MDPI - Publisher of Open Access Journals

15 pages, 2387 KiB

Open AccessArticle

First Preliminary Molecular Assessment of Ants from Cabo Verde

by Michael Joseph Jowers, Franco Guouman Ferreyra, Stephane Caut, José Carlos Brito and Raquel Vasconcelos

Genes 2025, 16(7), 725; https://doi.org/10.3390/genes16070725 (registering DOI) - 22 Jun 2025

Abstract

Background/Objectives: Ants are one of the most abundant animal groups on the planet and have a considerable impact on ecosystems. In the Cabo Verde Archipelago, the study of invertebrates is very scarce and ants are no exception. Methods: In this work we focus [...] Read more.

Background/Objectives: Ants are one of the most abundant animal groups on the planet and have a considerable impact on ecosystems. In the Cabo Verde Archipelago, the study of invertebrates is very scarce and ants are no exception. Methods: In this work we focus on the taxonomic analysis of formicids and study their distribution and the possible presence of invasive species in the Cabo Verde Islands. In addition, the diversity of Cabo Verde ants is compared with that of the closest African coastal countries, Senegal and Mauritania, to study a possible colonization of African ants into the archipelago. For this, we use two molecular markers, cytochrome oxidase I and the wingless gene, to perform phylogenetic analyses and haplotype networks that facilitate identification. Results: Nine taxa were identified, five invasive species, Paratrechina longicornis, Pheidole megacephala, Trichomyrmex destructor, Brachyponera sennaarensis, and Solenopsis globularia, one endemic Monomorium subopacum and three unidentified species of native genera, Monomorium sp., Lepisiota sp. Camponotus sp. Conclusions: Molecular network patterns as well as phylogenetic analyses suggest that ants are widespread throughout the archipelago, a likely consequence of human introductions. Full article

(This article belongs to the Collection Feature Papers in ‘Animal Genetics and Genomics’)

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13 pages, 2172 KiB

Open AccessArticle

A Study on Tool Breakage Detection Technology Based on Current Sensing and Non-Contact Signal Analysis

by Chia-Hung Lai, Sih-Hao Huang, Ting-En Wu and Chia-Chun Lai

Sensors 2025, 25(13), 3880; https://doi.org/10.3390/s25133880 (registering DOI) - 22 Jun 2025

Abstract

Tool breakage in CNC machining often leads to reduced productivity and increased maintenance costs. This study proposes a non-contact tool breakage detection method using spindle current signals captured by an SCT013 current sensor. The sensor easily attaches to the motor line without any [...] Read more.

Tool breakage in CNC machining often leads to reduced productivity and increased maintenance costs. This study proposes a non-contact tool breakage detection method using spindle current signals captured by an SCT013 current sensor. The sensor easily attaches to the motor line without any hardware modification and provides real-time current signals for frequency domain analysis. Fast Fourier Transform (FFT) is employed to extract spectral features, particularly focusing on high-frequency energy spikes at the moment of breakage. A total of 20 experiments were conducted, and consistent spectral anomalies were observed. Additionally, deep learning models including ANN, DNN, and CNN were compared for automated detection performance. The results indicate that the proposed system can reliably detect tool breakage by identifying frequency domain anomalies that emerge within 1–3 s after the actual event, based on processed current signals. While the inference time of deep learning models ranges from 15 to 58 s, the detection mechanism captures the breakage characteristics early in the signal, enabling timely tool condition evaluation. Full article

(This article belongs to the Special Issue Artificial Intelligence and Sensor-Enhanced Fault Diagnosis for Industrial Application)

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23 pages, 1105 KiB

Open AccessArticle

Examining Speech Perception–Production Relationships Through Tone Perception and Production Learning Among Indonesian Learners of Mandarin

by Keith K. W. Leung, Yu-An Lu and Yue Wang

Brain Sci. 2025, 15(7), 671; https://doi.org/10.3390/brainsci15070671 (registering DOI) - 22 Jun 2025

Abstract

Background: A transfer of learning effects across speech perception and production is evident in second-language (L2)-learning research, suggesting that perception and production are closely linked in L2 speech learning. However, underlying factors, such as the phonetic cue weightings given to acoustic features, of [...] Read more.

Background: A transfer of learning effects across speech perception and production is evident in second-language (L2)-learning research, suggesting that perception and production are closely linked in L2 speech learning. However, underlying factors, such as the phonetic cue weightings given to acoustic features, of the relationship between perception and production improvements are less explored. To address this research gap, the current study explored the effects of Mandarin tone learning on the production and perception of critical (pitch direction) and non-critical (pitch height) perceptual cues. Methods: This study tracked the Mandarin learning effects of Indonesian adult learners over a four-to-six-week learning period. Results: We found that perception and production gains in Mandarin L2 learning concurrently occurred with the critical pitch direction cue, F0 slope. The non-critical pitch height cue, F0 mean, only displayed a production gain. Conclusions: The results indicate the role of critical perceptual cues in relating tone perception and production in general, and in the transfer of learning effects across the two domains for L2 learning. These results demonstrate the transfer of the ability to perceive phonological contrasts using critical phonetic information to the production domain based on the same cue weighting, suggesting interconnected encoding and decoding processes in L2 speech learning. Full article

(This article belongs to the Special Issue Language Perception and Processing)

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12 pages, 1111 KiB

Open AccessArticle

Structure–Function Relationship of Novel Tetrakis (Mercapto-Terphenyl)Benzene Cobalt (II) Phthalocyanines: Synthesis and Computational Evaluation

by Sevil Sener and Nursel Acar-Selcuki

Molecules 2025, 30(13), 2693; https://doi.org/10.3390/molecules30132693 (registering DOI) - 22 Jun 2025

Abstract

This study introduces a newly synthesized Co(II) phthalocyanine complex (Co-Pc, 4) incorporating two (mercapto-terphenyl)thio-dione substituents, along with a detailed exploration of its structural, spectroscopic, and binding characteristics. The key precursor, 4-[(4′′-mercapto-[1,1′:4′,1′′-terphenyl]-4-yl)thio]phthalonitrile (compound 3), was first obtained and subsequently used to construct [...] Read more.

This study introduces a newly synthesized Co(II) phthalocyanine complex (Co-Pc, 4) incorporating two (mercapto-terphenyl)thio-dione substituents, along with a detailed exploration of its structural, spectroscopic, and binding characteristics. The key precursor, 4-[(4′′-mercapto-[1,1′:4′,1′′-terphenyl]-4-yl)thio]phthalonitrile (compound 3), was first obtained and subsequently used to construct the phthalocyanine macrocycle through cyclotetramerization in the presence of cobalt and zinc salts under heat and vacuum in dimethylformamide. The resulting compounds (3 and 4) were characterized using a comprehensive array of analytical techniques, including elemental analysis, UV–Vis spectroscopy, FT-IR, ¹H-NMR, and Q-TOF mass spectrometry. Additionally, density functional theory (DFT) and time-dependent DFT (TD-DFT) calculations were employed to elucidate the electronic structure and geometrical features of Co-Pc 4, providing theoretical support for the experimental findings. The integration of theoretical and experimental findings provides in-depth insight into the electronic behavior and reactivity of compound 4, highlighting its promise as a candidate for photovoltaic applications. Further studies may investigate how structural modifications influence these properties, potentially leading to improved device performance. Full article

(This article belongs to the Section Computational and Theoretical Chemistry)

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10 pages, 293 KiB

Open AccessArticle

Oncological and Functional Outcomes of Hemi-Ablation Versus Focal Ablation for Localized Prostate Cancer Using Irreversible Electroporation

by Michel Suberville, Kai Zhang, Jean Baptiste Woillard, Isabelle Herafa, Dorothée Ducoux, Rachid Nachef, Jeremy Teoh, Gang Zhu, Chi-Fai Ng, Pilar Laguna and Jean de la Rosette

Cancers 2025, 17(13), 2084; https://doi.org/10.3390/cancers17132084 (registering DOI) - 22 Jun 2025

Abstract

Background: Irreversible electroporation (IRE) is a novel ablative treatment modality for localized prostate cancer and aims at achieving oncological control while minimizing the related side effects. We present the functional and oncological outcomes of focal IRE ablation versus hemi-ablation from a single-center [...] Read more.

Background: Irreversible electroporation (IRE) is a novel ablative treatment modality for localized prostate cancer and aims at achieving oncological control while minimizing the related side effects. We present the functional and oncological outcomes of focal IRE ablation versus hemi-ablation from a single-center patient series. Methods: Men with histologically confirmed low–intermediate risk prostate cancer received focal IRE ablation or hemi-ablation. All the patients were recommended an MRI-targeted fusion biopsy plus systematic biopsy at 1 year post-IRE ablation. The functional outcomes were measured by the International Prostate Symptom Score (IPSS) and International Index of Erectile Function (IIEF) questionnaires. Results: In total, 106 patients were recruited in this study. The median follow-up time was 24 months (IQR 15–36). Overall, 94 patients underwent repeat prostate biopsy at 12 months after IRE. Persistent tumor was detected in 72.2% in the focal ablation group and in 31% in the hemi-ablation group (p < 0.001). Clinically significant prostate cancer (Gleason ≥ 3 + 4) was detected in 25% in the focal ablation group and in 8.6% in the hemi-ablation group (p = 0.003). There was no significant difference between the two groups in terms of IPSS and IIEF at each follow-up time point. Conclusion: For men with localized low–intermediate risk prostate cancer, hemi-IRE ablation treatment displayed better oncological control than focal ablation without compromising on functional or sexual outcomes. Full article

(This article belongs to the Section Methods and Technologies Development)

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27 pages, 3386 KiB

Open AccessReview

The Multifaceted Role of VIRMA, a Core Component of the Methyltransferase Complex, in Cancer and Cancer Therapy

by Jinmeng Lu, Chengyu Zhang, Mengshuang Yin, Huili You, Chao Xiong, Jing Wu, Ying Gong, Zhangang Xiao and Jing Shen

Biomolecules 2025, 15(7), 912; https://doi.org/10.3390/biom15070912 (registering DOI) - 22 Jun 2025

Abstract

VIRMA (also known as KIAA1429), as a core regulatory subunit of the m6A methyltransferase complex, plays a key role in tumorigenesis and progression by dynamically regulating RNA methylation modifications. Studies have shown that VIRMA is aberrantly overexpressed in more than 20 types of [...] Read more.

VIRMA (also known as KIAA1429), as a core regulatory subunit of the m6A methyltransferase complex, plays a key role in tumorigenesis and progression by dynamically regulating RNA methylation modifications. Studies have shown that VIRMA is aberrantly overexpressed in more than 20 types of malignant tumors, including liver cancer, breast cancer, and lung cancer, and is significantly associated with chromosome 8q amplification and poor prognosis. Its mechanism of action involves regulating the expression of tumor-associated genes through both m6A-dependent and m6A-independent pathways, thereby promoting tumor proliferation, metastasis, and drug resistance. These findings suggest that VIRMA has the potential to serve as a pan-cancer diagnostic and prognostic biomarker. This review summarizes the role of VIRMA in malignant tumors from multiple perspectives and explores its potential applications in clinical diagnosis and treatment. Full article

(This article belongs to the Section Molecular Biology)

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21 pages, 634 KiB

Open AccessArticle

Three-Phase-Lag Effect on Rayleigh Waves in a Generalized Thermoelastic Diffusion Medium with Modified Couple Stress

by Emad K. Jaradat, Sayed M. Abo-Dahab, Rajneesh Kumar and Eslam S. Elidy

Crystals 2025, 15(7), 588; https://doi.org/10.3390/cryst15070588 (registering DOI) - 22 Jun 2025

Abstract

This study examines the behavior of Rayleigh waves propagating through a homogeneous, isotropic material, analyzed using a three-phase-lag thermoelastic diffusion framework enhanced by modified couple stress theory. The mathematical model integrates coupled thermoelastic and diffusive effects, incorporating phase-lags associated with (1) temperature gradients, [...] Read more.

This study examines the behavior of Rayleigh waves propagating through a homogeneous, isotropic material, analyzed using a three-phase-lag thermoelastic diffusion framework enhanced by modified couple stress theory. The mathematical model integrates coupled thermoelastic and diffusive effects, incorporating phase-lags associated with (1) temperature gradients, (2) heat flux, and (3) thermal displacement gradients. By solving the derived governing equations analytically subject to stress-free, thermally insulated, and impermeable boundary conditions, we obtain the characteristic secular equation for Rayleigh wave propagation. Numerical simulations conducted on a copper medium evaluate how the secular equation’s determinant, wave velocity, and attenuation coefficient vary with angular frequency. The analysis focuses particularly on the influence of phase-lag parameters, including thermal and diffusion gradients and relaxation times. Results demonstrated that increasing the displacement gradient phase-lag elevated the secular determinant but reduced wave velocity and attenuation, while temperature gradient phase-lags exhibited the opposite trend. The study highlights the sensitivity of Rayleigh wave propagation to thermo-diffusive coupling and microstructural effects, offering insights applicable to seismic wave analysis, geophysical exploration, and material processing. Comparisons with prior theories underscore the model’s advancement in capturing size-dependent and memory-dependent phenomena. Full article

10 pages, 708 KiB

Open AccessArticle

Electrodiagnostic Evaluation of Meralgia Paresthetica

by Jernej Avsenik and Simon Podnar

NeuroSci 2025, 6(3), 58; https://doi.org/10.3390/neurosci6030058 (registering DOI) - 22 Jun 2025

Abstract

Background: We aimed to determine the utility of different electrodiagnostic (EDx) methods in diagnosing meralgia paresthetica (MP). Methods: Twenty-nine MP patients and 26 controls were included. Sensory nerve action potential (SNAP) and somatosensory evoked potential (SEP) of the lateral femoral cutaneous nerve (LFCN) [...] Read more.

Background: We aimed to determine the utility of different electrodiagnostic (EDx) methods in diagnosing meralgia paresthetica (MP). Methods: Twenty-nine MP patients and 26 controls were included. Sensory nerve action potential (SNAP) and somatosensory evoked potential (SEP) of the lateral femoral cutaneous nerve (LFCN) and tibial SEPs were measured bilaterally. Results: At least one LFCN SNAP was unobtainable in 18 patients (62%) and two controls (8%). In all remaining 11 patients, SNAPs were abnormal at least unilaterally. By contrast, LFCN SEPs were recorded bilaterally in all subjects and were abnormal in 16 patients (sensitivity 48%). Patients’ tibial SEP latency was significantly larger than that of controls (p < 0.001). Conclusions: LFCN NCSs are superior to SEP in the evaluation of MP. However, SEP studies may be useful in old (>60 years) and obese subjects with unobtainable LFCN SNAP. Longer tibial SEP points to subclinical neuropathy in MP patients predisposed to LFCN entrapment. Full article

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16 pages, 1489 KiB

Open AccessReview

Caspase-14-like Proteases: An Epidermal Caspase and Its Evolutionarily Ancient Relatives

by Leopold Eckhart, Attila Placido Sachslehner, Julia Steinbinder and Heinz Fischer

Biomolecules 2025, 15(7), 913; https://doi.org/10.3390/biom15070913 (registering DOI) - 22 Jun 2025

Abstract

Caspases are a family of cysteine-dependent aspartate-directed proteases implicated in programmed cell death. Humans have eleven proteolytically active caspases, namely caspase-1 through -10 and caspase-14. The latter is expressed exclusively in epithelial cells and constitutively resides in its active form in the cornified [...] Read more.

Caspases are a family of cysteine-dependent aspartate-directed proteases implicated in programmed cell death. Humans have eleven proteolytically active caspases, namely caspase-1 through -10 and caspase-14. The latter is expressed exclusively in epithelial cells and constitutively resides in its active form in the cornified layer of the human epidermis. Molecular phylogenetics has revealed that caspase-14 belongs to a subfamily of caspases, which also includes caspase-15 and -16. The latter are evolutionarily more ancient than caspase-14 and have been lost in the phylogenetic lineage leading to humans. Here, we review the molecular properties, the species distributions, and the biological roles of caspase-14-like proteases in amniotes. In contrast to the prodomain-less caspase-14, caspase-15 contains a prodomain that is predicted to assume a pyrin fold, and caspase-16 features a prodomain with unique sequence similarity to the catalytic domain. Gene knockout in mice, evolutionary gene loss in aquatic mammals and the association of human CASP14 mutations with ichthyosis indicate that caspase-14 is associated with the barrier function of mammalian skin. Caspase-15 is able to induce apoptosis in cell culture, but its role in vivo and the role of caspase-16 are currently unknown. We propose directions for research to further characterize caspase-14-like proteases. Full article

(This article belongs to the Section Molecular Biophysics: Structure, Dynamics, and Function)

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20 pages, 4425 KiB

Open AccessArticle

Study on Similar Materials for Weakly Cemented Medium and Indoor Excavation Test

by Shanchao Hu, Lei Yang, Shihao Guo, Chenxi Zhang, Dawang Yin, Jinhao Dou and Yafei Cheng

Materials 2025, 18(13), 2948; https://doi.org/10.3390/ma18132948 (registering DOI) - 22 Jun 2025

Abstract

The escalating disasters caused by the movement of shallow buried strata in China’s western mining areas are increasingly threatening operational safety. A critical issue in ensuring secure mining practices in these areas is the creep failure of weakly cemented soft rock under low-stress [...] Read more.

The escalating disasters caused by the movement of shallow buried strata in China’s western mining areas are increasingly threatening operational safety. A critical issue in ensuring secure mining practices in these areas is the creep failure of weakly cemented soft rock under low-stress conditions. The unique particle contact mechanisms in weakly cemented mudstone, combined with the persistence of the cemented materials and the particulate matter they form, lead to mechanical responses that differ significantly from those of typical soft rocks during loading. Building on an existing multivariate linear regression equation for new similar materials, this study developed qualified weakly cemented medium similar materials, offering appropriate materials for long-term creep tests of weakly cemented formations. This was accomplished by employing orthogonal proportioning tests. The principal findings of our investigation are as follows: The new, similar material exhibits low strength and prominent creep characteristics, accurately simulating weakly cemented materials in western mining areas. The concentration of rosin–alcohol solution has a measurable impact on key parameters, such as σ_c, E, and γ in the weakly cemented similar material specimens. Furthermore, the creep characteristics of the specimens diminish progressively with an increase in the proportion of iron powder (I) and barite powder (B). The material was applied to a similar indoor model test simulating the weakly cemented material surrounding the auxiliary haulage roadway in Panel 20314 of the Gaojialiang Coal Mine, with speckle analysis employed for detailed examination. The experimental findings suggest that both the conventional mechanical properties and long-term creep characteristics of the material align with the required specifications, offering robust support for achieving optimal outcomes in the similar model test. Full article

(This article belongs to the Special Issue Advances in Material Structural Analysis: Finite Element Analysis and Numerical Modelling)

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13 pages, 242 KiB

Open AccessReview

Objective Measurement of Musculoskeletal Pain: A Comprehensive Review

by Nahum Rosenberg

Diagnostics 2025, 15(13), 1581; https://doi.org/10.3390/diagnostics15131581 (registering DOI) - 22 Jun 2025

Abstract

Background: Musculoskeletal (MSK) pain is a leading contributor to global disability and healthcare burdens. While self-reported pain scales remain the clinical standard, they are limited by subjectivity and inter-individual variability. Therefore, objective assessment tools are increasingly sought to enhance diagnostic precision, guide treatment, [...] Read more.

Background: Musculoskeletal (MSK) pain is a leading contributor to global disability and healthcare burdens. While self-reported pain scales remain the clinical standard, they are limited by subjectivity and inter-individual variability. Therefore, objective assessment tools are increasingly sought to enhance diagnostic precision, guide treatment, and enable reproducible research outcomes. Methods: This comprehensive narrative review synthesizes evidence from physiological, behavioral, and neuroimaging approaches used to evaluate MSK pain objectively. Emphasis is placed on autonomic biomarkers (e.g., heart rate variability, skin conductance), facial expression analysis, electromyographic methods, and functional neuroimaging modalities such as fMRI and PET. Emerging applications of artificial intelligence and multimodal diagnostic strategies are also discussed. Results: Physiological signals provide quantifiable correlations of pain-related autonomic activity but are influenced by psychological and contextual factors. Behavioral analyses, including facial action coding systems and reflex testing, offer complementary, though complex, indicators. Neuroimaging techniques have identified pain-related brain patterns, yet clinical translation is limited by variability and standardization issues. Integrative approaches show promise for improving diagnostic validity. Conclusions: Objective assessment of MSK pain remains methodologically challenging but holds substantial potential for enhancing clinical diagnostics and personalized management. Future research should focus on multimodal integration, standardization, and translational feasibility to bridge the gap between experimental tools and clinical practice. Full article

(This article belongs to the Section Medical Imaging and Theranostics)

18 pages, 591 KiB

Open AccessArticle

Examining CEO Characteristics and Carbon Emissions: A Quantile Approach to UK-Listed Firms

by Nariman Kandil, Mohamed A. K. Basuony, Mohammed Bouaddi, Hanan Elmoursy and Ahmed F. Elbayuomi

Sustainability 2025, 17(13), 5732; https://doi.org/10.3390/su17135732 (registering DOI) - 22 Jun 2025

Abstract

This study aims to empirically examine the effects of CEO characteristics (gender, nationality, multiple directorships) on the carbon emissions of UK-listed firms. We focus on understanding how these factors influence carbon emissions across the overall sample and within specific industry sectors grounded on [...] Read more.

This study aims to empirically examine the effects of CEO characteristics (gender, nationality, multiple directorships) on the carbon emissions of UK-listed firms. We focus on understanding how these factors influence carbon emissions across the overall sample and within specific industry sectors grounded on the upper echelons and stakeholder theories. We employed a quantitative research design using quantile regression analysis. Our dataset comprises 295 UK-listed firms from the STOXX 600 Index of European-listed companies, covering the period from 1999 to 2023. Data were sourced from BoardEx, Refinitiv DataStream, annual reports, and sustainability reports. Our results indicate that foreign CEOs are associated with higher carbon emissions across the overall sample of UK-listed firms, across the three levels of carbon emitters within the sensitive industries, and within low- and high-level emitters within the non-sensitive industries. CEOs with multiple directorships were found to have a significant association with higher carbon emissions, likely due to divided attention and obligations. As for the CEO gender, it is noteworthy that it has an insignificant effect on reducing carbon emissions in low emission companies within sensitive industries. In contrast, female CEOs were associated with lower carbon emissions in medium-emitting firms within non-sensitive industries. This study contributes to existing literature by employing sensitivity analysis (sensitive sectors and non-sensitive). The study also employs a novel econometric technique, quantile regression, which provides a comprehensive understanding of the relationship between independent and dependent variables across different points of the distribution. Full article

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15 pages, 1351 KiB

Open AccessArticle

A Machine Learning-Based Detection for Parameter Tampering Vulnerabilities in Web Applications Using BERT Embeddings

by Sun Young Yun and Nam-Wook Cho

Symmetry 2025, 17(7), 985; https://doi.org/10.3390/sym17070985 (registering DOI) - 22 Jun 2025

Abstract

The widespread adoption of web applications has led to a significant increase in the number of automated cyberattacks. Parameter tampering attacks pose a substantial security threat, enabling privilege escalation and unauthorized data exfiltration. Traditional pattern-based detection tools exhibit limited efficacy against such threats, [...] Read more.

The widespread adoption of web applications has led to a significant increase in the number of automated cyberattacks. Parameter tampering attacks pose a substantial security threat, enabling privilege escalation and unauthorized data exfiltration. Traditional pattern-based detection tools exhibit limited efficacy against such threats, as identical parameters may produce varying response patterns contingent on their processing context, including security filtering mechanisms. This study proposes a machine learning-based detection model to address these limitations by identifying parameter tampering vulnerabilities through a contextual analysis. The training dataset aggregates real-world vulnerability cases collected from web crawls, public vulnerability databases, and penetration testing reports. The Synthetic Minority Over-sampling Technique (SMOTE) was employed to address the data imbalance during training. Recall was adopted as the primary evaluation metric to prioritize the detection of true vulnerabilities. Comparative analysis showed that the XGBoost model demonstrated superior performance and was selected as the detection model. Validation was performed using web URLs with known parameter tampering vulnerabilities, achieving a detection rate of 73.3%, outperforming existing open-source automated tools. The proposed model enhances vulnerability detection by incorporating semantic representations of parameters and their values using BERT embeddings, enabling the system to learn contextual characteristics beyond the capabilities of pattern-based methods. These findings suggest the potential of the proposed method for scalable, efficient, and automated security diagnostics in large-scale web environments. Full article

(This article belongs to the Section Computer)

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28 pages, 6169 KiB

Open AccessArticle

FairChain: A Trusted and Transparent Blockchain-Based Ecosystem for Drug Development for Nagoya Protocol Implementation

by Shada AlSalamah, Shaima A. Alnehmi, Anfal A. Abanumai, Asmaa H. Alnashri, Sara S. Alduhim, Norah A. Alnamlah, Khulood AlGhamdi, Haytham A. Sheerah, Sara A. Alsalamah and Hessah A. Alsalamah

Electronics 2025, 14(13), 2527; https://doi.org/10.3390/electronics14132527 (registering DOI) - 22 Jun 2025

Abstract

The coronavirus pandemic has spread globally, affecting over 700 million people and resulting in over 7 million deaths. In response, global pharmaceutical companies and disease control centers have urgently sought effective treatments and vaccines. However, the rise of counterfeit drugs has become a [...] Read more.

The coronavirus pandemic has spread globally, affecting over 700 million people and resulting in over 7 million deaths. In response, global pharmaceutical companies and disease control centers have urgently sought effective treatments and vaccines. However, the rise of counterfeit drugs has become a significant concern amid this urgency. To standardize the legal provision and usage of genetic resources, the United Nations Development Program (UNDP) introduced the Nagoya Protocol. Despite advancements in drug research, the production process remains tedious, complex and vulnerable to fraud. FairChain addresses this pressing challenge by creating a transparent ecosystem that builds trust among all stakeholders throughout the Drug Development Life Cycle (DDLC) by using decentralized, immutable, and transparent blockchain technology. This makes FairChain the first digital health tool to implement the principles of the UNDP’s Nagoya Protocol among all stakeholders throughout all DDLC stages, starting with sample collection, to discovery and development, to preclinical research, to clinical development, to regulator review, and ending with post-market monitoring. Therefore, FairChain allows pharmaceutical companies to document the entire drug production process, landowners to monitor bio-samples from their land, doctors to share clinical research, and regulatory agencies such as the Food and Drug Authority to oversee samples and authorize production. FairChain should enhance transparency, foster trust and efficiency, and ensure a fair and traceable DDLC. To date, no blockchain-based framework has addressed the integration of traceability, auditability, and Nagoya Protocol compliance within a unified system architecture. This paper introduces FairChain, a system that formalizes these requirements in a modular, policy-aligned, and verifiable digital trust infrastructure. Full article

(This article belongs to the Section Computer Science & Engineering)

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18 pages, 3704 KiB

Open AccessArticle

BTEX-K Ameliorates Rheumatoid Arthritis Through Regulating the NF-κB and PPAR-γ Signaling Pathways in Incomplete Freund’s Adjuvant-Induced Arthritis Mice

by Joonpyo Hong, Jin-Ho Lee, Ga Young Lee, Jin-Hwan Oh, Hana Lee, Han Sung Kim and Tack-Joong Kim

Biomedicines 2025, 13(7), 1524; https://doi.org/10.3390/biomedicines13071524 (registering DOI) - 22 Jun 2025

Abstract

Background/Objectives: Degenerative arthritis is a chronic inflammatory disease marked by tissue degradation and vascular fibrosis. Macrophages play a central role in the inflammatory response by releasing mediators such as nitric oxide (NO), interleukin (IL)-6, tumor necrosis factor alpha (TNF-α), and prostaglandin E2 [...] Read more.

Background/Objectives: Degenerative arthritis is a chronic inflammatory disease marked by tissue degradation and vascular fibrosis. Macrophages play a central role in the inflammatory response by releasing mediators such as nitric oxide (NO), interleukin (IL)-6, tumor necrosis factor alpha (TNF-α), and prostaglandin E2 (PGE2). This study aimed to investigate the anti-inflammatory potential of BTEX-K, a formulation of dried red ginseng combined with alpha-galactosidase, in lipopolysaccharide (LPS)-stimulated cells. Methods: LPS-treated immune cells were used to assess the anti-inflammatory effects of BTEX-K. The levels of NO, IL-6, TNF-α, and PGE2 were measured following BTEX-K treatment. The protein expression of inducible nitric oxide synthase (iNOS) and cyclooxygenase-2 (COX-2) was evaluated. Cytotoxicity assays were conducted to determine whether the observed effects were due to cell viability loss. The involvement of MAPK signaling and NF-κB pathway modulation was examined by analyzing JNK phosphorylation, IκB degradation, and PPAR-γ expression. Results: BTEX-K significantly reduced the production of NO, IL-6, TNF-α, and PGE2 in LPS-treated cells without inducing cytotoxicity. The protein expression levels of iNOS and COX-2 were also suppressed. Furthermore, BTEX-K inhibited the LPS-induced phosphorylation of JNK in the MAPK pathway. It restored IκB levels and suppressed NF-κB activation by preventing the downregulation of PPAR-γ. Conclusions: BTEX-K demonstrates notable anti-inflammatory effects by inhibiting key inflammatory mediators and signaling pathways in immune cells. These findings support its therapeutic potential in mitigating inflammation-related symptoms, including pain, swelling, and redness, commonly seen in degenerative arthritis. Full article

(This article belongs to the Section Cell Biology and Pathology)

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19 pages, 4731 KiB

Open AccessArticle

The Evaluation of Potential Anticancer Activity of Meloxicam—In Vitro Study on Amelanotic and Melanotic Melanoma

by Marta Karkoszka-Stanowska, Zuzanna Rzepka and Dorota Wrześniok

Int. J. Mol. Sci. 2025, 26(13), 5985; https://doi.org/10.3390/ijms26135985 (registering DOI) - 22 Jun 2025

Abstract

Meloxicam (MLX), a member of the non-steroidal anti-inflammatory drugs (NSAIDs), is a preferential inhibitor of cyclooxygenase-2 (COX-2) responsible for the synthesis of pro-inflammatory prostaglandins. MLX, due to its inhibition of the COX-2 enzyme, which is overexpressed in many cancers, including melanoma, leading to [...] Read more.

Meloxicam (MLX), a member of the non-steroidal anti-inflammatory drugs (NSAIDs), is a preferential inhibitor of cyclooxygenase-2 (COX-2) responsible for the synthesis of pro-inflammatory prostaglandins. MLX, due to its inhibition of the COX-2 enzyme, which is overexpressed in many cancers, including melanoma, leading to rapid growth, angiogenesis, and metastasis, represents a potentially important compound with anticancer activity. This study aimed to investigate the potential anticancer activity of meloxicam against amelanotic C32 and melanotic COLO 829 melanoma cell lines. The objective was achieved by assessing cell metabolic activity using the WST-1 assay and analyzing mitochondrial potential, levels of reduced thiols, annexin, and caspases 3/7, 8, and 9 by imaging cytometry, as well as assessing reactive oxygen species (ROS) levels using the H₂DCFDA probe. The amelanotic melanoma C32 was more sensitive to MLX exposure, thus exhibiting antiproliferative effects, a disruption of redox homeostasis, a reduction in mitochondrial potential, and an induction of apoptosis. The results provide robust molecular evidence supporting the pharmacological effects of MLX, highlighting its potential as a valuable agent for in vivo melanoma treatment. Full article

(This article belongs to the Special Issue Molecular Biology of Cancer—Implications for Diagnosis and Treatment: 3rd Edition)

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29 pages, 2086 KiB

Open AccessReview

Impact of Temperature Stresses on Wheat Quality: A Focus on Starch and Protein Composition

by Pei Han, Yaping Wang and Hui Sun

Foods 2025, 14(13), 2178; https://doi.org/10.3390/foods14132178 (registering DOI) - 22 Jun 2025

Abstract

With climate change, maintaining wheat quality has become essential for the functional properties, end-use, commodity value, and nutritional benefits of wheat flour. Temperature indirectly influences wheat quality by modulating grain size, starch and protein content, and the balance between these components. This review [...] Read more.

With climate change, maintaining wheat quality has become essential for the functional properties, end-use, commodity value, and nutritional benefits of wheat flour. Temperature indirectly influences wheat quality by modulating grain size, starch and protein content, and the balance between these components. This review systematically analyzes temperature-mediated alterations in wheat grain quality, with particular emphasis on the two core components: starch and protein. Specifically, daytime warming generally increases protein content while reducing starch accumulation; however, temperatures exceeding 30 °C diminish key protein quality parameters (UPP%, Glu/Gli ratio, HMW-GS/LMW-GS ratio). Nighttime warming enhances protein quality but compromises starch content and yield potential. Conversely, under low-temperature conditions, starch content declines, whereas protein content is primarily influenced by genotypes and treated temperatures. Furthermore, the underlying mechanisms driving temperature-induced changes in wheat quality traits are discussed. However, the mechanisms of temperature effects have not been fully elucidated, and the results often vary between regions or over years. Thus, identifying conserved high/low-temperature resistance genes, QTLs, epialleles, and epiQTL, as well as developing corresponding molecular markers and epi-markers, is an urgent priority. Meanwhile, genome-editing tools such as CRISPR/Cas could serve as a powerful approach for creating new wheat germplasm with durable high/low-temperature resistance. Full article

(This article belongs to the Special Issue Advancing Research on Quality and Nutrition in Cereals and Cereal-Based Foods)

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27 pages, 4210 KiB

Open AccessArticle

Efficient Fault Diagnosis of Elevator Cabin Door Drives Using Machine Learning with Data Reduction for Reliable Transmission

by Jakub Gęca, Dariusz Czerwiński, Bartosz Drzymała and Krzysztof Kolano

Appl. Sci. 2025, 15(13), 7017; https://doi.org/10.3390/app15137017 (registering DOI) - 22 Jun 2025

Abstract

This article addresses the issue of the elevator cabin door drive system failure diagnosis. The analyzed component is one of the most critical and the most vulnerable part of the entire elevator. Existing solutions in the literature include methods such as spectral analysis [...] Read more.

This article addresses the issue of the elevator cabin door drive system failure diagnosis. The analyzed component is one of the most critical and the most vulnerable part of the entire elevator. Existing solutions in the literature include methods such as spectral analysis of system vibrations, motor current signature analysis, fishbone diagrams, fault trees, multi-agent systems, image recognition, and machine learning techniques. However, there is a noticeable gap in comprehensive studies that specifically address classification of the multiple types of system components failures, class imbalance in the dataset, and the need to reduce data transmitted over the elevator’s internal bus. The developed diagnostic system measures the drive system’s parameters, processes them to reduce data, and classifies 11 device failures. This was achieved by constructing a test bench with a prototype cabin door drive system, identifying the most frequent system faults, developing a data preprocessing method that aggregates every driving cycle to one sample, reducing the transmitted data by 300 times, and using machine learning for modeling. A comparative analysis of the fault detection performance of seven different machine learning algorithms was conducted. An optimal cross-validation method and hyperparameter optimization techniques were employed to fine-tune each model, achieving a recall of over 97% and an F1 score approximately 97%. Finally, the developed data preparation method was implemented in the cabin door drive controller. Full article

(This article belongs to the Special Issue Industrial AI: Applications in Fault Detection, Diagnosis, and Prognosis—2nd Edition)

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13 pages, 593 KiB

Open AccessArticle

A Secondary Analysis of Caloric Restriction and Exercise Effects on Cognitive Function in Functionally Limited Postmenopausal Women with Overweight or Obesity

by Christian W. McLaren, Rebecca L. Pearl, Glenn E. Smith and Stephen D. Anton

Nutrients 2025, 17(13), 2075; https://doi.org/10.3390/nu17132075 (registering DOI) - 22 Jun 2025

Abstract

Background: Postmenopausal women face a higher risk of obesity and related chronic diseases. While lifestyle interventions improve cardiometabolic health and physical function, their effects on cognitive function remain understudied, especially in diverse populations. This study examined the impact of a lifestyle intervention combining [...] Read more.

Background: Postmenopausal women face a higher risk of obesity and related chronic diseases. While lifestyle interventions improve cardiometabolic health and physical function, their effects on cognitive function remain understudied, especially in diverse populations. This study examined the impact of a lifestyle intervention combining caloric restriction and exercise on cognitive function in a diverse sample of postmenopausal women with overweight or obesity and functional limitations. Methods: This study represents a secondary analysis of a previously conducted pilot trial, in which 34 participants were randomly assigned to a 24-week intervention: (i) caloric restriction plus exercise (CR + E; n = 17) or (ii) educational control (EC; n = 17). In the CR + E group, participants engaged in group-based weight management focused on caloric restriction and three weekly exercise sessions, including walking and lower-body resistance training. The EC group attended monthly health education lectures. Changes in cognitive scores were assessed using the Digit Symbol Substitution Test (DSST) and the Controlled Oral Word Association (COWA) test. Additionally, we explored the correlation between changes in cognitive scores and physical function in the CR + E group. Results: In the CR + E group, DSST scores significantly improved compared to the EC group (p < 0.05). There were no significant changes in COWA scores for either group compared to their baseline value or between groups. Furthermore, changes in DSST or COWA were not significantly correlated with changes in walking speed or physical function. Conclusions: The preliminary results of this study suggest that CR + E may improve complex attention in functionally limited postmenopausal women with overweight or obesity but does not appear to significantly affect verbal fluency. Full article

(This article belongs to the Special Issue Healthy Aging Through Nutrition and Exercise)

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11 pages, 651 KiB

Open AccessArticle

Prognostic Significance of Plasma Short-Chain Fatty Acid Levels in Assessing Mortality Risk in Patients with Chronic Heart Failure and Sarcopenia

by Anna V. Sokolova, Dmitrii O. Dragunov, Anastasiya V. Klimova, Yaroslav V. Golubev, Tatiana A. Shmigol, Vadim V. Negrebetsky and Gregory P. Arutyunov

Int. J. Mol. Sci. 2025, 26(13), 5984; https://doi.org/10.3390/ijms26135984 (registering DOI) - 22 Jun 2025

Abstract

Short-chain fatty acids (SCFAs) are microbial metabolites involved in immune regulation, energy metabolism, and intestinal barrier integrity. Among them, the role of hexanoic acid (C6), predominantly derived from dietary sources, remains poorly understood in chronic heart failure (CHF) and sarcopenia. A total of [...] Read more.

Short-chain fatty acids (SCFAs) are microbial metabolites involved in immune regulation, energy metabolism, and intestinal barrier integrity. Among them, the role of hexanoic acid (C6), predominantly derived from dietary sources, remains poorly understood in chronic heart failure (CHF) and sarcopenia. A total of 636 patients with confirmed CHF were screened between 2019 and 2021. Sarcopenia was diagnosed in 114 patients, with 74 meeting the inclusion criteria for analysis. Plasma levels of SCFAs—including butanoic, propanoic, isobutyric, 2- and 3-methylbutanoic, hexanoic, pentanoic, and 4-methylpentanoic acids—were measured using HPLC-MS/MS. Muscle strength, mass, and physical performance were assessed using handgrip dynamometry, bioelectrical impedance analysis, and SPPB, respectively. All patients showed elevated SCFA levels compared to reference values. Butanoic acid levels exceeded reference values by 32.8-fold, propanoic acid by 10.9-fold, and hexanoic acid by 1.09-fold. Patients with plasma hexanoic acid levels above the 50th percentile had a seven-fold increased mortality risk (OR = 7.10; 95% CI: 1.74–28.9; p < 0.01). Kaplan–Meier analysis confirmed significantly lower survival in this group (p = 0.00051). The mean left ventricular ejection fraction was 41.2 ± 7.5%, and the mean SPPB score was 6.1 ± 1.8, indicating impaired physical performance. Elevated plasma hexanoic acid is associated with poor prognosis in CHF patients with sarcopenia. These findings suggest that C6 may serve as a potential prognostic biomarker and therapeutic target in this population. Full article

(This article belongs to the Special Issue Musculoskeletal Disease: From Molecular Basis to Therapy)

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25 pages, 9677 KiB

Open AccessArticle

YOLO-SEA: An Enhanced Detection Framework for Multi-Scale Maritime Targets in Complex Sea States and Adverse Weather

by Hongmei Deng, Shuaiqun Wang, Xinyao Wang, Wen Zheng and Yanli Xu

Entropy 2025, 27(7), 667; https://doi.org/10.3390/e27070667 (registering DOI) - 22 Jun 2025

Abstract

Maritime object detection is essential for resource monitoring, maritime defense, and public safety, yet detecting diverse targets beyond ships remains challenging. This paper presents YOLO-SEA, an efficient detection framework based on the enhanced YOLOv8 architecture. The model incorporates the SESA (SimAM-Enhanced SENetV2 Attention) [...] Read more.

Maritime object detection is essential for resource monitoring, maritime defense, and public safety, yet detecting diverse targets beyond ships remains challenging. This paper presents YOLO-SEA, an efficient detection framework based on the enhanced YOLOv8 architecture. The model incorporates the SESA (SimAM-Enhanced SENetV2 Attention) module, which integrates the channel-adaptive weight adjustment of SENetV2 with the parameter-free spatial-channel modeling of SimAM to enhance feature representation. An improved BiFPN (Bidirectional Feature Pyramid Network) structure enhances multi-scale fusion, particularly for small object detection. In the post-processing stage, Soft-NMS (Soft Non-Maximum Suppression) replaces traditional NMS to reduce false suppression in dense scenes. YOLO-SEA detects eight maritime object types. Experiments show it achieves a 5.8% improvement in mAP@0.5 and 7.2% improvement in mAP@0.5:0.95 over the baseline, demonstrating enhanced accuracy and robustness in complex marine environments. Full article

(This article belongs to the Special Issue Space-Air-Ground-Sea Integrated Communication Networks)

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9 pages, 200 KiB

Open AccessArticle

Use of Cangrelor in Patients Undergoing Percutaneous Coronary Intervention: Insights and Outcomes from District General Hospital

by Ibrahim Antoun, Sotirios Dardas, Falik Sher, Mueed Akram, Navid Munir, Georgia R. Layton, Mustafa Zakkar, Kamal Chitkara, Riyaz Somani and Andre Ng

Hearts 2025, 6(3), 16; https://doi.org/10.3390/hearts6030016 (registering DOI) - 22 Jun 2025

Abstract

Background/Objectives: Cangrelor, an intravenous P2Y12 inhibitor, is increasingly used during percutaneous coronary intervention (PCI) for rapid and reversible platelet inhibition in patients unable to take oral antiplatelet agents, particularly in emergencies such as ST-elevation myocardial infarction (STEMI), cardiac arrest, or cardiogenic shock. [...] Read more.

Background/Objectives: Cangrelor, an intravenous P2Y12 inhibitor, is increasingly used during percutaneous coronary intervention (PCI) for rapid and reversible platelet inhibition in patients unable to take oral antiplatelet agents, particularly in emergencies such as ST-elevation myocardial infarction (STEMI), cardiac arrest, or cardiogenic shock. This single-centre study evaluates cangrelor and outcomes in a non-surgical centre. Methods: Between June 2017 and December 2021, all the patients for whom cangrelor was used at a district general hospital (DGH) in the UK were included in this study. Data collection included baseline characteristics, admission, procedural details, and patient outcomes. The primary outcome was a composite of all-cause mortality, bleeding, and cardiovascular events, including myocardial infarction, stent thrombosis, and stroke, within 48 h. Secondary outcomes included predictors of the composite outcome at 48 h. Results: During the study period, cangrelor was administered peri-procedurally to 93 patients. Males comprised 85% of the patients; the mean age was 65.5 ± 10.6 years. A total of 1 patient (1.1%) had a cardiovascular event within 48 h of cangrelor administration, whereas all-cause mortality occurred in 17 patients (18%) within 48 h. No major bleeding events were noted at 48 h following cangrelor administration. Regression analysis did not find predictors of composite outcomes at 48 h. Conclusions: Cangrelor offers a potential alternative to oral P2Y12 inhibitors in specific high-risk scenarios. Further research is needed to validate its role in broader populations. Full article

19 pages, 2831 KiB

Open AccessArticle

High Spatial Resolution Soil Moisture Mapping over Agricultural Field Integrating SMAP, IMERG, and Sentinel-1 Data in Machine Learning Models

by Diego Tola, Lautaro Bustillos, Fanny Arragan, Rene Chipana, Renaud Hostache, Eléonore Resongles, Raúl Espinoza-Villar, Ramiro Pillco Zolá, Elvis Uscamayta, Mayra Perez-Flores and Frédéric Satgé

Remote Sens. 2025, 17(13), 2129; https://doi.org/10.3390/rs17132129 (registering DOI) - 21 Jun 2025

Abstract

Soil moisture content (SMC) is a critical parameter for agricultural productivity, particularly in semi-arid regions, where irrigation practices are extensively used to offset water deficits and ensure decent yields. Yet, the socio-economic and remote context of these regions prevents sufficiently dense SMC monitoring [...] Read more.

Soil moisture content (SMC) is a critical parameter for agricultural productivity, particularly in semi-arid regions, where irrigation practices are extensively used to offset water deficits and ensure decent yields. Yet, the socio-economic and remote context of these regions prevents sufficiently dense SMC monitoring in space and time to support farmers in their work to avoid unsustainable irrigation practices and preserve water resource availability. In this context, our study addresses the challenge of high spatial resolution (i.e., 20 m) SMC estimation by integrating remote sensing datasets in machine learning models. For this purpose, a dataset made of 166 soil samples’ SMC along with corresponding SMC, precipitation, and radar signal derived from Soil Moisture Active Passive (SMAP), Integrated Multi-satellitE Retrievals for GPM (IMERG), and Sentinel-1 (S1), respectively, was used to assess four machine learning models’ (Decision Tree—DT, Random Forest—RF, Gradient Boosting—GB, Extreme Gradient Boosting—XGB) reliability for SMC mapping. First, each model was trained/validated using only the coarse spatial resolution (i.e., 10 km) SMAP SMC and IMERG precipitation estimates as independent features, and, second, S1 information (i.e., 20 m) derived from single scenes and/or composite images was added as independent features to highlight the benefit of information (i.e., S1 information) for SMC mapping at high spatial resolution (i.e., 20 m). Results show that integrating S1 information from both single scenes and composite images to SMAP SMC and IMERG precipitation data significantly improves model reliability, as R² increased by 12% to 16%, while RMSE decreased by 10% to 18%, depending on the considered model (i.e., RF, XGB, DT, GB). Overall, all models provided reliable SMC estimates at 20 m spatial resolution, with the GB model performing the best (R² = 0.86, RMSE = 2.55%). Full article

(This article belongs to the Special Issue Remote Sensing for Soil Properties and Plant Ecosystems)

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16 pages, 1587 KiB

Open AccessArticle

Role of Mediterranean Diet and Ultra-Processed Foods on Sperm Parameters: Data from a Cross-Sectional Study

by Gabriel Cosmin Petre, Francesco Francini-Pesenti, Luca De Toni, Andrea Di Nisio, Asia Mingardi, Ilaria Cosci, Nicola Passerin, Alberto Ferlin and Andrea Garolla

Nutrients 2025, 17(13), 2066; https://doi.org/10.3390/nu17132066 (registering DOI) - 21 Jun 2025

Abstract

Background/Objectives: Male infertility is multifactorial, involving genetic, environmental, lifestyle, and medical factors. Recent research has underscored the influence of lifestyle choices, such as dietary habits, smoking, alcohol abuse, and metabolic disturbances, on sperm quality. In this context, nutrition plays a pivotal role: adherence [...] Read more.

Background/Objectives: Male infertility is multifactorial, involving genetic, environmental, lifestyle, and medical factors. Recent research has underscored the influence of lifestyle choices, such as dietary habits, smoking, alcohol abuse, and metabolic disturbances, on sperm quality. In this context, nutrition plays a pivotal role: adherence to a healthy diet like the Mediterranean Diet (MD), which emphasizes seasonal, fresh, and whole foods, has been linked to improved sperm performance. Conversely, a high intake of ultra-processed foods (UPFs), characterized by additives, high levels of sugars, fats, and salt, and a nutrient-poor profile, may impair sperm quality. Methods: Based on data supporting the reproductive health benefits of the MD, this observational cross-sectional study aimed at evaluating the possible relationship between MD adherence, assessed using the 14-point a priori Mediterranean Diet Adherence Screener (MEDAS) and intake of ultra-processed foods (UPFs), based on the NOVA classification, and sperm quality in 358 individuals (mean age 34.6 ± 9.3 years) who spontaneously referred to our center of reproductive medicine. Semen analyses were performed according to the WHO 2021 criteria. Hormonal profiles (FSH, LH, testosterone, SHBG, bioavailable testosterone, and calculated free testosterone) were also determined. Results: MD adherence score was significantly and positively correlated with semen parameters, whilst negatively correlated with FSH and LH levels. In contrast, UPF intake was correlated with poor semen parameters, whilst no association was observed with hormonal levels. Multivariate analyses confirmed these associations and showed the independency from age and BMI. Notably, among men with FSH levels < 8 IU/mL, higher quartiles of UPF intake had lower markers of sperm quality, particularly for viability and typical morphology. Differently, high MD adherence scores were associated with high quality sperm parameters even when FSH levels were >8 IU/mL. Conclusions: This study provides evidence that the adherence to MD, and conversely reduced intake of ultra-processed foods, is associates with a better semen profile. These findings suggest the possible role of dietary interventions as a modifiable factor in the management of male infertility. Full article

(This article belongs to the Section Nutrition and Public Health)

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13 pages, 989 KiB

Open AccessArticle

Multi-Algorithm Feature Extraction from Dual Sections for the Recognition of Three African Redwoods

by Jiawen Sun, Jiashun Niu, Liren Xu, Jianping Sun and Linhong Zhao

Forests 2025, 16(7), 1043; https://doi.org/10.3390/f16071043 (registering DOI) - 21 Jun 2025

Abstract

To address the persistent challenge of low recognition accuracy in precious wood species classification, this study proposes a novel methodology for identifying Pterocarpus santalinus, Pterocarpus tinctorius (PTD), and Pterocarpus tinctorius (Zambia). This approach synergistically integrates artificial neural networks (ANNs) with advanced image feature [...] Read more.

To address the persistent challenge of low recognition accuracy in precious wood species classification, this study proposes a novel methodology for identifying Pterocarpus santalinus, Pterocarpus tinctorius (PTD), and Pterocarpus tinctorius (Zambia). This approach synergistically integrates artificial neural networks (ANNs) with advanced image feature extraction techniques, specifically Fast Fourier Transform, Gabor Transform, Wavelet Transform, and Gray-Level Co-occurrence Matrix. Features were extracted from both transverse and longitudinal wood sections. Fifteen distinct ANN models were subsequently developed: hybrid-section models combined features from different sections using a single algorithm, while multi-algorithm models aggregated features from the same section across all four algorithms. The dual-section hybrid wavelet model (LC4) demonstrated superior performance, achieving a perfect 100% recognition accuracy. High accuracies were also observed in the four-parameter combination models for longitudinal (L5) and transverse (C5) sections, yielding 97.62% and 91.67%, respectively. Notably, 92.31% of the LC4 model’s test samples exhibited an absolute error of ≤1%, highlighting its high reliability and precision. These findings confirm the efficacy of integrating image processing with neural networks for fine-grained wood identification and underscore the exceptional discriminative power of wavelet-based features in cross-sectional data fusion. Full article

(This article belongs to the Section Wood Science and Forest Products)

18 pages, 4829 KiB

Open AccessArticle

A Chinese Herbal Compound Fertilizer Improved the Soil Bacterial Community and Promoted the Quality of Chrysanthemum morifolium ‘Huangju’

by Hongliang Li, Hongyao Qu, Huaqiang Xuan, Bei Liu, Lixiang Zhu, Xianchao Shang, Yi Xie, Li Zhang, Long Yang, Ling Yuan, Sitakanta Pattanaik, Li Xiang and Xin Hou

Agronomy 2025, 15(7), 1512; https://doi.org/10.3390/agronomy15071512 (registering DOI) - 21 Jun 2025

Abstract

Abstract [...] Full article

(This article belongs to the Section Innovative Cropping Systems)

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