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13 pages, 1574 KiB  
Article
SnapStick: Merging AI and Accessibility to Enhance Navigation for Blind Users
by Shehzaib Shafique, Gian Luca Bailo, Silvia Zanchi, Mattia Barbieri, Walter Setti, Giulio Sciortino, Carlos Beltran, Alice De Luca, Alessio Del Bue and Monica Gori
Technologies 2025, 13(7), 297; https://doi.org/10.3390/technologies13070297 - 11 Jul 2025
Viewed by 218
Abstract
Navigational aids play a vital role in enhancing the mobility and independence of blind and visually impaired (VI) individuals. However, existing solutions often present challenges related to discomfort, complexity, and limited ability to provide detailed environmental awareness. To address these limitations, we introduce [...] Read more.
Navigational aids play a vital role in enhancing the mobility and independence of blind and visually impaired (VI) individuals. However, existing solutions often present challenges related to discomfort, complexity, and limited ability to provide detailed environmental awareness. To address these limitations, we introduce SnapStick, an innovative assistive technology designed to improve spatial perception and navigation. SnapStick integrates a Bluetooth-enabled smart cane, bone-conduction headphones, and a smartphone application powered by the Florence-2 Vision Language Model (VLM) to deliver real-time object recognition, text reading, bus route detection, and detailed scene descriptions. To assess the system’s effectiveness and user experience, eleven blind participants evaluated SnapStick, and usability was measured using the System Usability Scale (SUS). In addition to the 94% accuracy, the device received an SUS score of 84.7%, indicating high user satisfaction, ease of use, and comfort. Participants reported that SnapStick significantly improved their ability to navigate, recognize objects, identify text, and detect landmarks with greater confidence. The system’s ability to provide accurate and accessible auditory feedback proved essential for real-world applications, making it a practical and user-friendly solution. These findings highlight SnapStick’s potential to serve as an effective assistive device for blind individuals, enhancing autonomy, safety, and navigation capabilities in daily life. Future work will explore further refinements to optimize user experience and adaptability across different environments. Full article
(This article belongs to the Section Assistive Technologies)
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16 pages, 2024 KiB  
Article
Recovering Immunogenic Orthohantavirus puumalaense N Protein from Pellets of Recombinant Escherichia coli
by Natalya Andreeva, Ekaterina Martynova, Polina Elboeva, Milana Mansurova, Ilnur Salafutdinov, Aleksandr Aimaletdinov, Rafil Khairullin, Diksha Sharma, Manoj Baranwal, Sara Chandy, Dilbar Dalimova, Alisher Abdullaev, Mirakbar Yakubov, Albert Rizvanov, Svetlana Khaiboullina, Yuriy Davidyuk and Emmanuel Kabwe
Vaccines 2025, 13(7), 744; https://doi.org/10.3390/vaccines13070744 - 10 Jul 2025
Viewed by 373
Abstract
(1) Background: Hemorrhagic fever with renal syndrome (HFRS) remains a prevalent zoonosis in Eurasia. Orthohantavirus puumalaense (PUUV), carried by bank voles (Myodes glareolus), is the principal zoonotic pathogen of HFRS in this region. Despite ongoing efforts to develop effective drugs and [...] Read more.
(1) Background: Hemorrhagic fever with renal syndrome (HFRS) remains a prevalent zoonosis in Eurasia. Orthohantavirus puumalaense (PUUV), carried by bank voles (Myodes glareolus), is the principal zoonotic pathogen of HFRS in this region. Despite ongoing efforts to develop effective drugs and vaccines against PUUV, this challenge remains. (2) Aim: In this study, we aimed to express a large quantity of the PUUV recombinant N (rN) protein using E. coli. We also sought to develop a protocol for extracting the rN protein from pellets, solubilizing, and refolding it to restore its native form. This protocol is crucial for producing a large quantity of rN protein to develop vaccines and diagnostic tools for HFRS. (3) Methods; PUUV S segment open reading frame (ORF) coding for N protein was synthesized and cloned into the plasmid vector pET-28 (A+). The ORF was transformed, expressed and induced in BL21(DE3) pLysS E. coli strain. Subsequently, rN protein was purified using immobilized metal affinity and ion chromatography. Immune reactivity of rN protein was tested by employing in house and commercial VektoHanta-IgG kit ELISA methods (both in vitro and in vivo). (4) Results: The best conditions for scaling up the expression of the PUUV rN protein were an incubation temperature of 20 °C during a 20 h incubation period, followed by induction with 0.5 mM IPTG. The most significant protein yield was achieved when the pellets were incubated in denaturing buffer with 8M urea. The highest yield of refolded proteins was attained using non-denaturing buffer (50 mM Tris-HCl) supplemented with arginine. A final 50 μL of PUUV rN protein solution with a concentration of 7 mg/mL was recovered from 1 L of culture. The rN protein elicited an antibody response in vivo and reacted with serum taken from patients with HFRS by ELISA in vitro. (5) Conclusion: Therefore, the orthohantavirus N protein’s ability to elicit immune response in vivo suggests that it can be used to develop vaccines against PUUV after conducting in vitro and in vivo studies to ascertain neutralising antibodies. Full article
(This article belongs to the Special Issue Protein- and Subunit-Based Vaccines)
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19 pages, 2244 KiB  
Review
Artificial Turf Versus Natural Grass: A Case Study of Environmental Effects, Health Risks, Safety, and Cost
by Iman S. Cumberbatch, Leonard Richardson, Emma Grant-Bier, Mustafa Kayali, Mutanu Mbithi, Roberto F. Riviere, Eline Xia, Hailey Spinks, Gabrielle Mills and Amy R. Tuininga
Sustainability 2025, 17(14), 6292; https://doi.org/10.3390/su17146292 - 9 Jul 2025
Viewed by 415
Abstract
While natural grass has been a reliable recreational surface for decades, artificial turf has gained popularity due to its durability, supposed ability to save water, and lower associated costs for municipalities and schools. Growing environmental and health concerns associated with artificial turf have [...] Read more.
While natural grass has been a reliable recreational surface for decades, artificial turf has gained popularity due to its durability, supposed ability to save water, and lower associated costs for municipalities and schools. Growing environmental and health concerns associated with artificial turf have prompted a necessary comparison of the environmental impact, chemical exposure, injury rates, surface heat, and costs of turf with natural grass. The township of Verona, New Jersey, engaged the PSEG Institute for Sustainability Studies’ Green Teams Program interns to perform an environmental impact assessment, literature review, and cost–benefit analysis to determine if the township should restore an aging artificial turf field in the town to natural grass. The environmental impact assessment revealed concerns regarding artificial turf’s high emission profile, microplastic pollution, lack of permeability, and the presence of per- and polyfluoroalkyl substances (PFAS). Natural grass’ high water usage was also identified as a drawback. The literature review revealed safety concerns of artificial turf regarding temperature disparities and no conclusive results regarding differences in overall injury rates. The artificial turf field in this case study was 182% hotter than the natural grass field when measured by an infrared thermometer during mid-day readings in June. The cost–benefit analysis revealed that natural grass offers a lower long-term expense over a 25-year period. Artificial turf has many benefits; however, natural grass was the recommended option when considering environmental sustainability, reduced chemical exposure, lower surface temperatures, and overall cost. The conclusions may further inform policy decisions and support the adoption of environmentally responsible and health-centered practices for sports fields across municipalities in New Jersey and beyond. Full article
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14 pages, 1323 KiB  
Article
Using a Deep Learning-Based Decision Support System to Predict Emergent Large Vessel Occlusion Using Non-Contrast Computed Tomography
by Seong-Joon Lee, Dohyun Kim, Dae Han Choi, Yong Su Lim, Gyuha Park, Sumin Jung, Soohwa Song, Ji Man Hong, Dong Hoon Shin, Myeong Jin Kim and Jin Soo Lee
J. Clin. Med. 2025, 14(13), 4635; https://doi.org/10.3390/jcm14134635 - 30 Jun 2025
Viewed by 302
Abstract
Background: This retrospective, multi-reader, blinded, pivotal trial assessed the performance of artificial intelligence (AI)-based clinical decision support system used to improve the clinician detection of emergent large vessel occlusion (ELVO) using brain non-contrast computed tomography (NCCT) images. Methods: We enrolled 477 patients, of [...] Read more.
Background: This retrospective, multi-reader, blinded, pivotal trial assessed the performance of artificial intelligence (AI)-based clinical decision support system used to improve the clinician detection of emergent large vessel occlusion (ELVO) using brain non-contrast computed tomography (NCCT) images. Methods: We enrolled 477 patients, of which 112 had anterior circulation ELVO, and 365 served as controls. First, patients were evaluated by the consensus of four clinicians without AI assistance through the identification of ELVO using NCCT images. After a 2-week washout period, the same investigators performed an AI-assisted evaluation. The primary and secondary endpoints in ELVO prediction between unassisted and assisted readings were sensitivity and specificity and AUROC and individual-level sensitivity and specificity, respectively. The standalone predictive ability of the AI system was also analyzed. Results: The assisted evaluations resulted in higher sensitivity and specificity than the unassisted evaluations at 75.9% vs. 92.0% (p < 0.01) and 83.0% vs. 92.6% (p < 0.01) while also resulting in higher accuracy and AUROC at 81.3% vs. 92.5%, (p < 0.01) and 0.87 [95% CI: 0.84–0.90] vs. 0.95 [95% CI: 0.93–0.97] (p < 0.01). Furthermore, the AI system improved sensitivity and specificity for three and four readers, respectively, and had a standalone sensitivity of 88.4% (95% CI: 81.0–93.7) and a specificity of 91.2% (95% CI: 87.9–93.9). Conclusions: This study shows that an AI-based clinical decision support system can improve the clinical detection of ELVO using NCCT. Moreover, the AI system may facilitate acute stroke reperfusion therapy by assisting physicians in the initial triaging of patients, particularly in thrombectomy-incapable centers. Full article
(This article belongs to the Section Clinical Neurology)
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7 pages, 426 KiB  
Proceeding Paper
Using Artificial Intelligence to Support Students in Developing Startup Products in English as a Foreign Language Course
by Wen-Chi Hu and Shih-Tsung Hsu
Eng. Proc. 2025, 98(1), 23; https://doi.org/10.3390/engproc2025098023 - 27 Jun 2025
Viewed by 171
Abstract
We explored the use of artificial intelligence (AI) in enhancing the English proficiency of students in the English as a Foreign Language (EFL) course through a startup product development curriculum. In the course, real-world business scenarios of startup companies were offered for students [...] Read more.
We explored the use of artificial intelligence (AI) in enhancing the English proficiency of students in the English as a Foreign Language (EFL) course through a startup product development curriculum. In the course, real-world business scenarios of startup companies were offered for students to analyze English communication skills on crowdfunding platforms and in product promotional videos. The EFL students used entrepreneurial skills to create and present their product videos in a team to the class who acted as potential investors. Pre- and post-test analyses were conducted to assess the impact of AI-assisted learning on enhancing English listening and reading ability. Significant improvements were observed, suggesting AI-enhanced entrepreneurial experiences and the listening and reading ability of the EFL students. Full article
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22 pages, 548 KiB  
Article
Readability Formulas for Elementary School Texts in Mexican Spanish
by Daniel Fajardo-Delgado, Lino Rodriguez-Coayahuitl, María Guadalupe Sánchez-Cervantes, Miguel Ángel Álvarez-Carmona and Ansel Y. Rodríguez-González
Appl. Sci. 2025, 15(13), 7259; https://doi.org/10.3390/app15137259 - 27 Jun 2025
Viewed by 212
Abstract
Readability formulas are mathematical functions that assess the ‘difficulty’ level of a given text. They play a crucial role in aligning educational texts with student reading abilities; however, existing models are often not tailored to specific linguistic or regional contexts. This study aims [...] Read more.
Readability formulas are mathematical functions that assess the ‘difficulty’ level of a given text. They play a crucial role in aligning educational texts with student reading abilities; however, existing models are often not tailored to specific linguistic or regional contexts. This study aims to develop and evaluate two novel readability formulas specifically designed for the Mexican Spanish language, targeting elementary education levels. The formulas were trained on a corpus of 540 texts drawn from official elementary-level textbooks issued by the Mexican public education system. The first formula was constructed using multiple linear regression, emulating the structure of traditional readability models. The second was derived through genetic programming (GP), a machine learning technique that evolves symbolic expressions based on training data. Both approaches prioritize interpretability and use standard textual features, such as sentence length, word length, and lexical and syntactic complexity. Experimental results show that the proposed formulas outperform several well-established Spanish and non-Spanish readability formulas in distinguishing between grade levels, particularly for early and intermediate stages of elementary education. The GP-based formula achieved the highest alignment with target grade levels while maintaining a clear analytical form. These findings underscore the potential of combining machine learning with interpretable modeling techniques and highlight the importance of linguistic and curricular adaptation in readability assessment tools. Full article
(This article belongs to the Special Issue Machine Learning and Soft Computing: Current Trends and Applications)
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12 pages, 872 KiB  
Article
Are Disturbances in Mentalization Ability Similar Between Schizophrenic Patients and Borderline Personality Disorder Patients?
by Yaseen Awad-Igbaria, Tair Bar, Essam Ikshaibon, Muhammad Abu-Alhiga, Tamar Peleg, Eilam Palzur, Idit Golani, Ido Peleg and Alon Shamir
Psychiatry Int. 2025, 6(3), 77; https://doi.org/10.3390/psychiatryint6030077 - 27 Jun 2025
Viewed by 281
Abstract
There is a growing interest in ToM performance among individuals with psychiatric disorders. However, the difference and the performance level between different diagnoses are unclear. Here, we compared the ToM abilities of schizophrenia (SZ), schizoaffective (SZaff), and borderline personality individuals (BPD) with healthy [...] Read more.
There is a growing interest in ToM performance among individuals with psychiatric disorders. However, the difference and the performance level between different diagnoses are unclear. Here, we compared the ToM abilities of schizophrenia (SZ), schizoaffective (SZaff), and borderline personality individuals (BPD) with healthy individuals. Individuals with SZ (n = 44), SZaff (n = 11), BPD (n = 11), and healthy individuals (n = 18) were recruited from Mazor Mental Health Center. All groups underwent the Reading Mind in the Eyes (RME) and the Faux Pas recognition test (FB) to assess TOM ability and completed empathy and autism questionnaires. The current results show that the three diagnostic groups performed worse in the RME and FB test compared to healthy individuals. However, women with BPD performed significantly better in ToM tasks than women with SZ and SZaff. Individuals with schizophrenia and BPD scored higher on the autism spectrum questionnaire, while all the diagnostic groups scored lower on the empathy quotient scale than healthy individuals. Finally, a positive correlation was found between ToM ability and empathy. Strikingly, our findings challenge the ability to use ToM as a differential clinical diagnostic tool, especially among men, and strengthen the correlation between decreased empathy and impaired ToM. Full article
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25 pages, 898 KiB  
Article
GenAI-Powered Text Personalization: Natural Language Processing Validation of Adaptation Capabilities
by Linh Huynh and Danielle S. McNamara
Appl. Sci. 2025, 15(12), 6791; https://doi.org/10.3390/app15126791 - 17 Jun 2025
Viewed by 444
Abstract
The authors conducted two experiments to assess the alignment between Generative AI (GenAI) text personalization and hypothetical readers’ profiles. In Experiment 1, four LLMs (i.e., Claude 3.5 Sonnet, Llama, Gemini Pro 1.5, and ChatGPT 4) were prompted to tailor 10 science texts (i.e., [...] Read more.
The authors conducted two experiments to assess the alignment between Generative AI (GenAI) text personalization and hypothetical readers’ profiles. In Experiment 1, four LLMs (i.e., Claude 3.5 Sonnet, Llama, Gemini Pro 1.5, and ChatGPT 4) were prompted to tailor 10 science texts (i.e., biology, chemistry, and physics) to accommodate four different profiles varying in knowledge, reading skills, and learning goals. Natural Language Processing (NLP) was leveraged to evaluate the GenAI-adapted texts using an array of linguistic and semantic features empirically associated with text readability. NLP analyses revealed variations in the degree to which the LLMs successfully adjusted linguistic features to suit reader profiles. Most notably, NLP highlighted inconsistent alignment between potential reader abilities and text complexity. The results pointed toward the need to augment the AI prompts using personification, chain-of-thought, and documents regarding text comprehension, text readability, and individual differences (i.e., leveraging RAG). The resulting text modifications in Experiment 2 were better aligned with readers’ profiles. Augmented prompts resulted in LLM modifications with more appropriate cohesion features tailored to high- and low-knowledge readers for optimal comprehension. This study demonstrates how LLMs can be prompted to modify text and uniquely demonstrates the application of NLP to evaluate theory-driven content personalization using GenAI. NLP offers an efficient, real-time solution to validate personalized content across multiple domains and contexts. Full article
(This article belongs to the Special Issue Applied Intelligence in Natural Language Processing)
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19 pages, 288 KiB  
Article
Teaching Older Struggling Readers: Novice 4–12th General and Special Education Teachers’ Knowledge of Foundational Reading Skills
by Erin K. Washburn and Abby Pierce
Educ. Sci. 2025, 15(6), 745; https://doi.org/10.3390/educsci15060745 - 13 Jun 2025
Viewed by 497
Abstract
There is a need for teachers in 4–12th grade to possess strong foundational reading skills to support older students who persistently struggle with reading. The present study examined novice, 4–12th grade teachers’ knowledge of foundational reading skills and their perceptions of and beliefs [...] Read more.
There is a need for teachers in 4–12th grade to possess strong foundational reading skills to support older students who persistently struggle with reading. The present study examined novice, 4–12th grade teachers’ knowledge of foundational reading skills and their perceptions of and beliefs about teaching reading using the Survey of Reading-Related Knowledge and Perceptions. Participating novice teachers (n = 333) included elementary general education teachers (n = 113), special education elementary teachers (n = 120), secondary general education teachers (n = 73), and special education secondary teachers (n = 27). Survey data were analyzed using descriptive and inferential statistics. Results indicated that novice teachers, on average, scored below 50% on reading-related knowledge items. Novice teachers, on average, self-reported higher scores for their beliefs and perceived ability to teach reading than their actual knowledge of foundational reading skills. Implications for supporting novice teacher knowledge related to foundational reading skills are provided. Full article
(This article belongs to the Special Issue Students with Special Educational Needs in Reading and Writing)
14 pages, 2240 KiB  
Article
A Low-Power Read-Decoupled Radiation-Hardened 16T SRAM for Space Applications
by Sung-Jun Lim and Sung-Hun Jo
Appl. Sci. 2025, 15(12), 6536; https://doi.org/10.3390/app15126536 - 10 Jun 2025
Viewed by 392
Abstract
Advancements in CMOS technology have significantly reduced both transistor dimensions and inter-device spacing, leading to a lower critical charge at sensitive nodes. As a result, SRAM cells used in space applications have become increasingly vulnerable to single-event upset (SEU) caused by the harsh [...] Read more.
Advancements in CMOS technology have significantly reduced both transistor dimensions and inter-device spacing, leading to a lower critical charge at sensitive nodes. As a result, SRAM cells used in space applications have become increasingly vulnerable to single-event upset (SEU) caused by the harsh radiation environment. To ensure reliable operation under such conditions, radiation-hardened SRAM designs are essential. In this paper, we propose a low-power read-decoupled radiation-hardened 16T (LDRH16T) SRAM cell to mitigate the effects of SEU. The proposed cell is evaluated against several state-of-the-art soft-error-tolerant SRAM designs, including QUCCE12T, WE-QUATRO, RHBD10T, SIS10T, EDP12T, SEA14T, and SAW16T. Simulations are conducted using a 90 nm CMOS process at a supply voltage of 1 V and a temperature of 27 °C. Simulation results show that LDRH16T successfully recovers its original state after injection at all sensitive nodes. Furthermore, since its storage nodes are decoupled from the bit lines during read operations, the proposed cell achieves the highest read stability among the compared designs. It also exhibits superior write ability, shorter write delay, and significantly lower hold power consumption. In addition, LDRH16T demonstrates excellent overall performance across key evaluation metrics and proves its capability for reliable operation in space environments. Full article
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16 pages, 4429 KiB  
Article
Spider Web DNA Metabarcoding Provides Improved Insight into the Prey Capture Ability of the Web-Building Spider Tetragnatha keyserlingi Simon (Araneae: Tetragnathidae)
by Jie Sun, Xuhao Song, Bin Wang, Dongmei Chen, Tingbang Yang and Shichang Zhang
Agriculture 2025, 15(12), 1235; https://doi.org/10.3390/agriculture15121235 - 6 Jun 2025
Viewed by 461
Abstract
Spiders play a crucial role as predators in terrestrial ecosystems, particularly in controlling insect populations. Tetragnatha keyserlingi Simon (Araneae: Tetragnathidae) is a dominant species in rice field ecosystems, where it builds webs amidst rice clusters to capture prey. Despite its known predation on [...] Read more.
Spiders play a crucial role as predators in terrestrial ecosystems, particularly in controlling insect populations. Tetragnatha keyserlingi Simon (Araneae: Tetragnathidae) is a dominant species in rice field ecosystems, where it builds webs amidst rice clusters to capture prey. Despite its known predation on major rice pests like rice planthoppers, comprehensive field reports on its prey composition are scarce. Herein, we performed a field investigation to explore the population dynamic relationships between T. keyserlingi and major rice pests. Additionally, we employed DNA metabarcoding to analyze the prey spectrum of this spider from both the spider’s opisthosoma and its web. The results showed that the population dynamics of T. keyserlingi and Nilaparvata lugens (Stål) displayed synchrony. Dietary DNA metabarcoding analysis revealed that, compared with the opisthosoma, DNA extracted from spider webs exhibited a higher abundance of prey reads and yielded a higher diversity of identified prey species. Phytophagous pests were the dominant prey group identified in both sample types. In web samples, the most abundant prey reads were from Chironomidae, followed by Delphacidae, Ceratopogonidae, Aleyrodidae, Muscidae, Coenagrionidae, and other prey families. Notably, Delphacidae constituted the predominant prey reads identified from the spider’s opisthosoma, and the corresponding positive rate for Delphacidae was 86.7%. These results indicate that the web of T. keyserlingi can capture a diverse range of prey in rice fields. Among the prey captured by the spider web, rice planthoppers appear to be a primary dietary component of T. keyserlingi, emphasizing its potential as a biocontrol agent for rice planthoppers in integrated pest management strategies. Leveraging spider web DNA metabarcoding enhances our understanding of T. keyserlingi’s prey capture ability, as the residual prey DNA in webs provides critical insights into the foraging dynamics and ecological interactions of web-building spiders. Full article
(This article belongs to the Special Issue Advances in Biological Pest Control in Agroecosystems)
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28 pages, 528 KiB  
Systematic Review
Reading and White Matter Development: A Systematic Review of Neuroplastic Changes in Literacy
by Yunus Pınar, Nihat Bayat, Begümhan Yüksel and Yasin Özkara
Children 2025, 12(6), 710; https://doi.org/10.3390/children12060710 - 30 May 2025
Viewed by 792
Abstract
Background/Objectives: Reading is a core cognitive ability that plays a central role in children’s brain development and academic success. This review aims to examine the neuroplastic relationship between reading acquisition and white matter development from infancy through adolescence, with a focus on implications [...] Read more.
Background/Objectives: Reading is a core cognitive ability that plays a central role in children’s brain development and academic success. This review aims to examine the neuroplastic relationship between reading acquisition and white matter development from infancy through adolescence, with a focus on implications for literacy interventions and educational planning. Methods: A systematic review of 89 neuroimaging studies published between 1998 and 2024 was conducted. Eligible studies utilized diffusion tensor imaging (DTI) or structural MRI to investigate white matter changes related to reading behavior in children aged 0 to 18. Studies were identified through comprehensive searches in Web of Science and Scopus databases. Results: Children with stronger reading abilities consistently showed increased fractional anisotropy (FA) in key white matter pathways, such as the arcuate fasciculus and superior longitudinal fasciculus, supporting phonological processing and reading fluency. Longitudinal data suggest that early exposure to literacy enhances brain flexibility and white matter organization. In contrast, children with reading disabilities, including dyslexia, often show disorganized white matter structure, but compensatory pathways may emerge through targeted interventions. Conclusions: Reading experience is associated with measurable changes in white matter development across childhood. Early and sustained literacy engagement appears to optimize neural structures for reading. These findings can inform early diagnosis and improve pedagogical strategies for literacy education. Further research is needed on the long-term neurobiological effects of reading interventions. Full article
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13 pages, 316 KiB  
Article
A Qualitative Study of Unplanned Hospital Readmissions: Patient Perspectives on Their Hospital to Home Transition
by Dale Yeatts, Chetan Tiwari, Samuel Coleman, Michelle Yeatts and Katherine Sobering
Nurs. Rep. 2025, 15(6), 192; https://doi.org/10.3390/nursrep15060192 - 29 May 2025
Viewed by 447
Abstract
Background: Roughly 18% of all patients discharged from hospitals in the United States experience an unplanned hospital readmission (UHR) within 30 days of discharge. This can be life-threatening for patients and costs the U.S. health care system billions of dollars. The Centers for [...] Read more.
Background: Roughly 18% of all patients discharged from hospitals in the United States experience an unplanned hospital readmission (UHR) within 30 days of discharge. This can be life-threatening for patients and costs the U.S. health care system billions of dollars. The Centers for Medicare and Medicaid Services is seeking continued research to identify factors contributing to UHR. Research has viewed the transition from hospital to home in three stages: the pre-discharge stage where the patient is being diagnosed and treated in the hospital, the bridging stage where the patient is being prepared for discharge, and the post-discharge stage where the patient is recovering at home. Objectives: Our aims were: (1) to identify factors perceived by patients to influence their recovery during at least one of the three stages of the hospital to home transition and (2) to identify factors perceived by patients as important across all three stages of the transition. Methods: To accomplish this, we analyzed information obtained from in-depth, home interviews with 62 participants who had been discharged from a regional hospital roughly 30 days prior to the interview. Our analysis included open-ended readings and the use of qualitative analysis software. Results: Factors reported to influence recovery at the pre-discharge stage include appropriate diagnosis, treatment, and financial resources. Factors at the bridging stage include access to health information and social supports. Factors perceived to influence recovery at post-discharge include personal characteristics, social supports, and the environment. Conclusions: Participants identified factors at the pre-discharge, bridging, and post-discharge stages believed to be influencing their ability to recover from a hospital stay. Four of these factors were perceived to influence their recovery across multiple stages of the hospital to home transition. These included financial resources, social supports, access to health services, and personal stress. Full article
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12 pages, 5734 KiB  
Article
The Requirement of Turkey Herpesvirus (HVT) Glycoprotein C During Natural Infection in Chickens and Turkeys
by Huai Xu, Widaliz Vega-Rodriguez, Kathrine Van Etten and Keith Jarosinski
Pathogens 2025, 14(6), 538; https://doi.org/10.3390/pathogens14060538 - 28 May 2025
Viewed by 2124
Abstract
The glycoprotein C (gC) of gallid alphaherpesvirus 2—better known as Marek’s disease (MD) virus (MDV)—and gallid alphaherpesvirus 3 is required for horizontal transmission in chickens. Since gC is conserved within the Alphaherpesvirinae subfamily, we hypothesized that gC was also essential for the horizontal [...] Read more.
The glycoprotein C (gC) of gallid alphaherpesvirus 2—better known as Marek’s disease (MD) virus (MDV)—and gallid alphaherpesvirus 3 is required for horizontal transmission in chickens. Since gC is conserved within the Alphaherpesvirinae subfamily, we hypothesized that gC was also essential for the horizontal transmission of meleagrid alphaherpesvirus 1 (MeAHV1) or turkey herpesvirus (HVT). To test this hypothesis, we generated a fluorescent protein-tagged clone of recombinant (r)HVT (vHVT47G), removed the open reading frame of HVT gC from the genome (vHΔgC), and rescued the deletion by inserting an HA-epitope tagged HVT gC (vHΔgC-R) to test their ability to transmit in chickens and turkeys. We also tested whether MDV gC could compensate for HVT gC during transmission, where HVT gC was replaced with MDV gC (vH-MDVgC). Although all viruses replicated in chickens, none spread from chicken to chicken. However, when tested in turkeys, all viruses except vHΔgC transmitted from turkey to turkey. Importantly, the rescuent virus (vHΔgC-R) and HVT expressing MDV gC (vH-MDVgC) rescued transmission, showing that HVT gC is required and MDV gC can compensate for HVT gC for turkey-to-turkey transmission. These data confirm the host-specific transmission of HVT in turkeys and suggest that the essential function of alphaherpesvirus gC proteins is conserved. This information can be exploited while generating future vaccines against MD that will affect the poultry industry worldwide. Full article
(This article belongs to the Special Issue Current Challenges in Veterinary Virology)
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13 pages, 440 KiB  
Perspective
The Potential of Extracellular Vesicle-Mediated Spread of Self-Amplifying RNA and a Way to Mitigate It
by Maurizio Federico
Int. J. Mol. Sci. 2025, 26(11), 5118; https://doi.org/10.3390/ijms26115118 - 26 May 2025
Viewed by 9902
Abstract
Self-amplifying RNA-based (saRNA) technology represents the last frontier in using synthetic RNA in vaccinology. Typically, saRNA consists of positive-strand RNA molecules of viral origin (almost exclusively from alphaviruses) where the sequences of structural proteins are replaced with the open reading frame coding the [...] Read more.
Self-amplifying RNA-based (saRNA) technology represents the last frontier in using synthetic RNA in vaccinology. Typically, saRNA consists of positive-strand RNA molecules of viral origin (almost exclusively from alphaviruses) where the sequences of structural proteins are replaced with the open reading frame coding the antigen of interest. For in vivo delivery, they are complexed with lipid nanoparticles (LNPs), just like current COVID-19 vaccines based on synthetic messenger RNA (mRNA). Given their ability to amplify themselves inside the cell, optimal intracellular levels of the immunogenic antigen can be achieved by delivering lower amounts of saRNA molecules compared to mRNA-based vaccines. However, the excessive intracellular accumulation of saRNA may represent a relevant drawback since, as already described in alphavirus-infected cells, the recipient cell may react by incorporating excessive RNA molecules into extracellular vesicles (EVs). These EVs can shed and enter neighboring as well as distant cells, where the EV-associated saRNA can start a new replication cycle. This mechanism could lead to an unwanted and unnecessary spread of saRNA throughout the body, posing relevant safety issues. This perspective article discusses the molecular mechanisms through which saRNAs can be transmitted among different cells/tissues. In addition, a simple way to control the possible excessive saRNA intercellular propagation through the co-expression of an EV-anchored protein inhibiting the saRNA replication is proposed. Based on current knowledge, a safety improvement of saRNA-based vaccines appears to be mandatory for their usage in healthy humans. Full article
(This article belongs to the Special Issue Vaccine Research and Adjuvant Discovery)
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