Machine learning predicts unpredicted deaths with high accuracy following hepatopancreatic surgery

Background:Machine learning to predict morbidity and mortality-especially in a population traditionally considered low risk-has not been previously examined.We sought to characterize the incidence of death among patients with a low estimated morbidity and mortality risk based on the National Surgical Quality Improvement Program(NSQIP)estimated probability(EP),as well as develop a machine learning model to identify individuals at risk for“unpredicted death”(UD)among patients undergoing hepatopancreatic(HP)procedures.Methods:The NSQIP database was used to identify patients who underwent elective HP surgery between 2012-2017.The risk of morbidity and mortality was stratified into three tiers(low,intermediate,or high estimated)using a k-means clustering method with bin sorting.A machine learning classification tree and multivariable regression analyses were used to predict 30-day mortality with a 10-fold cross validation.C statistics were used to compare model performance.Results:Among 63,507 patients who underwent an HP procedure,median patient age was 63(IQR:54-71)years.Patients underwent either pancreatectomy(n=38,209,60.2%)or hepatic resection(n=25,298,39.8%).Patients were stratified into three tiers of predicted morbidity and mortality risk based on the NSQIP EP:low(n=36,923,58.1%),intermediate(n=23,609,37.2%)and high risk(n=2,975,4.7%).Among 36,923 patients with low estimated risk of morbidity and mortality,237 patients(0.6%)experienced a UD.According to the classification tree analysis,age was the most important factor to predict UD(importance 16.9)followed by preoperative albumin level(importance:10.8),disseminated cancer(importance:6.5),preoperative platelet count(importance:6.5),and sex(importance 5.9).Among patients deemed to be low risk,the c-statistic for the machine learning derived prediction model was 0.807 compared with an AUC of only 0.662 for the NSQIP EP.Conclusions:A prognostic model derived using machine learning methodology performed better than the NSQIP EP in predicting 30-day UD among low risk patients undergoing HP surgery.

Quercetin regulates depression-like behavior in CUMS rat models via TLR4/NF-κB signaling

Background:Depression is becoming increasingly prevalent around the world,imposing a substantial burden on individuals,families,as well as society.Quercetin is known to be highly effective in treating depression.However,additional research is needed to dissect the mechanisms of its anti-depressive effects.Methods:For this study,Sprague-Dawley(SD)rats were randomized into the control,model,quercetin,or fluoxetine group.The latter three groups were exposed to chronic unpredictable mild stress(CUMS)for 42 d.The first two groups received saline solution daily via oral gavage.Meanwhile,the quercetin group was orally administered a quercetin suspension(52.08 mg/kg)every day,while the fluoxetine group was orally administered a fluoxetine solution(2.08 mg/kg).Here,fluoxetine served as the positive control drug to compare the therapeutic effects of quercetin.The experimental period was 6 weeks.Depressive behaviors in rats were assessed through various physiological and behavioral measures.Additionally,pathological changes in hippocampal tissues were examined using Nissl staining.Serum cytokines were detected using an enzymelinked immunosorbent assay(ELISA),and immunohistochemistry was employed to quantify the levels and integral optical density(IOD)values of ionized calcium binding adaptor molecule-1(Iba-1)expression in the brain.Real-time fluorescence quantitative PCR(RT-qPCR)was utilized to evaluate the mRNA levels of inflammatory indicators as well as toll-like receptor 4(TLR4),and nuclear factor-κappa B P65(NF-κB P65)in hippocampus.Western blot(WB)technique was employed to observe the protein levels of TLR4,NF-κB P65,and phospho-NF-κB P65(p-NF-κB P65).Results:After 42 d of exposure to CUMS,rats exhibited a slow increase in body weight,a reduction in food intake,an abnormal preference for sugar water,and aberrant open-field behaviors.Pathological analysis revealed the disintegration,rupture,interruption,and disorganization of hippocampal neuronal cells after CUMS exposure,along with a decrease in Nissl bodies in the CA1 region.This was accompanied by the elevated expression of interleukin-1β(IL-1β),tumor necrosis factor-α(TNF-α),and interleukin-6(IL-6)in the serum and the upregulation of IL-1β,IL-6,and TNF-αmRNA expression in the hippocampus.Increases in Iba-1-positive cells and the IOD values of Iba-1 were detected in hippocampal microglia.Furthermore,TLR4 and NF-κB P65 mRNA and protein levels were upregulated in hippocampal tissues.Quercetin,an antidepressant,could alleviate depression-like symptoms in rats and downregulate inflammatory factors associated with the TLR4/NF-κB signaling pathway in hippocampal microglia,and its therapeutic effect was comparable to fluoxetine.Conclusion:In rat models of CUMS,quercetin may act as an antidepressant by inhibiting inflammation in hippocampal microglia via TLR4/NF-κB signaling pathway.These results offer experimental and theoretical support for applying quercetin in the clinical management of depression.

Splenectomy does not affect mouse behaviors

The spleen is critical for immunity.It is the largest immune organ and immune center in the peripheral system.While the relationship between behavior and immunity has been demonstrated in physiology and diseases,the role of the spleen in behavior is not clear.To investigate the effects of the spleen on behaviors,we performed a refined splenectomy procedure on C57BL/6J mice and performed an open field test,circadian rhythm test,elevated plus maze,sucrose preference test,and Barnes maze test.Splenectomy did not induce changes in general locomotion,circadian rhythms,learning and memory,or depression/anxiety-related behaviors.To further investigate the effects of spleen on stress susceptibility,we established mouse models of depression through chronic unpredictable mild stress.The behavioral performances of mice subjected to splenectomy showed no differences from control animals.These findings suggest that splenectomy does not cause changes in baseline behavioral performance in mice.

Detailed analysis and simulation verification for reconstruction of plasma optical boundary with spectrometric technique on HL-2M tokamak

The plasma optical boundary reconstruction technique based on Hommen's theory is promising for future tokamaks with high parameters. In this work, we conduct detailed analysis and simulation verification to estimate the ‘logic loophole' of this technique. The finite-width effect and unpredictable errors reduce the technique's reliability, which leads to this loophole. Based on imaging theory, the photos of a virtual camera are simulated by integrating the assumed luminous intensity of plasma. Based on Hommen's theory, the plasma optical boundary is reconstructed from the photos. Comparing the reconstructed boundary with the one assumed, the logic loophole and its two effects are quantitatively estimated. The finite-width effect is related to the equivalent thickness of the luminous layer, which is generally about 2-4 cm but sometimes larger. The level of unpredictable errors is around 0.65 cm. The technique based on Hommen's theory is generally reliable, but finite-width effect and unpredictable errors have to be taken into consideration in some scenarios. The parameters of HL-2M are applied in this work.

Unpredictability of Digital Twin for Connected Vehicles

Digital twin is an essential enabling technology for 6G connected vehicles.Through highfidelity mobility simulation,digital twin is expected to make accurate prediction about the vehicle trajectory,and then support intelligent applications such as safety monitoring and self-driving for connected vehicles.However,it is observed that even if a digital twin model is perfectly derived,it might still fail to predict the trajectory due to tiny measurement noise or delay in the initial vehicle locations.This paper aims at investigating the sources of unpredictability of digital twin.Take the car-following behaviors in connected vehicles for case study.The theoretical analysis and experimental results indicate that the predictability of digital twin naturally depends on its system complexity.Once a system enters a complex pattern,its longterm states are unpredictable.Furthermore,our study discloses that the complexity is determined,on the one hand,by the intrinsic factors of the target physical system such as the driver’s response sensitivity and delay,and on the other hand,by the crucial parameters of the digital twin system such as the sampling interval and twining latency.

Fluoxetine Ameliorates the Aggravation of UC Symptoms in C57BL/6 Mice Induced by CUMS

Objective Patients with chronic ulcerative colitis(UC)often have mental symptoms such as depression and anxiety,and stress can lead to gastrointestinal diseases.However,the correlation between mental stress and UC is unclear.In this paper,chronic unpredictable mild stress(CUMS)was utilized to evaluate the involvement of mental factors in the pathogenesis of UC.Methods The CUMS model was used to evaluate the direct/indirect involvement of mental factors in the pathogenesis of UC.The behavior was evaluated by the open field,forced swimming,and tail suspension tests.Body weight,the disease activity index(DAI)score,colon length,and HE staining of colon tissue were used to evaluate the action of CUMS and fluoxetine.Results The results showed that weight loss and the DAI score increased in CUMS mice,but they had no meaningful effect on colon length and morphological structure of colon tissue.However,CUMS aggravated dextran sulfate sodium(DSS)-induced colon length shortening and colon morphological structure damage.Fluoxetine significantly improved the DAI score,shortened colon length,and damaged morphology and structure of the colons induced by CUMS combined with DSS in mice.Fluoxetine also decreased the level of IL-6 in the serum and the TNF-αand IFN-γlevels of colon tissue.Fluoxetine simultaneously improved behavioral abnormalities induced by CUMS combined with DSS in mice.Conclusion CUMS aggravated the UC symptoms induced by DSS,and fluoxetine could improve the UC symptoms due to its improvement in the inflammatory level and behavioral abnormalities.

Effects of CUMS combined with CRS on hippocampal glial cells and synaptic plasticity in depressed mice

Objective:To explore the effects of CUMS combined with CRS on mouse hippocampal glial cells and synaptic plasticity-related proteins. Methods: Forty mice were randomly divided into normal group (n=20) and model group (n=20). The model group used CUMS combined with CRS to prepare a mouse model of depression for 7 weeks. The behavioral evaluation of the mice at 3 weeks and 7 weeks after modeling was performed by sugar water preference test, open field test and tail suspension test. After the experiment, the samples were collected, and the content of TNF-a in the hippocampus of mice was detected by enzyme-linked immunosorbent assay. Immunohistochemical method was used to detect the Iba-1 and GFAP MOD values of mouse hippocampal CA1 area, CA3 area and DG area. Western blot was used to detect the protein expression of Iba-1, GFAP, SYN1 and PSD-95 in the hippocampus. fluorescence quantitative PCR method was used to detect the expression of SYN1, PSD-95 mRNA in hippocampus. Results: At the 3rd week after modeling, the body weight, sugar water preference rate, total distance moved, number of standing uprights, and stay time in the central area of the mice in the model group were all lower than those in the normal group (P<0.05), and the tail suspension immobility time was longer than that in the normal group (P<0.01). After 7 weeks of modeling, the body weight, sugar water preference rate, total distance moved, number of erection times, central area residence time, and average movement speed of the mice in the model group were lower than those in the normal group (P< 0.05), the tail suspension immobility time was longer than that in the normal group (P<0.01). The contents of TNF-a in the hippocampus were higher than those in the normal group (P<0.05). The GFAP MOD value and the relative expression of GFAP protein in hippocampal CA1, CA3 and DG regions were significantly lower than those in the normal group (P<0.05). The Iba-1 MOD value and the relative expression of Iba-1 protein in hippocampal CA1, CA3 and DG regions were significantly higher than those in the normal group (P<0.05). The relative expression of SYN1 and PSD-95 protein and the relative expression of SYN1 and PSD-95 mRNA in the hippocampus were significantly lower than those in the normal group (P<0.05). Conclusion: After 3 weeks of CUMS and CRS modeling, the depression-like behavior of mice appeared, and the depression of mice was more obvious after 7 weeks of modeling. The depression mouse model made by CUMS combined with CRS method may be related to increased hippocampal inflammation, excessive activation of microglia, decreased number of astrocytes and decreased synaptic plasticity.

Shuganheweitang Ameliorates Chronic Unpredictable Mild Stress-Induced Depression-Like Behaviors in Rats through the PI3K/AKT/mTOR Pathway: Involvement of Amino Acids, Glycerophospholipids, and Energy Metabolism

Background: Depression is a typical psychosomatic disease. Shuganheweitang (SGHWT) is a clinical formula that effectively treats depression. However, the potential mechanism used by SGHWT to ameliorate depression-like behaviors is still unclear. This study investigated the effects of SGHWT on metabolic change in the liver and hypothalamus with signaling pathways involved in chronic unpredictable mild stress (CUMS)-induced depression in rats to explore the mechanism of the anti-depressive effect. Methods: A total of 52 rats were used to create a model of depression by CUMS combined with solitary rearing for 6 weeks. Open field test (OFT), sucrose preference test (SPT), forced swim test (FST), and body weight (BW) were performed to analyze the pharmacodynamic effects of SGHWT. H&E staining, Nissl staining, immunofluorescence, immunohistochemistry, and western blot were used to evaluate the mechanism of action. Untargeted metabolomics techniques by ultra-performance liquid chromatography-quantitative time-of-flight tandem mass spectrometry (UPLC-Q-TOF-MS/MS) were used to analyze all the metabolic differences in the liver and hypothalamus. Results: SGHWT improved CUMS-induced depression-like behaviors in vivo. SGHWT reduced hepatic c-Fos protein expression and increased hypothalamic c-Fos protein expression. Moreover, p-PI3K, p-AKT473, p-AKT308, and p-mTOR protein expressions were significantly downregulated in the liver and hypothalamus of CUMS rats. Notably, these alterations were reversed by the SGHWT administration. Furthermore, the metabolomic analysis identified 15 and 5 key differential SPT-associated metabolites in the liver and hypothalamus, respectively. Conclusion: This study suggests that SGHWT ameliorates chronic unpredictable mild stress-induced depression-like behaviors, by the involvement of amino acids, glycerophospholipids, energy metabolism, and the PI3K/AKT/mTOR pathway. Highlights: 1) Shuganheweitang was derived from the TCM herbal formula Sinisan. 2) SGHWT treatment reverses depression-like behaviors in CUMS-induced rats. 3) The mechanism of SGHWT on depression by the liver and hypothalamus metabolomics. 4) SGHWT regulates amino acids, glycerophospholipids, and energy metabolism. 5) SGHWT exerts antidepressant effects through the PI3K/AKT/mTOR pathway.

Evolutionary game analysis of problem processing mechanism in new collaboration

This paper analyzes a problem processing mechanism in a new collaboration system between the main manufacturer and the supplier in the"main manufacturer-supplier"mode,which has been widely applied in the collaborative development management of the complex product.This paper adopts the collaboration theory,the evolutionary game theory and numerical simulation to analyze the decision-making mechanism where one upstream supplier and one downstream manufacturer must process an unpredicted problem without any advance contract in common.Results show that both players'decision-makings are in some correlation with the initial state,income impact coefficients,and dealing cost.It is worth noting that only the initial state influences the final decision,while income impact coefficients and dealing cost just influence the decision process.This paper shows reasonable and practical suggestions for the manufacturer and supplier in a new collaboration system for the first time and is dedicated to the managerial implications on reducing risks of processing problems.

Dynamic changes of behaviors, dentate gyrus neurogenesis and hippocampal miR-124 expression in rats with depression induced by chronic unpredictable mild stress

The depression-like behavior phenotype,neurogenesis in the dentate gyrus and miR-124 expression in the hippocampus are the focus of current research on the pathogenesis of depression and antidepressant therapy.The present study aimed to clarify the dynamic changes of depression-like behavior,dentate gyrus neurogenesis and hippocampal miR-124 expression during depression induced by chronic stress to reveal pathological features at different stages of depression and to further provide insight into depression treatment.Chronic unpredictable mild stress depression models were established by exposing Sprague-Dawley rats to various mild stressors,including white noise,thermal swimming,stroboscopic illumination,soiled cages,pairing with three other stressed animals,cold swimming,tail pinch,restraint and water and food deprivation.Chronic unpredictable mild stress model rats underwent dynamic observation from 1 to 8 weeks and were compared with a control group(normal feeding without any stressors).To observe changes in the depression-like behavior phenotype during chronic unpredictable mild stress-induced depression,a sucrose preference test was used to evaluate the degree of anhedonia.An open-field test was used to evaluate locomotor activity and anxiety status.Compared with the control group,chronic unpredictable mild stress rats lost weight but did not have a depression-like behavioral phenotype at 1-4 weeks.Chronic unpredictable mild stress rats presented decreased sucrose preference and locomotor activity at 5-8 weeks.In addition,chronic unpredictable mild stress rats did not have significant anxiety-like behavior during 1-8 weeks of modeling.To observe neurogenesis dysfunctions and changes in neuronal number in the dentate gyrus during chronic unpredictable mild stress-induced depression,markers(DCX and DCX/BrdU)of neural proliferation and differentiation and the neuronal marker NeuN were assessed by immunofluorescence.Compared with the control group,neurogenesis and the neuronal number in the dentate gyrus did not change from 2 to 6 weeks;however,neural proliferation and differentiation in the dentate gyrus decreased,and the number of neurons decreased until the eighth week in the chronic unpredictable mild stress group.Real-time quantitative reverse transcription polymerase chain reaction assays and fluorescence in situ hybridization were used to measure the expression of hippocampal miR-124 during chronic unpredictable mild stress-induced depression.The results showed that the expression of hippocampal miR-124 was unchanged during the first 4 weeks but increased from 5 to 6 weeks and decreased from 7 to 8 weeks compared with the control group.These findings indicate that during chronic unpredictable mild stress-induced depression,the behavioral phenotype,miR-124 expression in the hippocampus,neurogenesis in the dentate gyrus and neuronal numbers showed dynamic changes,which suggested that various pathological changes occur at different stages of depression.All experimental procedures and protocols were approved by the Experimental Animal Ethics Committee of Guangzhou University of Chinese Medicine of China in March 2015.

Overexpression of brain-derived neurotrophic factor in the hippocampus protects against post-stroke depression

Post-stroke depression is associated with reduced expression of brain-derived neurotrophic factor （BDNF）. In this study, we evaluated whether BDNF overexpression affects depression-like behavior in a rat model of post-stroke depression. The middle cerebral artery was occluded to produce a model of focal cerebral ischemia. These rats were then subjected to isolation-housing combined with chronic unpredictable mild stress to generate a model of post-stroke depression. A BDNF gene lentiviral vector was injected into the hippocampus. At 7 days after injection, western blot assay and real-time quantitative PCR revealed that BDNF expression in the hippo- campus was increased in depressive rats injected with BDNF lentivirus compared with depressive rats injected with control vector. Furthermore, sucrose solution consumption was higher, and horizontal and vertical movement scores were increased in the open field test in these rats as well. These findings suggest that BDNF overexpression in the hippocampus of post-stroke depressive rats alleviates depression-like behaviors.

Shuganjieyu capsule increases neurotrophic factor expression in a rat model of depression

Shuganjieyu capsule has been approved for clinical treatment by the State Food and Drug Ad-ministration of China since 2008. In the clinic, Shuganjieyu capsule is often used to treat mild to moderate depression. In the rat model of depression established in this study, Shuganjieyu capsule was administered intragastrically daily before stress. Behavioral results conifrmed that depressive symptoms lessened after treatment with high-dose （150 mg/kg） Shuganjieyu capsule. Immunohistochemistry results showed that high-dose Shuganjieyu capsule signiifcantly increased phosphorylation levels of phosphorylation cyclic adenosine monophosphate response element binding protein and brain-derived neurotrophic factor expression in the medial prefrontal cortex and hippocampal CA3 area. Overall, our results suggest that in rats, Shuganjieyu capsule effec-tively reverses depressive-like behaviors by increasing expression levels of neurotrophic factors in the brain.

L-tyrosine improves neuroendocrine function in a mouse model of chronic stress

Adult BALB/c mice, individually housed, were stimulated with nine different stressors, arranged randomly, for 4 continuous weeks to generate an animal model of chronic stress. In chronically stressed mice, spontaneous locomotor activity was significantly decreased, escape latency in the Morris water maze test was prolonged, serum levels of total thyrotropin and total triiodothyronine were significantly decreased, and dopamine and norepinephrine content in the pallium, hippocampus and hypothalamus were significantly reduced. All of these changes were suppressed, to varying degrees, by L-tyrosine supplementation. These findings indicate that the neuroendocrine network plays an important role in chronic stress, and that L-tyrosine supplementation has therapeutic effects.

Exploration of the mechanism by which icariin modulates hippocampal neurogenesis in a rat model of depression

Icariin(ICA) has a significant capacity to protect against depression and hippocampal injury,but it cannot effectively cross the bloodbrain barrier and accumulate in the brain.Therefore,the mechanism by which ICA protects against hippocampal injury in depression remains unclear.In this study,we performed proteomics analysis of cerebrospinal fluid to investigate the mechanism by which ICA prevents dysfunctional hippocampal neurogenesis in depression.A rat model of depression was established through exposure to chronic unpredictable mild stress for 6 weeks,after which 120 mg/kg ICA was administered subcutaneously every day.The results showed that ICA alleviated depressive symptoms,learning and memory dysfunction,dysfunctional neurogenesis,and neuronal loss in the dentate gyrus of rats with depression.Neural stem cells from rat embryonic hippocampi were cultured in media containing 20% cerebrospinal fluid from each group of rats and then treated with 100 μM corticosterone.The addition of cerebrospinal fluid from rats treated with ICA largely prevented the corticosterone-mediated inhibition of neuronal proliferation and differentiation.Fifty-two differentially expressed proteins regulated by chronic unpredictable mild stress and ICA were identified through proteomics analysis of cerebrospinal fluid.These proteins were mainly involved in the ribosome,PI3 K-Akt signaling,and interleukin-17 signaling pathways.Parallel reaction monitoring mass spectrometry showed that Rps4 x,Rps12,Rps14,Rps19,Hsp90 b1,and Hsp90 aa1 were up-regulated by chronic unpredictable mild stress and down-regulated by ICA.In contrast,Htr A1 was down-regulated by chronic unpredictable mild stress and up-regulated by ICA.These findings suggest that ICA can prevent depression and dysfunctional hippocampal neurogenesis through regulating the expression of certain proteins found in the cerebrospinal fluid.The study was approved by the Experimental Animal Ethics Committee of Guangzhou University of Chinese Medicine of China in March 2017.

Fluoxetine ameliorates depressive symptoms by regulating lncRNA expression in the mouse hippocampus

Depression is a prevalent mental disorder that is associated with aging and contributes to increased mortality and morbidity.The overall prevalence of geriatric depression with clinically significant symptoms is currently on the rise.Recent studies have demonstrated that altered expressions of long non-coding RNAs(lncRNAs)in the brain affect neurodevelopment and manifest modulating functions during the depression.However,most lncRNAs have not yet been studied.Herein,we analyzed the transcriptome of dysregulated lncRNAs to reveal their expressions in a mouse model exhibiting depressive-like behaviors,as well as their corresponding response following antidepressant fluoxetine treatment.A chronic unpredictable mild stress(CUMS)mouse model was applied.A sixweek fluoxetine intervention in CUMS-induced mice attenuated depressive-like behaviors.In addition,differential expression analysis of lncRNAs was performed following RNA-sequencing.A total of 282 lncRNAs(134 up-regulated and 148 down-regulated)were differentially expressed in CUMS-induced mice relative to non-stressed counterparts(P<0.05).Moreover,370 differentially expressed lncRNAs were identified in CUMS-induced mice after fluoxetine intervention.Gene Ontology(GO)analyses showed an association between significantly dysregulated lncRNAs and protein binding,oxygen binding,and transport activity,while the Kyoto Encyclopedia of Genes and Genomes(KEGG)analysis indicated that these dysregulated lncRNAs might be involved in inflammatory response pathways.Fluoxetine effectively ameliorated the symptoms of depression in CUMS-induced mice by regulating the expression of lncRNAs in the hippocampus.The findings herein provide valuable insights into the potential mechanism underlying depression in elderly people.

Optimization of food deprivation and sucrose preference test in SD rat model undergoing chronic unpredictable mild stress

Background:The chronic unpredictable mild stress(CUMS)model has long been considered the best model for exploring the pathophysiological mechanisms underlying depression.However,there are no widely recognised standards for strategies for modeling and for behavioral testing.The present study aimed to optimize the protocols for food deprivation and the sucrose preference test(SPT)for the CUMS model.Methods:We first evaluated the effects of different long periods of food deprivation on the body weight of Sprague Dawley(SD)rats by testing food deprivation for 24 hours(8:00-8:00^+),food deprivation for 12 hours during the daytime(8:00-20:00)and food deprivation for 12 hours at night(20:00-8:00^+).Next,we established a SD rat CUMS model with 15 different stimulations,and used body weight measurement,SPT,forced swim test(FST),open field test(OFT)and Morris water maze(MWM)test to verify the success of the modeling.In the SPT,consumption of sucrose and pure water within 1 and 12 hours was measured.Results:Twelve hours of food deprivation during the daytime(8:00-20:00)had no effect on body weight,while 12 hours of food deprivation at night(20:00-8:00^+)and 24 hours of food deprivation(8:00-8:00^+)significantly reduced the mean body weight of the SD rats.When SPT was used to verify the successful establishment of the CUMS rat model,sucrose consumption measured within 12 hours was less variable than that measured within 1 hour.Conclusions:Twelve hours of food deprivation in the daytime(8:00-20:00)may be considered a mild stimulus for the establishment of a CUMS rat model.Measuring sucrose consumption over 12 hours is recommended for SPT.

Glutamate Transporter 1-mediated Antidepressant-like Effect in a Rat Model of Chronic Unpredictable Stress

In recent years, more attention has been paid to the role of the glutamate transporter 1 （GLT-1, EAAT2） in major depressive disorder （MDD）. However, experimental data on brain GLT-1 levels are, to some extent, inconsistent in human postmortem and animal studies, These discrepancies imply that the role of GLT-1 in the pathophysiology of MDD and the action of antidepressants remain obscure. This work was designed to study the impact of chronic unpredictable stress （CUS） for 2 ses- sions per day for 35 days and four weeks of fluoxetine （FLX） on depressive-like behaviors in rats, as well as the concomitant expression of the GLT-1 protein in the hippocampus. Behavioral changes were assessed by the sucrose preference and open field tests. GLT-1 levels were detected by immunohisto- chemistry and Western blot analysis. Our study demonstrated that the animals exposed to CUS showed depressive-like behaviors and exhibited a significant decrease in GLT-1 expression in the hippocampus. Chronic FLX treatment reversed the behavioral deficits and the CUS-induced decrease in GLT-1 levels. Taken together, our results support the reduction of GLT-1 in human postmortem studies in MDD and suggest that GLT-1 may be involved in the antidepressant activity of FLX. Our studies further support the notion that GLT-1 is an attractive candidate molecule associated with the fundamental processes of MDD and may be a potential, and novel pharmacological target for the treatment of MDD.

High Altitude Frogs (Rana kukonoris) Adopt a Diversified Bethedging Strategy in the Face of Environmental Unpredictability

Environmental unpredictability can influence strategies of maternal investment among eggs within a clutch. Models predict that breeding females should adopt a diversified bet-hedging strategy in unpredictable environments, but empirical field evidence from Asia is scarce. Here we tested this hypothesis by exploring spatial patterns in egg size along an altitudinal gradient in a frog species （Rana kukunoris） inhabiting the Tibetan Plateau. Within-clutch variability in egg size increased as the environment became variable （e.g., lower mean monthly temperature and mean monthly rainfall at higher altitudes）, and populations in environments with more unpredictable rainfall produced eggs that were smaller and more variable in size. We provide support for a diversified bet-hedging strategy in high-altitude environments, which experience dynamic weather patterns and therefore are of unpredictable environmental quality. This strategy may be an adaptive response to lower environmental quality and higher unpredictable environmental variance. Such a strategy should increase the likelihood of breeding success and maximize maternal lifetime fitness by producing offspring that are adapted to current environmental conditions. We speculate that in high-altitude environments prone to physical disturbance, breeding females are unable to consistently produce the optimal egg size due to physiological constraints imposed by environmental conditions （e.g., duration of the active season, food availability）. Species and populations whose breeding strategies are adapted to cope with uncertain environmental conditions by adjusting offspring size and therefore quality show a remarkable degree of ability to cope with future climatic changes.

Comparison between the electrical resistance and the shear strength of brazed cemented carbides

Brazing is a suitable technology to join different materials such as cemented carbides and steel. Even though this technology has been investigated for many years, insufficient joints can occur easily, as the brazing process is very sensitive concerning the handling parameters. Defects such as voids and cracks are hard to detect by commonly used visual inspection methods. Other nondestructive methods such as radiography or ultrasonic testing are usually not economical for the examination of these joints. Studies proved that the electrical resistance has the potential to serve as an effective alternative for the evaluation of brazed joints. In this study, the authors have compared the electrical resistance and the shear strength. For this, cemented carbides were brazed to steel by means of induction heating at an ambient atmosphere. A silver-based filler metal （ BrazeTec 4900 / Ag 449 ） and a flux （ BrazeTec spezial h / FH12） were selected to enable the brazing process. The brazing time and the temperature were varied in order to produce different joint qualities. After brazing, the resistance was measured on each joint with the 4-point probe method to facilitate a high accuracy. The results underline the possibility to use electrical resistance measurements as an effective tool for a quality control of brazed joints.

Imagination in Entrepreneurship: An Inspiration from Heidegger

Bloom’s taxonomy is widely used in educational research to categorize the cognitive skills required to answer exam questions.For this study,we analyzed how students categorize exam questions(high-level question or low-level question,)gathered data as to their rationale for categorization,and compared their categorizations to those of experts.We found that students consistently rank high-level questions incorrectly.We analyzed student reasons for their categorizations,and found that for many of the incorrectly categorized questions the students referred to reasons related to Cognitive Load Theory.This shows that cognitive load prevents students from accurately assessing the cognitive level of an exam question.Thus,extra cognitive load in exam questions may prevent those questions from accurately measuring the skills and knowledge of the student.This points to the need for instructors to eliminate cognitive load from their exams.