Confinement of fluorescent dyes is known to enhance fluorescence properties by reducing aggregation and restricting molecular motion, but few studies have attempted to modulate the extent of confinement. In this work, we explored extreme confinement by exploiting the rigid structure of Metal-Organic Frameworks (MOFs). Other than the commonly known restriction of peripheral substituents in fluorescent molecules for Aggregation-Induced Emission (AIE)-like effects, the more powerful confinement surprisingly led to buckling of the chromophore core, leading to reduced fluorescence lifetime. We name these effects as buckling-induced quenching (BIQ). By studying 14 dyes in zeolitic-imidazolate framework 8 (ZIF8), we systematically analyzed their confined behaviors, establishing strong correlations: The reduction of chromophore planarity always leads to a decrease of fluorescence lifetimes, whereas reduction in the longest dimension of the confined molecule, while maintaining chromophore planarity, always leads to an increased lifetime. Confinement in the larger cavities of ZIF71 leads to signs of alleviation, in good agreement with our hypotheses. The BIQ effects provide an important complement for the well-known confinement effects, and the extreme confinement serves also as an important reference for more subtle effects in various applications.

Aim To assess the incidence and spectrum of treatment-related and immune-related adverse events (TrAEs, irAEs) associated with immune checkpoint inhibitors (ICIs) in patients with advanced or metastatic renal cell carcinoma (RCC). Methods Following PRISMA guidelines, we analyzed clinical trials and observational studies from databases including CINAHL, Web of Science, PubMed, Cochrane Library, and EMBASE to investigate adverse events related to ICIs administration in RCC patients. Results Among the 12912 patients in 64 studies, 83.54% of patients in 59 arms reported at least one any-grade treatment-related adverse events (TrAEs), and 41.36% of patients in 59 arms reported at least one TRAE of grade 3 or higher. Hypertension was the most common TRAE in any grade (36.99%; 95% CI: [35.30-38.69]) and grade 3 and above (14.89%; 95% CI: 13.64-16.14). The most common any-grade and grade 3 or higher immune-related adverse events (iRAEs) included hypothyroidism (18.04%; 95% CI: [16.83-19.25]) and hepatitis (2.87%; 95% CI: [2.24-3.32]), respectively. Multivariable regression analyses revealed that the cancer type and ICIs treatment regimen independently correlated with the occurrence of TrAEs and iRAEs. Death or withdrawal from ICIs agents occurred in 1.49% and 15.05% of the 7641 patients, respectively. Conclusion This meta-analysis offers a comprehensive synthesis of ICIs-related AE patterns in RCC, highlighting toxicity profiles across organ systems and treatment regimens. These findings may support improved clinical awareness, guide AE anticipation, and inform optimization of RCC-specific management strategies and guideline development.

Aim:Understanding the perspectives of stakeholders, functional requirements, and recommendations regarding a mini-program designed for home nutrition management after gastric cancer. Design:The present study employs a descriptive qualitative research methodology. Methods:Using a descriptive qualitative research design, a purposive sampling method was employed to select 10 postoperative gastric cancer patients, 6 patient caregivers, and 8 healthcare professionals from a tertiary hospital in Suzhou City for semi-structured interviews conducted between March and July 2023. Results:Three key themes emerged from the analysis: (1) The majority of respondents expressed eager anticipation for the development of WeChat mini-programs focused on home management; (2) They emphasized the importance of comprehensive dietary management information within a home nutrition management mini-program, including basic information, precise information on dietary management, and reliable nutritional component queries. Additionally, they highlighted the need for features such as personalized dietary advice, nutritional data detection, dietary record keeping and analysis, as well as professional self-management guidance on diet encompassing individual menu formulation, online shopping convenience, and access to medical care at home; (3) Respondents also stressed the significance of an easy-to-use interface in order to facilitate user adoption and learning. Patient or Public Contribution :Understanding the attitudes and needs of stakeholders towards WeChat mini-program in facilitating post-gastric cancer surgery home nutrition management is crucial. Given the high prevalence of malnutrition among patients after gastric cancer surgery, it becomes imperative to develop sophisticated, user-friendly, and efficient tools for managing home nutrition that can effectively mitigate this occurrence. The willingness, functional requirements, and suggestions provided by stakeholders during the development and utilization process significantly impact the subsequent adoption rate of WeChat mini-program and influence the implementation of internet-based home nutrition management.

Phenological regulation is a key determinant of barley adaptation. In South America, late planting often exposes barley to high temperatures, limiting the adaptation of late-flowering European germplasm introduced for yield and malting quality. To investigate phenology and yield-related traits under contrasting environments, a barley population (developed from five elite genotypes) was extensively phenotyped: eighteen traits at four sites, under both normal and late sowing dates over four years. The population was genotyped using the Illumina barley 50K iSelect array. GWAS identified 61 QTL, 43 of which clustered in six hotspots close to PPD-H1 (2H), HvFT2 (3H), Vrn-H3 (7H), and three other regions on chromosomes 1H, 6H and 7H. Phenology did not affect yield on early planting dates, but was negatively correlated to yield on late plantings. Hotspots on 1H and 3H determined yield-related traits on all sowing dates, contributing to yield stability across environments. Hotspots on 6H and 7H affected yield-related and phenological traits only in normal sowing dates, suggesting the potential for increasing yield in optimal environments without penalties in late sowing dates. PPD-H1 affected phenology in late sowing environments, where sensitive alleles (from local parents) shortened phenological phases but did not affect early sowings. The results highlight the importance of phenology on late plantings and suggest that photoperiod sensitivity should provide stability under diverse environments with no trade-off under normal conditions. The lack of crossover interaction of favorable alleles suggests the potential of strategies for combining specific and general adaptation.

Objective: Non-critically ill perioperative patients exhibit lower gastrointestinal bleeding risks with more controllable risk factors than critically ill patients. However, the specific preventive medication design of proton pump inhibitors (PPIs) still requires more support. The aim of this study is to investigate whether mild patients with risk factors for concomitant medication can improve the prevention of gastrointestinal bleeding by increasing the frequency of administration. Methods: This study is a single-center, retrospective study through propensity score - matched cohort. From August 2022 to December 2023, we screened 1,057 patients using lansoprazole for injection with risk factors for developing stress ulcers. The postoperative changes in hemoglobin levels were employed to evaluate the severity of gastrointestinal hemorrhage following the exclusion of other potential etiologies contributing to bleeding. Results: Overall, dose escalation demonstrated a marginal association with reduced postoperative ulcer-related gastrointestinal bleeding (odds ratio [OR] 1.385; 95% confidence interval [CI], 0.76–2.52; p < 0.05). In subgroup analyses, younger patients (<65 years) (OR 2.463; 95% CI, 1.128–5.378; p < 0.05), and those without anticoagulant/antiplatelet therapy (AA) (OR 1.813; 95% CI, 0.796–4.128; p < 0.05) showed a potential and enhanced therapeutic response. Conclusions: The dosing frequency of PPIs may improve the prophylactic efficacy against gastrointestinal bleeding. However, it is not reasonable to draw a conclusion that some combination of drugs will prioritize and directly increase the risk of gastrointestinal bleeding. For non-severe patients, the comprehensive risk assessment for ulcer development is methodologically more rigorous than relying exclusively on concomitant medication evaluation.

Hepatic Arterial Infusion Chemotherapy combined with Tislelizumab and Donafenib induced Toxic Epidermal Necrolysis in a Primary Liver Carcinoma Patient-A case report

Extracellular vesicles (EVs) are critical mediators of intercellular communication and valuable sources of biomarkers for diagnostic and therapeutic applications. However, the complexity and heterogeneity of EVs present significant challenges for their proteomic characterization. Additional challenges in EV proteomics include low yield, technical variability, and the need for high-throughput approaches capable of multiplexed analysis. In this study, we implement a tandem mass tag (TMT)-based MS workflow for comprehensive, quantitative proteomic profiling of isolated EVs. Through comparison with label-free quantitation (LFQ), we highlight the potential pitfalls and limitations of methodological choices in EV proteomic analyses. Our study integrates common EV isolation protocols with robust TMT labeling and high-resolution MS, providing insights into practical EV analysis. Utilizing this approach, we profiled EVs isolated from human fibroblasts treated with ionizing radiation. The TMT workflow uncovered novel proteomic signatures reflective of EV cellular origins and functional roles compared to LFQ, revealing potential biomarkers and molecular targets. Our case study underscores the potential of TMT-based proteomics to overcome common barriers in EV proteomic research, facilitating new discoveries in EV biology and advancing their application in biomarker development and translational research.

RESEARCH ARTICLEAssessing the Cybersecurity of Smart Warehouse Systems Using IoT TechnologiesWang Wei-Ming11 Department of Information Engineering, National Taitung University, Corresponding author: Wang WeiMing(as542514@gmail.com)Keywords: L o g i s t i c s p l a t f o r m | W a r e h o u s e M a n a g e m e n t S y s t e m | C a r g o T r a c k i n g Sy s t e m T r a c k i n g | P e n e t r a t i o n T e s t i n g |N e t w o r k S e c u r i t y | M o b i l e c l o u d c o m p u t i n g

The integration of advanced deep learning models into precision agriculture has the potential to significantly enhance crop health monitoring and disease management. This research explores the application of Vision Transformer (ViT)-based systems for the detection and monitoring of crop diseases, addressing the limitations of conventional Convolutional Neural Networks (CNNs) in capturing long-range dependencies and global contextual information. We propose a ViT-driven framework that leverages highresolution aerial and ground-level imagery to accurately identify a wide range of plant diseases across multiple crop types. The system is trained and evaluated on benchmark agricultural datasets and fieldcollected images, demonstrating superior performance in classification accuracy, robustness to image variability, and early-stage disease detection compared to traditional CNN architectures. Additionally, we incorporate an attention-based interpretability module to provide visual explanations, aiding agronomists in decision-making processes. Our findings highlight the potential of ViT-based models in transforming agricultural practices by enabling scalable, real-time crop monitoring and proactive disease management, thereby contributing to sustainable farming and food security.

Cellular and humoral responses, as well as virus replication kinetics, may affect the severity of COVID-19. This study examined systemic and mucosal immune responses as well as viral load in unvaccinated SARS-CoV-2 patients. Forty-eight COVID-19-positive, grouped into asymptomatic, moderate and severe disease, and 48 COVID-19-negative individuals at Moi Teaching and Referral Hospital in Kenya were included. Severe patients showed higher viral loads and systemic antispike IgG compared to moderate and asymptomatic individuals. Asymptomatic individuals had higher mucosal anti-spike IgG and receptor binding domain (RBD) levels compared to severe patients. Systemic IFN-α mRNA transcript was expressed at higher levels in asymptomatic individuals compared to patients with severe COVID-19 and healthy individuals. Severe patients had significantly lower expression of IFN-γ mRNA transcript levels in both blood and mucosa, as well as significantly lower systemic IFI-16 mRNA transcript levels. These results suggest that mucosal anti-spike and RBD IgG may offer protection, while systemic antibodies indicate disease progression. Suppressed interferon responses, both mucosal and systemic, were linked to severe disease. To conclude, viral load, IFN, anti-viral, and systemic IgGs could help predict COVID-19 outcomes and aid in developing personalized treatment strategies.

Snowpack is an important source for water supplies in the western U.S. Because wildfires are increasing in frequency and magnitude, potential reductions in snowpack after wildfires are important for water managers. The objective of this study is to estimate the impact of wildfires and the combined impact of climate change and wildfires on snow water equivalent (SWE) across western U.S. ecoregions. Four metrics of snowpack are evaluated including annual peak SWE, annual peak SWE normalized by winter precipitation, date of peak SWE, and date of melt-out. Random forest (RF) models are developed for the change in each metric using SWE data from burned and unburned SNOTEL sites and topographic, weather, and land cover predictor variables. The RF models are then applied across the ecoregions. In all ecoregions, the median prediction from the model is a decrease in peak SWE due to wildfire, but the distribution of changes within each ecoregion includes both decreases and increases. The median prediction also indicates earlier peak SWE and melt-out dates for all ecoregions except for the Arizona-New Mexico Mountains, and nearly all locations within a given ecoregion are expected to have similar changes to the dates. Terrain slope is an important predictor of changes in peak SWE, and mean temperature is important for changes in the dates of peak SWE and melt-out. The estimated total changes in SWE due to wildfires that occurred from 2015 to 2020 range from a 1% increase in the North Cascades to a 6% reduction in the Arizona-New Mexico Mountains.

This work presents a detailed comparative study of lactone-based electrolytes (γ‑valerolactone, GVL and γ‑butyrolactone, GBL) combined with lithium imide-based salts, namely lithium bis(trifluoromethanesulfonyl)imide (LiTFSI) and lithium bis(fluoromethanesulfonyl)imide (LiFSI). Propylene carbonate is employed as a reference electrolyte solvent. The physicochemical properties of these electrolyte systems are determined experimentally and further calculated using our developed computational model. Besides, in-silico investigations are used to reveal valuable insights into the molecular interactions of the electrolyte components, such as self-diffusion coefficients and radial distribution functions. Furthermore, the suitability of lactone-based electrolytes for electrochemical applications is demonstrated by their promising rate capability and cycling stability over 200 cycles in graphite half-cells, especially with 1 M LiTFSI and 2 wt% vinylene carbonate. These findings support the potential of lactones as battery solvent alternatives, with GVL standing out due to its bio-based origin.

Allelopathy is common mediator of ecological interactions wherein an organism produces a chemical harmful to the success of heterospecifics. While allelochemicals have direct effects on bipartite interactions, they may also cause ecological indirect effects where a third player mediates the suppression of competitors or is indirectly impacted by the chemical. Herbivores are likely to encounter indirect effects through consumptive interactions with target plant species that may be reduced in quantity (density-mediated) or quality (trait-mediated) by a plant competitor’s allelochemical. We addressed how such indirect effects may occur across a range of microcystin concentrations, an allelopathic chemical of increasing concern in freshwater systems produced by harmful algal blooms. We found that microcystin not only had direct effects on the growth of a plant competitor, the duckweed Spirodela polyrhiza, but also indirect effects on the aphid herbivore Rhopalosiphum nymphaeae. Aphids experienced a negative impact of microcystin concentration on growth that was mediated by duckweed quality. We also tested for direct and indirect evolutionary effects and found that microcystin exposure had a marginal indirect effect on changes in aphid genotypic frequency. Our results indicate the need to consider indirect effects and trait mediation in community dynamics and evolution in the presence of allelochemicals.

Lactylation, as an emerging post-translational modification mediated by lactate, has recently been identified as a critical regulator of immunometabolic reprogramming and inflammatory responses in allergic diseases. This review synthesizes current evidence on the role of lactylation in modulating immune cell dynamics, including macrophage polarization, dendritic cell antigen presentation, t-cell differentiation, and mast cell activation. We highlight how lactate accumulation in allergic microenvironments drives epigenetic modifications, such as histone lactylation, to influence immune cell function and metabolic adaptation. Key findings demonstrate that lactylation serves as a bidirectional regulator, promoting either pro-inflammatory or anti-inflammatory responses depending on cellular context and lactate concentrations. Despite the research progress, challenges remain in understanding the transient nature of lactylation and tissue-specific dynamics. Future research could integrate spatial omics and advanced imaging technologies to unravel lactylation's spatiotemporal regulation, offering novel therapeutic strategies for allergic disorders.

Aim: This study aimed to investigated the pharmacokinetics of HR19042 in comparison with the other two budesonide targeted-release formulations in healthy Chinese subjects. Methods: A randomized, single-dose, open-label, 6-sequence, 3-treatment crossover Phase I study was conducted on healthy Chinese participants. During each treatment period, subjects received a single oral dose of 1 of 3 treatments under fasted conditions: 4 HR19042 capsules (4 mg; total dose 16mg), 4 Nefecon capsules (4 mg; total dose 16mg), or 5 Budenofalk capsules (3 mg; total dose 15mg). Plasma budesonide concentrations were determined using liquid chromatography with tandem mass spectrometry. Pharmacokinetic (PK) parameters were analyzed using non-compartmental methods. The safety of all three formulations was monitored and evaluated. Results: Eighteen subjects were successfully completed the trial. The median Tlag and Tmax of HR19042 were 1.25 hours and 3.50 hours shorter than Nefecon. The Cmax of HR19042 was approximately 1.9- and 1.4-fold higher than that of Nefecon and Budenofalk, respectively. The relative bioavailability (F) of HR19042 was approximately 136.93% and 129.68% relative to Nefecon and Budenofalk, respectively. The partial exposure (AUC4-8h) of HR19042 within 4-8 hours post-dose was approximately 3.2-fold higher than that of Nefecon. These results indicate that HR19042 has a faster absorption rate and higher oral bioavailability compared to Nefecon and Budenofalk. All treatments were well-tolerated. Conclusions: HR19042 exhibited faster absorption rate and higher oral bioavailability compared to Nefecon and Budenofalk. It has the potential to enhance the selective immunomodulatory effect in patients with IgAN without increasing safety concerns.

Colorectal carcinoma (CC) is a rare disease in the pediatric population with an annual incidence of 1 in 10 million adolescents, and comprises approximately 1% of pediatric neoplasms. It is the most common primary gastrointestinal malignancy in children with the vast majority of CCs being adenocarcinoma (CA). Unfortunately, the proportion of poorly differentiated, mucinous type, signet-ring cell containing carcinomas is higher in younger patients than in adults. Moreover, due to the low awareness of the disease, diagnosis is usually delayed until the disease is in an advanced stage, causing prognosis to be extremely poor. Surgery is the only curative modality for localized CAs, instead, for patients with cancer staging III, adjuvant chemotherapy is mandatory to eradicate micro-metastases. In the last ten years we treated 3 patients diagnosed with CA: a 14-years-old female, a 15-years-old male, and a 15-years-old female. They presented all to our ED with nonspecific symptoms of abdominal pain and vomits. All were subjected to laparoscopic tumor resection to relief intestinal obstruction. In the male patient laparoscopy was converted to laparotomy for safely understanding the anatomy, due to strong peritoneal adhesions. No stomas were performed, in order to improve quality of life. Oxaliplatin and 5-fluorouracil-based antineoplastic agents were among the commonly used chemotherapy combinations. The 15-years-old female and the 15-years-old male died one year after the surgical resection, while the 14-years-old female is still on follow-up. CAs behave aggressively in children; not only have they a poorer response to chemotherapy, but also are associated with extensive intramural spread and peritoneal carcinomatosis. Awareness and early intervention remain the main challenges in the early diagnosis and prognosis of CA.

With the rapid advancement of information technology, intelligence and digitalization have emerged as crucial directions for innovation and enhancement across all industries. In the realm of higher education, the significance of intelligent party building as a contemporary approach to promoting party building in colleges and universities has become increasingly evident. The primary methodologies employed include literature review, big data analysis, and design research methods. This paper examines the necessity, objectives, functional structure, and implementation pathways for constructing an intelligent party building platform in colleges and universities, framed within the context of “Red Roots and Strong Foundation Project. corresponding strategies and recommendations, aiming to provide both theoretical support and practical guidance for the innovation and execution of party building initiatives in higher education institutions.

1. Species distributions are influenced by changes in physical environment, which can impact ecosystem functioning across multiple scales. Detecting and predicting these changes, however, is challenging due to limitations in statistical methods, data quality, and ecological understanding of species communities. While traditional distance-based approaches struggle to capture the complex dynamics of ecological communities, advances in Species Distribution Models (SDMs) offer promising ways of predicting species-environment relationships and temporal shifts. 2. Using the Southern Ocean krill community as a case study, our research evaluates current Species Distribution Models (SDMs) to address the challenges of analysing patchy, opportunistic data for detecting ecological changes in remote regions with limited data. 3. Based on context appropriate simulations of simple species communities, we compared the performance of six SDMs–representing both single-species and joint-species models, as well as statistical and machine learning approaches–and evaluated their predictive performance, processing times, and ability to detect spatio-temporal trends while distinguishing true ecological signals from modelled noise. 4. The evaluation metrics showed consistent differences among the six models, with statistical models often performing better than machine learning-based approaches. Processing times varied considerably, ranging from near instantaneous to over 1.36 hours to fit a single model. Models with an underlying structure in their relationship with covariates were effective in capturing species responses and detecting spatio-temporal trends. Some models seemed to consistently mis-identify noise as ecological signal. 5. By systematically comparing the overall strengths and limitations of these models, our study recommends using a model with species-specific covariate effects and latent variables for detecting ecological changes in species communities. These findings are particularly relevant for monitoring biodiversity in remote and data-limited ecosystems, where understanding spatio-temporal shifts in species communities is essential for informing conservation strategies and protecting vulnerable communities.

Acute HIV-1 Infection in Two Women Over 50 Years Old: Diagnostic Challenges and Clinical ImplicationsKey Clinical Message (KCM)： In-depth analysis of these two cases reveals the importance of HIV1-RNA in the diagnosis of patients with acute HIV infection, as well as the importance of highly sensitive P24 antigen and antibody reagents in early screening.Abstract: This report details two cases of acute HIV-1 infection in women aged 51 and 52 years. Both patients presented with nonspecific symptoms (diarrhea or fatigue) following high-risk sexual behavior. Initial fourth-generation HIV antigen/antibody screening (Mike Bio Co., Ltd.) yielded indeterminate results (Case 1: 7.359 S/CO; Case 2: 1.093 S/CO; reference <1.000 S/CO), while HIV-1 Western blot assays returned negative. Subsequent HIV-1 RNA quantification (COBAS®) confirmed high viral loads (Case 1: 12,663,500 copies/mL; Case 2: 1,451,731 copies/mL). These cases underscore three critical points: (1) the diagnostic necessity of nucleic acid testing in acute HIV infection, particularly during the serological window period; (2) the limitations of relying solely on Western blot confirmation in early infection; and (3) the growing epidemiological significance of HIV in older women. These findings highlight the importance of integrating high-sensitivity p24 antigen/antibody assays with RNA testing for timely diagnosis and clinical management.Key words: HIV-1 RNA,HIV-1 Western blot, acute HIV infection1.IntroductionAcquired Immune Deficiency Syndrome (AIDS), a chronic infectious disease caused by the Human Immunodeficiency Virus (HIV), remains one of the most significant global public health challenges. HIV primarily spreads through sexual contact, blood transfusions, and mother-to-child transmission. AIDS is divided into three stages: acute infection, asymptomatic infection and AIDS. The acute infection stage, occurring 4-6 weeks post-HIV infection, presents with characteristic symptoms including fever, general malaise, headache, nausea, sore throat, myalgia, arthralgia, rash, and cervical/occipital lymphadenopathy. Despite its clinical significance, this early stage is frequently overlooked, potentially impacting the disease’s subsequent progression and management. Recent epidemiological studies reveal concerning trends in HIV/AIDS prevalence and disease burden. Global data from 1990 to 2019 demonstrate an increasing number of people living with HIV/AIDS and rising age-standardized prevalence rates. Notably, female patients exhibit higher age-standardized disability-adjusted life years (DALYs), years lived with disability (YLDs), and years of life lost (YLLs) compared to male patients, indicating a greater disease burden among women[1, 2].In China, the period from 2010 to 2022 witnessed a significant epidemiological shift, with a continuous rise in HIV infections among individuals aged 50 years and older. Particularly striking is the dramatic increase in HIV prevalence among women in this age group, rising from 16.26% in 2010 to 62.78% in 2022 - a rate substantially higher than their male counterparts[3].This upward trend highlights the need for intensive attention and targeted interventions for HIV prevention in women aged 50 years and older. This report details two illustrative cases of early acute HIV infection in middle-aged and elderly women. By conducting an in-depth analysis of these cases, we aim to improve clinical diagnostic accuracy, promote timely and effective treatment initiation, and offer valuable insights for the development and refinement of public health prevention and control strategiesCase ReportCase 1, female, 51 years old, met a man in a square dance in July 2024, and then had sex in the hotel (a total of two or three times), without the consciousness of wearing a condom. In early September, she developed fever and diarrhea for 4+ days with no obvious cause, 10+ times/day, yellow watery stool, maximum body temperature of 39.2℃, and was hospitalized in a local hospital for treatment (specific drug use is unknown), with no obvious relief of symptoms. For further diagnosis and treatment, she was admitted to the Department of Infectious Diseases of our hospital as ”acute gastroenteritis” in the outpatient department. Preliminary laboratory examination showed that the white blood cell count was 2.17*109/L(normal 3.5-9.5 *109/L),Lymphocyte count 0.91*109/L(normal 1.1-3.2 *109/L), AST:58 IU/L (normal 13-35 IU/L), TP:57g/L (normal 65-85 g/L), ALB:34g/L(normal 40-55 g/L), AFU36U/L (normal 10-35 U/L), indicating impaired liver function, preliminary assessment of leukopenia, abnormal liver function.On September 8, 2024, the preliminary screening of the fourth-generation antigen/antibody (Mike Bio CO., LTD.) test showed that HIV infection was to be determined, HIVAg/Ab7.359 S/CO (normal <1.000S/ Co), and the HIV-1 Western blot test of the sample was negative 5 days later. However, the sample tested positive for HIV-1 RNA（COBAS） molecules 13 days later, with a result of 12,663,500 copies/m(Fig1), confirming the screening results. On September 29, blood samples were taken again for the absolute count of T lymphocyte subsets. The absolute count of CD4 was 531cell/ul, lower than the lower limit of reference, and the absolute count of CD8 was 2493cell/ul, higher than the upper limit of reference. The CD4/CD8 ratio was 0.21, lower than the lower limit of reference.

Title PageCase Report

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Accurate real-time projectile simulation is critical for virtual-reality trainers, serious games, and scientific simulations. Most current game engines approximate trajectories using parabolic models or fixed-drag tables, neglecting key effects such as layered wind, altitude-dependent air density, and sustained booster thrust. We introduce an open-source Unity plug-in that models four major external forces—variable gravity, quadratic drag, stratified wind, and continuous thrust—within a hybrid integrator that dynamically switches between semi-implicit Euler, fixed-step RK4, and adaptive Fehlberg RKF45. Five benchmark scenarios executed on a desktop. Across five benchmark scenarios on desktop hardware, our method maintains a root-mean-square error below 0.02 m for drag and wind, and ≤ 0.12 m for RPG-7-class thrust, compared to an eighth-order reference. It achieves real-time performance with 200 FPS (Euler/RK4) and 94 FPS (RKF45). Stress tests with 10,000 concurrent projectiles show linear performance scaling and zero managed-heap allocations. This plug-in bridges real-time simulation and research-grade ballistics, enabling cost-effective, high fidelity VR training for defense and educational applications.

Authors and affiliationsElina Seppälä (http://orcid.org/0009-0008-1646-2492)1Niels Bindslev2Sophie Gubbels2Karina Lauenborg Møller2Simopekka Vänskä3Tryggvi Hjörtur Oddson4Arna Harðardóttir 4Maríanna Þórðardóttir 4Lisa Mather5Marie Jansson Mörk5Moa Rehn5Knut Lönnroth 6,7Eirik Alnes Buanes8Preben Aavitsland1,91. Norwegian Institute of Public Health, Oslo, Norway 2. Statens Serum Institut, Copenhagen, Denmark 3. Finnish Institute for Health and Welfare, Helsinki, Finland 4. Directorate of Health, Reykjavik, Iceland 5. Public Health Agency of Sweden, Stockholm, Sweden 6. Government of Åland, Mariehamn, Åland 7. Karolinska Institutet, Department of Global Public Health, Stockholm, Sweden 8. Norwegian Intensive Care and Crisis Registry, Bergen, Norway 9. Pandemic Centre, University of Bergen, Norway Correspondence: Elina Seppälä (elina.seppala@fhi.no)

Osteoporosis is gradually becoming a disease with global importance and is one of the most commonly neglected diseases among various populations. Many studies of osteoporosis rely on calcium and inorganic salt levels in the bone structure and microenvironment as measures of osteoporosis. Here, we discuss N6-methyladenosine (m6A) and osteoporosis with novel insight into the pathogenesis of osteoporosis. The m6A modification is a posttranscriptional epigenetic modification and has been shown often to participate in the modification of mRNAs and noncoding RNAs (ncRNAs). The m6A influences the fate of RNA molecules and affects almost all bioprocesses, such as the development of cancer and other disorders. Accumulating evidence has shown that ncRNAs that cooperate with m6A and participate in the regulation of bioprocesses related to osteoporosis. This systematic review summarizes the latest studies on the expression of m6A and ncRNAs and their roles in osteoporosis.