Poly[(μ3-camphorato-κ3 O:O′:O′′)(2-methyl-1H-imidazole-κN 3)zinc(II)]

In the title compound, [Zn(C10H14O4)(C4H6N2)]n, each ZnII ion is coordinated by one N atom from one 2-methyl-1H-imidazole ligand and three O atoms from two camphorate (cap) ligands in a distorted tetra­hedral geometry. In one of the cap ligands, one methyl group is disordered between positions 1 and 3 in a 0.518 (12):0.482 (12) ratio. Each cap ligand bridges three ZnII ions, forming two-dimensional layers, which inter­act further via N—H⋯O hydrogen bonds

HEP@home: A Volunteer Computing Project to Run Fast Simulation with Delphes for CEPC

Delphes is a C++ framework to perform a fast multipurpose detector response simulation. The Circular Electron Positron Collider (CEPC) experiment runs fast simulation with a modified Delphes based on its own scientific objectives. The CEPC fast simulation with Delphes is a High Throughput Computing (HTC) application with small input and output files. Besides, to compile and run Delphes, only ROOT software is necessary.Therefore, all these features make it appropriate to run CEPC fast simulation as a Volunteer Computing application. As a result, a BOINC project named HEP@home is developed to run fast simulation with Delphes for CEPC. This paper describes the internal structure of the project, pre and post data operations, and its development status

A web workbench system for the Slurm cluster at IHEP

Slurm REST APIs are released since version 20.02. With those REST APIs one can interact with slurmctld and slurmdbd daemons in a REST- ful way. As a result, job submission and cluster status query can be achieved with a web system. To take advantage of Slurm REST APIs, a web workbench system is developed for the Slurm cluster at IHEP. The workbench system con- sists with four subsystems including dashboard, tomato, jasmine and cosmos. The dashboard subsystem is used to display cluster status including nodes and jobs. The tomato subsystem is developed to submit special HTCondor glidein jobs in the Slurm cluster. The jasmine system is used to generate and submit batch jobs based on workload parameters. The cosmos subsystem is an ac- counting system, which not only generates statistical charts but also provides REST APIs to query jobs. This paper presents design and implementation de- tails of the Slurm workbench. With the help of workbench, administrators and researchers can get their work done in an effective way

Impact of ankle-foot strengthening therapy on motor function in children with cerebral palsy

Objective To investigate the changes of motor function in children with cerebral palsy undergoing ankle-foot strengthening therapy. Methods A total of 80 children with cerebral palsy were enrolled in this study，and divided into the control group（n = 40）and observation group（n = 40）. In the control group，children received regular trunk training based on motor control theory combined with neurodevelopmental therapy，and those in the observation group received ankle-foot strengthening therapy in addition to those interventions in the control group. Pre-and post-treatment assessments including the Gross Motor Function Measure（GMFM-88）scores for Sections D and E，the 6-minute walk test（6-MWT），the Timed Up and Go Test（TUGT），and the Pediatric Balance Scale（PBS）were recorded to compare clinical efficacy between two groups. Results Following corresponding interventions，significant improvement was observed in all observed indexes in two groups（all P < 0.05）. Notably，children in the observation group exhibited better post-treatment scores in GMFM Section E，6-MWT，TUGT，and PBS compared to their counterparts in the control group，with statistically significant differences（all P < 0.05）. Conclusion Ankle-foot strengthening therapy effectively promotes the recovery of motor function in children with cerebral palsy

Porting LHAASO WFCTA simulation job to ARM computing cluster

With the advancement of many large-scale high-energy physics experiments, the amount of data to be processed and analyzed has significantly increased. For example, since the start of the Large High Altitude Air Shower Observatory (LHAASO) experiment in 2020, their simulation jobs have been running on an Intel X86 cluster, producing only a fraction of the planned data for the first phase due to limited CPU resources. Therefore, it is necessary to explore and expand other computing service devices. We built an application ecosystem based on the ARM architecture to support offline data processing for high-energy physics. The main work includes porting the offline software based on LHAASO experiments to run on ARM machines, formulating data transfer and job scheduling strategies in the ARM cluster, and evaluating performance and power consumption in both Intel X86 and ARM clusters. The results show that the LHAASO simulation jobs can run correctly on the ARM computing cluster. The singlecore performance of Intel X86 CPUs is better than ARM CPUs, but for the entire server with a multicore architecture, ARM servers perform better

MCR-ALS-based muscle synergy extraction method combined with LSTM neural network for motion intention detection

IntroductionThe time-varying and individual variability of surface electromyographic signals (sEMG) can lead to poorer motor intention detection results from different subjects and longer temporal intervals between training and testing datasets. The consistency of using muscle synergy between the same tasks may be beneficial to improve the detection accuracy over long time ranges. However, the conventional muscle synergy extraction methods, such as non-negative matrix factorization (NMF) and principal component analysis (PCA) have some limitations in the field of motor intention detection, especially in the continuous estimation of upper limb joint angles.MethodsIn this study, we proposed a reliable multivariate curve-resolved-alternating least squares (MCR-ALS) muscle synergy extraction method combined with long-short term memory neural network (LSTM) to estimate continuous elbow joint motion by using the sEMG datasets from different subjects and different days. The pre-processed sEMG signals were then decomposed into muscle synergies by MCR-ALS, NMF and PCA methods, and the decomposed muscle activation matrices were used as sEMG features. The sEMG features and elbow joint angular signals were input to LSTM to establish a neural network model. Finally, the established neural network models were tested by using sEMG dataset from different subjects and different days, and the detection accuracy was measured by correlation coefficient.ResultsThe detection accuracy of elbow joint angle was more than 85% by using the proposed method. This result was significantly higher than the detection accuracies obtained by using NMF and PCA methods. The results showed that the proposed method can improve the accuracy of motor intention detection results from different subjects and different acquisition timepoints.DiscussionThis study successfully improves the robustness of sEMG signals in neural network applications using an innovative muscle synergy extraction method. It contributes to the application of human physiological signals in human-machine interaction

Sinoporphyrin Sodium-Mediated Sonodynamic Therapy Inhibits RIP3 Expression and Induces Apoptosis in the H446 Small Cell Lung Cancer Cell Line

Background/Aims: Sonodynamic therapy (SDT) is expected to be a new method to solve the clinical problems caused by advanced metastasis in patients with lung cancer. The use of ultrasound has the advantage of being noninvasive, with deep-penetration properties. This study explored the anti-tumor effect of SDT with a new sonosensitizer, sinoporphyrin sodium (DVDMS), on the human small cell lung cancer H446 cell line in vitro and in vivo. Methods: Absorption of DVDMS was detected by a fluorescence spectrophotometer, and DVDMS toxicity was determined using a Cell Counting Kit-8. Mitochondrial membrane potential (MMP) was assessed using the JC-1 fluorescent probe. Cell apoptosis was measured by flow cytometry, and apoptosis-related proteins were detected by western blotting. The expression of cytokines was measured using an enzyme-linked immunosorbent assay and quantitative real-time PCR. To verify the in vitro results, we detected tumor volumes and weight changes in a xenograft nude mouse model after DVDMS-SDT. Hematoxylin and eosin staining was used to observe changes to the tumor, heart, liver, spleen, lung, and kidney of the mice, and immunohistochemistry was used to examine changes in the expression of tumor CD34 and receptor-interacting protein kinase-3 (RIP3), while terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling was used to observe apoptosis in tumor tissues. Results: DVDMS-SDT-treated H446 cells increased the rate of cellular apoptosis and the levels of reactive oxygen species (ROS), cleaved caspase-3, cleaved caspase-8, cleaved caspase-9, and caspase-10, and decreased the levels of MMP, RIP3, B-cell lymphoma 2, vascular endothelial growth factor, and tumor necrosis factor-α. The sonotoxic effect was mediated by ROS and was reduced by a ROS scavenger (N-acetyl-L-cysteine). In the in vivo mouse xenograft model, DVDMS-SDT showed efficient anti-cancer effects with no visible side effects. Conclusion: DVDMS-SDT induced apoptosis in H446 cells, in part by targeting mitochondria through the mitochondria-mediated apoptosis signaling pathway, and the extrinsic apoptosis pathway was also shown to be involved. Both apoptosis and changes in RIP3 expression were closely related to the generation of ROS. DVDMS-SDT will be advantageous for the management of small cell lung cancer due to its noninvasive characteristics

Porphyromonas gingivalis induces an inflammatory response via the cGAS-STING signaling pathway in a periodontitis mouse model

Periodontitis is an inflammatory disease initiated by periodontopathogenic bacteria in the dental plaque biofilms. Understanding the role of Porphyromonas gingivalis (P. gingivalis), a keystone pathogen associated with chronic periodontitis, in the inflammatory response is crucial. Herein, we investigated whether P. gingivalis infection triggers the expression of the type I IFN gene and various cytokines and leads to activation of the cGAMP synthase–stimulator of IFN genes (cGAS-STING) pathway both in vitro and in a mouse model. Additionally, in an experimental model of periodontitis using P. gingivalis, StingGt mice showed lower levels of inflammatory cytokines and bone resorption than wild-type mice. Furthermore, we report that a STING inhibitor (SN-011) significantly decreased inflammatory cytokine production and osteoclast formation in a periodontitis mouse model with P. gingivalis. In addition, STING agonist (SR-717) -treated periodontitis mice displayed enhanced macrophage infiltration and M1 macrophage polarization in periodontal lesions compared with that in vehicle-treated periodontitis mice. In conclusion, our results demonstrate that the cGAS-STING signaling pathway may be one of the key mechanisms crucial for the P. gingivalis-induced inflammatory response that leads to chronic periodontitis