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Infrared ship detection technology plays a crucial role in ensuring maritime transportation and navigation safety. However, infrared ship targets at sea exhibit characteristics such as multi-scale, arbitrary orientation, and dense arrangements, with imaging often influenced by complex sea–sky backgrounds. These factors pose significant challenges for the fast and accurate detection of infrared ships. In this paper, we propose a new infrared ship target detection algorithm, YOLO-IRS (YOLO for infrared ship target), based on YOLOv10, which improves detection accuracy while maintaining detection speed. The model introduces the following optimizations: First, to address the difficulty of detecting weak and small targets, the Swin Transformer is introduced to extract features from infrared ship images. By utilizing a shifted window multi-head self-attention mechanism, the window field of view is expanded, enhancing the model’s ability to focus on global features during feature extraction, thereby improving small target detection. Second, the C3KAN module is designed to improve detection accuracy while also addressing issues of false positives and missed detections in complex backgrounds and dense occlusion scenarios. Finally, extensive experiments were conducted on an infrared ship dataset: compared to the baseline model YOLOv10, YOLO-IRS improves precision by 1.3%, mAP50 by 0.5%, and mAP50–95 by 1.7%. Compared to mainstream detection algorithms, YOLO-IRS achieves higher detection accuracy while requiring relatively fewer computational resources, verifying the superiority of the proposed algorithm and enhancing the detection performance of infrared ship targets.

With the widespread use of remote sensing images, low-resolution target detection in remote sensing images has become a hot research topic in the field of computer vision. In this paper, we propose a Target Detection on Super-Resolution Reconstruction (TDoSR) method to solve the problem of low target recognition rates in low-resolution remote sensing images under foggy conditions. The TDoSR method uses the Enhanced Super-Resolution Generative Adversarial Network (ESRGAN) to perform defogging and super-resolution reconstruction of foggy low-resolution remote sensing images. In the target detection part, the Rotation Equivariant Detector (ReDet) algorithm, which has a higher recognition rate at this stage, is used to identify and classify various types of targets. While a large number of experiments have been carried out on the remote sensing image dataset DOTA-v1.5, the results of this paper suggest that the proposed method achieves good results in the target detection of low-resolution foggy remote sensing images. The principal result of this paper demonstrates that the recognition rate of the TDoSR method increases by roughly 20% when compared with low-resolution foggy remote sensing images.

Cloud computing is the hot topic in recent years, and the cloud-based collaborative service is the emerging service. No matter where the users are or which computers the users use, it enables the cloud users to place their data into the cloud. As long as it connects to the Internet, it can store and get the data placed in the cloud. In the collaborative service situation, it can allow other cloud users in the group to share with the private information, such as the editing service in the on-line common file can make many collaborators jointly write a file. It encrypted and decrypted the whole file in the past in order to protect the data privacy, but it was rather time consuming in the multipeople collaboration. The paper analyzes the text editing in the collaborative service and introduces the rbTree-Doc framework in order to reduce the encrypted data number. Although it increases the cost of establishing and maintaining the rbTree-Doc, the experimental results show that the rbTree-Doc framework can make collaborators conduct the text editing function. When it conducts the insert, remove operations and the encrypted/decrypted algorithms, it adopts 3DES encryption algorithm to improve its 31.04% efficiency, and adopting AES encryption algorithm to improve its 23.94% efficiency.. Index Terms-Cloud Computing, Data Privacy, Collaborative Service, Red-Black Tree, Encryption Algorithm.

[ Objective] This study aimed to further expand the production and application of Cirmamomumjaponicum Sieb. and investigate the mechanism of cold resistance in evergreen broad-leaved tree species. [ Method] Using adult Cinnamonum campora as control, during the entire wintering period from October 2011 to March 2012, the wintering adaptability of C. japonicum leaves at different ages was observed; the electrolyte leakage was measured under indoor low-temperature treatment to calculate the semi-lethal temperature （LT50） by fitting Logistic equation, thus conducting dynamic analysis and comprehensive evaluation of the cold re- sistance in C. japonicum. [ Result] The results showed that the chilling injuries in leaves of different materials were aggravated with the decreasing temperature. According to the results of five times of dynamic observation on wintering adaptability, the cold resistance in different materials presented a decreasing order of adult C. japonicum medium-aged C. japonicum 〉 young C. japon/cum 〉 adult C. campora. The relationship between indoor low temperature and leaf injury rate showed an S-shaped curve. The significance test suggested relatively high fitting degree with Logistic equation. The semi-lethal temperature presented a V-shaped curve with the changing temperature and roached the minimum during late December to early February in the following year. The dynamic changes and minimum value of semi-lethal temperature indicated a consistent order of cold resistance in different materials to the results of wintering adaptability observation. Therefore, results of two analysis methods could be combined for cold resistance evaluation. [ Conclusion] This study laid the foundation for the introduction and populariza- tion of C. japonicum in northern gardens along the Yangtze River.

Parkinson's disease (PD) is characterized by the progressive degeneration of the dopaminergic neurons in the substantia nigra (SN) region. Acteoside has displayed multiple biological functions. Its potential role against PD and the underlying signaling mechanisms are largely unknown. Here, we showed that oral administration of acteoside significantly attenuated parkinsonism symptoms in rotenone-induced PD rats. Further, acteoside inhibited rotenone-induced α-synuclein, caspase-3 upregulation and microtubule-associated protein 2 (MAP2) downregulation in PD rats. The molecular docking and molecular dynamics (MD) simulation results indicated that acteoside may directly bind to and inhibit caspase-3. Acteoside formed hydrogen bonds with at least six residues of caspase-3: ThrA177, SerA178, GlyA238, SerB339, ArgB341 and TrpB348. In addition, a pi-pi interaction was formed between acteoside and caspase-3's HisA237, which might further stabilize the complex. MD simulation results demonstrated that the binding affinity of the caspase-3-acteoside complex was higher than that of caspase-3 and its native ligand inhibitor. Together, we show that acteoside binds to caspase-3 and exerts neuroprotection in the rotenone rat model of PD.

Recent studies have shown that hyperbaric oxygen (HBO) has a therapeutic effect on vascular dementia (VD); however, the exact mechanism remains unclear. This article aims to reveal the protective effects and underlying mechanisms of HBO on VD. A total of 158 patients with VD were prospectively included in the study and were randomly divided into control group and HBO group. The control group was given conventional treatment and the HBO group was treated with HBO in addition to conventional treatment. The following HBO protocol was practiced: 5 days per week, 60 min each, 100% oxygen at 2 standard atmospheric pressures for 12 weeks. The Mini-Mental State Examination (MMSE) scores and serum Humanin levels were detected before and after treatments in both groups. The baseline characteristics were not different dramatically between groups (p > 0.05). There was no significant difference in MMSE scores and serum Humanin levels between the two groups before treatment (p > 0.05). After treatment, compared with the control group, the MMSE scores and serum Humanin levels in the HBO group were significantly increased (p < 0.05). Spearman correlation analysis showed that the serum Humanin levels were positively correlated with MMSE scores (r = 0.409, p < 0.05) and this correlation was independent of baseline characteristics (β = 0.312, p < 0.05). HBO therapy can improve cognitive function in patients with VD, and its mechanism may be related to elevated serum Humanin levels.

IntroductionAlthough emerging evidence supports the short-term efficacy of transcranial magnetic stimulation (TMS), including repetitive TMS (rTMS) and theta-burst transcranial magnetic stimulation (TBS-TMS), and transcranial direct current stimulation (tDCS) for managing patients with chronic musculoskeletal pain (CMP), their clinical utility in managing CMP remains inconclusive. This uncertainty may arise from methodological limitations, including heterogeneity in treatment parameters such as stimulation targets and dosages. Additionally, safety profiles for these non-invasive brain stimulation interventions in patients with CMP remain insufficiently reported, with limited data on adverse events, cumulative risks and long-term safety outcomes. Hence, in this scoping review protocol, we aim to systematically (1) identify and map the stimulation targets and dosages of TMS and tDCS used in previous studies to treat patients with CMP; (2) summarise the rationale for using the stimulation targets and dosages of TMS and tDCS; and (3) summarise the reports on the safety of TMS and tDCS in managing patients with CMP, including whether safety was reported and how it was described.Methods and analysisWe will adopt Arksey and O’Malley’s methodological framework and report findings according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews. Two authors will independently screen articles and extract data from PubMed, Scopus, Web of Science and Embase, including publications from inception to 1 August 2025. Discrepancies regarding study inclusion will be resolved through consultation with a third author. We will synthesise results using descriptive statistical methods.Ethics and disseminationThis scoping review does not require ethical approval. The findings will be disseminated through presentation at national or international conferences and peer-reviewed publication.Trial registration detailsOpen Science Framework (Registration DOI: https://doi.org/10.17605/OSF.IO/8HFBZ).

Hypomyelinating leukodystrophies (HLDs) are a rare group of disorders characterized by myelin deficit of the brain-based on MRI. Here, we studied 20 patients with unexplained HLD to uncover their genetic etiology through whole-exome sequencing (WES). Trio-based WES was performed for 20 unresolved HLDs families after genetic tests for the PLP1 duplication and a panel of 115 known leukodystrophy-related genes. Variants in both known genes that related to HLDs and promising candidate genes were analyzed. Minigene splicing assay was conducted to confirm the effect of splice region variant. All 20 patients were diagnosed with HLDs clinically based on myelin deficit on MRI and impaired motor ability. Through WES, in 11 of 20 trios, 15 causative variants were detected in seven genes TUBB4A, POLR1C, POLR3A , SOX10 , TMEM106B, DEGS1 , and TMEM63A . The last three genes have just been discovered. Of 15 variants, six were novel. Using minigene splicing assay, splice variant POLR3A c.1770 + 5 G > C was proved to disrupt the normal splicing of intron 13 and led to a premature stop codon at position 618 (p.(P591Vfs*28)). Our analysis determined the molecular diagnosis of 11 HLDs patients. It emphasizes the heterogenicity of HLDs, the diagnostic power of trio-based WES for HLDs. Comprehensive analysis including a focus on candidate genes helps to discover novel disease-causing genes, determine the diagnosis for the first time, and improve the yield of WES. Moreover, novel mutations identified in TUBB4A, POLR3A , and POLR1C expand the mutation spectrum of these genes.

A kind of single-layer carbon based dots (CDs) with abundant carboxyl functional groups was hybridized with manganese dioxide (MnO 2 ). The resulting nanohybrid is stable and can be well dispersed in water. MnO 2 is capable of oxidizing the substrate 3,3′5,5′-tetramethylbenzidine (TMB) to form a blue product whose absorption (peaking at 655 nm) fades in the presence of glutathione (GSH). A sensitive and selective colorimetric GSH assay was worked out that has a linear response in the 10 to 0.1 µM GSH concentration range, with a 0.095 μM detection limit. The method was applied to the determination of GSH in spiked fetal calf serum where it gave excellent recoveries. Graphical abstract Schematic of the preparation of a nanohybrid composed of manganese dioxide and carbon based dots (MnO 2 /CDs). They can be used for the colorimetric detection of glutathione (GSH) based on the color change of 3,3′5,5′-tetramethylbenzidine (TMB).

Hypomyelinating leukodystrophies (HLDs) are genetic disorders characterized by deficient myelination. While TMEM63A variants are associated with HLD19, the specific lipid alterations in affected brain regions remain to be fully characterized. This study aimed to investigate the spatial distribution of lipid changes in a Tmem63a mutant rat model of hypomyelination. A homozygous Tmem63a c.500G > A p.(G167E) knock-in rat model ( Tmem63a G167E/G167E ) was established. Brain sections from Tmem63a G167E/G167E and Tmem63a WT rats ( n  = 3/group) were analyzed using MALDI-MSI for lipid profiling across nine distinct brain regions. Myelin structure was characterized by transmission electron microscopy (TEM) and g-ratio quantification. Statistical analyses included Mann-Whitney U tests for g-ratio distributions and ROC analysis for feature screening. Out of 702 analyzed features, 124 were differentially expressed. Lipids constituted the most altered class (43 features), including 22 glycerophospholipid, 9 fatty acid, 5 sphingolipid, 5 sterol lipid, and 2 prenol lipid species. These alterations were predominantly observed in white matter-rich regions and gray-white matter junctions. TEM revealed thinner and less dense myelin sheaths in Tmem63a G167E/G167E rats, with a reduced proportion of optimal g-ratios. This study provides a comprehensive spatial lipidomic characterization in a Tmem63a mutant rat model, revealing significant lipid alterations associated with hypomyelination. These findings offer new insights into the pathology of hypomyelination and highlight specific lipid species for future investigation.