Saved Queries

by Tanpong Chaiwarit, Rangsan Panyathip, Sastra Yuantrakul, Kwanjit Duangsonk, Pattaraporn Panraksa, Pornchai Rachtanapun, Kittisak Jantanasakulwong and Pensak Jantrawut

Polymers 2025, 17(17), 2370; https://doi.org/10.3390/polym17172370 (registering DOI) - 30 Aug 2025

Abstract

Active packaging supports sustainable development by extending food shelf life and reducing spoilage, contributing to global food security. In this study, cellulose dialdehyde was synthesized and blended with polyvinyl alcohol in varying ratios to produce composite films. The incorporation of dialdehyde cellulose into films tended to increase puncture strength and Young’s modulus, decrease elongation, reduce water solubility, and enhance resistance to water vapor transmission because of crosslinking. Carbon quantum dots were subsequently incorporated into composite films to enhance their antibacterial property. This represents a novel combination of a natural bio-based crosslinker and fluorescent nanomaterials in a single packaging system. Carbon quantum dots were synthesized by an electrochemical method and incorporated as functional agents. The addition of carbon quantum dots influenced the mechanical properties of the films due to interactions between polymers and carbon quantum dots. This interaction also slightly reduced the antibacterial effectiveness of the films, consisting of dialdehyde cellulose and PVA in ratios of 3:1 and 4:0. Nevertheless, the composite films maintained sufficient antimicrobial activity against common foodborne bacteria, including Staphylococcus aureus, Escherichia coli, and Salmonella Typhimurium. Overall, the findings demonstrate that multifunctional material made from dialdehyde cellulose, polyvinyl alcohol, and carbon quantum dots are a promising alternative to conventional plastic packaging. Full article

(This article belongs to the Section Polymer Applications)

13 pages, 1086 KB

Open AccessArticle

The Predictive Role of Video Head Impulse Testing Patterns of Anti-Compensatory Saccades Using the Suppression Head Impulse Paradigm for the Diagnosis of Mild Acute Unilateral Vestibular Loss

by Cristiano Balzanelli, Fabio Pontara and Luca Oscar Redaelli de Zinis

Audiol. Res. 2025, 15(5), 110; https://doi.org/10.3390/audiolres15050110 (registering DOI) - 30 Aug 2025

Abstract

Background/Objectives: To evaluate the predictive role of anti-compensatory saccades in diagnosing mild acute unilateral vestibular loss. Methods: Consecutive patients with vertigo who underwent a bedside vestibular evaluation and video head impulse testing of the horizontal semicircular canal at the San Bernardino Outpatient Clinic in Salò, Italy, between 1 January and 30 June 2024 were examined (Group 1). Two control groups were considered: patients with severe unilateral acute vestibular loss (Group 2) and healthy subjects (Group 3). The video head impulse testing patterns of anti-compensatory saccades (amplitude, scattered pattern, and latency) using the suppression head impulse paradigm were analyzed to evaluate their predictive role in identifying horizontal canal dysfunction, even when borderline gain values of the canal’s vestibulo-ocular reflex were present. Results: Group 1 included 74 patients, Group 2 included 20 patients, and Group 3 included 20 healthy, voluntary subjects. The anti-compensatory saccades revealed significant differences in the amplitudes and scattered patterns between the two ears, exclusively in Groups 1 and 2. Conclusions: The anti-compensatory saccades alterations using the suppression head impulse paradigm can predict mild acute unilateral vestibular loss, even when the horizontal semicircular canal’s vestibulo-ocular reflex gain values are mild (lower borderline). Conversely, a borderline asymmetry of the horizontal semicircular canal’s vestibulo-ocular reflex using the classic head impulse paradigm should not be considered a marker of mild acute unilateral vestibular loss when the saccadic pattern is symmetrical using the suppression head impulse paradigm. Further meticulous differential diagnostic investigations are necessary in such cases to effectively diagnose horizontal semicircular canal dysfunction. Full article

(This article belongs to the Section Balance)

22 pages, 2934 KB

Open AccessFeature PaperArticle

Deciphering α-L-Fucosidase Activity Contribution in Human and Mouse: Tissue α-L-Fucosidase FUCA1 Meets Plasma α-L-Fucosidase FUCA2

by Hannah Bäumges, Svenja Jelinek, Heike Lange, Sandra Markmann, Emanuela Capriotti, Jan Anwar Häusser, Mai-Britt Ilse, Thomas Braulke and Torben Lübke

Cells 2025, 14(17), 1355; https://doi.org/10.3390/cells14171355 (registering DOI) - 30 Aug 2025

Abstract

Fucose-containing glycoproteins and glycolipids broadly occur in humans as well as in many other species and are essential for a wide range of physiological processes, such as cell adhesion, fertilization, and tumor development. In humans, the cellular degradation of various fucosylated glycoconjugates depends on the FUCA1-encoded lysosomal tissue α-L-fucosidase (FUCA1). The crucial role of FUCA1 is reflected by the severe lysosomal storage disease fucosidosis, which causes a massive accumulation of fucosylated glycans, glycolipids, and α(1,6)-fucosylated glycoasparagines. Therefore, it is reasonable to assume that FUCA1 is predominantly responsible for the degradation of fucosylated glycoconjugates, although a second, functionally uncharacterized α-L-fucosidase, the plasma α-L-fucosidase (FUCA2), is known. To investigate the impact of both fucosidases in more detail, we generated two different monoclonal antibodies as useful tools for the detection of human and murine FUCA1 and utilized a FUCA2-specific antibody to demonstrate that FUCA2 is a bona fide lysosomal protein that is sorted in a mannose 6-phosphate (M6P)-dependent manner. We then compared FUCA1 and FUCA2 upon ectopic expression and evaluated their enzyme activity profiles under various conditions. Untagged and differently tagged versions of FUCA1 exhibited α-L-fucosidase activity, while various FUCA2 derivatives, even after affinity purification, did not show any fucosidase activity against commonly used pseudo-substrates. Our findings suggest that FUCA1 and not FUCA2 is exclusively responsible for the lysosomal de-fucosylation of glycoconjugates. Full article

(This article belongs to the Special Issue Cellular and Molecular Mechanisms of Lysosomal Storage Disorders)

23 pages, 385 KB

Open AccessReview

Vectors on the Move: How Climate Change Fuels the Spread of Arboviruses in Europe

by Giulia Carbone, Giulia Boiardi, Claudia Infantino, Daniela Cunico and Susanna Esposito

Microorganisms 2025, 13(9), 2034; https://doi.org/10.3390/microorganisms13092034 (registering DOI) - 30 Aug 2025

Abstract

Climate change is increasingly recognized as a major driver of emerging infectious diseases, particularly vector-borne diseases (VBDs), which are expanding in range and intensity worldwide. Europe, traditionally considered low-risk for many arboviral infections, is now experiencing autochthonous transmission of pathogens such as dengue, chikungunya, Zika virus, West Nile virus, malaria, and leishmaniasis. Rising temperatures, altered precipitation patterns, and milder winters have facilitated the establishment and spread of competent vectors, including Aedes, Anopheles, Phlebotomus, and Culex species, in previously non-endemic areas. These climatic shifts not only impact vector survival and distribution but also influence vector competence and pathogen development, ultimately increasing transmission potential. This narrative review explores the complex relationship between climate change and VBDs, with a particular focus on pediatric populations. It highlights how children may experience distinct clinical manifestations and complications, and how current data on pediatric burden remain limited for several emerging infections. Through an analysis of existing literature and reported outbreaks in Europe, this review underscores the urgent need for enhanced surveillance, integrated vector control strategies, and climate-adapted public health policies. Finally, it outlines research priorities to better anticipate and mitigate future disease emergence in the context of global warming. Understanding and addressing this evolving risk is essential to safeguard public health and to protect vulnerable populations, particularly children, in a rapidly changing climate. Full article

(This article belongs to the Topic Genetic, Environmental, and Climatic Drivers of Emerging Arboviruses and Public Health Implications)

17 pages, 1348 KB

Open AccessArticle

Substantiation of a Rational Model of an Induction Motor in a Predictive Energy-Efficient Control System

by Grygorii Diachenko, Ivan Laktionov, Dariusz Sala, Michał Pyzalski, Oleksandr Balakhontsev and Yuliya Pazynich

Energies 2025, 18(17), 4628; https://doi.org/10.3390/en18174628 (registering DOI) - 30 Aug 2025

Abstract

The development and implementation of scientifically substantiated solutions for the improvement and modernization of electromechanical devices, systems, and complexes, including electric drives, is an urgent theoretical and applied task for energetics, industry, transport, and other key areas, both in global and national contexts. The aim of this paper is to identify a rational model of an induction motor that balances computational simplicity and control system performance based on predictive approaches while ensuring maximum energy efficiency and reference tracking during the operation in dynamic modes. Five main mathematical models of an induction machine with different levels of detail have been selected. Three predictive control models have been implemented using GRAMPC (v 2.2), Matlab MPC Toolbox (v 24.1), and fmincon (R2024a) (from Matlab Optimization Toolbox). It has been established that in the dynamic mode of operation, the equivalent induction motor circuit with parameters ,R_fe = const, L_μ = f(I_1d), and T_F= f(ω_Rm) is the most appropriate in terms of the following criteria: accuracy of control action generation, computation speed, and calculation of energy consumption. Full article

(This article belongs to the Special Issue Advanced Technologies for Electric Machine Optimization and Energy Efficiency Enhancement)

16 pages, 1460 KB

Open AccessArticle

Assessment of the Spatial Relationship Between the Incisive Canal (IC) and Apical Region of the Maxillary Central Incisors in the Korean Population Using Cone-Beam Computed Tomography (CBCT) for Implant Planning

by Alicia Woo Seo, Young Sam Kim, Young Min Park, Ugo Covani, Jeremy Song, Augusto Arrighi, Andrea Butera and Giovanni Battista Menchini-Fabris

Surgeries 2025, 6(3), 75; https://doi.org/10.3390/surgeries6030075 (registering DOI) - 30 Aug 2025

Abstract

Introduction: The aim of this study was to investigate the spatial relationship between the incisive canal (IC) and apical region of the maxillary central incisors in the Korean population, using cone-beam computed tomography (CBCT) imaging. The findings are intended to inform and improve the planning and execution of immediate implant placement in the maxillary esthetic zone. Materials and methods: CBCT data were collected from 94 patients (48 men, 46 women) aged 20–79 years at Gangnam Dental Clinic, Seoul, South Korea. The sample was divided according to age into three groups: 20–39 years, 40–59 years, and 60–79 years. Exclusion criteria included missing maxillary anterior teeth, severe crowding, periodontitis, pathology, and image artifacts. Measurements of the distance from the root apex to the incisive canal (RIC-11-P, RIC-21-P) and from the root apex to the buccal bone (RBB-11-B, RBB-21-B) were taken from CBCT images. Statistical analyses were conducted using Welch’s t-test, ANOVA, and Pearson correlation, with significance set at p < 0.05. Results: The mean distances from the root apex to the incisive canal were 3.77 mm (RIC-11-P) and 3.62 mm (RIC-21-P), while the mean distances to the buccal bone were 0.86 mm and 0.94 mm, respectively. Males exhibited significantly greater distances compared to females, both in the NPC-to-root apex and buccal bone measurements. Age-related variations were observed, with younger individuals showing shorter distances from the IC to the root apex. However, ANOVA tests and Pearson correlation analysis indicated no statistically significant correlation in these distances across different age groups. The study highlights significant gender differences in maxillary central incisor anatomy, with males having larger distances from the root apex to both the IC and buccal bone, which has implications for implant placement. While age-related changes were observed, they did not significantly affect the mean distances in a statistically meaningful way. Conclusions: These findings underscore the need for personalized treatment planning in immediate implant placement, particularly in relation to gender and age. Comparisons with other population studies suggest that these anatomical differences may be consistent across various ethnic groups, though individual variance factors should still be considered. Full article

(This article belongs to the Special Issue Dental Surgery and Care)

25 pages, 5627 KB

Open AccessArticle

Combustion and Emission Analysis of NH₃-Diesel Dual-Fuel Engines Using Multi-Objective Response Surface Optimization

by Omar I. Awad, Mohammed Kamil, Ahmed Burhan, Kumaran Kadirgama, Zhenbin Chen, Omar Khalaf Mohammed and Ahmed Alobaid

Atmosphere 2025, 16(9), 1032; https://doi.org/10.3390/atmos16091032 (registering DOI) - 30 Aug 2025

Abstract

As internal combustion engines (ICEs) remain dominant in maritime transport, reducing their greenhouse gas (GHG) emissions is critical to meeting IMO’s decarbonization targets. Ammonia (NH₃) has gained attention as a carbon-free fuel due to its zero CO₂ emissions and high hydrogen density. However, its low flame speed and high ignition temperature pose combustion challenges. This study investigates the combustion and emission performance of NH₃-diesel dual-fuel engines, applying Response Surface Methodology (RSM) for multi-objective optimization of key operating parameters: ammonia fraction (AF: 0–30%), engine speed (1200–1600 rpm), and altitude (0–2000 m). Experimental results reveal that increasing AF led to a reduction in Brake Thermal Efficiency (BTE) from 39.2% to 37.4%, while significantly decreasing NOₓ emissions by 82%, Total hydrocarbon emissions (THC) by 61%, and CO₂ emissions by 36%. However, the ignition delay increased from 8.2 to 10.8 crank angle degrees (CAD) and unburned NH₃ exceeded 6500 ppm, indicating higher incomplete combustion risks at high AF. Analysis of variance (ANOVA) confirmed AF as the most influential factor, contributing up to 82.3% of the variability in unburned NH₃ and 53.6% in NOₓ. The optimal operating point, identified via desirability analysis, was 20% AF at 1200 rpm and sea level altitude, achieving a BTE of 37.4%, NOₓ of 457 ppm, and unburned NH₃ of 6386 ppm with a desirability index of 0.614. These findings suggest that controlled NH₃ addition, combined with proper speed tuning, can significantly reduce emissions while maintaining engine efficiency in dual-fuel configurations. Full article

(This article belongs to the Special Issue Hydrogen and Combustion Emissions: Atmospheric Pathways, NOₓ Impacts, and Clean Energy Futures)

25 pages, 851 KB

Open AccessArticle

The Green HACCP Approach: Advancing Food Safety and Sustainability

by Mohamed Zarid

Sustainability 2025, 17(17), 7834; https://doi.org/10.3390/su17177834 (registering DOI) - 30 Aug 2025

Abstract

Food safety management has evolved with the Hazard Analysis and Critical Control Point (HACCP) system serving as a global benchmark. However, conventional HACCP does not explicitly address environmental sustainability, leading to challenges such as excessive water use, chemical discharge, and energy inefficiency. Green HACCP extends traditional HACCP by integrating Environmental Respect Practices (ERPs) to fill this critical gap between food safety and sustainability. This study is presented as a conceptual paper based on a structured literature review combined with illustrative industry applications. It analyzes the principles, implementation challenges, and economic viability of Green HACCP, contrasting it with conventional systems. Evidence from recent reports and industry examples shows measurable benefits: water consumption reductions of 20–25%, energy savings of 10–15%, and improved compliance readiness through digital monitoring technologies. It explores how digital technologies—IoT for real-time monitoring, AI for predictive optimization, and blockchain for traceability—enhance efficiency and sustainability. By aligning HACCP with sustainability goals and the United Nations Sustainable Development Goals (SDGs), this paper provides academic contributions including a clarified conceptual framework, quantified advantages, and policy recommendations to support the integration of Green HACCP into global food safety systems. Industry applications from dairy, seafood, and bakery sectors illustrate practical benefits, including waste reduction and improved compliance. This study concludes with policy recommendations to integrate Green HACCP into global food safety frameworks, supporting broader sustainability goals. Overall, Green HACCP demonstrates a cost-effective, scalable, and environmentally responsible model for future food production. Full article

(This article belongs to the Section Sustainable Food)

19 pages, 1480 KB

Open AccessReview

Neuroprotective Effects of Low-Intensity Pulsed Ultrasound in Chronic Traumatic Encephalopathy Induced by Repetitive Head Collisions: A Narrative Review

by Min Zhang, Liang Zhao and Paulo Cesar Lock Silveira

Biology 2025, 14(9), 1148; https://doi.org/10.3390/biology14091148 (registering DOI) - 30 Aug 2025

Abstract

The repeated head impacts experienced by athletes have attracted significant interest from both the public and the scientific community; however, the neurobiological effects following the games are not well understood. For example, a single football match carries the risk of repeated concussive and subconcussive head impacts, which can increase the risk of developing neurodegenerative diseases. Chronic traumatic encephalopathy (CTE) is one of the neurodegenerative conditions athletes often face or are unaware of. However, addressing the disease progression in CTE is difficult to determine due to several reasons, such as the failure to identify risk factors, difficulty in differentiating CTE from other neurodegenerative diseases, and the lack of a specific mechanism by which CTE leads to tau protein accumulation. In addition, CTE symptoms overlap with other neurodegenerative conditions, such as Alzheimer’s disease (AD) and Parkinson’s disease (PD), which poses a challenge to producing specific targeted therapy. In this case, ultrasound represents a promising non-invasive technique that enables clear visualization of brain structures and may modulate neuronal activity. The term ultrasound encompasses various modalities; for example, high-intensity focused ultrasound (HIFU) employs thermal energy to ablate cells, whereas low-intensity pulsed ultrasound (LIPUS) delivers mechanical energy that activates molecular signaling pathways to impede the progression of CTE. Therefore, the LIPUS application could potentially minimize the risk of damage in the surrounding tissues of the brain and reduce the disease progression in individuals with CTE. Nevertheless, limited studies have been reported in the literature, with a poor mechanistic approach. Hence, this review aims to highlight the molecular signaling pathways, such as AKT, MAPK, and ERK, affected by LIPUS and emphasize the need for additional research to clarify its mechanistic effects in CTE management. Ultimately, this review aims to contribute to a nuanced understanding of LIPUS as a therapeutic strategy in addressing the complexities of CTE and its associated neurodegenerative disorders. Full article

(This article belongs to the Section Neuroscience)

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23 pages, 1200 KB

Open AccessArticle

Assessment of Morphological Diversity, Yield Components, and Seed Biochemical Composition in Common Bean (Phaseolus vulgaris L.) Landraces

by Tsvetelina Stoilova, Sofiya Petrova and Lyudmila Simova-Stoilova

Agriculture 2025, 15(17), 1856; https://doi.org/10.3390/agriculture15171856 (registering DOI) - 30 Aug 2025

Abstract

The common bean (Phaseolus vulgaris L.) is a staple legume crop for the Balkan Peninsula, mainly used for food. A large range of landraces well adapted to the local climate are maintained by farmers. The aim of this study was to estimate in field conditions the variability in morphology and seed biochemical composition of fourteen local common bean genotypes. Sixteen morphological and three biological characteristics were evaluated. Considerable morphological variation was found among genotypes. Thirteen genotypes possessed a determinate growth habit, and one of them an indeterminate one. Plant weight without pods, total weight, and the number and weight of pods per plant displayed the highest variation coefficient (CV%) with 54.5, 44.2, 45, and 37.6%, respectively. According to the seed shape, the variation was among kidney, cuboid, and oval. Seed energy value varied from 339 to 347 kcal/100 g, the amount of protein from 21.8 to 27%, lipids content from 1.6 to 2.5%, carbohydrates from 54 to 60%, ash from 4.6 to 5.4%, dietary fibers from 3.3 to 5.9%, tannins from 14 to 21%, phenols from 1.3 to 17.2 mg/g, and antitrypsin activity from 1.2 to 3.1 units/mg FW. Genotypes were classified according to the earliness, plant and seed characteristics, and yield. Genetic material was discerned useful for future research and breeding purposes. Full article

(This article belongs to the Special Issue Genetic Diversity Assessment and Phenotypic Characterization of Crops)

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14 pages, 2753 KB

Open AccessArticle

Effects of Mn and Co Doping on the Electronic Structure and Optical Properties of Cu₂ZnSnS₄

by Xiufan Yang, Xinmao Qin, Wanjun Yan, Chunhong Zhang and Dianxi Zhang

Crystals 2025, 15(9), 781; https://doi.org/10.3390/cryst15090781 (registering DOI) - 30 Aug 2025

Abstract

The electronic structures and optical properties of Mn-doped, Co-doped, and (Mn,Co)-co-doped Cu₂ZnSnS₄ were calculated and analyzed using the first-principles pseudopotential plane-wave approach. The results indicate that doping with Mn or Co increases the bond population and decreases the bond length of the S-Mn and S-Co bonds, respectively, enhancing their covalent character. The undoped Cu₂ZnSnS₄ exhibits a bandgap of 0.16 eV, whereas doping with Mn or Co introduces impurity levels near the Fermi level, resulting in bandgap narrowing. Within the visible light spectrum, the static dielectric constant ε₁(0) reaches its maximum value of 67.7 under co-doping conditions, and the absorption coefficient also attains its maximum value of 6.7 × 10⁴ cm⁻¹ under co-doping. Doping with Mn and Co induces a redshift (shift towards lower energy) in both the absorption peaks and dielectric function peaks, concomitantly increasing the probability of photon-induced electronic transitions. Conversely, doping shifts the reflectivity peaks towards higher energies (blue-shift), with the most pronounced blue-shift occurring under co-doping; the strongest reflectivity peaks remain below 43%. A prominent conductivity peak is observed at 1.7 eV. Doping shifts this peak position towards lower energies, with the maximum peak intensity reaching 1.6. These findings collectively suggest that Mn and Co doping effectively modulate key optical properties of Cu₂ZnSnS₄, such as its band gap and absorption coefficient, constituting an effective strategy for enhancing its optoelectronic transport characteristics. Full article

23 pages, 1144 KB

Open AccessReview

Agarwood in the Modern Era: Integrating Biotechnology and Pharmacology for Sustainable Use

by Aqsa Baig, Adeel Akram and Ming-Kuem Lin

Int. J. Mol. Sci. 2025, 26(17), 8468; https://doi.org/10.3390/ijms26178468 (registering DOI) - 30 Aug 2025

Abstract

Agarwood, valued for its resin, has long been used in perfumery, incense, and traditional medicine. Its resin is primarily derived from species of Aquilaria and is produced through a still-unknown process in response to biotic or abiotic stress. Concerns regarding agarwood’s sustainability and conservation have emerged because of the substantial loss of natural resources due to overharvesting and illegal trade. To address these concerns, artificial techniques are being used to produce agarwood. The mechanism underlying agarwood production must be elucidated to enhance yield. The authentication of agarwood species is challenging because of morphological similarities between pure and hybrid Aquilaria species. Techniques such as DNA barcoding, molecular marker assessment, and metabolomics can ensure accurate identification, facilitating conservation. Artificial intelligence and machine learning can support this process by enabling rapid, automated identification on the basis of genetic and phytochemical data. Advances in resin induction methods (e.g., fungal inoculation) and chemical induction treatments are improving yield and quality. Endophytic fungi and bacteria promote resin production at minimal harm to the tree. Agarwood’s pharmacological potential—antimicrobial, anti-inflammatory, and anticancer effects—has driven research into bioactive compounds such as sesquiterpenes and flavonoids for the development of novel drugs. This systematic review synthesized current evidence on species authentication, induction techniques, and pharmacological properties. The findings may guide future research aimed at ensuring sustainable use and enhancing the medicinal value of agarwood. Full article

(This article belongs to the Section Molecular Biology)

22 pages, 9243 KB

Open AccessArticle

Educational Facility Site Selection Based on Multi-Source Data and Ensemble Learning: A Case Study of Primary Schools in Tianjin

by Zhenhui Sun, Ying Xu, Junjie Ning, Yufan Wang and Yunxiao Sun

ISPRS Int. J. Geo-Inf. 2025, 14(9), 337; https://doi.org/10.3390/ijgi14090337 (registering DOI) - 30 Aug 2025

Abstract

To achieve the objective of a “15 min living circle” for educational services, this study develops an integrated method for primary school site selection in Tianjin, China, by combining multi-source data and ensemble learning techniques. At a 500 m grid scale, a suitability prediction model was constructed based on the existing distribution of primary schools, utilizing Random Forest (RF) and Extreme Gradient Boosting (XGBoost) models. Comprehensive evaluation, feature importance analysis, and SHAP (SHapley Additive exPlanations) interpretation were conducted to ensure model reliability and interpretability. Spatial overlay analysis, incorporating population structure and the education supply–demand ratio, identified highly suitable areas for primary school construction. The results demonstrate: (1) RF and XGBoost achieved evaluation metrics exceeding 85%, outperforming traditional single models such as Logistic Regression, SVM, KNN, and CART. Validation against actual primary school distributions yielded accuracies of 84.70% and 92.41% for RF and XGBoost, respectively. (2) SHAP analysis identified population density, proximity to other educational institutions, and accessibility to transportation facilities as the most critical factors influencing site suitability. (3) Suitable areas for primary school construction are concentrated in central Tianjin and surrounding areas, including Baoping Street (Baodi District), Huaming Street (Dongli District), and Zhongbei Town (Xiqing District), among others, to meet high-quality educational service demands. Full article

(This article belongs to the Special Issue Spatial Information for Improved Living Spaces)

31 pages, 1976 KB

Open AccessArticle

Transcriptomic-Based Classification Identifies Prognostic Subtypes and Therapeutic Strategies in Soft Tissue Sarcomas

by Miguel Esperança-Martins, Hugo Vasques, Manuel Sokolov Ravasqueira, Maria Manuel Lemos, Filipa Fonseca, Diogo Coutinho, Jorge Antonio López, Richard S. P. Huang, Sérgio Dias, Lina Gallego-Paez, Luís Costa, Nuno Abecasis, Emanuel Gonçalves and Isabel Fernandes

Cancers 2025, 17(17), 2861; https://doi.org/10.3390/cancers17172861 (registering DOI) - 30 Aug 2025

Abstract

Background: Soft tissue sarcomas (STSs) histopathological classification system and the clinical and molecular-based tools that are currently employed to estimate its prognosis have several limitations, impacting prognostication and treatment. Clinically driven molecular profiling studies may cover these gaps and offer alternative tools with superior prognostication capability and enhanced precision and personalized treatment approaches identification ability. Materials and Methods: We performed DNA sequencing (DNA-seq) and RNA sequencing (RNA-seq) to portray the molecular profile of 102 samples of high-grade STS, comprising the three most common STS histotypes. Results: The analysis of RNA-seq data using unsupervised machine learning models revealed previously unknown molecular patterns, identifying four transcriptomic subtypes/clusters (TCs). This TC-based classification has a clear prognostic value (in terms of overall survival (OS) and disease-free survival (DFS)), a finding that was externally validated using independent patient cohorts. The prognostic value of this TC-based classification outperforms the prognostic accuracy of clinical-based (SARCULATOR nomograms) and molecular-based (CINSARC) prognostication tools, being one of the first molecular-based classifications capable of predicting OS in STS. The analysis of DNA-seq data from the same cohort revealed numerous and, in some cases, never documented molecular targets for precision treatment across different transcriptomic subtypes. The functional and predictive value of each genomic variant was analyzed using the Molecular Tumor Board Portal. Conclusions: This newly identified TC-based classification offers a superior prognostic value when compared with current gold-standard clinical and molecular-based prognostication tools, and identifies novel molecular targets for precision treatment, representing a cutting-edge tool for predicting prognosis and guiding treatment across different stages of STS. Full article

(This article belongs to the Special Issue News and How Much to Improve in Management of Soft Tissue Sarcomas)

19 pages, 3316 KB

Open AccessArticle

Research on the Mechanism of Reverse Sand Addition in Horizontal Shale Gas Well Fracturing Based on Intergranular Erosion of Proppants in near Wellbore Fractures

by Xuanyu Liu, Faxin Yi, Song Guo, Meijia Zhu and Yujie Bai

Appl. Sci. 2025, 15(17), 9589; https://doi.org/10.3390/app15179589 (registering DOI) - 30 Aug 2025

Abstract

To improve fracturing support efficiency of terrestrial shale oil reservoirs with uneven proppant placement, this study used complex mesh flat-plate simulations and ANSYS FLUENT (2020) simulations to test four sand addition processes. Proppants were 70/140 mesh quartz sand with a density of 2650 kg/m³ and 40/70 mesh ceramic particles with a density of 2000 kg/m³, and the carrier was hydroxypropyl guar gum fracturing fluid with a viscosity of 4.46–13.4 mPa·s at 25 °C. Alternating sand addition performed best: sand-laying efficiency reached 52 percent, 10 percentage points higher than continuous sand addition and 12 percentage points higher than mixed sand addition; sand embankment void area was 1400 cm², 18.3 percent lower than continuous sand addition; proppant entry into secondary cracks increased 23.8 percent compared with reverse sand addition; at branch crack Position 2, 1.3 m from the inlet and at a 90-degree angle, its equilibrium height was 210 mm and paving rate 0.131. This study fills gaps of no systematic multi-process comparison and insufficient quantification of crack geometry–sand parameter coupling in existing research; its novelty lies in the unified visualization comparison of four processes, revealing geometry–parameter coupling and integrating experiment simulation; the optimal scheme also improves fracture support efficiency 21.5 percent compared with conventional continuous sand addition. Full article

(This article belongs to the Topic Enhanced Oil Recovery Technologies, 4th Edition)

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