Photopolymerizable and Antibacterial Hydrogels Loaded with Metabolites from Lacticaseibacillus rhamnosus GG for Infected Wound Healing.

In response to increasing antibiotic resistance and the pressing demand for safer infected wound care, probiotics have emerged as promising bioactive agents. To address the challenges associated with the safe and efficient application of probiotics, this study successfully loaded metabolites from Lacticaseibacillus rhamnosus GG (LGG) into a gelatin cross-linked macromolecular network by an in situ blending and photopolymerization method. The obtained LM-GelMA possesses injectability and autonomous healing capabilities. Importantly, the incorporation of LGG metabolites endows LM-GelMA with excellent antibacterial properties against Staphylococcus aureus and Escherichia coli, while maintaining good biocompatibility. In vivo assessments revealed that LM-GelMA can accelerate wound healing by mitigating infections induced by pathogenic bacteria. This is accompanied by a reduction in the expression of key proinflammatory cytokines such as TNF-α, IL-6, VEGFR2, and TGF-ß, leading to increased re-epithelialization and collagen formation. Moreover, microbiological analysis confirmed that LM-GelMA can modulate the abundance of beneficial wound microbiota at family and genus levels. This study provides a facile strategy and insights into the functional design of hydrogels from the perspective of wound microenvironment regulation.

Sex discrepancy in establishing mouse visceral obesity model induced by high-fat diet. / é«˜è„‚é¥®é£Ÿè¯±å¯¼çš„å† è„è‚¥èƒ–å°é¼ æ¨¡åž‹å­˜åœ¨æ€§åˆ«å·®å¼‚.

OBJECTIVES: To establish a mouse visceral obesity model, and to investigate the effect of animal sex on this model. METHODS: Thirty-two 4-week-old BALB/c mice were randomly divided into female control group, female high-fat group, male control group and male high-fat group with 8 mice in each group.The control groups were given ordinary diet, and the high-fat groups were given high-fat diet. After 12 weeks of feeding, body weight, visceral fat, fasting blood glucose, glucose tolerance, blood lipid and metabolism-related hormone levels were measured, and the composition of gut microbiota of mice was analyzed by 16S rRNA sequencing. RESULTS: The high fat diet resulted in a significant increase of body weight and visceral fat content in male mice; the pathological results showed significantly increased fat area, accumulation of liver fat droplets, increased total cholesterol, fasting blood glucose, oral glucose tolerance and serum insulin levels (all P<0.05), as well as significant insulin resistance (P<0.01). However, the above changes were not significant in female mice. Compared with the control groups, there was an increase in the relative abundance of obesity-related gut microbiota in the model groups (such as Blautia), and the microbiota structure changed significantly, while the changes were less obvious in female mice. CONCLUSIONS: A visceral obesity mouse model has been stably established by feeding high-fat diet in BALB/c male mice, showing visceral fat accumulation, metabolic dysfunction and gut microbiota changes; while female mice are not sensitive in this obesity model.

A Recognition Method for Soft Objects Based on the Fusion of Vision and Haptics.

For humans and animals to recognise an object, the integration of multiple sensing methods is essential when one sensing modality is only able to acquire limited information. Among the many sensing modalities, vision has been intensively studied and proven to have superior performance for many problems. Nevertheless, there are many problems which are difficult to solve by solitary vision, such as in a dark environment or for objects with a similar outlook but different inclusions. Haptic sensing is another commonly used means of perception, which can provide local contact information and physical features that are difficult to obtain by vision. Therefore, the fusion of vision and touch is beneficial to improve the robustness of object perception. To address this, an end-to-end visual-haptic fusion perceptual method has been proposed. In particular, the YOLO deep network is used to extract vision features, while haptic explorations are used to extract haptic features. Then, visual and haptic features are aggregated using a graph convolutional network, and the object is recognised based on a multi-layer perceptron. Experimental results show that the proposed method excels in distinguishing soft objects that have similar appearance but varied interior fillers, comparing a simple convolutional network and a Bayesian filter. The resultant average recognition accuracy was improved to 0.95 from vision only (mAP is 0.502). Moreover, the extracted physical features could be further used for manipulation tasks targeting soft objects.

Lacticaseibacillus paracasei K56 Attenuates High-Fat Diet-Induced Obesity by Modulating the Gut Microbiota in Mice.

This study investigated the effects of Lacticaseibacillus paracasei K56 (L. paracasei K56) on body weight, body composition, and glycolipid metabolism in mice with high-fat diet-induced obesity and explored the underlying mechanisms. Male C57BL/6J mice were fed a high-fat diet for 8 weeks to induce obesity; then, the obese mice were gavaged with or without L. paracasei K56 for 10 weeks. The body weight, body composition, fat mass, blood lipid, blood glucose, and hormones of the mice were evaluated. Moreover, the fatty acid synthesis (FAS) and peroxisome proliferator-activated receptor γ (PPAR-γ) expressions in the liver were detected via Western blotting. 16S rRNA gene sequencing was adopted to determine the gut microbiota alterations. The high-fat diet successfully induced obesity, as indicated by the abnormal increase in body weight, visceral fat, fat mass, blood lipids, fasting blood glucose, and insulin-resistance. Moreover, the FAS expression in the liver was significantly increased, whereas the PPAR-γ expression was significantly decreased. The relative abundance of Proteobacteria, Actinobacteria and Patescibacteria was also significantly increased, and that of Verrucomicrobia was significantly decreased. However, these indicators of mice supplemented with L. paracasei K56 were significantly opposite to those of obese mice. The Ruminococcuaceae_UCG-013, Akkermansia, Prevotellaceae_UCG-001, Muribaculum, and Lachnospiraceae_NK4A136 groups were significantly negatively correlated with body weight, blood lipids, and blood glucose-related indicators, whereas Coriobacteriaceae_UCG-002, Enterorhabdus, Raoultibacter, Acinetobacter, Romboutsia, Leuconostoc, and Erysipelatoclostridium were significantly positively correlated with these indicators. L. paracasei K56 might be a promising probiotic strain that could effectively slow down the body weight gain, reduce fat accumulation, alleviate insulin-resistance, and restore pancreatic ß-cell function in obese mice by regulating the gut microbiota.

Breastfeeding might partially contribute to gut microbiota construction and stabilization of propionate metabolism in cesarean-section infants.

PURPOSE: This study was aimed to determine how delivery mode and feeding pattern influence the infant's gut microbiota construction and the variation of fecal microbial metabolites from a birth cohort. METHODS: Fecal samples collected from 61 full-term born Chinese infants at four time points: day 0, day 7, month 1, and month 3. Based on delivery mode (vaginal delivery [V] or cesarean section [C]) and feeding pattern (breastfeeding [B] or mixed feeding [M]), infants were divided into four groups, namely VB, CB, VM, and CM groups. The gut microbiota composition and bacterial diversity were assessed using 16S rRNA sequencing. Short-chain fatty acid (SCFA) concentrations were determined via gas chromatography-mass spectrometry (GC-MS). RESULTS: The CM group had a significantly higher relative abundance of Firmicutes (day 0 and month 1), Enterococcaceae (month 3), and Enterococcus (month 3) than the VB group and a significantly higher abundance of Firmicutes (month 1) and Blautia (month 3) than the CB group. The VB and CB groups exhibited a stable SCFA variation and a significantly lower level of propionate compared with the VM and CM groups. All groups showed an intense transition of enterotypes within 1 month and became stable at 3 months. The correlation between SCFA and enterotypes showed a significant positive correlation between Bifidobacteriaceae and acetate in the CB group (day 7 and month 3) and a significant positive correlation between Clostridiaceae and butyrate in the CB and VB groups (day 7 and month 3), respectively. CONCLUSION: These results indicated that C-section was associated with higher abundance of the phylum Firmicutes and family Enterococcaceae, and intense fluctuation of SCFA, at least propionate. And breastfeeding might partially contribute to gut microbiota construction and stabilization propionate metabolism in cesarean-section infants.

A Spatiotemporal Calibration Algorithm for IMU-LiDAR Navigation System Based on Similarity of Motion Trajectories.

The fusion of light detection and ranging (LiDAR) and inertial measurement unit (IMU) sensing information can effectively improve the environment modeling and localization accuracy of navigation systems. To realize the spatiotemporal unification of data collected by the IMU and the LiDAR, a two-step spatiotemporal calibration method combining coarse and fine is proposed. The method mainly includes two aspects: (1) Modeling continuous-time trajectories of IMU attitude motion using B-spline basis functions; the motion of the LiDAR is estimated by using the normal distributions transform (NDT) point cloud registration algorithm, taking the Hausdorff distance between the local trajectories as the cost function and combining it with the hand-eye calibration method to solve the initial value of the spatiotemporal relationship between the two sensors' coordinate systems, and then using the measurement data of the IMU to correct the LiDAR distortion. (2) According to the IMU preintegration, and the point, line, and plane features of the lidar point cloud, the corresponding nonlinear optimization objective function is constructed. Combined with the corrected LiDAR data and the initial value of the spatiotemporal calibration of the coordinate systems, the target is optimized under the nonlinear graph optimization framework. The rationality, accuracy, and robustness of the proposed algorithm are verified by simulation analysis and actual test experiments. The results show that the accuracy of the proposed algorithm in the spatial coordinate system relationship calibration was better than 0.08° (3δ) and 5 mm (3δ), respectively, and the time deviation calibration accuracy was better than 0.1 ms and had strong environmental adaptability. This can meet the high-precision calibration requirements of multisensor spatiotemporal parameters of field robot navigation systems.

Orlistat and ezetimibe could differently alleviate the high-fat diet-induced obesity phenotype by modulating the gut microbiota.

This study aimed to evaluate the possible anti-obesity effects of orlistat and ezetimibe and determine the mechanism by which they alter the composition of gut microbiota and short-chain fatty acids (SCFAs) in mice with a high-fat diet (HFD)-induced obesity. Eighty male, specific pathogen-free C57BL/6J mice aged 3 weeks were divided into four groups (n = 20). The NCD group was fed with a normal diet, and the HFD, HFD+ORL, and HFD+EZE groups were fed with HFD for 20 weeks. From the 13th week onward, the HFD+ORL and HFD+EZE groups were administered with orlistat and ezetimibe, respectively. The glucose and lipid metabolism of the tested mice were evaluated by analyzing blood biochemical indicators during the intervention. Furthermore, the changes in the structure of the fecal microbiota and the fecal SCFA content were analyzed by 16S rRNA sequencing and gas chromatography-mass spectrometry, respectively. HFD induced the obesity phenotype in mice. Compared to the HFD group, the body weight, visceral fat-to-body weight ratio, serum total cholesterol (TC), high-density lipoprotein-cholesterol (HDL-C), and oral glucose tolerance test (OGTT) of the HFD+ORL group significantly decreased, whereas fecal butyric acid levels significantly increased. Ezetimibe intervention significantly reduced the OGTT, serum TC, and HDL-C levels only. The α-diversity of the gut microbiota significantly decreased after intervention with orlistat and ezetimibe. Orlistat altered the relative abundance of some bacteria in the fecal microbiota. The populations of Firmicutes, Alistipes, and Desulfovibrio decreased, whereas those of Verrucomicrobia and Akkermansia significantly increased. Ezetimibe caused changes only in some low-abundance bacteria, as manifested by a decrease in Proteobacteria and Desulfovibrio, and an increase in Bacteroides. The administration of orlistat and ezetimibe can characteristically influence the body weight and serum lipid metabolism, and glucolipid levels in diet-induced obese mice and is accompanied by significant changes in the gut microbiota and SCFAs. These results suggest that the two drugs might exert their own specific anti-obesity effects by modulating the gut microbiota in a different manner. The enhanced health-promoting effect of orlistat might result from its stronger ability to alter the gut microbiota and SCFAs, at least partly.

Early life administration of Bifidobacterium bifidum BD-1 alleviates long-term colitis by remodeling the gut microbiota and promoting intestinal barrier development.

Inflammatory bowel disease (IBD) is a chronic intestinal disease characterized by microbiota disturbance and intestinal mucosal damage. The current study aimed to investigate the preventive effects of Bifidobacterium bifidum BD-1 (BD-1) against long-term IBD and possible mechanism by which it alters the gut microbiota, immune response, and mucosal barrier. Our study found that early treatment of BD-1 + Ceftri (ceftriaxone followed by BD-1) and BD-1 confers a certain protective effect against the occurrence of long-term Dextran sulfate sodium-induced colitis, which manifests as a decrease in inflammation scores and MPO activity levels, as well as a relatively intact intestinal epithelial structure. Moreover, compared to BD-1, Ceftri, and NS, early treatment with BD-1 + Ceftri promoted greater expression levels of mucosal barrier-related proteins [KI67, MUC2, ZO-1, secretory immunoglobulin A (slgA), Clauding-1, and Occludin], better local immune responses activation, and moderately better modulation of systemic immune responses during long-term colitis. This may be due to the fact that BD-1 + Ceftri can deliberately prolong the colonization time of some beneficial microbiota (e.g., Bifidobacterium) and reduce the relative abundance of inflammation-related microbiota (e.g., Escherichia/Shigella and Ruminococcus). Interestingly, we found that the changes in the gut barrier and immunity were already present immediately after early intervention with BD-1 + Ceftri, implying that early effects can persist with appropriate intervention. Furthermore, intervention with BD-1 alone in early life confers an anti-inflammatory effect to a certain degree in the long-term, which may be due to the interaction between BD-1 and the host's native gut microbiota affecting intestinal metabolites. In conclusion, BD-1 was not as effective as BD-1 + Ceftri in early life, perhaps due to its failure to fully play the role of the strain itself under the influence of the host's complex microbiota. Therefore, further research is needed to explore specific mechanisms for single strain and native microbiota or the combination between probiotics and antibiotics.

Review of Current Robotic Approaches for Precision Weed Management.

Purpose of Review: The goal of this review is to provide an overview of current robotic approaches to precision weed management. This includes an investigation into applications within this field during the past 5 years, identifying which major technical areas currently preclude more widespread use, and which key topics will drive future development and utilisation. Recent Findings: Studies combining computer vision with traditional machine learning and deep learning are driving progress in weed detection and robotic approaches to mechanical weeding. Integrating key technologies for perception, decision-making, and control, autonomous weeding robots are emerging quickly. These effectively save effort while reducing environmental pollution caused by pesticide use. Summary: This review assesses different weed detection methods and weeder robots used in precision weed management and summarises the trends in this area in recent years. The limitations of current systems are discussed, and ideas for future research directions are proposed.

Influence of high-fat diet on host animal health via bile acid metabolism and benefits of oral-fed Streptococcus thermophilus MN-ZLW-002.

In this study, C57BL/6J male mice were fed normal chow (NC; control) or a high-fat diet (HFD) for 12 weeks, and HFD mice were supplemented with oral administration of Streptococcus thermophilus MN-ZLW-002 (HFD + MN002); n=20/group. Body weight, visceral fat, blood glucose, blood lipids and liver lipid deposition increased in the HFD group, and the composition of gut microbiota, cecum short-chain fatty acids and fecal bile acids (BAs) also changed. Oral-fed MN-002 increased the relative abundances of Ruminococcaceae, Lachnospiraceae and Streptococcaceae and improved blood glucose, liver cholesterol deposition, and serum IL-10, CCL-3 and the fecal BAs composition. In conclusion, the high-fat diet changed the composition of bile acids by shaping the gut microbiota into an obese type, leading to metabolic disturbances. Streptococcus thermophilus MN-ZLW-002 regulated gut microbiota by adjusting the composition of bile acids and improved the perturbation caused by high-fat diets. However, the effect of MN002 observed in animal experiments needs to be verified by long-term clinical trials.

Circadian Rhythm Regulated by Tumor Suppressor p53 and Time Delay in Unstressed Cells.

Circadian function and p53 network are interconnected on the molecular level, but the dynamics induced by the interaction between the circadian factor Per2 and the tumor suppressor p53 remains poorly understood. Here, we constructed an integrative model composed of a circadian clock module and a p53-Mdm2 feedback module to study the dynamics of p53-Per2 network in unstressed cells. As expected, the model can accurately predict the circadian rhythm, which is consistent with diverse experimental observations. In addition, using a combination of theoretical analysis and numerical simulation, the results demonstrated that p53 expression enhances the phase advance of circadian rhythm and reduces the robustness of circadian rhythm. Furthermore, the time delay required for the transcription and translation of Per2 protein induces oscillations by undergoing a supercritical Hopf bifurcation, and improves the robustness of circadian rhythm. In summary, this work shows that the p53-Per2 interaction and the time delay are two essential factors for circadian functions.

Autonomous Identification and Positioning of Trucks during Collaborative Forage Harvesting.

In the process of collaborative operation, the unloading automation of the forage harvester is of great significance to improve harvesting efficiency and reduce labor intensity. However, non-standard transport trucks and unstructured field environments make it extremely difficult to identify and properly position loading containers. In this paper, a global model with three coordinate systems is established to describe a collaborative harvesting system. Then, a method based on depth perception is proposed to dynamically identify and position the truck container, including data preprocessing, point cloud pose transformation based on the singular value decomposition (SVD) algorithm, segmentation and projection of the upper edge, edge lines extraction and corner points positioning based on the Random Sample Consensus (RANSAC) algorithm, and fusion and visualization of results on the depth image. Finally, the effectiveness of the proposed method has been verified by field experiments with different trucks. The results demonstrated that the identification accuracy of the container region is about 90%, and the absolute error of center point positioning is less than 100 mm. The proposed method is robust to containers with different appearances and provided a methodological reference for dynamic identification and positioning of containers in forage harvesting.

Lactobacilli and bifidobacteria derived from infant intestines may activate macrophages and lead to different IL-10 secretion.

In this study, three strains of lactobacilli and bifidobacteria originally isolated from healthy infants, were tested for their abilities to activate RAW264.7 cells. Gene expression and cytokine production of interleukin-10 (IL-10) of RAW264.7 cells were evaluated. The activation of extracellular regulated protein kinases 1/2 (ERK1/2), p38, and nuclear factor-κB (NK-κB) were also assessed. These results suggest lactobacilli and bifidobacteria in infants may promote production of IL-10 in macrophages, conferring a protective effect in hosts suffering from inflammation. Dimerization of TLR2 and MyD88 and subsequent phosphorylation of the key downstream signaling molecules, such as MAPKs and NK-κB, may be one of the key underlying mechanisms of activation of macrophages by these microbes. Bifidobacteria and lactobacilli induced macrophages to secrete IL-10 in a different manner, which may relate to their abilities to activate key signaling pathways mediated by TLR2 and MyD88.

[Effects of oral administration of ceftriaxone in early life on glucolipid metabolism of high fat diet-induced mice].

OBJECTIVE: This study aimed to explore whether exposure to ceftriaxone during early life could influences glucose and lipid metabolism of high fat diet-induced mice. METHODS: Total 48 of female BALB/c aged 2 week old were randomly divided into control group(treated with saline), antibiotic group(treated with100 mg/kg ceftriaxone), high-fat diet group(treated with saline) and combined action group(treated with 100 mg/kg ceftriaxone)(n=12), respectively to stop gavage 2 weeks later. Then high-fat diet group and combined action group were fed with high-fat diet for 12 weeks. Fasting blood glucose(FBG) and oral glucose tolerance test were conducted in the last week. Serum total cholesterol(TC), triglyceride(TG), high-density lipoprotein cholesterol(HDL-C), low-density lipoprotein cholesterol(LDL-C), fasting insulin, leptin and TG, TC in liver were also measured. Furthermore, homeostasis model assessment of insulin resistance(HOMA-IR) was calculated from FBG and insulin. RESULTS: Compared with normal chow diet, high-fat diet impaired oral glucose tolerance and increased the levels of abdominal adipose tissue, FBG, HOMA-IR, lips in serum and liver and leptin(P<0. 05). The oral administration of ceftriaxone in early life impaired oral glucose tolerance and increased the levels of abdominal adipose tissue, FBG and TG in liver(P<0. 05). In addition, early ceftriaxone intervention could enhance the impaired glucose tolerance, the increasing FBG, insulin resistance and liver lipids associated with high-fat diet(P<0. 05). CONCLUSION: Early ceftriaxone intervention not only significantly increases the level of abdominal adipose tissue, FBG, insulin resistance and liver lipids, but also enhances glycolipid metabolic disorders induced by high-fat diet. These result suggest that the exposure to antibiotics in the early life might increase the sensitivity of host animal to high fat diet induced abnormal glycolipid metabolism late.

[Alleviation and recovery effects of Lactobacillus on the antibiotic-induced intestinal dysbiosis in early life stages of mice].

OBJECTIVE: To investigate the effects of Lactobacillus on the alleviation and recovery of ceftriaxone-induced intestinal dysbiosis in early life stages of mice, and the possible effect on immunity of the host. METHODS: A total of 48 four-week-old Balb/c male mice were randomly divided into four groups, with 12 in each group. The experiment lasted for four weeks. In the first week, mice were given normal saline, ceftriaxone, ceftriaxone plus Lactobacillus rhamnosus GG, ceftriaxone plus direct vat set pickle(PC) by gavage respectively in the control group(ctrl), ceftriaxone group(ceftri), PC group and LGG group. The PC group and LGG group were given PC and LGG respectively for the last three weeks. The feces were collected once a week, and the profile composition of fecal bacteria were analyzed by next-generation sequencing. The mRNA expression levels of interleukin-6(IL-6), IL-12 and tumor necrosis factor α(TNF-α) in the spleen were analysed using quantitative real-time PCR. RESULTS: In the first week, the simpson index decreased significantly in the ceftri group(P<0. 001), but not in PC and LGG groups. At week four, the observed-species index in the PC group increased significantly(P<0. 001) and the simpson index increased in both LGG group and ceftri group(P<0. 01). As for the flora structure, in the first week, the ctrl group differed from the other three groups significantly(P<0. 05) while no differences were found between the PC group and the LGG group. The firmicutes/bacteroides(F/B) ratio of three ceftriaxone-treated groups increased while the abundance of Akkermansia decreased, particularly in the ceftri group. In the fourth week, the intestinal flora structure were different between four groups(P<0. 05) and the F/B ratio and Akkermansia abundance recovered. Ruminococcaceae, Bacteroidaceae and Tannerellacea appeared in the ceftri group, while Lactobacillus was dominant in the PC group, and Akkermansia was the characteristic species of the LGG group. Weight lost was found in ceftriaxone-treated groups(P<0. 05) and the PC group recovered first. IL-12 and TNF-α mRNA expression of the spleen were lower in PC and LGG groups compared with the ceftri group(P<0. 01). IL-6 mRNA expression level in the LGG group were lower than the ctrl group(P<0. 01). CONCLUSION: The administration of antibiotics in the early life stage might inhibit weight gain, reduce the diversity of intestinal flora, damage functional bacteria and cause long-term inflammation, even though self-recovery ability exist. Lactobacillus might be helpful to alleviate the damage of antibiotics. But no therapeutic effect has been found.

Oscillatory Dynamics of p53-Mdm2 Circuit in Response to DNA Damage Caused by Ionizing Radiation.

Although the dynamical behavior of the p53-Mdm2 loop has been extensively studied, the understanding of the mechanism underlying the regulation of this pathway still remains limited. Herein, we developed an integrated model with five basic components and three ubiquitous time delays for the p53-Mdm2 interaction in response to DNA damage following ionizing radiation (IR). We showed that a sufficient amount of activated ATM level can initiate the p53 oscillations with nearly the same amplitude over a wide range of the ATM level; a proper range of p53 level is also required for generating the oscillations, for too high or too low levels it would fail to generate the oscillations; and increased Mdm2 level leads to decreased amplitude of the p53 oscillation and reduced expression of the p53 activity. Moreover, we found that the negative feedback loop formed between p53 and nuclear Mdm2 plays a dominant role in determining the p53 dynamics, whereas when interaction strength of the negative feedback loop becomes weaker, the positive feedback loop formed between p53 and cytoplasmatic Mdm2 can induce different types of dynamics. Furthermore, we demonstrated that the total time delay required for protein production and nuclear translocation of Mdm2 can induce p53 oscillations even when the p53 level is at a certain stable high steady state or at a certain stable low steady state. In addition, the two important features of the oscillatory dynamics-amplitude and period-can be controlled by such time delay. These results are in agreement with multiple experimental observations and may enrich our understanding of the dynamics of the p53 network.

Antibiotics can cause weight loss by impairing gut microbiota in mice and the potent benefits of lactobacilli.

This study assessed whether antibiotics could alter gut microbiota to affect host growth and the possibility of alleviation by lactobacilli. We divided four-week-old BABL/c mice into control (Ctrl), antibiotic exposure (Abx), Lactobacillus plantarum PC-170 (PC), and Lactobacillus rhamnosus GG (LGG) group and the Abx, LGG, and PC group received an one-week antibiotic/antibiotic + probiotic treatment. The fecal microbiota and the expression of splenic cytokines were determined. Following the ceftriaxone treatment, the body weight gain of Abx was delayed compared with others. The ceftriaxone treatment significantly decreased the alpha-diversity of the fecal microbiota and altered the fecal microbiota but LGG and PC can partly alleviate the effect. At the end of the study, the microbial community of LGG and PC group were more similar to Ctrl compared with Abx group. The results indicated that ceftriaxone could significantly alter intestinal microbiota. Lactobacilli might alleviate the side effects of antibiotics by stabilizing the intestinal microbiota.

Robot Evaluation and Selection with Entropy-Based Combination Weighting and Cloud TODIM Approach.

Nowadays robots have been commonly adopted in various manufacturing industries to improve product quality and productivity. The selection of the best robot to suit a specific production setting is a difficult decision making task for manufacturers because of the increase in complexity and number of robot systems. In this paper, we explore two key issues of robot evaluation and selection: the representation of decision makers' diversified assessments and the determination of the ranking of available robots. Specifically, a decision support model which utilizes cloud model and TODIM (an acronym in Portuguese of interactive and multiple criteria decision making) method is developed for the purpose of handling robot selection problems with hesitant linguistic information. Besides, we use an entropy-based combination weighting technique to estimate the weights of evaluation criteria. Finally, we illustrate the proposed cloud TODIM approach with a robot selection example for an automobile manufacturer, and further validate its effectiveness and benefits via a comparative analysis. The results show that the proposed robot selection model has some unique advantages, which is more realistic and flexible for robot selection under a complex and uncertain environment.

Three axis electronic flight motion simulator real time control system design and implementation.

A three axis electronic flight motion simulator is reported in this paper including the modelling, the controller design as well as the hardware implementation. This flight motion simulator could be used for inertial navigation test and high precision inertial navigation system with good dynamic and static performances. A real time control system is designed, several control system implementation problems were solved including time unification with parallel port interrupt, high speed finding-zero method of rotary inductosyn, zero-crossing management with continuous rotary, etc. Tests were carried out to show the effectiveness of the proposed real time control system.