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Search Results (10,216)

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24 pages, 120861 KiB  
Article
Evaluating the Greenness of Sanandaj City Using Sentinel Imagery in Google Earth Engine
by Werya Lotfi, Neda Abbasi, Ali Cheshmehzangi, Loghman Khodakarami and Hamideh Nouri
Sustainability 2025, 17(8), 3471; https://doi.org/10.3390/su17083471 (registering DOI) - 13 Apr 2025
Abstract
Urban greenery and cooling initiatives have become top priorities for municipalities worldwide as they contribute to improved environmental quality and urban resilience. This study leverages advancements in remote sensing (RS) and cloud-based processing to assess and monitor changes in public urban green spaces [...] Read more.
Urban greenery and cooling initiatives have become top priorities for municipalities worldwide as they contribute to improved environmental quality and urban resilience. This study leverages advancements in remote sensing (RS) and cloud-based processing to assess and monitor changes in public urban green spaces (PUGS) in Sanandaj, Iran. Using high-resolution Sentinel-2 imagery (10 m) processed in Google Earth Engine (GEE), we calculated and mapped the normalized difference vegetation index (NDVI) across 20 major PUGSs over a five-year period, from 2019 to 2023. A total of 507 Sentinel-2 images were analyzed, offering a comprehensive view of seasonal and annual greenness trends. Our findings reveal that May is the peak month for greenery, while February consistently shows the lowest NDVI values, indicating seasonal greenness variability. Specifically, the mean NDVI of PUGSs decreased significantly between 2019 and 2022, with values recorded at 0.735, 0.737, 0.622, 0.417, and 0.570 in the greenest month of each respective year, highlighting a noticeable decline in vegetation health and extent. This reduction can be attributed to water scarcity and suboptimal management practices, as evidenced by dried or underperforming green spaces in recent years. Our results underscore the potential of integrating NDVI-based assessments within urban development frameworks to more accurately define and sustain PUGSs in Sanandaj. This methodology provides a replicable approach for cities aiming to optimize urban greenery management through RS technology. Full article
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15 pages, 295 KiB  
Article
Association of MTNR1B Gene Polymorphisms with Body Mass Index in Hashimoto’s Thyroiditis
by Ivana Škrlec, Zrinka Biloglav, Davor Lešić, Jasminka Talapko, Igor Žabić and Darko Katalinić
Int. J. Mol. Sci. 2025, 26(8), 3667; https://doi.org/10.3390/ijms26083667 (registering DOI) - 12 Apr 2025
Viewed by 108
Abstract
Hashimoto’s thyroiditis (HT) is an autoimmune disorder of the thyroid gland characterized by chronic inflammation, which in most cases results in hypothyroidism. The melatonin receptor MTNR1B is sporadically expressed in the thyroid gland. It modulates immune responses, and alterations in the melatonin–MTNR1B receptor [...] Read more.
Hashimoto’s thyroiditis (HT) is an autoimmune disorder of the thyroid gland characterized by chronic inflammation, which in most cases results in hypothyroidism. The melatonin receptor MTNR1B is sporadically expressed in the thyroid gland. It modulates immune responses, and alterations in the melatonin–MTNR1B receptor signaling pathway may play a role in developing autoimmune diseases. Obesity worsens the severity and progression of some autoimmune diseases and reduces treatment efficacy. This study aimed to investigate the association of MTNR1B gene polymorphisms (rs10830963, rs1387153, and rs4753426) with HT with regards to the body mass index (BMI). Patients with HT were categorized into normal weight BMI ≤ 25 kg/m2 and overweight/obese BMI > 25 kg/m2 groups. This study included 115 patients with a clinical-, ultrasound-, and laboratory-confirmed diagnosis of HT (64 normal-weight patients and 51 overweight/obese patients) with a mean age of 43 ± 12 years. The results showed that specific MTNR1B polymorphisms are associated with obesity in HT patients. BMI was found to be associated with the rs10830963 polymorphism, and the G allele and GG genotype of the rs10830963 polymorphism were more common in overweight/obese HT patients. Furthermore, the results suggest that genetic factors associated with BMI play a role in developing HT and open new possibilities for personalized treatment approaches. Full article
(This article belongs to the Section Molecular Pathology, Diagnostics, and Therapeutics)
19 pages, 9288 KiB  
Article
Neural Mechanism of 5-HT4R-Mediated Memory Enhancement in Hippocampal–Prefrontal Circuits in a Mouse Model of Schizophrenia
by Thomas Gener, Sara Hidalgo-Nieves, Cristina López-Cabezón and Maria Victoria Puig
Int. J. Mol. Sci. 2025, 26(8), 3659; https://doi.org/10.3390/ijms26083659 (registering DOI) - 12 Apr 2025
Viewed by 45
Abstract
We investigated the cellular and neurophysiological mechanisms underlying the pro-cognitive effects of 5-HT4R activation in hippocampal–prefrontal pathways. Our findings show that, in addition to pyramidal neurons, 30–60% of parvalbumin+ interneurons in the CA1, CA3, and dentate gyrus (DG) of the hippocampus and the [...] Read more.
We investigated the cellular and neurophysiological mechanisms underlying the pro-cognitive effects of 5-HT4R activation in hippocampal–prefrontal pathways. Our findings show that, in addition to pyramidal neurons, 30–60% of parvalbumin+ interneurons in the CA1, CA3, and dentate gyrus (DG) of the hippocampus and the anterior cingulate (ACC), prelimbic (PL), and infralimbic (IL) regions of the prefrontal cortex co-express 5-HT4Rs. Additionally, 15% of somatostatin+ interneurons in CA1 and CA3 express 5-HT4Rs. Partial 5-HT4R agonist RS-67333 (1 mg/kg, i.p.) exerted anxiolytic effects and ameliorated short-term (3-min) and long-term (24-h) memory deficits in a mouse model of schizophrenia-like cognitive impairment induced by sub-chronic phencyclidine (sPCP) but did not enhance memory in healthy mice. At the neurophysiological level, RS-67333 normalized sPCP-induced disruptions in hippocampal–prefrontal neural dynamics while having no effect in healthy animals. Specifically, sPCP increased delta oscillations in CA1 and PL, leading to aberrant delta–high-frequency coupling in CA1 and delta–high-gamma coupling in PL. RS-67333 administration attenuated this abnormal delta synchronization without altering phase coherence or signal directionality within the circuit. Collectively, these results highlight the therapeutic potential of 5-HT4R activation in pyramidal, parvalbumin+, and somatostatin+ neurons of hippocampal–prefrontal pathways for mitigation of cognitive and negative symptoms associated with schizophrenia. Full article
(This article belongs to the Special Issue Biological Research of Rhythms in the Nervous System)
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17 pages, 2845 KiB  
Article
Selection of Optimal Diagnostic Positions for Early Nutrient Deficiency in Cucumber Leaves Based on Spatial Distribution of Raman Spectra
by Zhaolong Hou, Yaxuan Wang, Feng Tan, Jiaxin Gao, Feng Jiao, Chunjie Su and Xin Zheng
Plants 2025, 14(8), 1199; https://doi.org/10.3390/plants14081199 (registering DOI) - 12 Apr 2025
Viewed by 64
Abstract
Accurate diagnosis of crop nutritional status is critical for optimizing yield and quality in modern agriculture. This study enhances the accuracy of Raman spectroscopy-based nutrient diagnosis, improving its application in precision agriculture. We propose a method to identify optimal diagnostic positions on cucumber [...] Read more.
Accurate diagnosis of crop nutritional status is critical for optimizing yield and quality in modern agriculture. This study enhances the accuracy of Raman spectroscopy-based nutrient diagnosis, improving its application in precision agriculture. We propose a method to identify optimal diagnostic positions on cucumber leaves for early detection of nitrogen (N), phosphorus (P), and potassium (K) deficiencies, thereby providing a robust scientific basis for high-throughput phenotyping using Raman spectroscopy (RS). Using a dot-matrix approach, we collected RS data across different leaf positions and explored the selection of diagnostic positions through spectral cosine similarity analysis. These results provide critical insights for developing rapid, non-destructive methods for nutrient stress monitoring in crops. Results show that spectral similarity across positions exhibits higher instability during the early developmental stages of leaves or under short-term (24 h) nutrient stress, with significant differences in the stability of spectral data among treatment groups. However, visual analysis of the spatial distribution of positions with lower similarity values reveals consistent spectral similarity distribution patterns across different treatment groups, with the lower similarity values predominantly observed at the leaf margins, near the main veins, and at the leaf base. Excluding low-similarity data significantly improved model performance for early (24 h) nutrient deficiency diagnosis, resulting in higher precision, recall, and F1 scores. Based on these results, the efficacy of the proposed method for selecting diagnostic positions has been validated. It is recommended to avoid collecting RS data from areas near the leaf margins, main veins, and the leaf base when diagnosing early nutrient deficiencies in plants to enhance diagnostic accuracy. Full article
(This article belongs to the Topic Plants Nutrients, 2nd Volume)
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19 pages, 471 KiB  
Article
Characteristics of In-Vitro Starch Digestibility in Wheat Bread with Arabinoxylans, Baked Using Sourdough or Postponed Baking Methods
by Angelika Bieniek and Krzysztof Buksa
Molecules 2025, 30(8), 1722; https://doi.org/10.3390/molecules30081722 - 11 Apr 2025
Viewed by 42
Abstract
The aim of this study was to characterize in vitro digestion of wheat breads baked with sourdough or the postponed baking method without and with arabinoxylan (AX) of different molar mass. The influence of the AX share on the rate of starch digestion, [...] Read more.
The aim of this study was to characterize in vitro digestion of wheat breads baked with sourdough or the postponed baking method without and with arabinoxylan (AX) of different molar mass. The influence of the AX share on the rate of starch digestion, the molar mass of resistant starch (RS) and the pasting characteristics of crumb suspensions of breads baked by the sourdough and postponed baking methods were investigated. Sourdough wheat breads were characterized by contents of very slowly digestible starch (DS) of 1.3% and RS of 1% higher in the crumb, compared to breads baked by the postponed baking method. In the crumb of sourdough breads, after storage for 1 and 3 days, in all variants of the samples (especially with the 2% share of high molar mass AXs), the content of the rapidly digested starch (RDS) fraction decreased, the content of the slowly digestible (SDS) and DS fractions did not change significantly, while the content of the RS fraction increased. In addition, the RS fraction present in the crumb of sourdough breads was generally characterized by a lower molar mass than the RS isolated from the crumb of breads baked by the postponed baking method. The crumb of wheat breads baked using sourdough was characterized by higher viscosity, compared to those baked by the postponed baking method. Full article
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10 pages, 579 KiB  
Article
miR-27a rs895819 Polymorphism and Recurrent Pregnancy Loss in Caucasian Women: A Novel Genetic Risk Factor in a Challenging Fertility Dilemma
by Georgia Panagou, Anastasios Potiris, Dimitra Dedousi, Despoina Mavrogianni, Ioanna Vassilaki, Athanasios Zikopoulos, Efthalia Moustakli, Antonios Sfakianakis, Nikolaos Kathopoulis, Angeliki Gerede, Periklis Panagopoulos, Ekaterini Domali, Peter Drakakis and Sofoklis Stavros
Curr. Issues Mol. Biol. 2025, 47(4), 271; https://doi.org/10.3390/cimb47040271 - 11 Apr 2025
Viewed by 50
Abstract
Background: This case–control study investigates whether miR-27a rs895819 A>G polymorphism is associated with an increased risk of recurrent pregnancy loss (RPL) in Caucasian Greek women. Methods: This study included 93 women with at least two unexplained miscarriages before the 24th week of gestation [...] Read more.
Background: This case–control study investigates whether miR-27a rs895819 A>G polymorphism is associated with an increased risk of recurrent pregnancy loss (RPL) in Caucasian Greek women. Methods: This study included 93 women with at least two unexplained miscarriages before the 24th week of gestation (RPL group) and 107 women with no pregnancy loss history (control group). The miR-27a rs895819 A>G polymorphism was detected using PCR amplification, followed by DraIII-HF restriction enzyme digestion. Results: The GG genotype was linked to a significantly higher risk of RPL (p-value = 0.00005), whereas the AA genotype was associated with a significantly lower risk (p-value = 0.00036). The AG genotype appeared more frequently in women with RPL (49.5% vs. 44.9% in controls), but the difference was not statistically significant (p-value = 0.5139). Conclusions: To our knowledge, this is the first study demonstrating that the miR-27a A>G polymorphism was significantly associated with a higher risk of recurrent miscarriage in Caucasian women. These findings provide evidence that the GG genotype may serve as a potential genetic marker for identifying women at higher risk of recurrent miscarriage, offering valuable insights for genetic counseling and reproductive medicine. Full article
(This article belongs to the Section Molecular Medicine)
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17 pages, 1736 KiB  
Article
Electrical Cell Impedance Sensing (ECIS): Feasibility of a Novel In Vitro Approach to Studying Venom Toxicity and Potential Therapeutics
by Abhinandan Choudhury, Kaitlin Linne, Tommaso C. Bulfone, Tanvir Hossain, Abu Ali Ibn Sina, Philip L. Bickler, Bryan G. Fry and Matthew R. Lewin
Toxins 2025, 17(4), 193; https://doi.org/10.3390/toxins17040193 - 11 Apr 2025
Viewed by 67
Abstract
Snakebite envenoming is often discussed in terms of lethality and limb loss, but local tissue injury and coagulotoxic effects of venom are significantly more common acute manifestations of snakebite envenoming (SBE). Local tissue injury and the hemorrhagic and coagulotoxic effects of venom are [...] Read more.
Snakebite envenoming is often discussed in terms of lethality and limb loss, but local tissue injury and coagulotoxic effects of venom are significantly more common acute manifestations of snakebite envenoming (SBE). Local tissue injury and the hemorrhagic and coagulotoxic effects of venom are challenging to study in live animals and can be ethically fraught due to animal welfare concerns such that attention to the 3Rs of animal welfare motivates the development of in vitro techniques in this arena. Herein, we tested the use of a wound-healing study technique known as Electric Cell-Substrate Impedance Sensing (ECIS) to assess populations of cultured cells exposed to venom with or without sPLA2 and/or metalloprotease inhibitors (varespladib and marimastat, respectively). For comparison, the StarMax coagulation analyzer for coagulotoxicity was further used to evaluate the venoms and the neutralizing capabilities of the abovementioned direct toxin inhibitors (DTIs) against the same venoms examined using ECIS. Three viper and three elapid venoms that were examined for their effects on H1975 cells were Agkistrodon contortrix (Eastern Copperhead), Crotalus helleri (Southern Pacific Rattlesnake), and Vipera ammodytes (Horned Viper) and Naja atra (Chinese Cobra), Naja mossambica (Mozambique Spitting Cobra), and Naja nigricollis (Black-necked Spitting Cobra), respectively. The combination of cellular and coagulation techniques appears to usefully discriminate the in vitro capabilities and limitations of specific inhibitors to inhibit specific venom effects. This study suggests that ECIS with or without concomitant coagulation testing is a feasible method to generate reproducible, meaningful preclinical data and could be used with any type of cell line. Importantly, this approach is both quantitative and has the potential of reducing animal use and suffering during the evaluation of potential therapeutics. To further evaluate the potential of this method, rescue studies should be performed. Full article
(This article belongs to the Special Issue Venoms and Drugs)
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14 pages, 1376 KiB  
Article
Ultra-Wideband Analog Radio-over-Fiber Communication System Employing Pulse-Position Modulation
by Sandis Migla, Kristaps Rubuls, Nikolajs Tihomorskis, Toms Salgals, Oskars Ozolins, Vjaceslavs Bobrovs, Sandis Spolitis and Arturs Aboltins
Appl. Sci. 2025, 15(8), 4222; https://doi.org/10.3390/app15084222 - 11 Apr 2025
Viewed by 47
Abstract
This research presents a novel approach to 28 GHz impulse radio ultra-wideband (IR-UWB) transmission using pulse position modulation (PPM) over an analog radio-over-fiber (ARoF) link, investigating the impact of fiber-based fronthaul on the overall performance of the communication system. In this setup, an [...] Read more.
This research presents a novel approach to 28 GHz impulse radio ultra-wideband (IR-UWB) transmission using pulse position modulation (PPM) over an analog radio-over-fiber (ARoF) link, investigating the impact of fiber-based fronthaul on the overall performance of the communication system. In this setup, an arbitrary waveform generator (AWG) is employed for PPM signal generation, while demodulation is performed with a commercial time-to-digital converter (TDC) based on an event timer. To enhance the reliability of transmitted reference PPM (TR-PPM) signals, the transmission system integrates Gray coding and Consultative Committee for Space Data Systems (CCSDS)-standard-compliant Reed-Solomon (RS) error correcting code (ECC). System performance was evaluated by transmitting pseudorandom binary sequences (PRBSs) and measuring the bit error ratio (BER) across a 5-m wireless link between two 20 dBi gain horn (Ka-band) antennas, with and without a 20 km single-mode optical fiber (SMF) link in transmitter side and ECC at the receiver side. The system achieved a BER of less than 8.17 × 10−7, using a time bin duration of 200 ps and a pulse duration of 100 ps, demonstrating robust performance and significant potential for space-to-ground telecommunication applications. Full article
(This article belongs to the Special Issue Recent Advances in Microwave Devices and Intelligent Systems)
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18 pages, 6464 KiB  
Article
Resting-State fMRI and Post-Ischemic Stroke Functional Recovery: Unraveling Causality and Predicting Therapeutic Targets
by Mu-Zhi Li, Yin-Li Shi, Xiao-Jun He, Si-Cun Wang, Jun Liu, Zhong Wang, Hai-Xia Dang and Ya-Nan Yu
Int. J. Mol. Sci. 2025, 26(8), 3608; https://doi.org/10.3390/ijms26083608 - 11 Apr 2025
Viewed by 59
Abstract
Research on functional recovery after ischemic stroke has primarily focused on non-invasive brain stimulation and motor rehabilitation therapies, while direct pharmacological interventions are relatively underexplored. This study utilized a bidirectional Mendelian randomization approach to investigate the causal relationship between 191 resting-state functional magnetic [...] Read more.
Research on functional recovery after ischemic stroke has primarily focused on non-invasive brain stimulation and motor rehabilitation therapies, while direct pharmacological interventions are relatively underexplored. This study utilized a bidirectional Mendelian randomization approach to investigate the causal relationship between 191 resting-state functional magnetic resonance imaging (rs-fMRI) features and post-ischemic stroke functional recovery (PISFR). Significant rs-fMRI phenotypes were identified, and Mendelian randomization was employed to determine their associated proteins. Bidirectional Mendelian randomization identified four rs-fMRI phenotypes potentially associated with functional recovery after ischemic stroke. Subsequent MR analysis, using pheno12 as the outcome and plasma protein as the exposure, highlighted Fas-Associated protein with Death Domain (FADD) as a significant protein. Further exploration within the protein–protein interaction (PPI) network identified FADD, Cysteinyl Aspartate Specific Proteinase 8 (CASP8), and Receptor-Interacting Serine/Threonine-Protein Kinase 1 (RIPK1) as potential drug targets. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses indicated that these proteins are involved in the extrinsic apoptotic pathway, providing new insights for pharmacological strategies in post-ischemic stroke recovery. This study offers genetic evidence linking rs-fMRI to functional recovery post-ischemic stroke and identifies potential drug targets that may facilitate therapeutic interventions to enhance recovery after ischemic stroke. Full article
(This article belongs to the Section Molecular Neurobiology)
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28 pages, 40407 KiB  
Article
FreeMix: Open-Vocabulary Domain Generalization of Remote-Sensing Images for Semantic Segmentation
by Jingyi Wu, Jingye Shi, Zeyong Zhao, Ziyang Liu and Ruicong Zhi
Remote Sens. 2025, 17(8), 1357; https://doi.org/10.3390/rs17081357 - 11 Apr 2025
Viewed by 123
Abstract
In this study, we present a novel concept termed open-vocabulary domain generalization (OVDG), which we investigate within the context of semantic segmentation. OVDG presents greater difficulty compared to conventional domain generalization, yet it offers greater practicality. It jointly considers (1) recognizing both base [...] Read more.
In this study, we present a novel concept termed open-vocabulary domain generalization (OVDG), which we investigate within the context of semantic segmentation. OVDG presents greater difficulty compared to conventional domain generalization, yet it offers greater practicality. It jointly considers (1) recognizing both base and novel classes and (2) generalizing to unseen domains. In OVDG, only the labels of base classes and the images from source domains are available to learn a robust model. Then, the model could be generalized to images from novel classes and target domains directly. In this paper, we propose a dual-branch FreeMix module to implement the OVDG task effectively in a universal framework: the base segmentation branch (BSB) and the entity segmentation branch (ESB). First, the entity mask is introduced as a novel concept for segmentation generalization. Additionally, semantic logits are learned for both the base mask and the entity mask, enhancing the diversity and completeness of masks for both base classes and novel classes. Second, the FreeMix utilizes pretrained self-supervised learning on large-scale remote-sensing data (RS_SSL) to extract domain-agnostic visual features for decoding masks and semantic logits. Third, a training tactic called dataset-aware sampling (DAS) is introduced for multi-source domain learning, aimed at improving the overall performance. In summary, RS_SSL, ESB, and DAS can significantly improve the generalization ability of the model on both a class level and a domain level. Experiments demonstrate that our method produces state-of-the-art results on several remote-sensing semantic-segmentation datasets, including Potsdam, GID5, DeepGlobe, and URUR, for OVDG. Full article
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15 pages, 1322 KiB  
Article
Toll-like Receptor Gene Polymorphisms as Predictive Biomarkers for Response to Infliximab in Japanese Patients with Crohn’s Disease
by Jingjing Wei, Hiroki Kurumi, Hajime Isomoto, Ryohei Ogihara, Kayoko Matsushima, Haruhisa Machida, Tetsuya Ishida, Tatsuro Hirayama, Naoyuki Yamaguchi, Yukina Yoshida and Kazuhiro Tsukamoto
Diagnostics 2025, 15(8), 971; https://doi.org/10.3390/diagnostics15080971 - 10 Apr 2025
Viewed by 70
Abstract
Objectives: To explore the possible relationship between Toll-like receptor (TLR) gene encoding and a predictive outcome for the loss of response (LOR) to IFX treatment among Japanese patients with Crohn’s disease (CD). Methods: An association analysis that involved 25 single-nucleotide polymorphisms [...] Read more.
Objectives: To explore the possible relationship between Toll-like receptor (TLR) gene encoding and a predictive outcome for the loss of response (LOR) to IFX treatment among Japanese patients with Crohn’s disease (CD). Methods: An association analysis that involved 25 single-nucleotide polymorphisms (SNPs) across the TLR1, TLR2, TLR4, TLR6, TLR9, and TLR10 genes was performed on a cohort of 127 Japanese patients with CD. The therapeutic responses were evaluated at 10 weeks, 1 year, and 2 years using three different inheritance models. Results: The CD patients with a G/G genotype of rs5743565 in TLR1 were significantly less likely in the responders at 10 weeks compared with the non-responders (p = 0.023, OR = 0.206). The frequencies of the C/T or T/T genotypes of rs5743604 in the TLR1, G/A, or A/A genotypes of rs13105517 in TLR2, both in the minor allele dominant model, were significantly higher in the responders at 10 weeks as compared with those in the non-responders (p = 0.035, OR = 4.401; p = 0.017, OR = 5.473). The patients with an A/A genotype of rs13105517 in TLR2 in the minor allele recessive model were significantly less likely in the responders at one year of IFX treatment compared with those in the non-responders (p = 0.004, OR = 0.195). Conclusions: The polymorphisms of TLR1 and TLR2 can be useful as biomarkers for predicting initial and secondary LOR to IFX in Japanese CD patients. The IFX response in genetic testing may target molecules for new drugs to overcome the non-response and LOR to IFX. Full article
(This article belongs to the Section Pathology and Molecular Diagnostics)
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14 pages, 653 KiB  
Article
The Protective Effect of FOXO3 rs2802292 G-Allele on Food Intake in a Southern Italian Cohort Affected by MASLD
by Rossella Donghia, Elisabetta Di Nicola, Rossella Tatoli, Giovanna Forte, Martina Lepore Signorile, Caterina Bonfiglio, Marialaura Latrofa, Katia De Marco, Andrea Manghisi, Vittoria Disciglio, Candida Fasano, Paola Sanese, Filomena Cariola, Antonia Lucia Buonadonna, Gianluigi Giannelli, Valentina Grossi and Cristiano Simone
Nutrients 2025, 17(8), 1315; https://doi.org/10.3390/nu17081315 - 10 Apr 2025
Viewed by 108
Abstract
Background: Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) is a cluster of conditions characterized by accumulations of fat, metabolic factors such as obesity, diabetes and high cholesterol. MASLD is now the leading cause of chronic liver disease worldwide, with a rapidly increasing trend. [...] Read more.
Background: Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) is a cluster of conditions characterized by accumulations of fat, metabolic factors such as obesity, diabetes and high cholesterol. MASLD is now the leading cause of chronic liver disease worldwide, with a rapidly increasing trend. We aimed to demonstrate that genetic variants of rs2802292 SNP can influence the development of MASLD even after many years. Methods: We studied 650 participants from the NUTRIHEP cohort, both at baseline (2005–2006) and at first recall (2014–2018), and genotyped rs2802292. The validated European Prospective Investigation into Cancer and Nutrition (EPIC) questionnaire was administered during the visit, and each single food was assigned to one of 33 groups. Results: Associations of food intake at baseline with MASLD were found in the first recall, for each genotype, GG, GT, and TT, and several covariates were used to adjust models. Dressing fats other than olive oil resulted protection against MASLD in GG subjects, whereas seed oil, juices, and spirits resulted in protection against MASLD for GT subjects. An increased risk of MASLD was found for subjects with the TT genotype for white meat intake (OR = 1.018, p = 0.031, 1.002 to 1.035 95% C.I.), ready-to-eat dishes (OR = 1.015, p = 0.033, 1.001 to 1.029 95% C.I.), processed meat (OR = 1.093, p = 0.003, 1.031 to 1.158 95% C.I.), and processed fish (OR = 1.085, p = 0.037, 1.005 to 1.172 95% C.I.). Conclusions: Subjects with the TT genotype had a higher risk of developing MASLD than subjects with other genotypes. A healthier lifestyle is important to counteract liver disease. Full article
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21 pages, 1247 KiB  
Article
Association of Lower COMT Activity Alleles with Aggressive Traits in Male Youth with Conduct Disorder Living in a Correctional Facility
by Lucija Tudor, Josip Podobnik, Gordana Nedic Erjavec, Matea Nikolac Perkovic, Jaanus Harro, Margus Kanarik, Darko Marcinko, Dubravka Svob Strac, Melita Cusek, Vlatka Kovac and Nela Pivac
Biomolecules 2025, 15(4), 554; https://doi.org/10.3390/biom15040554 - 9 Apr 2025
Viewed by 72
Abstract
Aggression constitutes a significant behavioral issue associated with delinquent behavior, commonly observed in youth diagnosed with conduct disorder (CD) and living in correctional facilities. Catechol-o-methyl-transferase (COMT) gene variants modify the environmental sensitivity associated with the risk of aggression. This study evaluated the association [...] Read more.
Aggression constitutes a significant behavioral issue associated with delinquent behavior, commonly observed in youth diagnosed with conduct disorder (CD) and living in correctional facilities. Catechol-o-methyl-transferase (COMT) gene variants modify the environmental sensitivity associated with the risk of aggression. This study evaluated the association of COMT rs4680 and rs4818 polymorphisms with aggressive behavior in 341 male adolescents living inside and outside a correctional facility, with or without a diagnosis of CD. Aggression was assessed using the Hare Psychopathy Checklist: Youth Version (PCL-YV), Modified Overt Aggression Scale (MOAS) and Swanson, Nolan and Pelham Questionnaire. COMT rs4680 and rs4818 polymorphisms were genotyped using TaqMan SNP Genotyping Assays. A similar prevalence of the COMT genotypes or haplotypes was found between adolescents with or without CD, suicidal behavior, or detention in correctional facility. In youth with CD, the COMT rs4680 A allele was associated with higher MOAS verbal aggression, aggression toward objects, irritability (subjective and open), and PCL-YV interpersonal domain scores compared with carriers of the COMT rs4680 G allele. COMT rs4818 GC carriers with CD had higher scores on the MOAS subjective irritability than GG heterozygotes. These novel findings revealed the association of lower COMT rs4680 and rs4818 activity alleles with aggression in detained male adolescents with CD. Full article
(This article belongs to the Special Issue Insights from the Editorial Board Members)
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21 pages, 7933 KiB  
Review
A Review of the Evolution of Residual Stresses in Additive Manufacturing During Selective Laser Melting Technology
by Peiying Bian, Ali Jammal, Kewei Xu, Fangxia Ye, Nan Zhao and Yun Song
Materials 2025, 18(8), 1707; https://doi.org/10.3390/ma18081707 - 9 Apr 2025
Viewed by 174
Abstract
Residual stress (RS) is one of the main reasons for component failure during an additive manufacturing (AM) process, especially using selective laser melting (SLM) technology. This paper reviews RS’s investigation methods, formation mechanisms and regularities of distribution. When considering recent research progress, studies [...] Read more.
Residual stress (RS) is one of the main reasons for component failure during an additive manufacturing (AM) process, especially using selective laser melting (SLM) technology. This paper reviews RS’s investigation methods, formation mechanisms and regularities of distribution. When considering recent research progress, studies indicate that the dominant stress is primarily attributed to thermal stress induced by significant laser temperature gradients during the rapid melting and forming process, which subsequently transforms into RS upon cooling to room temperature, as verified by simulation and experiments. Then, the distribution regularities of RS are analyzed. SLM RS gradually increases when it is measured from the surface layer to the substrate. In the plane direction, at the center and edge of the part, tensile stresses are found; as for the middle area, which is the transition area of compressive stress, the whole plane stress remains in an equilibrium state. Based on the forementioned conclusions, the three-dimensional distribution diagram of RS on the sample was constructed. Finally, the strategic approaches for stress mitigation are briefly discussed. The excessive stress in forming can be reduced by process parameter matching, and the RS can be greatly remitted by pre-treatment/post-treatment, so as to improve the quality of formed parts. This review provides a valuable theoretical basis for practical applications of SLM. Full article
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21 pages, 1426 KiB  
Article
Adaptive Conditional Reasoning for Remote Sensing Visual Question Answering
by Yiqun Gao, Zongwen Bai, Meili Zhou, Bolin Jia, Peiqi Gao and Rui Zhu
Remote Sens. 2025, 17(8), 1338; https://doi.org/10.3390/rs17081338 - 9 Apr 2025
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Abstract
Remote Sensing Visual Question Answering (RS-VQA) is a research task that combines remote sensing image processing and natural language understanding. The increasing complexity and diversity of question types in Remote Sensing Visual Question Answering (RS-VQA) pose significant challenges for unified multimodal reasoning within [...] Read more.
Remote Sensing Visual Question Answering (RS-VQA) is a research task that combines remote sensing image processing and natural language understanding. The increasing complexity and diversity of question types in Remote Sensing Visual Question Answering (RS-VQA) pose significant challenges for unified multimodal reasoning within a single model architecture. Therefore, we propose the Adaptive Conditional Reasoning (ACR) network, a novel framework that dynamically tailors reasoning pathways to question semantics through type-aware feature fusion. The ACR module selectively applies different reasoning strategies depending on whether the question is open-ended or closed-ended, thereby tailoring the reasoning process to the specific nature of the question. In order to enhance the multimodal fusion process of different types of questions, the ACR model further integrates visual and textual features by leveraging type-guided cross-attention. Meanwhile, we use a Dual-Reconstruction Feature Enhancer that mitigates spatial and channel redundancy in remote sensing images via spatial and channel reconstruction convolution, enhancing discriminative feature extraction for key regions. Experimental results demonstrate that our method achieves 78.5% overall accuracy on the EarthVQA dataset, showcasing the effectiveness of adaptive reasoning in remote sensing application. Full article
(This article belongs to the Special Issue Artificial Intelligence Remote Sensing for Earth Observation)
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