally, respondents living in cities with populations of up to 500,000 had significantly lower levels of knowledge compared to women living in larger cities. Conclusions: The level of women’s knowledge about perineal incision varies and is influenced by several factors. Significant determinants of higher levels of knowledge were higher education, having a history of obstetric delivery, being over 25 years old, and using information provided by medical personnel, including those present on social media. Full article

(This article belongs to the Special Issue Clinical Challenges in Obstetrics and Gynecology: Interactions Between Gynecological and Obstetric Disorders, Quality of Life, and Mental Health in Women)

24 pages, 6323 KiB

Open AccessArticle

Study on Creep Characteristics of High-Volume Fly Ash-Cement Backfill Considering Initial Damage

by Shuokang Wang, Jingjing Yan, Zihui Dong, Hua Guo, Yuanzhong Yang and Naseer Muhammad Khan

Minerals 2025, 15(7), 759; https://doi.org/10.3390/min15070759 (registering DOI) - 19 Jul 2025

Abstract

To reveal the long-term deformation behavior of high-volume fly ash-based backfill under continuous mining and backfilling, a fly ash–cement backfill material with 73.0% fly ash content was developed, and creep characteristic tests considering initial damage were conducted. The results demonstrate that: (1) A [...] Read more.

To reveal the long-term deformation behavior of high-volume fly ash-based backfill under continuous mining and backfilling, a fly ash–cement backfill material with 73.0% fly ash content was developed, and creep characteristic tests considering initial damage were conducted. The results demonstrate that: (1) A calculation method for the initial damage of backfill based on stress–strain hysteresis loop cycles is proposed, with cumulative characteristics of initial damage across mining phases analyzed; (2) Creep behaviors of backfill affected by initial damage are investigated, revealing the weakening effect of initial damage on long-term bearing capacity; (3) An enhanced, nonlinear plastic damage element is developed, enabling the construction of an HKBN constitutive model capable of characterizing the complete creep behavior of backfill materials. The research establishes a theoretical framework for engineering applications of backfill materials with early-age strength below 5 MPa, while significantly enhancing the utilization efficiency of coal-based solid wastes. Full article

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23 pages, 1005 KiB

Open AccessSystematic Review

Reflexivity and Emotion at Work: A Systematic Review

by Eleonora Cova and Maria Luisa Farnese

Psychol. Int. 2025, 7(3), 64; https://doi.org/10.3390/psycholint7030064 (registering DOI) - 19 Jul 2025

Abstract

Reflexivity is a metacognitive process traditionally applied to tasks and actions. Although emotions are a significant component of work life, the application of reflexivity to the emotional domain has received limited attention. This study addresses this gap by critically reviewing empirical evidence on [...] Read more.

Reflexivity is a metacognitive process traditionally applied to tasks and actions. Although emotions are a significant component of work life, the application of reflexivity to the emotional domain has received limited attention. This study addresses this gap by critically reviewing empirical evidence on reflexivity and emotions, aiming to understand this relationship and its outcomes in the workplace. A systematic literature review on Scopus and PsycINFO identified 722 records resulting in a final sample of 15 studies that met the PICO inclusion criteria and were included. These studies were analyzed according to recursively developed criteria. The findings showed that reflexivity affects emotions by considering them as the application domain; emotions, in turn, can trigger reflexivity. The outcomes of this relationship concern organizational learning and the workers’ role and identity. This relationship was more frequently investigated in high-emotion professional contexts and with a focus on specific professional roles. Due to the limited number of studies, the findings cannot be generalized. However, this study helps to define the role of reflexivity as a metacognitive competence applicable to emotions. Developing reflexivity within professional and organizational settings may help professionals regulate their own and others’ emotions by learning to detect, make sense of, and question critical emotional episodes. Full article

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25 pages, 1802 KiB

Open AccessArticle

Dynamic Control of Coating Accumulation Model in Non-Stationary Environment Based on Visual Differential Feedback

by Chengzhi Su, Danyang Yu, Wenyu Song, Huilin Tian, Haifeng Bao, Enguo Wang and Mingzhen Li

Coatings 2025, 15(7), 852; https://doi.org/10.3390/coatings15070852 (registering DOI) - 19 Jul 2025

Abstract

To address the issue of coating accumulation model failure in unstable environments, this paper proposes a dynamic control method based on visual differential feedback. An image difference model is constructed through online image data modeling and real-time reference image feedback, enabling real-time correction [...] Read more.

To address the issue of coating accumulation model failure in unstable environments, this paper proposes a dynamic control method based on visual differential feedback. An image difference model is constructed through online image data modeling and real-time reference image feedback, enabling real-time correction of the coating accumulation model. Firstly, by combining the Arrhenius equation and the Hagen–Poiseuille equation, it is demonstrated that pressure regulation and temperature changes are equivalent under dataset establishment conditions, thereby reducing data collection costs. Secondly, online paint mist image acquisition and processing technology enables real-time modeling, overcoming the limitations of traditional offline methods. This approach reduces modeling time to less than 4 min, enhancing real-time parameter adjustability. Thirdly, an image difference model employing a CNN + MLP structure, combined with feature fusion and optimization strategies, achieved high prediction accuracy:  Full article

(This article belongs to the Special Issue Thermal Barrier Coatings: Materials, Processes, Properties and Applications)

22 pages, 1767 KiB

Open AccessArticle

Trace and Rare-Earth-Element Chemistry of Quartz from the Tuztaşı Low-Sulfidation Epithermal Au-Ag Deposit, Western Türkiye: Implications for Gold Exploration from Quartz Mineral Chemistry

by Fatih Özbaş, Essaid Bilal and Ahmed Touil

Minerals 2025, 15(7), 758; https://doi.org/10.3390/min15070758 (registering DOI) - 19 Jul 2025

Abstract

The Tuztaşı low-sulfidation epithermal Au–Ag deposit (Biga Peninsula,Türkiye) records a multi-stage hydrothermal history that can be interpreted through the trace and rare-earth-element (REE) chemistry of quartz. High-precision LA-ICP-MS analyses of five representative quartz samples (23 ablation spots; 10 analytically robust) reveal two fluid [...] Read more.

The Tuztaşı low-sulfidation epithermal Au–Ag deposit (Biga Peninsula,Türkiye) records a multi-stage hydrothermal history that can be interpreted through the trace and rare-earth-element (REE) chemistry of quartz. High-precision LA-ICP-MS analyses of five representative quartz samples (23 ablation spots; 10 analytically robust) reveal two fluid stages. Early fluids were cold, dilute meteoric waters (δ¹⁸O₍H₂O₎ ≈ –6.8 to +0.7‰), whereas later fluids circulated deeper, interacted with felsic basement rocks, and evolved in composition. Mineralized quartz displays marked enrichment in As (raw mean = 2 854 ± 6 821 ppm; filtered mean = 70 ± 93 ppm; one spot 16,775 ppm), K (498 ± 179 ppm), and Sb (57.8 ± 113 ppm), coupled with low Ti/Al (<0.005) and elevated Ge/Si (0.14–0.65 µmol mol⁻¹). Chondrite-normalized REE patterns show pronounced but variable LREE enrichment ((La/Yb)_n ≤ 45.3; ΣLREE/ΣHREE up to 10.8) and strongly positive Eu anomalies (δEu ≤ 9.3) with slightly negative Ce anomalies (δCe ≈ 0.29); negligible Ce–Eu covariance (r² ≈ 0.05) indicates discrete redox pulses. These signatures indicate chemically evolved, reducing fluids conducive to Au–Ag deposition. By contrast, barren quartz is characterized by lower pathfinder-element contents, less fractionated REE profiles, higher Ti/Al, and weaker Eu anomalies. A composite exploration toolkit emerges: As > 700 ppm, As/Sb > 25, Ti/Al < 0.005, Ge/Si > 0.15 µmol mol⁻¹, and δEu ≫ 1 reliably identify ore-bearing zones when integrated with δ¹⁸O data and fluid-inclusion microthermometry from earlier studies on the same vein system. This study provides one of the first systematic applications of integrated trace-element and REE analysis of quartz to a Turkish low-sulfidation epithermal system, offering an applicable model for vectoring mineralization in analogous settings worldwide Full article

(This article belongs to the Section Mineral Deposits)

25 pages, 2267 KiB

Open AccessArticle

A Mechanical Fault Diagnosis Method for On-Load Tap Changers Based on GOA-Optimized FMD and Transformer

by Ruifeng Wei, Zhenjiang Chen, Qingbo Wang, Yongsheng Duan, Hui Wang, Feiming Jiang, Daoyuan Liu and Xiaolong Wang

Energies 2025, 18(14), 3848; https://doi.org/10.3390/en18143848 (registering DOI) - 19 Jul 2025

Abstract

Mechanical failures frequently occur in On-Load Tap Changers (OLTCs) during operation, potentially compromising the reliability and stability of power systems. The goal of this study is to develop an intelligent and accurate diagnostic approach for OLTC mechanical fault identification, particularly under the challenge [...] Read more.

Mechanical failures frequently occur in On-Load Tap Changers (OLTCs) during operation, potentially compromising the reliability and stability of power systems. The goal of this study is to develop an intelligent and accurate diagnostic approach for OLTC mechanical fault identification, particularly under the challenge of non-stationary vibration signals. To achieve this, a novel hybrid method is proposed that integrates the Gazelle Optimization Algorithm (GOA), Feature Mode Decomposition (FMD), and a Transformer-based classification model. Specifically, GOA is employed to automatically optimize key FMD parameters, including the number of filters (K), filter length (L), and number of decomposition modes (N), enabling high-resolution signal decomposition. From the resulting intrinsic mode functions (IMFs), statistical time domain features—peak factor, impulse factor, waveform factor, and clearance factor—are extracted to form feature vectors. After feature extraction, the resulting vectors are utilized by a Transformer to classify fault types. Benchmark comparisons with other decomposition and learning approaches highlight the enhanced performance of the proposed framework. The model achieves a 95.83% classification accuracy on the test set and an average of 96.7% under five-fold cross-validation, demonstrating excellent accuracy and generalization. What distinguishes this research is its incorporation of a GOA–FMD and a Transformer-based attention mechanism for pattern recognition into a unified and efficient diagnostic framework. With its high effectiveness and adaptability, the proposed framework shows great promise for real-world applications in the smart fault monitoring of power systems. Full article

(This article belongs to the Special Issue Fault Diagnosis and Simulations for Power Transformers, Converter Transformers, and High-Frequency Transformers)

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18 pages, 12316 KiB

Open AccessArticle

A YOLOv8n-T and ByteTrack-Based Dual-Area Tracking and Counting Method for Cucumber Flowers

by Liyang Su, Shujuan Zhang, Hongtu Zhang, Xiangsen Meng and Xiongkui He

Agronomy 2025, 15(7), 1744; https://doi.org/10.3390/agronomy15071744 (registering DOI) - 19 Jul 2025

Abstract

Accurate counting of cucumber flowers using intelligent algorithms to monitor their sex ratio is essential for intelligent facility agriculture management. However, complex greenhouse environments impose higher demands on the precision and efficiency of counting algorithms. This study proposes a dual-area counting algorithm based [...] Read more.

Accurate counting of cucumber flowers using intelligent algorithms to monitor their sex ratio is essential for intelligent facility agriculture management. However, complex greenhouse environments impose higher demands on the precision and efficiency of counting algorithms. This study proposes a dual-area counting algorithm based on an improved YOLOv8n-Track (YOLOv8n-T) and ByteTrack cascaded framework. This method accomplishes the cucumber flower counting task by detecting flower targets, tracking them frame-by-frame, and validating the count through dual-area counting. The YOLOv8n-T incorporates a Coordinate Attention (CA) mechanism and lightweight modules while optimizing the loss function, thereby improving floral feature extraction capabilities and reducing computational complexity. By integrating the ByteTrack tracking algorithm with a dual-area counting strategy, the robustness of flower counting in dynamic environments is strengthened. Experimental results show that the improved YOLOv8n-T achieves mAP and F1 scores of 86.9% and 82.1%, surpassing YOLOv8n by 3% and 2.6%, respectively, with a 0.3 G reduction in model parameters. The integrated framework achieves a detection accuracy of 82.4% for cucumber flower counting. This research provides a new method for monitoring cucumber flower sex ratios in facility agriculture, promoting the development of intelligent agricultural management. Full article

(This article belongs to the Section Precision and Digital Agriculture)

16 pages, 1096 KiB

Open AccessArticle

Genetic Differentiation of Ornamental and Fruit-Bearing Prunus laurocerasus Revealed by SSR and S-Locus Markers

by Attila Hegedűs, Péter Honfi, Sezai Ercisli, Gulce Ilhan, Endre György Tóth and Júlia Halász

Horticulturae 2025, 11(7), 854; https://doi.org/10.3390/horticulturae11070854 (registering DOI) - 19 Jul 2025

Abstract

Cherry laurel (Prunus laurocerasus) is an understudied, highly polyploid (22×) species that is widely used as an ornamental shrub and as a fruit-bearing plant in Türkiye. We analyzed 43 accessions—33 ornamental cultivars and 10 fruit-bearing selections—by examining size variations in 10 [...] Read more.

Cherry laurel (Prunus laurocerasus) is an understudied, highly polyploid (22×) species that is widely used as an ornamental shrub and as a fruit-bearing plant in Türkiye. We analyzed 43 accessions—33 ornamental cultivars and 10 fruit-bearing selections—by examining size variations in 10 simple sequence repeat (SSR) markers and the first intron region of the self-incompatibility ribonuclease (S-RNase) gene. A total of 498 alleles were detected across 11 loci, with the highest number of alleles observed at the S-locus. The SSR loci amplified between 4 (ASSR63) and 17 (BPPCT039) alleles per accession, with eight of the 11 primers generating more than 12 alleles per accession. Two markers, BPPCT040 and CPSCT021, uniquely distinguished all tested accessions. Of the alleles, only 178 (36%) were shared between the ornamental and fruit-bearing groups, reflecting significant genetic differentiation. A dendrogram and principal coordinate analysis revealed three distinct groups. Group 1 included most Hungarian and some European cultivars. Groups 2 (Western European cultivars) and 3 (Turkish selections) exhibited higher average allele numbers, suggesting greater genetic diversity in these groups. Our results indicate that cultivated cherry laurels originate from a broad genetic base and show clear genetic divergence between ornamental and fruit-bearing selections, likely due to differing long-term selection pressures. The observed genetic variability is consistent with the polyploid nature of the species and supports the presumed self-incompatible phenotype. This is the first study to report SSR fingerprints for ornamental cultivars and fruit-bearing selections, providing a potential tool for use in breeding programs. Full article

(This article belongs to the Special Issue Breeding of Ornamental Plants—Genetic Resources, New Challenges and Prospects: 2nd Edition)

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34 pages, 15936 KiB

Open AccessEssay

Study on Urban System Relationships and Resilience Promotion Strategies in Underdeveloped Mountainous Areas Based on Social Network Analysis: A Case Study of Qiandongnan Miao and Dong Autonomous Prefecture

by Huayan Yuan, Jinyu Fan, Jie Luo, Rui Ren and Hai Li

Land 2025, 14(7), 1500; https://doi.org/10.3390/land14071500 (registering DOI) - 19 Jul 2025

Abstract

Urban systems are the spatial carriers of social and economic relations at the regional level, and their relational and structural resilience are key to regional coordination and sustainable development, attracting widespread attention from scholars. In order to analyze the internal relationships of urban [...] Read more.

Urban systems are the spatial carriers of social and economic relations at the regional level, and their relational and structural resilience are key to regional coordination and sustainable development, attracting widespread attention from scholars. In order to analyze the internal relationships of urban agglomerations in underdeveloped mountainous regions and optimize their spatial resource allocation and resilience, this study takes the urban agglomeration of Qiandongnan in China as an example and researches their internal relationships, development potential, and influencing factors based on quantitative methods such as social network analysis. The results show that the urban cluster in Qiandongnan presents “large dispersion and small aggregation” distribution characteristics, with the karst landscape as the main influencing factor; the spatial network exhibits a scale-free morphology with an obvious core–periphery structure, demonstrating moderate stability but poor completeness, weak equilibrium, and low overall resilience; only 15.61% of nodes demonstrate high competitiveness; urban units with functional roles serve as critical network nodes; urban units’ development potential is divided into three tiers (with 47.31% being medium-high), although overall levels remain low; and the development potential, overall network, individual network, and network resilience of urban units are all positively correlated, with economic and transportation development conditions being the main influencing factors. Based on the abovementioned findings, this study proposes a “multi-level resilience promotion path for network structure optimization”, which provides a theoretical basis and optimization control methods for the reconstruction and synergistic development of urban agglomerations. It also serves as a reference for the development planning of urban systems in other underdeveloped mountainous regions. Full article

26 pages, 2846 KiB

Open AccessArticle

A Hybrid CNN–BiLSTM Framework Optimized with Bayesian Search for Robust Android Malware Detection

by Ibrahim Mutambik

Systems 2025, 13(7), 612; https://doi.org/10.3390/systems13070612 (registering DOI) - 19 Jul 2025

Abstract

With the rapid proliferation of Android smartphones, mobile malware threats have escalated significantly, underscoring the need for more accurate and adaptive detection solutions. This work proposes an innovative deep learning hybrid model that combines Convolutional Neural Networks (CNNs) with Bidirectional Long Short-Term Memory [...] Read more.

With the rapid proliferation of Android smartphones, mobile malware threats have escalated significantly, underscoring the need for more accurate and adaptive detection solutions. This work proposes an innovative deep learning hybrid model that combines Convolutional Neural Networks (CNNs) with Bidirectional Long Short-Term Memory (BiLSTM) networks for learning both local features and sequential behavior in Android applications. To improve the relevance and clarity of the input data, Mutual Information is applied for feature selection, while Bayesian Optimization is adopted to efficiently optimize the model’s parameters. The designed system is tested on standard Android malware datasets and achieves an impressive detection accuracy of 99.3%, clearly outperforming classical approaches such as Support Vector Machines (SVMs), Random Forest, CNN, and Naive Bayes. Moreover, it delivers strong outcomes across critical evaluation metrics like F1-score and ROC-AUC. These findings confirm the framework’s high efficiency, adaptability, and practical applicability, making it a compelling solution for Android malware detection in today’s evolving threat landscape. Full article

(This article belongs to the Special Issue Cyber Security Challenges in Complex Systems)

17 pages, 422 KiB

Open AccessArticle

Porcine Sample Type Characteristics Associated with Sequencing and Isolation of Influenza A Virus

by Daniel C. A. Moraes, Onyekachukwu H. Osemeke, Michael A. Zeller, Amy L. Baker, Gustavo S. Silva, Giovani Trevisan, Daniel C. L. Linhares and Phillip C. Gauger

Vet. Sci. 2025, 12(7), 683; https://doi.org/10.3390/vetsci12070683 (registering DOI) - 19 Jul 2025

Abstract

Understanding how sample type may influence the probability of influenza A virus (IAV) sequencing and isolation success can help improve the use of diagnostic tests and refine surveillance strategies in swine populations. The objective of this study was to evaluate the probability of [...] Read more.

Understanding how sample type may influence the probability of influenza A virus (IAV) sequencing and isolation success can help improve the use of diagnostic tests and refine surveillance strategies in swine populations. The objective of this study was to evaluate the probability of success for IAV hemagglutinin (HA) and neuraminidase (NA) Sanger sequencing and virus isolation in Madin–Darby Canine Kidney (MDCK) cells across different porcine sample types submitted to the Iowa State University Veterinary Diagnostic Laboratory (ISU VDL) from 2018 to 2024. Antemortem and postmortem sample types were selected and analyzed based on reverse transcription real-time polymerase chain reaction (RT-rtPCR) cycle threshold (Ct) values. The Ct values corresponding to 95%, 75%, and 50% probabilities of sequencing or virus isolation success were determined for each sample type. For antemortem samples, a 95% probability of success for HA Sanger sequencing on nasal swabs exhibited a Ct value of 27.8 from 1046 samples and 23.6 for NA sequencing based on 66 nasal swabs. Using oral fluids, HA and NA Sanger sequencing success was at Ct values of 27.3 from 3446 samples and 22.1 from 137 samples, respectively. For postmortem samples, lung tissue had the highest number of sequences for the HA and NA, with Ct values of 25.7 and 21.5, respectively. For a 95% probability of successful virus isolation, nasal swabs demonstrated a Ct value of 21.1 from 647 samples, while lungs had a Ct value of 18.7 from 5892 samples. This study determined that nasal swabs and lung tissue had the highest probability of IAV gene sequencing and virus isolation success, while oral fluids, a common swine diagnostic sample type that is easy to collect and welfare-friendly, can be effective for gene sequencing when using lower IAV RT-rtPCR Ct values, i.e., ≤27.3. These results provide practical expectations for successful IAV HA and NA gene sequencing and virus isolation at 95%, 75%, and 50% probabilities based on sample type and RT-rtPCR Ct values to improve diagnostic testing strategies in swine populations. Full article

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