Movement Distance Research Articles

Development of YOLOv8 and Segment Anything Model Algorithm-Based Hanok Object Detection Model for Sustainable Maintenance of Hanok Architecture

A Hanok refers to a traditional Korean architectural structure. Construction structures undergo gradual, rather than instantaneous, transformations due to material degradation and deterioration in joint durability. Moreover, the detection of a structural problem by a nonexpert has severe implications for the safety of the structure. In particular, the precise effects of natural disasters, including storms, earthquakes, heavy snowfall, and structural defects, on structures are hard to determine. Additionally, manuals are limited by their reliance on quantitative assessments, which can pose difficulties for nonspecialists when it comes to recording numerical data. To solve this problem, 3D scanners have been widely employed in evaluating Hanoks, particularly those assigned as cultural heritage by the government. While those assigned as cultural heritage assets are systematically managed by experts and through budgets, the management system for Hanoks inhabited by the public has been overlooked. To fill this gap, this study focused on digital devices that are accessible to nonexperts as replacements for professional 3D scanners. Specifically, data from photos of a Hanok taken with smartphones were extracted to generate objective numerical data. AI training data for Hanoks were used to train the YOLOv8 algorithm and Segment Anything Model (SAM). The leaning values of columns, which constitute a fundamental structural component of a Hanok, were calculated using photographs that precisely captured the columns. The direction and distance of the column’s movement were extracted for visualization. To ensure the reliability of these values, the Hanok under investigation was 3D-scanned. Comparing the numerical values revealed a negligible margin of error, which confirmed the reliability of the photographic data values. Five-tier safety states (good, observation, caution, danger, and very dangerous) were defined based on the column movement distance by analyzing the real measurement data of government-managed Hanoks and used to visualize the structural condition of Hanoks. Therefore, nonexperts can determine the structural safety of a Hanok using objective numerical data, even in situations where its progressive deformation is not readily apparent. Objective numerical analysis based on reliably collected data allows nonexperts to accurately diagnose structural safety, thus facilitating prompt and suitable actions. The results of this study can serve to enhance the stability and longevity of Hanok structures, thus facilitating sustainable maintenance and management.

Effects of electroacupuncture on Sirt3/NLRP3/GSDMD signaling pathway in the substantia nigra of midbrain of rats with Parkinson's disease.

To observe the effects on tyrosine hydroxylase (TH), α-synaptic nucleoprotein (α-syn), sirtuin 3 (Sirt3), NOD-like receptor 3 (NLRP3) and gasdermin-D (GSDMD) in the substantia nigra of midbrain after electroacupuncture (EA) at "Fengfu"(GV16), "Taichong" (LR3) and "Zusanli" (ST36) in rats of Parkinson's disease (PD), so as to explore the mechanism of EA in treatment of PD. SD rats were randomly divided into control, model and EA groups, with 10 rats in each group. The PD model was established by injecting rotenone into the neck and back, lasting 28 days. In the EA group, EA was applied to GV16, LR3 and ST36, 30 min each time, once daily, consecutively for 28 days. The open-field test was adopted to detect the total distance of autonomic movement of rats, and the pole climbing test was used to detect the body coordination ability of rats. In the substania nigra of midbrain, the positive expression of TH was determined using immunohistochemistry, the mRNA expression levels of α - syn, Sirt3, NLRP3 and GSDMD were detected by quantitative real-time fluorescence PCR, and the protein expression levels of NLRP3, apoptosis-associated speck-like protein containing a caspase-recruitment domain (ASC) and cysteinyl aspartate specific proteinase (Caspase)-1 were detected by Western blot. Compared with the control group, the total distance of autonomous movement was decreased (P<0.01) in the model group, and the score of pole climbing experiment was increased (P<0.01)；in the midbrain substantia nigra the positive expression of TH was decreased (P<0.01)；the mRNA expression level of Sirt3 was decreased (P<0.01), and those of α-syn, NLRP3 and GSDMD were increased (P<0.01)；while the protein expression levels of NLRP3, ASC and Caspase-1 were increased (P<0.01). When compared with the model group, the total distance of autonomous movement in open field experiment was increased (P<0.01) in the EA group and the score of pole climbing experiment was lower (P<0.05)；in the midbrain substantia nigra the positive expression of TH was increased (P<0.01)；the mRNA expression level of Sirt3 in the midbrain substantia nigra was increased (P<0.01), and those of α-syn, NLRP3 and GSDMD were reduced (P<0.01)；while the protein expression levels of NLRP3, ASC and Caspase-1 decreased (P<0.01, P<0.05). EA at "GV16" "LR3" and "ST36" can repair the neuronal injury, clear the abnormal accumulation of α-syn in the substania nigra of midbrain, and ameliorate mitochondrial damage in PD rats, which may be obtained by regulating Sirt3/NLRP3/GSDMD signaling pathway, so as to delay the occurrence and development of Parkinson's disease.

The therapeutic potential of Ziziphi Spinosae Semen and Polygalae Radix in insomnia management: Insights from gut microbiota and serum metabolomics techniques

Ethnopharmacological relevanceZiziphi Spinosae Semen and Polygalae Radix (ZSS-PR) constitute a traditional Chinese herbal combination with notable applications in clinical and experimental settings due to their evident sedative and calming effects. Aligned with traditional Chinese medicine principles, Ziziphi Spinosae Semen supports cardiovascular health, nourishes the liver, and induces mental tranquillity. Simultaneously, Polygalae Radix elicits calming effects, fosters clear thinking, and reinstates proper coordination between the heart and kidneys. ZSS-PR is commonly employed as a therapeutic intervention for various insomnia types, demonstrating distinct clinical efficacy. Our previous study findings provide evidence that ZSS-PR administration significantly reduces sleep onset latency, increases overall sleep duration, and improves abnormal neurotransmitter levels in a murine insomnia model. Aim of studyThis investigation aimed to scrutinize the intrinsic regulatory mechanism of ZSS-PR in managing insomnia using gut microbiota and serum metabolomics techniques. Materials and methodsMice were given DL-4-Chlorophenylalanine to induce insomnia and then treated with ZSS-PR. The open-field test assessed the animals' spontaneous activity. Concentrations of neurotransmitters, endocrine hormones, and cytokines in the duodenum were measured using enzyme linked immunosorbent assay, and brain histopathology was evaluated with H&E staining. The impact of ZSS-PR on the metabolic profile was examined by liquid chromatography couped to high resolution mass spectrometry, and 16S rDNA sequencing was used to study the influence of ZSS-PR on the gut microbiota. Additionally, the content of short-chain fatty acids (SCFAs) was analyzed by GC-MS. Finally, correlation analysis investigated relationships between biochemical markers, metabolites, SCFAs, and gut microbiota. ResultsZSS-PR treatment significantly increased movement time and distance in mice with insomnia and improved pathological impairments in the cerebral cortex and hippocampus. It also restored abnormal levels of biochemical markers in the gut of insomnia-afflicted mice, including 5-hydroxytryptamine, dopamine, gastrin, melatonin, tumour necrosis factor-α, and interleukin-1β. Metabolomics findings showed that ZSS-PR had a significant restorative effect on 15 endogenous metabolites in mice with insomnia. Furthermore, ZSS-PR primarily influenced five metabolic pathways, such as phenylalanine, tyrosine, and tryptophan biosynthesis, glutamine, and glutamate metabolism. Additionally, gut microbiota analysis revealed notable alterations in both diversity and microbial composition after ZSS-PR treatment. These changes were primarily attributed to the relative abundances of microbiota, including Firmicutes, Bacteroidota, Fusobacteriota, Muribaculaceae_unclassified, and Ligilactobacillus. The results of SCFAs analysis demonstrated that ZSS-PR effectively restored abnormal levels of acetic acid, propionic acid, isobutyric acid, butyric acid, isovaleric acid, and valeric acid in insomniac mice. Subsequent correlation analysis revealed that microbiota show obvious correlations with both biochemical markers and metabolites. ConclusionsThe results provide compelling evidence that ZSS-PR effectively mitigates abnormal activity, reduces cerebral pathological changes, and restores abnormal levels of neurotransmitters, endocrine hormones, and cytokines in mice with insomnia. The underlying mechanism is intricately linked to the modulation of gut microbiota and endogenous metabolic pathways.

Angiostrongylus cantonensis induces energy imbalance and dyskinesia in mice by reducing the expression of melanin-concentrating hormone

BackgroundInfection with Angiostrongylus cantonensis (AC) in humans or mice can lead to severe eosinophilic meningitis or encephalitis, resulting in various neurological impairments. Developing effective neuroprotective drugs to improve the quality of life in affected individuals is critical.MethodsWe conducted a Gene Ontology enrichment analysis on microarray gene expression (GSE159486) in the brains of AC-infected mice. The expression levels of melanin-concentrating hormone (MCH) were confirmed through real-time quantitative PCR (RT–qPCR) and immunofluorescence. Metabolic parameters were assessed using indirect calorimetry, and mice’s energy metabolism was evaluated via pathological hematoxylin and eosin (H&E) staining, serum biochemical assays, and immunohistochemistry. Behavioral tests assessed cognitive and motor functions. Western blotting was used to measure the expression of synapse-related proteins. Mice were supplemented with MCH via nasal administration.ResultsPostinfection, a marked decrease in Pmch expression and the encoded MCH was observed. Infected mice exhibited significant weight loss, extensive consumption of sugar and white fat tissue, reduced movement distance, and decreased speed, compared with the control group. Notably, nasal administration of MCH countered the energy imbalance and dyskinesia caused by AC infection, enhancing survival rates. MCH treatment also increased the expression level of postsynaptic density protein 95 (PSD95) and microtubule-associated protein-2 (MAP2), as well as upregulated transcription level of B cell leukemia/lymphoma 2 (Bcl2) in the cortex.ConclusionsOur findings suggest that MCH improves dyskinesia by reducing loss of synaptic proteins, indicating its potential as a therapeutic agent for AC infection.Graphical

Comparative evaluation of four types of orthodontic miniscrews in high angle and low angle cases during en mass retraction – A 6 months follow up in vivo study

: To determine the stability and retraction achieved after 6 months of placement of four types of Orthodontic Miniscrews (TADs) in low angle and high angle cases during en masse anterior retraction.: 4 different interradicular miniscrews [FavAnchor (Favourite Supplies), VectorTAS (Ormco), JJ Orthodontics, SK Surgicals] of similar dimensions were placed on the 4 quadrants of maxilla and mandible in 20 patients (10 High Angle and 10 Low Angle) undergoing all I premolar extraction requiring group-A Anchorage and retraction was done using 0.019 x 0.025 Stainless Steel archwire closed coil NiTi springs for 6 months. OPG and Lateral cephalogram was taken before and immediately after 6 months of loading. The retraction, stability and maxillary anterior intrusion achieved by the miniscrews was assessed by measuring the distance of movement occurred in 6 months between marked landmarks before and after retraction.: The most efficient miniscrew in high angle cases was found to be Vector TAS (Retraction=6.11±0.202mm, Displacement=1.40±0.37mm) followed by Favanchor (Displacement=6.00±0.41mm, 1.25±0.44mm) in both maxilla and mandible. Similarly, in low angle cases it was Favanchor (Retraction=6.04±0.24mm, Displacement=0.99±0.46mm) followed by Vector TAS (Retraction=5.91±0.36mm, Displacement=.095±0.35mm) in both maxilla and mandible. There is miniscrew failure with a significant percentage of 1.87% excluding which, there was no statistic difference in the displacement in High angle as well as Low angle cases, whereas, with the inclusion of failure, there is statistically significant difference in the stability. The least efficient in retraction and stability were SK Surgicals and JJ Orthodontics.: There is significant difference in the stability and retraction among the four miniscrews used in High angle and Low angle as well as Maxilla and Mandible owing to the density of the bone at the implant site and the soft tissue present apart from the material and make of individual miniscrew systems.

Novel physiological analysis using blood flow velocity for colonic polyps: Pilot study

Real-time visualization of red blood cell flow inside subepithelial microvessels is performed with magnifying endoscopy. However, microvascular blood flow velocity in the colorectum has not been investigated. Here, we aimed to evaluate the blood flow velocity of microvessels of colonic polyps and to compare it with that of surrounding mucosa. We examined 50 lesions, including 30 adenomas (ADs) and 20 hyperplastic polyps (HPs). Blood flow velocities of lesions and their surrounding mucosa were evaluated using magnifying blue laser imaging (BLI) prior to endoscopic resection. Calculation of mean blood flow velocities was based on mean movement distance of one tagged red blood cell using split video images of magnifying BLI. Mean microvascular blood flow velocity was significantly lower in ADs (1.65 ± 0.66 mm/sec; range 0.46–2.90) than in HPs (2.83 ± 1.10 mm/sec; 1.07-4.50) or the surrounding mucosa (3.73 ± 1.11 mm/sec; 1.80-6.20; P &lt; 0.001). The blood flow velocity rate compared with the surrounding mucosa was significantly lower in ADs (0.41 ± 0.16; 0.10-0.82) than in HPs (0.89 ± 0.25; 0.46-1.51; &lt;i&gt;P&lt;/i&gt; &lt; 0.001). We found that mean microvascular blood flow velocity was significantly lower in ADs than in HPs and the surrounding non-neoplastic mucosa. These findings indicate that a novel dynamic approach with microvascular blood flow velocity using magnifying endoscopy may be useful in assessing physiological differences between ADs and HPs.

Prediction of Human Reaching Pose Sequences In Human-Robot Collaboration

Abstract In Human-Robot Collaboration (HRC), robots and humans must work together in shared, overlapping, workspaces to accomplish tasks. If human and robot motion can be coordinated, then collisions between robot and human can seamlessly be avoided without requiring either of them to stop work. A key part of this coordination is anticipating humans' future motion so robot motion can be adapted proactively. In this work, a generative neural network predicts a multi-step sequence of human poses for tabletop reaching motions. The multi-step sequence is mapped to a time-series based on a human speed versus motion distance model. The input to the network is the human's reaching target relative to current pelvis location combined with current human pose. A dataset was generated of human motions to reach various positions on or above the table in front of the human starting from a wide variety of initial human poses. After training the network, experiments showed that the predicted sequences generated by this method matched the actual recordings of human motion within an L2 joint error of 7.6 cm and L2 link roll-pitch-yaw error of 0.301 radians on average. This method predicts motion for an entire reach motion without suffering from the exponential propagation of prediction error that limits the horizon of prior works.

Maternal immune activation induces sex-dependent behavioral differences in a rat model of schizophrenia.

Maternal immune activation (MIA) is a mature means to construct a schizophrenia model. However, some preclinical studies have reported that a MIA-induced schizophrenia model seemed to have gender heterogeneity in behavioral phenotype. On the other hand, the MIA's paradigms were diverse in different studies, and many details could affect the effect of MIA. To some extent, it is not credible and scientific to directly compare the gender differences of different MIA programs. Therefore, it is necessary to study whether the sex of the exposed offspring leads to behavioral differences on the premise of maintaining a consistent MIA mode. An animal model of schizophrenia was established by the administration of 10 mg/kg Poly (I: C) when dams were on day 9 of gestation. Then, a number of female and male offspring completed a series of behavioral tests during postnatal days 61-75. Compared with the female control group (n = 14), female MIA offspring (n = 12) showed a longer movement distance (d = 1.07, p < 0.05) and higher average speed (d = 1.08, p < 0.05) in the open field test (OFT). In the Y maze test, the percentage of entering the novel arm of female MIA offspring was lower (d = 0.92, p < 0.05). Compared with the male control group (n = 14), male MIA offspring (n = 13) displayed less movement distance (d = 0.93, p < 0.05) and a lower average speed (d = 0.94, p < 0.05) in the OFT. In the Y maze test, the proportion of exploration time in the novel arm of male MIA offspring was lower (d = 0.96, p < 0.05). In the EPM, male MIA offspring showed less time (d = 0.85, p < 0.05) and a lower percentage of time spent in the open arms (d = 0.85, p < 0.05). Male MIA offspring also had a lower PPI index (76 dB + 120 dB, d = 0.81, p < 0.05; 80 dB + 120 dB, d = 1.45, p < 0.01). Our results showed that the behavioral phenotypes induced by prenatal immune activation were highly dependent on the sex of the offspring.

Impaired proprioception and magnified scaling of proprioceptive error responses in chronic stroke

BackgroundPrevious work has shown that ~ 50–60% of individuals have impaired proprioception after stroke. Typically, these studies have identified proprioceptive impairments using a narrow range of reference movements. While this has been important for identifying the prevalence of proprioceptive impairments, it is unknown whether these error responses are consistent for a broad range of reference movements. The objective of this study was to characterize proprioceptive accuracy as function of movement speed and distance in stroke.MethodsStroke (N = 25) and controls (N = 21) completed a robotic proprioception test that varied movement speed and distance. Participants mirror-matched various reference movement speeds (0.1–0.4 m/s) and distances (7.5–17.5 cm). Spatial and temporal parameters known to quantify proprioception were used to determine group differences in proprioceptive accuracy, and whether patterns of proprioceptive error were consistent across testing conditions within and across groups.ResultsOverall, we found that stroke participants had impaired proprioception compared to controls. Proprioceptive errors related to tested reference movement scaled similarly to controls, but some errors showed amplified scaling (e.g., significantly overshooting or undershooting reference speed). Further, interaction effects were present for speed and distance reference combinations at the extremes of the testing distribution.ConclusionsWe found that stroke participants have impaired proprioception and that some proprioceptive errors were dependent on characteristics of the movement (e.g., speed) and that reference movements at the extremes of the testing distribution resulted in significantly larger proprioceptive errors for the stroke group. Understanding how sensory information is utilized across a broad spectrum of movements after stroke may aid design of rehabilitation programs.

Red deer responses to drive hunts are related to habitat and landscape characteristics

AbstractHunting triggers behavioral responses in wildlife that may have important consequences for conservation and wildlife management. We studied movement and habitat selection in 51 global positioning system‐collared red deer (Cervus elaphus) in response to 63 large‐scale (x̄ = 18.8 km2) drive hunts conducted in 2015‐2022 on a military training area in southern Germany. The drive hunts were characterized by a low density of beaters and dogs to avoid rapid and long‐distance displacement of red deer. We determined if red deer spatial responses to drive hunts differed in various forest covers, between sexes, and in relation to the individual position prior to the hunt. On the hunting days, red deer increased their hourly displacement rates and shifted their preference for forest versus open habitats from early morning to late morning hours. Individuals initially located within the boundaries of the hunted areas exhibited longer maximum net displacements, had a greater probability of leaving their home ranges, and spent longer times outside of their home ranges than individuals outside the hunted areas. All these parameters were greater in the more forested site than in the less forested site. Males displayed shorter net displacements than females. Red deer moved away (i.e., fled) from their initial positions for variable periods, either only during the hunt or until the next day. The probability of prolonged flight was greater in the more forested site and more likely if the individuals were deeper in the forest in the less forested site. The prolonged flight behavior was desired from the hunters' perspective because red deer displaying this type of response were less likely to leave the hunted area during the hunt. Prolonged flight was associated with greater costs for the red deer, such as greater movement distances after the hunt and longer times outside of home ranges. Wildlife managers should consider that drive hunts may cause prolonged behavioral responses in game that occur both inside and outside the hunted areas. These responses depend on habitat characteristics and may be stronger in more forested landscapes.

A RANDOM FOREST-BASED MODEL OF SCORE FLUCTUATIONS IN PROFESSIONAL TENNIS MATCHES

In tennis matches, the victory and turning points of the game are often influenced by various factors. To explore the factors that affect match fluctuations (changes in the flow of scoring) and to provide suggestions for athletes match strategies, this paper first identifies general indicators through a literature review and uses logistic regression to determine the effectiveness of the chosen model. Secondly, it employs the Fourier function fitting to identify turning points in the match. Considering the scarcity of turning points in the game, this paper uses the SMOTE method to expand the dataset. Subsequently, it tests with a random forest classification model, achieving an accuracy of 93.433%. To improve the models accuracy, several indicators were added to the original model, resulting in a correct rate of 98.51%. Finally, to verify the models results and applicability, the model was applied to other matches with good results. A sensitivity analysis was conducted, revealing good model stability. The model results indicate that the main factors affecting the appearance of turning points include the players movement distance during the match, whether there are changes in the depth and width of the return, score differences, and the maximum number of consecutive wins. When tested in other types of matches, we found that the importance of these factors may change to some extent, but the results remain satisfactory. KEYWORDS: Volatility prediction, Random Forest, Logistic regression, Sensitivity analysis.

Enhancing emotion regulation: investigating the efficacy of transcutaneous electrical acupoint stimulation at PC6 in reducing fear of heights.

This study investigated the impact of transcutaneous electrical acupoint stimulation (TEAS) at Neiguan acupoint (PC6) on the physiological and behavioral responses of participants exposed in virtual height. 40 participants were included in the study and were randomly assigned to either a control group or an intervention group. Participants had an immersive experience with a VR interactive platform that provided somatosensory interaction in height stimulation scenes. Psychological scores, behavioral and cognitive performance, and physiological responses were recorded and analyzed. The results indicated that the intervention group had significantly lower fear scores compared to the control group. Analysis of heart rate variability revealed that the intervention group exhibited improved heart rate variability, indicating enhanced cardiovascular function and emotion regulation. The behavioral and cognitive results demonstrated that the intervention group exhibited higher left eye openness, faster reaction times, and greater movement distance, suggesting enhanced attentional focus, cognitive processing, and reduced avoidance behaviors. These findings suggest that TEAS at PC6 can effectively reduce fear and improve the regulation of physiological and behavioral responses to negative emotional stimuli.

Maternal separation regulates sensitivity of stress-induced depression in mice by affecting hippocampal metabolism

Depression is a serious mental illness. Previous studies found that early life stress (ELS) plays a vital role in the onset and progression of depression. However, relevant studies have not yet been able to explain the specific effects of early stress on stress-induced depression sensitivity and individual behavior during growth. Therefore, we constructed a maternal separation (MS) model and administered chronic social frustration stress at different stages of their growth while conducting metabolomics analysis on the hippocampus of mice. Our results showed that the immobility time of mice in the forced swimming test was significantly reduced at the end of MS. Meanwhile, mice with MS experience significantly decreased total movement distance in the open field test and sucrose preference ratio in the sucrose preference test when subjected to chronic social defeat stress (CSDS) during adolescence. In adulthood, the results were the opposite. In addition, we found that level changes in metabolites such as Beta-alanine, l-aspartic acid, 2-aminoadipic acid, and Glycine are closely related to behavioral changes. These metabolites are mainly enriched in Pantothenate, CoA biosynthesis, and Beta Alanine metabolism pathways. Our experiment revealed that the effects of ELS vary across different age groups. It will increase an individual's sensitivity to depression when facing CSDS in adolescence, but it will reduce their sensitivity to depression when facing CSDS in adulthood. This may be achieved by regulating the hippocampus's Pantothenate and CoA biosynthesis and Beta Alanine metabolism pathways represented by Beta-alanine, l-Aspartic acid, 2-aminoadipic acid, and Glycine metabolites.

Dynamic Multiple Object Segmentation with Spatio-Temporal Filtering.

This article primarily focuses on the localization and extraction of multiple moving objects in images taken from a moving camera platform, such as image sequences captured by drones. The positions of moving objects in the images are influenced by both the camera's motion and the movement of the objects themselves, while the background position in the images is related to the camera's motion. The main objective of this article was to extract all moving objects from the background in an image. We first constructed a motion feature space containing motion distance and direction, to map the trajectories of feature points. Subsequently, we employed a clustering algorithm based on trajectory distinctiveness to differentiate between moving objects and the background, as well as feature points corresponding to different moving objects. The pixels between the feature points were then designated as source points. Within local regions, complete moving objects were segmented by identifying these pixels. We validated the algorithm on some sequences in the Video Verification of Identity (VIVID) program database and compared it with relevant algorithms. The experimental results demonstrated that, in the test sequences when the feature point trajectories exceed 10 frames, there was a significant difference in the feature space between the feature points on the moving objects and those on the background. Correctly classified frames with feature points accounted for 67% of the total frames.The positions of the moving objects in the images were accurately localized, with an average IOU value of 0.76 and an average contour accuracy of 0.57. This indicated that our algorithm effectively localized and segmented the moving objects in images captured by moving cameras.

Zhumian Granules improves PCPA-induced insomnia by regulating the expression level of neurotransmitters and reducing neuronal apoptosis

Ethnopharmacological relevanceSleep problems, according to Traditional Chinese medicine (TCM) philosophy, are attributed to the imbalance between yin and yang. Zhumian Granules, also known as Sleep-aid Granules or ZG, are a traditional Chinese herbal remedy specifically designed to alleviate insomnia. This formula consists of many components, including Wu Wei Zi (Schisandrae Chinensis Fructus), Suan Zao Ren (Ziziphi Spinosae Semen), and other medicinal plants. According to the pharmacology of Traditional Chinese Medicine (TCM), Wu Wei Zi and Suan Zao Ren have the ability to relax the mind and promote sleep. When taken together, they may balance the opposing forces of yin and yang. Therefore, ZG may potentially be used as a therapeutic treatment for insomnia. Aim of the studyThis research was specifically developed to establish a strong empirical basis for the subsequent advancement and utilization of ZG in the management of insomnia. This research aimed to gather empirical data to support the effectiveness of ZG, thereby providing useful insights into its potential therapeutic advantages for persons with insomnia. Materials and methodsThis study utilized Zhumian Granules (ZG), a traditional Chinese herbal decoction, to examine its sedative and hypnotic effects on mice with PCPA-induced insomnia. The effects were assessed using the pentobarbital-induced sleep test (PIST), Morris water maze test (MWM), and autonomic activity test. The levels of neurotransmitters in each group of mice were evaluated using UPLC-QQQ-MS. The impact of ZG on the quantity and structure of hippocampal neurons was seen in brain tissue slices using immunofluorescence labeling. ResultsZG was shown to possess active sedative properties, effectively lowering the distance of movement and lengthening the duration of sleep. ZG mitigated the sleeplessness effects of PCPA by elevating the levels of 5-hydroxytryptamine (5-HT), 4-aminobutyric acid (GABA), and 5-hydroxyindoleacetic acid (5-HIAA), while reducing the levels of dopamine (DA) and norepinephrine (NE), as well as decreasing neuronal death. ConclusionsThis research confirmed the sedative and hypnotic properties of ZG and elucidated its probable mechanism involving neurotransmitters.

Route design in sheepdog system–traveling salesman problem formulation and evolutionary computation solution–

ABSTRACT In this study, we consider the guidance control problem of the sheepdog system, which involves the guidance of a flock using the characteristics of the sheepdog and sheep. Sheepdog systems require strategies to guide sheep agents to a goal area using small numbers of sheepdog agents, and various methods have been proposed. Previous studies have proposed a guidance control law to reliably guide sheep herds; however, the movement distance required by the sheepdog for guidance has not been considered. Therefore, in this study, we propose a novel guidance algorithm in which a supposedly efficient route for guiding a flock of sheep is designed via the traveling salesman problem and evolutionary computation. Numerical simulations were performed to confirm whether sheep flocks could be guided and controlled using the obtained guidance routes. We revealed that the proposed method reduces both the guidance failure rate and the guidance distance.

Distribution pattern, geometric characteristics and tectonic significance of landslides triggered by the strike-slip faulting 2022 Ms 6.8 Luding earthquake

On September 5th, 2022, an Ms 6.8 earthquake struck the Luding area of Gaze Tibetan Autonomous Prefecture, Sichuan Province, China. This earthquake with a focal depth of 16 km at 29.49°N, 102.22°E (hereinafter called the Luding earthquake) was generated by a strike-slip faulting and triggered at least 5000 landslides over an area of 5000 km2. Over 80 % of landslides are distributed in areas with a seismic intensity of IX, which mainly consist of massive shallow landslides with a few topples, rockfalls, and debris flows. Statistically, coseismic landslides are prone to occur in areas with low elevations, steep hillslope gradient, and high ground motion, and most of them are distributed in four landslide abundance areas, including the Moxi area (Sub-1), the Wandong area (Sub-2), the Wanggangping area (Sub-3) and Xingfu area (Sub-4). Among them, the landslide scale and abundance index peaks in the Sub-2 and Sub-4 areas featured by the low-elevation valley landform with large relief and steep slopes. The geometric parameters of landslides show that the majority of landslides have the height difference between 15 and 150 m and a movement distance between 50 and 250 m. As the landslide area increases, the length and height of the landslide follow a growth trend which can be described by the logarithmic relationship. Compared to other strike-slip seismic events, the Luding event has the more obvious ability to trigger coseismic landslides. The spatial distribution of coseismic landslides is controlled by the seismogenic fault, and over 85 % of landslides are roughly distributed within a range of 5 km on both sides of the seismogenic fault. Overall, the west side of the seismogenic fault has higher landslide abundance and pronounced near-surface rupture, and it thus can be inferred that the seismogenic fault dips slightly westward based on the source mechanism solution and actual landslide distribution.

Proximal row carpectomy with interposition arthroplasty using both capsular flap and acellular human dermal matrix

BackgroundIn cases of wrist arthritis, proximal row carpectomy (PRC) has been widely utilized and shown favorable long-term outcomes. However, its applicability is limited in cases where arthritis extends to the lunate fossa or capitate. Recently, surgical approaches combining various methods of interposition arthroplasty have been introduced to overcome these drawbacks. The purpose of this study was to perform PRC and interposition arthroplasty with dorsal capsule and acellular dermal matrix(ADM),and analyze the clinical outcomes of these procedures.MethodsFourteen cases who underwent PRC and interposition arthroplasty using both dorsal capsular flap and ADM were retrospectively recruited. The researchers assessed the patients’ Visual Analog Scale (VAS) pain score, Disabilities of the Arm, Shoulder and Hand (DASH) scores, range of motion (ROM), retear, and radiocarpal distance (RCD).ResultsOne year post-surgery, both the VAS pain scores, DASH scores, and ROM showed statistically significant improvement compared to before the surgery. Upon reviewing the radiological results, the postoperative mean RCD was 4.8 ± 0.8 mm and one year follow up mean RCD was 3.6 ± 0.5 mm at one year post-surgery. Moreover, in the one year follow-up, there was no observed failure of the allodermis graft in any of the cases.ConclusionThe PRC and interposition arthroplasty with ADM demonstrated significantly improved clinical outcomes after surgery, showing a maintain of RCD without graft failure effectively.

[Improvement effect of cinnamaldehyde on reserpine-induced Parkinson's disease rat model].

In order to study the neuroprotective mechanism of cinnamaldehyde on reserpine-induced Parkinson's disease(PD) rat models, 72 male Wistar rats were randomly divided into blank group, model group, Madopar group, and cinnamaldehyde high-, medium-, and low-dose groups. Except for the blank group, the other groups were intraperitoneally injected with reserpine of 0.1 mg·kg~(-1) once every other morning, and cinnamaldehyde and Madopar solutions were gavaged every afternoon. Open field test, rotarod test, and oral chewing movement evaluation were carried out in the experiment. The brain was taken and fixed. The positive expression of dopamine receptor D1(DRD1) was detected by TSA, and the changes in neurotransmitters such as dopamine(DA) and 3,4-dihydroxyphenylacetic acid(DOPAC) in the brain were detected by enzyme-linked immunosorbent assay(ELISA). The protein and mRNA expression levels of tyrosine hydroxylase(TH) and α-synuclein(α-Syn) in substantia nigra(SN) were detected by RT-PCR and Western blot. The results showed that after the injection of reserpine, the hair color of the model group became yellow and dirty; the arrest behavior was weakened, and the body weight was reduced. The spontaneous movement and exploration behavior were reduced, and the coordination exercise ability was decreased. The number of oral chewing was increased, but the cognitive ability was decreased, and the proportion of DRD1 positive expression area in SN was decreased. The expression of TH protein and mRNA was down-regulated, and that of α-Syn protein and mRNA was up-regulated. After cinnamaldehyde intervention, it had an obvious curative effect on PD model animals. The spontaneous movement behavior, the time of staying in the rod, the time of movement, the distance of movement, and the number of standing times increased, and the number of oral chewing decreased. The proportion of DRD1 positive expression area in SN increased, and the protein and mRNA expression levels of α-Syn were down-regulated. The protein and mRNA expression levels of TH were up-regulated. In addition, the levels of DA, DOPAC, and homovanillic acid(HVA) neurotransmitters in the brain were up-regulated. This study can provide a new experimental basis for clinical treatment and prevention of PD.

Multidimensional morphological analysis of live sperm based on multiple-target tracking

Manual semen evaluation methods are subjective and time-consuming. In this study, a deep learning algorithmic framework was designed to enable non-invasive multidimensional morphological analysis of live sperm in motion, improve current clinical sperm morphology testing methods, and significantly contribute to the advancement of assisted reproductive technologies. We improved the FairMOT tracking algorithm by incorporating the distance and angle of the same sperm head movement in adjacent frames, as well as the head target detection frame IOU value, into the cost function of the Hungarian matching algorithm. For sperm morphology, we used the BlendMask segmentation method to segment individual sperm. SegNet was used to separate the head, midpiece, and principal piece comments from each sperm. Experienced in vivo sperm physicians confirmed a morphological accuracy percentage of 90.82%. A total of 1272 samples were collected from multiple tertiary hospitals for validation of the system, which were also evaluated by physicians. The results of our system were highly consistent with those of manual microscopy. This study realized the automated detection of progressive motility and morphology of sperm simultaneously, which is crucial for selection of morphologically normal and motile sperm for intracytoplasmic sperm injection.