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18 pages, 1368 KB  
Review
Symptom-Specific Networks and the DBS-Modulated Network in Parkinson’s Disease: A Connectivity-Based Review
by Ransheng Huang, Kailiang Wang, Yuqing Zhang and Guoguang Zhao
Brain Sci. 2026, 16(1), 16; https://doi.org/10.3390/brainsci16010016 (registering DOI) - 23 Dec 2025
Abstract
Objectives: With the development of advanced neuroimaging techniques, including resting-state functional magnetic resonance imaging and diffusion tensor imaging, Parkinson’s disease (PD) has increasingly been recognized as a complex brain network disorder. In this review, we summarized research on brain networks in PD to [...] Read more.
Objectives: With the development of advanced neuroimaging techniques, including resting-state functional magnetic resonance imaging and diffusion tensor imaging, Parkinson’s disease (PD) has increasingly been recognized as a complex brain network disorder. In this review, we summarized research on brain networks in PD to elucidate the network abnormalities underlying its four major motor symptoms and to identify the networks modulated by deep brain stimulation (DBS). Materials and Methods: We searched PubMed and Web of Science for the most recent literature on brain network alterations in PD. Eligible studies included those investigating the general PD network (n = 10), symptom-specific networks—tremor-dominant (n = 13), postural instability and gait disorder (n = 9), freezing of gait (n = 9), akinetic-rigidity (n = 3)—as well as DBS-modulated networks (n = 14). Based on these studies, we integrated the findings and used BrainNet Viewer to generate schematic network visualizations. Results: The symptom-specific networks exhibited common abnormalities within the sensorimotor network. Evidence from DBS studies suggested that therapeutic effects were associated with modulation of the motor cortex through both functional and structural connectivity. Moreover, the four motor symptoms each demonstrated distinct network features. Specifically, the tremor network was characterized by widespread alterations in the cortico-thalamic-cerebellar circuitry; the postural instability and gait disorder network showed more severe disruptions within the striatum and visual cortex; the freezing of gait network exhibited disruptions in midbrain regions, notably the pedunculopontine nucleus; and the akinetic-rigidity network involved changes in cognition-related networks, particularly the default mode network. Conclusions: PD motor symptoms exhibit both distinct network features and shared alterations within the sensorimotor network. DBS modulates large-scale brain networks, especially motor-related networks, contributing to the alleviation of motor symptoms. Characterizing symptom-specific networks may support precision DBS target selection and parameter optimization. Full article
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14 pages, 3045 KB  
Article
Effectiveness of Ozone Treatment, Ultrasonic Treatment, and Ultraviolet Irradiation in Removing Candida albicans Adhered to Acrylic Resins Fabricated by Different Manufacturing Methods
by Chihiro Kaneko, Tomofumi Sawada, Taichi Ishikawa, Toshitaka Miura, Takuya Kobayashi and Shinji Takemoto
Materials 2026, 19(1), 53; https://doi.org/10.3390/ma19010053 (registering DOI) - 23 Dec 2025
Abstract
Acrylic resins are commonly used for denture bases due to ease of molding but are prone to water absorption and microbial contamination. This study aimed to evaluate the effects of ozonated water immersion (OZ), ultrasonic cleaning (US), and ultraviolet (UV) irradiation on the [...] Read more.
Acrylic resins are commonly used for denture bases due to ease of molding but are prone to water absorption and microbial contamination. This study aimed to evaluate the effects of ozonated water immersion (OZ), ultrasonic cleaning (US), and ultraviolet (UV) irradiation on the removal of Candida albicans from acrylic resins produced by heat curing and additive manufacturing. The resin specimens were then subjected to treatment with OZ, US, UV irradiation, and commercial denture cleansers. Following treatment, the number of viable C. albicans cells was quantified and statistically analyzed (α = 0.05), morphology was observed under a scanning electron microscope (SEM) and fluorescence imaging. OZ, US, and UV irradiation significantly reduced the viable C. albicans count. Notably, the combination of the three treatments achieved a reduction exceeding 99.9% of viable cells. Although SEM revealed that C. albicans remained on the specimens, fluorescence imaging demonstrated a progressive decrease in viable cells and an increase in dead cells with each treatment, with the greatest effect observed when the three treatments were combined. The difference of removal behaviors of C. albicans among fabrication methods was not observed, comparable to denture cleaners. The combined application of all three treatments was the most effective strategy for microbial removal. Full article
(This article belongs to the Special Issue Advances and Applications of 3D Printing and Additive Manufacturing)
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21 pages, 2543 KB  
Review
Broadband and Intense Terahertz Time-Domain Spectroscopy for Investigating Liquid Solutions
by Domenico Paparo, Anna Martinez and Andrea Rubano
Liquids 2026, 6(1), 1; https://doi.org/10.3390/liquids6010001 (registering DOI) - 23 Dec 2025
Abstract
Over the past two decades, terahertz (THz) spectroscopy has demonstrated remarkable potential for the investigation of liquids, including studies of living organisms and biological components in their natural, aqueous environments. The main advantages of THz radiation lie in its ability to interact with [...] Read more.
Over the past two decades, terahertz (THz) spectroscopy has demonstrated remarkable potential for the investigation of liquids, including studies of living organisms and biological components in their natural, aqueous environments. The main advantages of THz radiation lie in its ability to interact with collective and low-energy vibrational modes of macromolecules and microorganisms, while being non-harmful due to the low photon energy involved. These characteristics make THz spectroscopy particularly valuable for research in liquids compared to other well-established techniques such as Raman and infrared spectroscopy. In this study, we offer a concise overview and comparison of two case studies from our earlier publications, highlighting how Ultrabroadband THz spectroscopy and Intense THz Spectroscopy serve as complementary methods for advancing research in liquids. Ultrabroadband THz spectroscopy enables simultaneous probing of both intermolecular and intramolecular interactions in a single experiment. On the other hand, intense THz spectroscopy greatly simplifies the determination of the optical constants of liquid solutions, eliminating the need for additional assumptions or prior knowledge. Moreover, it offers high sensitivity, allowing the detection of dilute solutions and subtle spectral variations. Currently, these two techniques typically rely on different THz sources, as achieving both broadband coverage and high intensity in a single setup remains challenging. In fact, the experimental results reviewed here were obtained at two different times and within two distinct scientific collaborations. In particular, the intense source was accessed through a collaboration with Prof. Novelli at Ruhr University in Bochum. Integrating both capabilities into a single apparatus would be highly desirable. Therefore, we also present a theoretical investigation of a novel experimental approach that could enable combined ultrabroadband and intense THz spectroscopy, merging the strengths of both methods. Full article
(This article belongs to the Collection Feature Papers in Solutions and Liquid Mixtures Research)
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29 pages, 2906 KB  
Review
Human-Centered AI to Accelerate the SDGs: Evidence Map (2020–2024)
by Denise Helena Lombardo Ferreira, Bruno de Aguiar Normanha, Cibele Roberta Sugahara, Diego de Melo Conti, Cândido Ferreira da Silva Filho and Ernesto D. R. Santibanez-Gonzalez
Sustainability 2026, 18(1), 149; https://doi.org/10.3390/su18010149 (registering DOI) - 23 Dec 2025
Abstract
Artificial Intelligence (AI) has gained prominence on sustainability agendas while raising ethical, social, and environmental challenges. This study synthesizes evidence and maps the scientific production on Human-Centered AI (HCAI) at the interface with the Sustainable Development Goals (SDGs) for 2020–2024. Searches in Scopus [...] Read more.
Artificial Intelligence (AI) has gained prominence on sustainability agendas while raising ethical, social, and environmental challenges. This study synthesizes evidence and maps the scientific production on Human-Centered AI (HCAI) at the interface with the Sustainable Development Goals (SDGs) for 2020–2024. Searches in Scopus and Web of Science (Boolean operators; thematic and temporal filters), followed by deduplication, yielded 265 articles, which were analyzed with Bibliometrix/Biblioshiny version 5.1.1 and VOSviewer version 1.6.20 (0) to generate term co-occurrence maps, collaboration networks, and bibliographic coupling. The results indicate accelerated growth and diffusion of the topic, with journals such as Sustainability, IEEE Access, and Applied Sciences standing out. Three interdependent axes were identified: (i) technical performance, with emphasis on machine learning and deep learning; (ii) explainability and human-centeredness (XAI, ethics, and algorithmic governance); and (iii) socio-environmental applications oriented toward the SDGs. Underrepresentation of the Global South, particularly Brazil, was observed. It is concluded that HCAI is being consolidated as an emerging interdisciplinary field with potential to accelerate the SDGs, although there remains a need to integrate ethical, regional, and impact-assessment dimensions more systematically to achieve global targets effectively. Full article
(This article belongs to the Section Development Goals towards Sustainability)
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38 pages, 12212 KB  
Article
Distribution and Levels of Insulin-like Growth Factor 2 Receptor Across Mouse Brain Cell Types
by Jessica R. Gaunt, Gokul Manoj and Cristina M. Alberini
Receptors 2026, 5(1), 1; https://doi.org/10.3390/receptors5010001 (registering DOI) - 23 Dec 2025
Abstract
Background: The insulin-like growth factor 2 receptor (IGF-2R), also known as the cation-independent mannose 6-phosphate receptor (CI-M6PR), is emerging as a critical receptor for brain function and disease. IGF-2R, in fact, plays a key role in long-term memory, and its activation by several [...] Read more.
Background: The insulin-like growth factor 2 receptor (IGF-2R), also known as the cation-independent mannose 6-phosphate receptor (CI-M6PR), is emerging as a critical receptor for brain function and disease. IGF-2R, in fact, plays a key role in long-term memory, and its activation by several ligands shows beneficial effects in multiple neurodevelopmental and neurodegenerative disease models. Thus, its targeting is very promising for neuropsychiatric therapeutic interventions. IGF-2R’s main known functions are transport of lysosomal enzymes and regulation of developmental tissue growth, but in the brain, it also controls learning-dependent protein synthesis underlying long-term memory. However, little is known about this receptor in brain cells, including its cell-type-specific and subcellular expression. Methods: We conducted a comprehensive investigation to comparatively assess IGF-2R protein levels in different brain cell types across various brain regions in adult male C57BL/6J mice using dual and multiplex immunofluorescent staining with cell-type-specific markers. The IGF-2R protein distribution was also compared with Igf2r mRNA expression in publicly available single-cell RNA sequencing databases. Results: A ranking of IGF-2R levels in the soma of various cell types in the hippocampus and cortical regions revealed that the highest enrichment is, by far, in excitatory and inhibitory neurons, followed by vascular mural cells and subpopulations of oligodendrocyte lineage cells, with low to undetectable levels in astrocytes, microglia, vascular endothelial cells, and perivascular fibroblasts. High levels of IGF-2R were also found in ependymal cells, choroid plexus epithelial cells, and a subpopulation of meningeal fibroblast-like cells. IGF-2R was found in dendritic and putative axonal compartments throughout the brain, with particularly high levels in the stratum lucidum. The receptor’s protein distribution aligned with that of the mRNA in mouse brain databases. Conclusions: These results suggest that IGF-2R-mediated functions in the brain vary across different cell types and subcellular compartments, with the most active roles in specific subpopulations of neurons, mural cells, ependymal cells, meningeal cells, and cells of the oligodendrocyte lineage. This study advances our understanding of IGF-2R’s distribution in the brain, which is essential for formulating new hypotheses about its functions and therapeutic targeting. Full article
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24 pages, 557 KB  
Article
Spiritual Health in a Secular Age: Perspectives from Developmental and Positive Psychologies
by Pamela Ebstyne King
Religions 2026, 17(1), 15; https://doi.org/10.3390/rel17010015 (registering DOI) - 23 Dec 2025
Abstract
In an increasingly secular and pluralistic age marked by declining religious affiliation and rising individualized spiritual pursuits, accompanied by soaring mental health issues, the need for psychologically grounded perspectives on spiritual health is urgent. Drawing on developmental psychology, positive psychology, and psychology of [...] Read more.
In an increasingly secular and pluralistic age marked by declining religious affiliation and rising individualized spiritual pursuits, accompanied by soaring mental health issues, the need for psychologically grounded perspectives on spiritual health is urgent. Drawing on developmental psychology, positive psychology, and psychology of religion and spirituality, this article introduces the Thrive Spiritual Health Framework. Spiritual health involves experiencing and responding to a loving source of transcendence in cognitive, affective, behavioral, and relational ways, and integrating those responses into narrative identities that inform who we are and who we belong to, shape our ethical ideals, inform virtues, and orient purpose—allowing us to sustain lives of love. The framework synthesizes six interrelated facets—transcendence, habits and rhythms, relationships and community, identity and narrative, vocation and purpose, and ethics and virtues (THRIVE)—through which spirituality nurtures thriving. Each facet is contextualizable across cultural and secular settings, highlighting both opportunities and vulnerabilities of contemporary spirituality. While individualized spiritual pathways may empower autonomy and innovation, they also risk fragmentation without relational and communal support. The framework provides an empirically grounded resource for research and practice, clarifying when spirituality promotes thriving and offering guidance for spiritual innovation in pluralistic contexts. Full article
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10 pages, 320 KB  
Article
Prediction of Bone Metastasis in Prostate Cancer Using Blood Glucose-6-Phosphate Dehydrogenase Activity: A Retrospective Medical Record Review
by Chang-Hwan Yeom, Jiewon Lee, Keun-Joo Bae, Kangseok Kim, Jongsoon Choi and Myeong-Hun Lim
Cancers 2026, 18(1), 41; https://doi.org/10.3390/cancers18010041 (registering DOI) - 23 Dec 2025
Abstract
Background: Globally, the incidence of prostate cancer is estimated to increase by approximately 80% by 2040 compared to 2018. Bone is the most common metastatic site in prostate cancer and accurate prediction of bone metastasis in prostate cancer is crucial for deciding [...] Read more.
Background: Globally, the incidence of prostate cancer is estimated to increase by approximately 80% by 2040 compared to 2018. Bone is the most common metastatic site in prostate cancer and accurate prediction of bone metastasis in prostate cancer is crucial for deciding treatment decisions. The aim of this study is to evaluate the potential of G6PD activity level as a biomarker for predicting bone metastasis in patients with prostate cancer. Methods: A total of 56 patients participated in this study and participants included in the study were prostate cancer patients aged 19 years or older who visited YCH Hospital. We compared G6PD activity levels according to presence of bone metastasis. Also, ROC analysis was conducted to evaluate the predictive performance of G6PD activity level for bone metastasis. Optimal cutoff value of G6PD activity level was determined using Youden’s index and corresponding sensitivity and specificity were calculated. Results: The median G6PD activity was significantly higher in the group with bone metastasis than in the group without bone metastasis. According to ROC curve analysis, the area under the curve (AUC) was 0.78 (95% CI, 0.66–0.90). The optimal cutoff value of G6PD activity level for predicting bone metastasis was determined to be 11.5 U/g Hb. At this cutoff value, sensitivity and specificity were 0.81 and 0.73, respectively. Conclusions: G6PD activity is a complementary non-invasive biomarker for predicting bone metastasis in patients with prostate cancer. Full article
(This article belongs to the Special Issue Advancements in “Cancer Biomarkers” for 2025–2026)
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12 pages, 640 KB  
Article
Advancing Precision Rehabilitation Through a Sensor-Based 6-DoF Robotic Exoskeleton: Clinical Validation and Ergonomic Assessment
by Hande Argunsah, Begum Yalcin, Mehmet Alper Ergin, Gokay Coruhlu, Mustafa Yalcin, Volkan Patoglu and Zeynep Guven
Sensors 2026, 26(1), 88; https://doi.org/10.3390/s26010088 (registering DOI) - 23 Dec 2025
Abstract
Effective upper-extremity rehabilitation requires intensive and precise movement training, yet conventional therapies lack accurate motion tracking. Robotic exoskeletons address this limitation but are often hindered by ergonomic misalignment and limited adaptability. The AssistOn-Arm, a novel self-aligning exoskeleton, integrates ergonomic design and back-drivable actuation [...] Read more.
Effective upper-extremity rehabilitation requires intensive and precise movement training, yet conventional therapies lack accurate motion tracking. Robotic exoskeletons address this limitation but are often hindered by ergonomic misalignment and limited adaptability. The AssistOn-Arm, a novel self-aligning exoskeleton, integrates ergonomic design and back-drivable actuation to enhance comfort and facilitate natural user interaction. This study aimed to assess the usability and ergonomics of the device in healthy participants and to conduct a pilot clinical evaluation in individuals with upper-extremity impairments. Thirty healthy participants and twelve patients with shoulder impairments performed predefined tasks under participant-active and device-active conditions. Kinematic data captured concurrently with AssistOn-Arm and Xsens MVN demonstrated strong agreement between conditions. Quantitative analysis revealed no significant differences (p > 0.05) in flexion, elevation, abduction–adduction, and external rotation, indicating reliable alignment with natural joint axes. Significant differences (p < 0.05) were observed only in sagittal hyperextension and internal rotation, reflecting device mechanical constraints. The study confirms the clinical feasibility of AssistOn-Arm as a sensor-driven, self-aligning exoskeleton that bridges engineering innovation and precision rehabilitation, paving the way for its integration into clinical practice. Full article
(This article belongs to the Special Issue Sensor-Based Rehabilitation in Neurological Diseases)
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41 pages, 11576 KB  
Article
Revealing Spatiotemporal Deformation Patterns Through Time-Dependent Clustering of GNSS Data in the Japanese Islands
by Yurii Gabsatarov, Irina Vladimirova, Dmitrii Ignatev and Nadezhda Shcheveva
Algorithms 2026, 19(1), 13; https://doi.org/10.3390/a19010013 (registering DOI) - 23 Dec 2025
Abstract
Understanding the spatial and temporal structure of crustal deformation is essential for identifying tectonic blocks, assessing seismic hazard, and detecting precursory deformation associated with major megathrust earthquakes. In this study, we analyze twenty years of continuous GNSS observations from the Japanese Islands to [...] Read more.
Understanding the spatial and temporal structure of crustal deformation is essential for identifying tectonic blocks, assessing seismic hazard, and detecting precursory deformation associated with major megathrust earthquakes. In this study, we analyze twenty years of continuous GNSS observations from the Japanese Islands to identify coherent deformation domains and anomalous regions using an integrated time-dependent clustering framework. The workflow combines six machine learning algorithms (Hierarchical Agglomerative Clustering, K-means, Gaussian Mixture Models, Spectral Clustering, HDBSCAN and consensus clustering) and constructs a set of deformation-related features including steady-state velocities, strain rates, co-seismic and post-seismic displacements, and spatial distance metrics. Optimal cluster numbers are determined by validity metrics, and the most robust segmentation is obtained using a consensus approach. The resulting spatiotemporal domains reveal clear segmentation associated with major geological structures such as the Fossa Magna graben, the Median Tectonic Line, and deformation belts related to Pacific Plate subduction. The method also highlights deformation patterns potentially associated with the preparation stages of megathrust earthquakes. Our results demonstrate that machine learning-based clustering of long-term GNSS time series provides a powerful data-driven tool for quantifying deformation heterogeneity and improving the understanding of active geodynamic processes in subduction zones. Full article
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19 pages, 6919 KB  
Article
Trypanocidal Activity of Dual Redox-Active Quinones: Trypanosoma cruzi Mitochondrion as a Target Organelle In Vitro and Anti-Inflammatory Properties In Vivo
by Raquel B. Duarte, Victor F. S. Ramos, Juliana M. C. Barbosa, Gabriel M. Oliveira, Emilay B. T. Diogo, Renata G. Almeida, Alastair J. J. Lennox, Eufrânio N. da Silva Júnior, Yasmin Pedra-Rezende and Rubem F. S. Menna-Barreto
Pathogens 2026, 15(1), 17; https://doi.org/10.3390/pathogens15010017 (registering DOI) - 23 Dec 2025
Abstract
Chagas disease is caused by the protozoan Trypanosoma cruzi, and its current treatment is limited to the use of two nitroderivatives, benznidazole (Bz) and nifurtimox; however, their toxicity often leads to discontinuation, justifying the search for new therapeutic options. The biological activity [...] Read more.
Chagas disease is caused by the protozoan Trypanosoma cruzi, and its current treatment is limited to the use of two nitroderivatives, benznidazole (Bz) and nifurtimox; however, their toxicity often leads to discontinuation, justifying the search for new therapeutic options. The biological activity of quinones has long shown efficacy towards pathogenic microorganisms. In our previous investigations, two naphthoquinones combining ortho- and para-quinoidal moieties exhibited remarkable trypanocidal activity and presented low toxicity to host cells. Here, these two active compounds were further assessed. On trypomastigotes and epimastigotes, brominated (NQ1) and chlorinated (NQ2) nor-beta-lapachone-derived 1,2,3-triazoles were more active than Bz, presenting IC50/24 h values in the range of 0.8 to 3.1 µM. NQ1-treated epimastigotes showed a mitochondrial impairment and reactive oxygen species (ROS) production under electron microscopy and flow cytometry. The in vitro evaluation of both combinations of compounds with Bz indicated an additive interaction. In vivo, oral treatment with NQ1 reduced parasitemia in an acute model, with no evidence of toxicity. The treatment also led to a reduction in myocarditis, decreasing the PR interval in electrocardiographic analysis and reversing the sinus bradycardia caused by infection. These data suggest that T. cruzi mitochondrion are part of the NQ1 mechanism of action. In vivo, this compound presented moderate trypanocidal and promising anti-inflammatory activity. Its combination with Bz could enhance current therapeutic protocols and should be better explored in the future. Full article
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17 pages, 1262 KB  
Article
User-Aware Trust Evaluation of Web Services: A Fuzzy-Based MCDM Approach
by Jolanta Miliauskaitė, Asta Slotkienė and Paulius Lėveris
Appl. Sci. 2026, 16(1), 141; https://doi.org/10.3390/app16010141 (registering DOI) - 23 Dec 2025
Abstract
With the development of service-based and cloud-based architectures, the number of web services is rapidly increasing, and when users use these services, they expect reliability, security, and performance. However, existing trust evaluation approaches are predominantly based on QoS characteristics (e.g., availability, throughput, and [...] Read more.
With the development of service-based and cloud-based architectures, the number of web services is rapidly increasing, and when users use these services, they expect reliability, security, and performance. However, existing trust evaluation approaches are predominantly based on QoS characteristics (e.g., availability, throughput, and compliance) and do not fully reflect user satisfaction and expectations. This research addresses this gap by posing the following research question: How can a fuzzy-based multi-criteria decision-making (MCDM) approach incorporate user experience to enhance web service trust score evaluation under uncertainty? To address this, we propose a trust score–weighted model and an evaluation approach that extends traditional methods by integrating a fuzzy-based MCDM approach, such as fuzzy TOPSIS, fuzzy VIKOR, and fuzzy WASPAS, thereby allowing both objective service metrics and subjective user expectations to be jointly considered when evaluating service trust. The results of the proposed approach demonstrate the evaluation of trust scores through a fuzzy-based MCDM approach, allowing for the ranking of WSs. Our case study validates the model’s ability to incorporate predictive quality-of-service performance and its relevance to real-world, user-centric service selection scenarios. Full article
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20 pages, 21278 KB  
Article
Integrating Seismic and Well Data for Subsurface Geological Investigation in the Southeastern Sub-Himalayan Foreland, Bannu Basin, Pakistan
by Akbar Ali, Rongyi Qian, Zhenning Ma and Nasim Javid
Geosciences 2026, 16(1), 11; https://doi.org/10.3390/geosciences16010011 (registering DOI) - 23 Dec 2025
Abstract
This study presents stratigraphic and structure findings from the southeastern Bannu Basin, a structurally complex segment of the Sub-Himalayan foreland in Pakistan. Two dimensional seismic reflection data were integrated with well-log data from the Chonai-01 and Marwat-01 wells to reconstruct the subsurface basin [...] Read more.
This study presents stratigraphic and structure findings from the southeastern Bannu Basin, a structurally complex segment of the Sub-Himalayan foreland in Pakistan. Two dimensional seismic reflection data were integrated with well-log data from the Chonai-01 and Marwat-01 wells to reconstruct the subsurface basin architecture and to evaluate its hydrocarbon potential. In general, the deformation in the region is strongly controlled by the Neoproterozoic Salt Range Formation, with salt tectonics generating anticlines, deep salt detachment, and fault systems that form favorable structural traps. Seismic interpretation reveals both normal and reverse faulting, and multiple unconformities, indicating episodic tectonic activity linked to Himalayan orogeny. Well correlation of individual formations highlights lateral stratigraphic variations, including thick Siwalik Group deposits and key reservoir units such as the Datta and Lumshiwal formations. These findings demonstrate that mild salt-related deformation and stratigraphic discontinuities play a central role in hydrocarbon migration and entrapment. The structural and stratigraphic similarity of the Bannu Basin to the Potwar Plateau underscores its significant exploration potential within the Himalayan foreland system, while the integrated seismic–well workflow provides a robust framework for future exploration. Full article
(This article belongs to the Section Geophysics)
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29 pages, 385 KB  
Review
Psychological Injuries in the DSM-5: Courting Troubles
by Gerald Young
Psychiatry Int. 2026, 7(1), 4; https://doi.org/10.3390/psychiatryint7010004 (registering DOI) - 23 Dec 2025
Abstract
Introduction: The Diagnostic and Statistical Manual of Mental Disorders has been criticized for its reliability and validity, including for the major psychological injuries [Posttraumatic Stress Disorder (PTSD), chronic pain-related disorders, and neurocognitive disorders, pertinent for mild traumatic brain injury (MTBI)/persistent post-concussion syndrome (PPCS)]. [...] Read more.
Introduction: The Diagnostic and Statistical Manual of Mental Disorders has been criticized for its reliability and validity, including for the major psychological injuries [Posttraumatic Stress Disorder (PTSD), chronic pain-related disorders, and neurocognitive disorders, pertinent for mild traumatic brain injury (MTBI)/persistent post-concussion syndrome (PPCS)]. Methods: This review article examines both the mental health/psychiatric and legal literature on the DSM-5 and its criticisms. The DSM-5 uses a polythetic approach, which leads to many complicating ways of expressing disorders (e.g., PTSD). Disorders related to chronic pain refer to somatic symptom disorders (e.g., with predominant pain), which leads to less focus on the chronic pain itself. The neurocognitive disorder diagnosis includes minor and major classifications, but excludes moderate ones. The international diagnostic system (International Classification of Diseases (ICD-11)) and alternate approaches to psychiatric nosology [the Research Domain Criteria (RDoC) and Hierarchal Taxonomy of Psychopathology (HiTOP)] do not help resolve these issues. Results: The comprehensive literature review undertaken indicates the limitations of the DSM-5 clinically and in court, especially for psychological injuries. The article includes tables and boxes that complement the text with specificities related to the issues raised. Conclusions: The article recommends supplementary diagnostic criteria for the three major psychological injuries (PTSD, chronic pain, and MTBI) for forensic use. This paper is an original contribution to improving the diagnostics/description and forensic use of the major psychological injuries: aside from the paper’s clinical contributions, these disorders/conditions are contentious in court, and their better specification in diagnosis, as attempted herein, is important to undertake forensically. Full article
20 pages, 2564 KB  
Article
Effects of Synthetic Fibers and Rubber Powder from ELTs on the Rheology of Mineral Filler–Bitumen Compositions
by Krzysztof Maciejewski, Witalij Zankowicz, Anna Chomicz-Kowalska and Przemysław Zaprzalski
Materials 2026, 19(1), 52; https://doi.org/10.3390/ma19010052 (registering DOI) - 23 Dec 2025
Abstract
This study investigates the influence of synthetic fibers and rubber powder derived from end-of-life tires (ELTs) on the rheological behavior of asphalt mastics composed of paving-grade bitumen and mineral filler. Nine asphalt mastic formulations were prepared with varying fiber and rubber contents, reflecting [...] Read more.
This study investigates the influence of synthetic fibers and rubber powder derived from end-of-life tires (ELTs) on the rheological behavior of asphalt mastics composed of paving-grade bitumen and mineral filler. Nine asphalt mastic formulations were prepared with varying fiber and rubber contents, reflecting the composition of stone mastic asphalt mixtures. Dynamic shear rheometer tests were conducted to assess dynamic stiffness modulus, phase angle, non-recoverable creep compliance, and elastic recovery. The results demonstrated that ELT-derived additives significantly enhanced high-temperature stiffness and elasticity, while maintaining satisfactory viscoelastic balance at lower temperatures. Synergistic effects between fibers and rubber were observed, improving both non-recoverable compliance and percent recovery, particularly at elevated shear stresses. Prolonged exposure to production temperatures (175 °C) confirmed the thermal stability of the modified mastics, with the most notable performance gains occurring during the first hour of heating. Based on the findings, it was concluded that ELT-based fiber–rubber additives can improve high-temperature performance of asphalt mastics without negative effects in intermediate and, possibly, also low service temperatures. This permits expanding the use cases for these kinds of additives beyond the role of inert stabilizers in stone mastic asphalt to an active modifier for extending asphalt mix performance. Full article
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12 pages, 899 KB  
Article
Evaluation of OCT Angiography Parameters as Biomarkers for Glaucoma Progression
by Konstantina Kancheva, Mladena Radeva, Igor B. Resnick and Zornitsa Zlatarova
Diagnostics 2026, 16(1), 35; https://doi.org/10.3390/diagnostics16010035 (registering DOI) - 23 Dec 2025
Abstract
Background: Optical coherence tomography angiography (OCT-A) provides quantitative assessment of retinal and peripapillary microvasculature and has emerged as a promising tool for glaucoma diagnostics. However, its sensitivity for detecting early glaucomatous progression over short intervals remains uncertain. This study evaluated cross-sectional and short-term [...] Read more.
Background: Optical coherence tomography angiography (OCT-A) provides quantitative assessment of retinal and peripapillary microvasculature and has emerged as a promising tool for glaucoma diagnostics. However, its sensitivity for detecting early glaucomatous progression over short intervals remains uncertain. This study evaluated cross-sectional and short-term longitudinal OCT-A vessel density (VD) metrics in primary open-angle glaucoma (POAG) and explored their relationships with structural (RNFL) and functional (MD) measures. Methods: Sixty eyes (30 POAG, 30 controls) underwent baseline and 6-month examinations including intraocular pressure (IOP), standard automated perimetry (SAP), structural OCT, and OCT-A (RTVue XR Avanti; AngioVue). Parameters analyzed included peripapillary VD (PP-VD), parafoveal VD (PF-VD), foveal avascular zone (FAZ) metrics, FD-300, and RNFL thickness. Between-group comparisons used t-tests or Mann–Whitney U tests. Effect sizes (Cohen’s d), 95% confidence intervals (CI), and ANCOVA models (adjusted for baseline, age, and sex) were included. Longitudinal change was defined as Δ = 6 months − baseline. Pearson correlations evaluated structure–vascular associations. Results: At baseline, POAG eyes showed significantly lower PP-VD, PF-VD, thinner RNFL, and worse MD (all p < 0.001). Strong correlations were observed between RNFL and PP-VD (r ≈ 0.7). Over 6 months, glaucoma eyes showed small but statistically significant reductions in RNFL (Δ = −1.04 µm), MD (Δ = −0.10 dB), and PP-VD (Δ = −0.57%), whereas controls remained stable. However, the absolute OCT-A changes were small and largely within the known range of test–retest variability. ANCOVA demonstrated a significant adjusted group effect only for PP-VD (B = −1.22%, 95% CI −1.53 to −0.90; p < 0.001). Conclusions: OCT-A demonstrated clear cross-sectional differences between POAG and controls and strong structure–vascular associations. However, with only two measurements over a 6-month interval, the study cannot distinguish true glaucomatous progression from physiological or device-related variability. Short-term changes should therefore be interpreted cautiously. PP-VD remains the most robust and consistent OCT-A parameter, but larger, longer, and prospectively powered studies are required to validate OCT-A as a reliable biomarker for progression. Full article
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15 pages, 3068 KB  
Article
Furfural Residue to Rheology Accessible Suspension Fertilizer upon Artificial Humification
by Nasen Bate, Xiuying Yang, Shuangqin Li, Jingxu Yang, Xue Li, Fuduo He, Dehua Xu, Zhengjuan Yan, Benhe Zhong and Xinlong Wang
Processes 2026, 14(1), 50; https://doi.org/10.3390/pr14010050 (registering DOI) - 23 Dec 2025
Abstract
To achieve the upcycling of annually upsurging lignocellulosic wastes, the artificial humification of furfural residue is investigated under hydrothermal conditions with the objective of producing a high-concentration nitrogen-phosphorus-potassium (NPK) suspension fertilizer. Through orthogonal analysis, process conditions are optimized as a liquid-to-solid (aqueous KOH [...] Read more.
To achieve the upcycling of annually upsurging lignocellulosic wastes, the artificial humification of furfural residue is investigated under hydrothermal conditions with the objective of producing a high-concentration nitrogen-phosphorus-potassium (NPK) suspension fertilizer. Through orthogonal analysis, process conditions are optimized as a liquid-to-solid (aqueous KOH to furfural residue) ratio of 15, a reaction time of 5 h and a hydrothermal temperature of 160 °C. Subsequently, we screen out a formulation of suspension agents to stabilize the alkaline leachate, in which 0.50% sodium lignosulfonate, 0.20% xanthan gum and 0.05% potassium sorbate are incorporated via wet ball-milling. The Herschel–Bulkley equation well fits the rheological characteristics of the resulting suspension fertilizer with R2 value exceeding 0.99. This suspension system is thus determined as one pseudoplastic non-Newtonian fluid. Due to higher static viscosity, it demonstrates superior anti-agglomeration capacity within a temperature range of 15–55 °C, while flowing smoothly through pipes during high-speed spraying onto the soil relied on its shear thinning. These findings provide novel insights for the high-value utilization of bio-waste and the development of new fertilizers with less consumption of energy and water. Full article
(This article belongs to the Section Petroleum and Low-Carbon Energy Process Engineering)
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16 pages, 1528 KB  
Article
Structure–Performance Relationship Study of PMA Viscosity Index Improver in New Energy Vehicle Transmission Fluid
by Jinglin Yin, Xiao Shi, Ling Lei, Jingsi Cao, Qianhui Zhao and Haipeng Zhao
Lubricants 2026, 14(1), 4; https://doi.org/10.3390/lubricants14010004 (registering DOI) - 23 Dec 2025
Abstract
This study systematically investigates the structure–performance relationship of PMA (PolyMethacrylate) viscosity index improvers in new energy vehicle (NEV) transmission fluids. We developed an integrated analytical framework combining spectroscopic and chromatographic techniques to simultaneously characterize its side chain length distribution, molecular weight polydispersity, and [...] Read more.
This study systematically investigates the structure–performance relationship of PMA (PolyMethacrylate) viscosity index improvers in new energy vehicle (NEV) transmission fluids. We developed an integrated analytical framework combining spectroscopic and chromatographic techniques to simultaneously characterize its side chain length distribution, molecular weight polydispersity, and branching architecture. Key findings reveal that the kinematic viscosity of formulated oils positively correlates with PMA molecular weight, low-temperature performance is governed by side-chain length (≥C14 fatty alcohols), shear stability is predominantly determined by molecular weight, and nitrogen-modified PMA enhances oxidation resistance by mitigating kinematic viscosity increase. These insights provide actionable guidance for the molecular design of viscosity index improvers and the formulation optimization of advanced lubricants to meet the stringent demands of electric vehicle transmission systems. Full article
(This article belongs to the Special Issue Novel Lubricant Additives in 2025)
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11 pages, 1240 KB  
Article
Recurrent Malignant Pericardial Effusion Management: The Pericardio-Peritoneal Window
by Antonio Mazzella, Giovanni Caffarena, Claudia Bardoni, Giuseppe Nicolosi, Patrick Maisonneuve, Giorgia Cerretani, Giulia Sedda, Luca Bertolaccini, Giorgio Lo Iacono, Monica Casiraghi and Lorenzo Spaggiari
J. Clin. Med. 2026, 15(1), 83; https://doi.org/10.3390/jcm15010083 (registering DOI) - 22 Dec 2025
Abstract
Introduction: Malignant pericardial effusion (MPE) represents a relatively rare complication in various types of solid tumors. Its management is often challenging. One solution can be represented by surgical approaches, including a pericardio-peritoneal window (PPW), which allows draining the fluid into the abdominal [...] Read more.
Introduction: Malignant pericardial effusion (MPE) represents a relatively rare complication in various types of solid tumors. Its management is often challenging. One solution can be represented by surgical approaches, including a pericardio-peritoneal window (PPW), which allows draining the fluid into the abdominal cavity. The aim of this study is to investigate the efficacy and long-term outcomes of the PPW procedure as a definitive therapeutic strategy for MPE. Materials and methods: We retrospectively and prospectively observed pre-, peri-, and postoperative data of patients undergoing pericardio-peritoneal window creation from 2010 to December 2023 at the European Institute of Oncology (IEO), including the surgical procedures needed, total and specific postoperative complications, 30-day mortality rate, relapse rate, and the treatment of possible relapses. Results: A total of 44 consecutive patients underwent a pericardio-peritoneal window. In 28 patients (63.8%) PPW was associated with mono or bilateral videothoracoscopy for pleural biopsies/talc poudrage. In 23 cases, pre-operative percutaneous pericardial drainage (usually 1–2 days before surgery) was performed. No intraoperative deaths were observed. The 30-day mortality was 9% (four patients). We observed pericardial effusion recurrence in three patients at two months and in five patients at six months. In only two cases we treated this condition because of a pre-tamponade condition, treated by percutaneous pericardial drainage. The success rate of the PPW regarding pericardial relapse requiring further procedures was 95.5%. Conclusions: Patients presenting with a favorable short-term prognosis benefit from the pericardio-peritoneal window as a safe and effective method for resolving malignant pericardial effusion. Conversely, pericardial drainage is recommended as the most appropriate therapy for those with a less favorable prognosis. Full article
(This article belongs to the Special Issue Latest Advances in Thoracic Surgery: 2nd Edition)
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17 pages, 8452 KB  
Article
Efficient Ground State Energy Estimation of LiCoO2 Using the FMO-VQE Hybrid Quantum Algorithm
by Yoonho Choe, Doyeon Kim, Doha Kim and Younghun Kwon
Mathematics 2026, 14(1), 44; https://doi.org/10.3390/math14010044 (registering DOI) - 22 Dec 2025
Abstract
The Variational Quantum Eigensolver (VQE) is a quantum algorithm for estimating ground-state energies, with promising applications in material science, drug discovery, and battery research. A key challenge is the limited number of qubits available on current quantum devices, which restricts the size of [...] Read more.
The Variational Quantum Eigensolver (VQE) is a quantum algorithm for estimating ground-state energies, with promising applications in material science, drug discovery, and battery research. A key challenge is the limited number of qubits available on current quantum devices, which restricts the size of molecular systems that can be studied. To address this limitation, we apply the Fragment Molecular Orbital (FMO) method in combination with VQE, referred to as FMO-VQE. This approach divides a system into smaller fragments, making the quantum calculations more tractable. While earlier studies demonstrated this method only for hydrogen clusters, we extend the application to lithium cobalt oxide, a widely used cathode material in lithium-ion batteries. Using FMO-VQE, we estimate the ground-state energy of this complex system while reducing the number of required qubits from 24 to 14, without significant loss of accuracy compared to classical methods. This reduction highlights the potential of FMO-VQE to overcome hardware limitations and make quantum simulations of larger molecules feasible. The results suggest a practical path for applying near-term quantum computers to real-world challenges, opening opportunities for advancements in the battery industry and drug design. Full article
(This article belongs to the Special Issue Recent Advances in Quantum Optimization)
17 pages, 283 KB  
Article
Serpentine Sisters: Re-Visioning the Snake Woman Myth in Anglophone Chinese Women’s Speculative Fiction
by Qianyi Ma
Literature 2026, 6(1), 1; https://doi.org/10.3390/literature6010001 (registering DOI) - 22 Dec 2025
Abstract
This essay examines how contemporary Anglophone Chinese women writers rewrite the imagery of Chinese snake women through speculative retellings that foreground sisterhood, queer desire, and diasporic identity. Drawing on queer diaspora studies and feminist criticism, I argue that Larissa Lai’s Salt Fish Girl [...] Read more.
This essay examines how contemporary Anglophone Chinese women writers rewrite the imagery of Chinese snake women through speculative retellings that foreground sisterhood, queer desire, and diasporic identity. Drawing on queer diaspora studies and feminist criticism, I argue that Larissa Lai’s Salt Fish Girl (2002) and Amanda Lee Koe’s Sister Snake (2024) revise the figure of the Chinese snake woman to imagine forms of female intimacy and kinship that transcend heteronormative and patriarchal frameworks. In these works, sisterhood operates both as a familial bond and as an intimate, queer relation charged with affective, physical, and occasionally erotic intensity. The original White Snake legend—one of China’s Four Great Folktales—has long invited queer readings, especially through the complex relationship between White Snake and her companion Green Snake. In dialogue with the Chinese snake myth, Lai and Koe relocate the snake woman into speculative worlds shaped by queer desire, racial marginalization, and transnational migration. In Salt Fish Girl, Lai reimagines the reincarnations of the half-snake Chinese mother goddess Nu Wa across colonial South China and near-future bio-capitalist Canada, portraying a cross-temporal lesbian love between the protagonist and the titular Salt Fish Girl. In Sister Snake, Koe’s protagonists—serpent sisters Su and Emerald, separated between Singapore and New York—disrupt normative family scripts while forging a fragmented but enduring affective bond. Through the motif of the Chinese snake woman, these works construct imaginative spaces in which intimate sisterhood subverts patriarchal and national containment, advancing a queer vision of female togetherness. Full article
(This article belongs to the Special Issue Defiant Asymmetries: Asian American Literature Without Borders)
30 pages, 4351 KB  
Article
Performance Enhancement of Secure Image Transmission Over ACO-OFDM VLC Systems Through Chaos Encryption and PAPR Reduction
by Elhadi Mehallel, Abdelhalim Rabehi, Ghadjati Mohamed, Abdelaziz Rabehi, Imad Eddine Tibermacine and Mustapha Habib
Electronics 2026, 15(1), 43; https://doi.org/10.3390/electronics15010043 (registering DOI) - 22 Dec 2025
Abstract
Visible Light Communication (VLC) systems commonly employ optical orthogonal frequency division multiplexing (O-OFDM) to achieve high data rates, benefiting from its robustness against multipath effects and intersymbol interference (ISI). However, a key limitation of asymmetrically clipped direct current biased optical–OFDM (ACO-OFDM) systems lies [...] Read more.
Visible Light Communication (VLC) systems commonly employ optical orthogonal frequency division multiplexing (O-OFDM) to achieve high data rates, benefiting from its robustness against multipath effects and intersymbol interference (ISI). However, a key limitation of asymmetrically clipped direct current biased optical–OFDM (ACO-OFDM) systems lies in their inherently high peak-to-average power ratio (PAPR), which significantly affects signal quality and system performance. This paper proposes a joint chaotic encryption and modified μ-non-linear logarithmic companding (μ-MLCT) scheme for ACO-OFDM–based VLC systems to simultaneously enhance security and reduce PAPR. First, image data is encrypted at the upper layer using a hybrid chaotic system (HCS) combined with Arnold’s cat map (ACM), mapped to quadrature amplitude modulation (QAM) symbols and further encrypted through chaos-based symbol scrambling to strengthen security. A μ-MLCT transformation is then applied to mitigate PAPR and enhance both peak signal-to-noise ratio (PSNR) and bit-error-ratio (BER) performance. A mathematical model of the proposed secured ACO-OFDM system is developed, and the corresponding BER expression is derived and validated through simulation. Simulation results and security analyses confirm the effectiveness of the proposed solution, showing gains of approximately 13 dB improvement in PSNR, 2 dB in BER performance, and a PAPR reduction of about 9.2 dB. The secured μ-MLCT-ACO-OFDM not only enhances transmission security but also effectively reduces PAPR without degrading PSNR and BER. As a result, it offers a robust and efficient solution for secure image transmission with low PAPR, making it well-suitable for emerging wireless networks such as cognitive and 5G/6G systems. Full article
(This article belongs to the Section Microwave and Wireless Communications)
26 pages, 2551 KB  
Article
Bacillus mojavensis dxk33 Modulates Rhizosphere Microbiome and Suppresses Root Rot in Cunninghamia lanceolata
by Xiaokang Dai, Pengfei Yang, Chuan Zhou, Zebang Chen, Shuying Li and Tianhui Zhu
Microorganisms 2026, 14(1), 34; https://doi.org/10.3390/microorganisms14010034 (registering DOI) - 22 Dec 2025
Abstract
Soil-borne pathogens cause devastating root rot diseases in forest ecosystems, often by inducing dysbiosis in the rhizosphere microbiome. While antagonistic bacteria can suppress disease, their effects frequently extend beyond direct inhibition to include ecological restructuring of resident microbial communities. However, the causal relationships [...] Read more.
Soil-borne pathogens cause devastating root rot diseases in forest ecosystems, often by inducing dysbiosis in the rhizosphere microbiome. While antagonistic bacteria can suppress disease, their effects frequently extend beyond direct inhibition to include ecological restructuring of resident microbial communities. However, the causal relationships between such microbiome restructuring and disease suppression in tree species remain poorly understood. Here, we show that the antagonistic bacterium B. mojavensis dxk33 effectively suppresses F. solani-induced root rot in C. lanceolata, and that this disease suppression coincides with a partial reversal of pathogen-associated dysbiosis in the rhizosphere. Inoculation with dxk33 significantly promoted plant growth and reduced the disease index by 72.19%, while concurrently enhancing soil nutrient availability and key C-, N- and P-cycling enzyme activities. High-throughput sequencing revealed that dxk33 inoculation substantially reshaped the rhizosphere microbiome, counteracting the pathogen’s negative impact on microbial diversity and coinciding with a shift toward a more stable community structure. Under pathogen stress, dxk33 enriched beneficial bacterial taxa such as Pseudomonas and Sphingomonas and suppressed pathogenic fungi while promoting beneficial fungi such as Mortierella. Linear discriminant analysis and functional prediction further indicated that dxk33 remodeled ecological guilds enriched for mycorrhizal and saprotrophic fungi, and reactivated bacterial metabolic pathways and signaling networks that were suppressed by the pathogen. Taken together, our findings are consistent with a multi-tiered mode of action in which direct antagonism by B. mojavensis dxk33 operates alongside associated changes in the rhizosphere microbiome that resemble a disease-suppressive state, although the present experimental design does not allow a strictly causal role for microbiome reconfiguration in disease suppression to be established. This study provides a mechanistic framework for understanding how microbiome engineering may mitigate soil-borne diseases in perennial trees and highlights the potential of targeted microbial interventions for sustainable forest management. Full article
(This article belongs to the Section Plant Microbe Interactions)
14 pages, 1885 KB  
Article
Chelating, Reducing, and Adsorbing Agents in Geopolymers for Heavy Metals Stabilization from Galvanic Sludge
by Francesco Genua, Mattia Giovini, Cristina Leonelli and Isabella Lancellotti
Polymers 2026, 18(1), 28; https://doi.org/10.3390/polym18010028 (registering DOI) - 22 Dec 2025
Abstract
Hazardous galvanic sludge waste (GSW) from the electroplating industry, produced at 100,000–150,000 tonnes/year in the EU and containing high concentrations of Cr and Ni was successfully treated using metakaolin-based geopolymers via Stabilization/Solidification (S/S). The experimental design incorporated chelating (sodium diethyl dithio carbamate, C [...] Read more.
Hazardous galvanic sludge waste (GSW) from the electroplating industry, produced at 100,000–150,000 tonnes/year in the EU and containing high concentrations of Cr and Ni was successfully treated using metakaolin-based geopolymers via Stabilization/Solidification (S/S). The experimental design incorporated chelating (sodium diethyl dithio carbamate, C5H10NS2Na, DTC), reducing (sodium sulfide, Na2S), and adsorbing (hydroxyapatite, Ca5(PO4)3(OH), Hap) agents separately to improve heavy metal immobilization. The results demonstrated that Na2S drastically decreased Cr release by −98.7% by reducing mobile Cr(VI) to insoluble Cr(III). DTC reduced Ni leaching by −93.4%, forming sparingly soluble Ni(II)(DTC)2 complexes that precipitated within the matrix. Hap enhanced Ni retention by 55.5% via cation exchange but was ineffective for Cr due to electrostatic repulsion with the anion Cr(VI)O42− at the geopolymer’s high pH. This work is the first to apply geopolymerization coupled with these chemical agents for S/S of as-received galvanic waste, offering a highly efficient, low-carbon strategy to manage this hazardous industrial residue. Full article
(This article belongs to the Section Polymer Chemistry)
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17 pages, 1454 KB  
Article
Development and Application of Innovative Anti-Leakage Tubing String for Low-Pressure Wax-Containing Wells
by Enwei Wang, Li Li, Lu Chen, Hu Zhang, Jianying Shi, Yonghong Yang, Junying Liao, Xuliang Zhao and Fulin Qiu
Processes 2026, 14(1), 49; https://doi.org/10.3390/pr14010049 (registering DOI) - 22 Dec 2025
Abstract
During the mid-to-late stages of oilfield development, reservoir energy depletion and declining formation pressure coefficients are prevalent challenges. To address the issues of severe fluid loss and extended post-workover fluid recovery periods during conventional operations such as thermal wax removal and pump inspection [...] Read more.
During the mid-to-late stages of oilfield development, reservoir energy depletion and declining formation pressure coefficients are prevalent challenges. To address the issues of severe fluid loss and extended post-workover fluid recovery periods during conventional operations such as thermal wax removal and pump inspection in low-pressure, waxy wells within a specific block of the Xinjiang Oilfield, a dynamic loss analysis model for workover fluids was developed. Additionally, a wash pressure control valve was engineered to meet the requirements for squeeze killing under abnormal conditions, and an integrated anti-leakage tubing string was designed. This system effectively isolates the workover fluid from the reservoir during interventions, thereby significantly reducing fluid loss and enhancing operational safety. Field applications demonstrate that this technology reduces workover fluid loss by 96% during thermal wax removal and shortens the average post-workover fluid recovery period by 8.7 days after pump inspection. This technology enables rapid restoration of well productivity, lowers operational costs for thermal wax removal and pump inspection, and provides an effective solution for maintaining low-pressure, waxy wells. Full article
17 pages, 1042 KB  
Review
The Need for a Systems Biology Approach in Cancer Explained
by Hehuan Zhu, Xi Zhang, Ehsan Nazemalhosseini-Mojarad, Jessica Roelands, Lizzie D. A. N. de Muynck, Cor J. Ravensbergen, Rachel Hoorntje, Imke Stouten, Marianne Hokland, Alexander L. Vahrmeijer, Rob A. E. M. Tollenaar, Edwin Koster and Peter J. K. Kuppen
Int. J. Mol. Sci. 2026, 27(1), 141; https://doi.org/10.3390/ijms27010141 (registering DOI) - 22 Dec 2025
Abstract
Traditionally, scientists tend to approach cancer research in a reductionistic way: aiming at uncovering underlying, separate components in malignant processes. And indeed, great progress has been made by reducing the development of a tumor to single, specific genes and mutations. For instance, familial [...] Read more.
Traditionally, scientists tend to approach cancer research in a reductionistic way: aiming at uncovering underlying, separate components in malignant processes. And indeed, great progress has been made by reducing the development of a tumor to single, specific genes and mutations. For instance, familial adenomatous polyposis (FAP) could be reduced to a germline mutation in the Adenomatous Polyposis Coli (APC) gene. The escape of tumor cells from immune surveillance could be reduced to the tumor expression of immune checkpoints, resulting in new approaches in tumor therapy by applying immune checkpoint inhibitors. However, a germline mutation in APC is not 1:1 related to colorectal cancer (CRC), and only some patients respond to immune checkpoint inhibitors. The point here is that biological systems, also comprising cancer, have properties that cannot be reduced to single components. The cooperation of the single components results in new, emergent properties. The outcome of an interaction in a complex network, like the immune system, depends on the many cell types involved and the numerous molecules that interact and activate or inhibit pathways. The way the composing elements are organized is a causal factor in itself for any emergent property. The rise of genomic analysis at the end of the previous century, enabling us to sequence a full genome at the DNA and RNA levels, has initiated an awareness of the need for ‘systems biology’: to consider a full system and how it is organized, in all of its aspects, to understand biological pathways and their outcomes. In this review, we outline the prospects and limitations of systems biology in cancer research and propose a causal framework that integrates upward and downward causation and multiple realizability to understand the emergent properties of tumors that determine the dynamics of tumor development. Full article
(This article belongs to the Special Issue 25th Anniversary of IJMS: Updates and Advances in Molecular Oncology)
18 pages, 3506 KB  
Article
Impact of Tire Wear Particle (TWP)-Derived Dissolved Organic Matter (DOM) on Soil Properties and Heavy Metal Mobility
by Shaojun Jiang, Hao Xiao, Xue Xiao, Churong Liu, Xurong Huang, Qianxin Xiao, Junqi Wu, Xinsheng Xiao and Huayi Chen
Agronomy 2026, 16(1), 38; https://doi.org/10.3390/agronomy16010038 (registering DOI) - 22 Dec 2025
Abstract
This study investigates the impact of tire wear particles (TWPs) and their dissolved organic matter (DOM) on soil DOM dynamics and heavy metal behavior. Through short-term incubation experiments under simulated natural conditions with TWPs of varying particle sizes, we analyzed ecological changes in [...] Read more.
This study investigates the impact of tire wear particles (TWPs) and their dissolved organic matter (DOM) on soil DOM dynamics and heavy metal behavior. Through short-term incubation experiments under simulated natural conditions with TWPs of varying particle sizes, we analyzed ecological changes in soil. Using three-dimensional excitation–emission matrix (3D-EEM) spectroscopy coupled with parallel factor analysis, we monitored the photochemical properties and compositional evolution of soil dissolved organic matter. Results demonstrate that TWP amendment substantially alters soil DOM molecular characteristics, inducing a sharp decrease in protein-, carbohydrate-, and lipid-like components, the degradation of low-aromaticity unstable dissolved organic matter, and an overall increase in aromaticity. Furthermore, TWP input directly modified soil properties, triggering the transformation of soil aggregates: the proportion of large aggregates significantly decreased while that of small aggregates increased, thereby reducing overall aggregate stability. The bioaccessibility of heavy metals (HMs) (Cd, Cu, and Zn) extracted by CaCl2 increased, primarily due to the release of endogenous metals from TWPs, compounded by the disruption of soil aggregates. In contrast, Pb tended to transform into more stable fractions under TWP stress, reducing its bioaccessibility. Further correlation analysis indicated that TWPs indirectly affected HM (Cd, Cu, and Zn) fractionation by influencing the soil dissolved organic matter properties and soil properties. This study provides a new perspective for elucidating the interplay between dissolved organic matter and HMs in urban soils, as mediated by tire wear particles (TWPs). Full article
(This article belongs to the Special Issue Agricultural Pollution: Toxicology and Remediation Strategies)

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