The 4 VO model were chosen

because it is the most used mo

The 4 VO model were chosen

because it is the most used model that resembles a human cardiac arrest where the blood supply in the brain is almost depleted. The outcomes are neurological damage, loss of memory, convulsions and coma. During clamping, the animals were awake and spontaneously ventilating. During both surgeries, rectal temperature was monitored and maintained at 36.5–37.5 °C with a rectal thermistor and heat lamp until recovery from anesthesia. Sham operated animals were subjected to the same anesthesia and surgical procedures as animals subjected to global ischemia, except the carotid arteries were not occluded (Netto et al., 1993). Animals that failed to show complete loss of the righting reflex and pupillary dilatation (from 2 min after occlusion has initiated until the end of occlusion); BAY 73-4506 molecular weight animals that exhibited obvious behavioral manifestations (abnormal vocalization when handled, convulsions, hyperactivity etc.) were excluded from the experiment; and

animals with loss of greater than 20% of body weight by 3–7 day after ischemia. There were 5 deaths due to respiratory arrest; 11 other rats were excluded from the study because they failed to show neurological signs of ischemia (no loss of consciousness or incomplete dilation of the pupils during occlusion). One hour before ischemia or 0 h, 3 h, 6 h or 24 h after ischemia animals received intracerebroventricular mTOR inhibitor (icv) injections into the right lateral ventricle of 20 μg of coumestrol (Sigma) (diluted in 100% dimethylsufoxide) (DMSO; Sigma), 20 μg Venetoclax datasheet of 17 β-estradiol (diluted in 0.9% saline solution containing 10% DMSO) or 50 μg of ICI

182,780 (Sigma), in a volume of 2 μl. Control animals were infused with vehicle (100% DMSO). The dose of 20 μg was chosen based on previous studies with estrogen-like compounds (Azcoitia et al., 1999;Picazo et al., 2003; Callier et al., 2001, Bryant et al., 2005 and Toung et al., 2000) with similar proprieties and actions in the central nervous system. Animals also received icv infusion of the broad-spectrum antagonist ICI 182,780 or vehicle into the lateral ventricle. The administration of 50 μg was done 10 min prior to the other drugs administration. For the peripheral administration, a dose of 20 μg/kg of coumestrol was injected intracardiaclly one hour before the ischemic insult. Coumestrol was diluted in 100% dimethylsufoxide (DMSO; sigma) in a volume of 300 μl. In the first experiment, rats were positioned in a stereotaxic apparatus and icv injections performed under halothane anesthesia either 1 h before ischemia or 0 h, 3 h, 6 h or 24 h after ischemia, The position of the right lateral ventricle was calculated based on the position of bregma: 0.92 mm posterior to bregma, 1.2 mm lateral to bregma, 3.

67 × 1012 m2, cp equal to 4200 J(kg °C)− 1, and calculating the l

67 × 1012 m2, cp equal to 4200 J(kg °C)− 1, and calculating the long-term mean in- and outflows and associated temperatures from the model (Qin, Tin, Qout, Tout = 1.16 × 106 m3 s− 1, 18.1 °C, 1.14 × 106 m3 s− 1 15.32 ° C), we obtain an average Floss of 9 W m− 2; this is in accordance with the value presented in Table 2 and indicates that the net heat loss at the surface was compensated for by the heat transported through the Sicily Channel. Finally, to evaluate the modelling approach, the heat and salt contents of the whole EMB water column changes were simulated using the PROBEEMB model and compared

with observations from the MEDAR ocean database (Figure 16). The comparison indicates a close correlation, with the calculated total heat content deviating approximately 1% from the MEDAR value. For the salt SB431542 research buy content, the modelled value deviates by less than 0.3% from the MEDAR value. The PROBE-EMB can realistically reproduce the water and heat balances of the EMB. The connection between atmospheric conditions over the Mediterranean Basin and the large-scale atmospheric circulation in the Northern Hemisphere is generally strong, for example, as represented by the North Atlantic Oscillation (NAO). There is a

significant link (R = 0.45, n = 52) between winter precipitation over the EMB and the NAO (data not shown www.selleckchem.com/products/Adrucil(Fluorouracil).html but available from the National Oceanic and Atmospheric Administration – NOAA – database). Moreover, there is a link (R = 0.3, n = 52) between winter NAO and winter evaporation. Wet (dry) winters are associated with positive (negative) NAO index values. On the other hand, negative (positive) NAO index

values are associated with increased (decreased) evaporation rates in the winter. Changes in the NAO index greatly affect the winter water and heat balances of the EMB, which is in agreement with, for example, the results of Turkes, 1996a and Turkes, Cyclooxygenase (COX) 1996b. The study analyses the large-scale features of the EMB using ocean modelling and available meteorological and hydrological datasets. Local features (e.g., the Eastern Mediterranean Transient, EMT) are therefore not included. It is a budget-type method building on horizontal averaging, i.e. strong local forcing might trigger convections that reach the bottom, while the same forcing averaged over the whole basin may have a minor influence. In the future, we will model the EMB as a number of sub-basins and also address local EMB features that may influence the water and heat balances. For example, the Southern Aegean Basin is significantly affected by deep water formation and needs to be considered when modelling deep water formation. The individual terms of the water and heat balances were analysed together with how the climate change signals affect the heat and water cycles. Individual water and heat component values are presented in figures and tables.

001 m But unlike sea ice, water roughness varies strongly with t

001 m. But unlike sea ice, water roughness varies strongly with the wind speed; therefore, the Charnock formula z0 = α0u2/g is used, where α0 = 0.0123, u is the

wind speed and g is the acceleration due to gravity. As in the surface albedo scheme, when COSMO-CLM is coupled to NEMO, the grid-cell roughness length is the weighted average of sea icecovered and water-covered areas. We used the NEMO ocean model version 3.3 adapted to the North and Baltic Sea region. This model setup is described by Hordoir et al. (2013) in a technical report in 2013. The horizontal resolution is 2 minutes (about 3 km), Cobimetinib ic50 and the time step is 300 seconds. There are 56 depth levels of the ocean. The flux correction for the ocean surface was not applied in our experiments. The domain covers the Baltic Sea and a part of the North Sea with two open boundaries to the Atlantic Ocean; the western boundary lies in the English Channel and the northern boundary is the cross section between Scotland and Norway. 5-FU mouse The model domain of NEMO can be seen on Figure 6 (see p. 183). For the Baltic Sea, the fresh water inflow from the river basins plays a crucial role in the salinity budget. Meier & Kauker (2003) found that the accumulated fresh water inflow caused half of the decadal variability in the Baltic salinity. It is, therefore, very important to take the rivers into consideration when modelling Baltic Sea

salinity. In this paper, we use the daily time series from E-HYPE model outputs for the North and Baltic Seas (Lindström et al. 2010). The input for the E-HYPE model is the result from the atmospheric model RCA3 (Samuelsson et al. 2011) forced by ERA-Interim re-analysis data from the European Centre for Medium-Range Weather Forecasts (ECMWF) Farnesyltransferase (Dee et al. 2011). The atmospheric and ocean models are coupled by the coupler OASIS3. The results from Meier & Kauker (2003) show that half the variability of salinity in the Baltic Sea is caused by fresh water inflow and the other half is related to the exchange of sea water between the North

and Baltic Seas through the Kattegat. This water exchange process is determined by the wind stress and the sea level pressure difference between the two seas. Therefore, when coupling the atmosphere to the ocean, we send the wind fluxes and the sea level pressure from COSMO-CLM to NEMO to get an appropriate inflow of water from the North Sea to the Baltic Sea. On the atmospheric side, the exchanged fields are the flux densities of water (Precipitation-Evaporation), momentum, solar radiation, non-solar energy and sea level pressure. On the ocean side, we send SST and the fraction of sea ice to COSMOCLM. This exchange process is done every 3 hours. The fields are gathered by OASIS3 and then interpolated to the other model’s grid. Apart from the coupled ocean area, COSMO-CLM takes the lower boundary from ERAInterim data for other sea surface areas.

Two-sided P values are reported and, in general, values < 05 were

Two-sided P values are reported and, in general, values <.05 were considered statistically significant. An effort to control for multiple comparisons was made during the planning stage by using well-established biomarkers whose classification is supported by the literature. 2 and 20 Analyses were performed using SAS version 9.3 (SAS Institute Inc, Cary, NC) and R version 2.14. 32 Data collection and statistical analyses were conducted by the Alliance Statistics and Data Center. Among the 2720 cases BIRB 796 nmr with complete

data on all tumor markers, tumors were classified into 3 pMMR subtypes that included tumors with mutations in either BRAFV600E (n = 189; 6.9%) or KRAS (n = 945; 34.7%), and those lacking a mutation in these genes (n = 1331; 48.9%) ( Table 1; Figure 1A). LBH589 in vitro Of note, mutations in BRAFV600E and KRAS were mutually exclusive. The 2 dMMR subtypes included sporadic (n = 184; 6.8%) tumors with BRAFV600E mutations or MLH1 hypermethylation, and familial (n = 71; 2.6%) cancers that lacked BRAFV600E mutations and had unmethylated MLH1, which is consistent with LS ( Table 1; Figure 1A).

Among pMMR subtypes, patients with BRAFV600E mutated tumors were oldest (median age, 63 years), were most likely to be women (58.7%), and had the highest rates of proximal site (75.7%), T4 stage (15.9%), high-grade histology (44.4%), and N2 stage (59.3%) ( Table 1). MMR-proficient tumors of the mutant KRAS subtype were more commonly located in the proximal colon (58.1% vs 33.2%) compared with tumors lacking mutations in BRAFV600E or KRAS ( Table 1). Within the most prevalent subtype of pMMR tumors lacking mutations in either BRAFV600E or KRAS, there

were more men than women compared with Megestrol Acetate the other subtypes, except for familial dMMR patients (P ≤ .002), and 66.8% of tumors were located in the distal colon ( Table 1). Patients with sporadic dMMR tumors had the oldest median age (66 years) at randomization among all subytpes, were most likely from women (69.0%), had highest rate of high-grade histology (54.3%), and nearly all (95.1%) were located in the proximal colon ( Table 1). The familial subtype of dMMR tumors was associated with younger age, male sex, high-grade histology, and proximal site, which are features of LS-associated colon cancers 33 ( Table 1). Among colon cancers with loss of MLH1 protein expression, 80% had BRAFV600E mutations and the remaining cases had nonmutated BRAF with promoter hypermethylation of MLH1. The distributions of the 5 subtypes in relation to tumor subsite location (ie, cecum, ascending colon hepatic flexure, transverse colon, splenic flexure, descending colon, and sigmoid colon) were examined (Table 1). A majority of pMMR tumors with BRAFV600E mutations were located in the proximal colon (75.7%), with approximately half (51.1%) found in the cecum plus ascending colon. Nearly half (46.

It appears high time to analyze the enzymology of flavour formati

It appears high time to analyze the enzymology of flavour formation in more depth in flavour formers. Prototypic work on heterofermentative Leuconostoc and Lactobacillus strains dealt with esterase and aminotransferase activities [6]. A genome-wide model of carbon and nitrogen flow in L. lactis coupled with the pathways resulting in flavour formation showed that a more systematic, pathway based approach is now possible, at least with fully sequenced prokaryotics [7]. Two applications of the newly gained metabolic knowledge can be envisaged: Deliberately shifted

flavour profiles of the classical products of the dairy industry, or a concerted over-production of a sought-after flavour chemicals. Similar work is going on with the more complex yeasts, particularly Saccharomyces. However, even with Obeticholic Acid ic50 state-of-the-art molecular biology tools for strain differentiation, micro-vinification experiments were required to correlate genetics with oenological Selleckchem Caspase inhibitor traits [8]. The food industry inevitably produces huge volumes of side-streams, such as pomace, peels and husks which still contain flavour precursors. To consume a portion of a side-stream as a fermentation substrate and to produce a high-value flavour at the same time means to kill two birds with one stone. Along this current trend, a Brazilian

patent application described the conversion of cassava and malt bagasse to the fruity smelling volatile ethyl hexanoate by Neurospora sitophila [9]. Cassava wastewater served as the substrate to evaluate the production of 2-phenylethanol by Geotrichum fragrans, Kluyveromyces marxianus Tolmetin and Saccharomyces cerevisiae through the Ehrlich pathway [10]. Likewise, higher fungi, such as Tyromyces chioneus, were grown on apple pomace, and potent odorants, such as 3-phenylpropanal, 3-phenyl-1-propanol, cinnamaldehyde and methyl cinnamate were identified. The resulting flavour mixtures showed pleasant fruity, flowery and cinnamon-like sensorial attributes suitable to flavour a new non-alcoholic fermented beverage [11••]. The

food industry is currently re-considering the traditional routes of flavour formation to create new opportunities using clean technologies 12 and 13. Particularly higher fungi possess large genomes and suggest themselves as suitable catalysts to generate a multitude of plant-like flavour compounds, as they are appreciated by the consumers ( Figure 1). Among the well amenable biotech-derived flavours are phenylpropanoids, esters and lactones, and terpenoids. Not only phenylpropanoids, but also some of their catabolic derivatives, such as anethole, isoeugenol, and isosafrole were found [14]. Isosafrole is itself precursor to piperonal, a constituent of composed vanilla flavours. Esters, such as 2-phenylethyl acetate, impart fruity notes to yeast cultures. The reaction using lipophilic Yarrowia yeast was optimized, and the cell wall specifically permeabilized [15].

A long thin plastic bag (95 cm length, 15 cm width, 7 mm thick),

A long thin plastic bag (95 cm length, 15 cm width, 7 mm thick), filled with 3:1 weight/weight calcium titanate in deionized water was placed directly on top of the RF coil array below the subject’s spine. This material has a dielectric constant of ∼110 and has been shown to increase the B1 homogeneity at high-fields [21]. A variety of imaging protocols were explored in terms of this website sensitivity to motion artifacts, signal-to-noise efficiency per unit time, image contrast and SAR. The final sequence used is a multiple slice two-dimensional gradient echo sequence, acquired in the sagittal orientation (as are most clinical scans at lower field), without respiratory triggering:

TR/TE 15/2 ms (partial echo acquisition), field-of-view 450 × 240 mm, data matrix 600 × 320, in-plane resolution 0.75 × 0.75 mm, 3 mm slice thickness, 0.3 mm interslice gap, eight signal averages, seven slices, total data acquisition time ∼4 min. Eight signal averages were acquired primarily to limit motion artifacts from cardiac motion since the effective use of saturation bands causes a substantial SAR penalty. Since the coverage (left/right) through the spinal column might not be

sufficient for some applications, we have also performed imaging with 14-slices, Rucaparib total coverage 6 cm, with four signal averages and the same total data acquisition time. Data acquisition parameters were chosen to remain within the International Electrotechnical Committee

(IEC) guidelines on peak and time-averaged SAR. Due to SAR limitations, sequences that can currently be used are limited to gradient echoes. For imaging the cervical/upper thoracic spine, the top six elements of the receive array are used, and for the lower thoracic/lumbar spine the bottom four elements. Images are stitched together by simple estimation of the appropriate overlap with no further image processing. Signal-to-noise CHIR-99021 clinical trial measurements were performed on the magnitude images, by the standard procedure of dividing the mean signal intensity within a defined region-of-interest by the standard deviation of the noise. For measurements within CSF, the vertebral disk and the inter-vertebral space, five different regions of interest were taken. Five different noise regions were selected, taking care to avoid any areas in which the noise is artificially reduced (due to the Philips software) or in which motion-induced artifacts are present. A noise correlation matrix was measured as described in Roemer et al. [19] with a volunteer in place, and processed in MATLAB (The Mathworks, Natick, MA). For the electromagnetic simulations, the bore of the magnet is modeled as a conductive RF copper shield. Each RF coil is capacitively split to produce a resonant frequency at 298.1 MHz. As shown in Fig. 2, three different positions of the RF coil were modeled, corresponding to imaging the upper cervical, mid-thorassic, and lower lumbar spinal column.

One interview included a particularly

forceful expression

One interview included a particularly

forceful expression of a stand in favor of the patient’s equality: “The doctor should not be mystical. He should consider the patient as an equal partner—as intelligent as himself—and give the patient a chance to help the doctor by trying to figure out problems together. The patient should have the freedom and the chance to say what he thinks about a certain therapeutic approach.” Interestingly, among several types of innovating behavior examined, acceptance of a more equal doctor–patient relationship was the only behavior associated with greater general satisfaction with Alisertib research buy modern developments in medical practice by the participating doctors. By 1982, a more equal doctor–patient relationship had moved to being a primary research target (i.e. dependent variable of interest). A US Presidential Commission on medical decision-making ethics recommended shared decision making as the “appropriate ideal for patient–professional relationships that

a sound doctrine of informed consent should support” [19]. The Commission’s survey revealed that 56% of physicians and 64% of the public felt that increasing the involvement of patients would improve the quality of care, with physicians citing compliance and cooperativeness Talazoparib cell line as the main reasons. Embedded in

a shift toward patient involvement and advocacy, shared decision making is increasingly prevalent in health literature [20]. In light of the current trend in patient-centered care and the potential systemic advantages exposed by current shared decision making research, more and more countries are deciding to orient their policy decisions around the patient [4]. The history, relevance and general tendency of patient-centered care and shared decision making clearly demonstrate that shared decision making is not a passing fad, and will play an increasingly important role in the way we think about our health and our relationship with care. The myth that the patient is left alone to make the treatment decision is not Tacrolimus (FK506) supported by the extensive systematic reviews on models of shared decision making and contradicts its core elements [9] and [10]. Shared decision making is an interpersonal, interdependent process in which the health care provider and the patient relate to and influence each other as they collaborate in making decisions about the patient’s health care [21]. The idea of balance and respect between the two partners is fundamental to shared decision making and one of its main purposes is to take advantage of both parties’ expertise [22] and [23]. The degree to which the decision is shared (i.e.

, 2011) Marine environmental monitoring is highly ‘station orien

, 2011). Marine environmental monitoring is highly ‘station oriented’ (focused on a few permanent/regular sampling sites) and usually limited to observations of specific groups of organisms (e.g. benthic macroinvertebrates, phytoplankton, or fish) with little consistency in observation methods across ecosystems (De Jonge et al., 2006 and Elliott, 2011). As a consequence, policy decisions are often based on limited and/or biased data, which may significantly constrain policy development. In particular, traditional methods for species identification have a number of shortfalls, listed in Table 2. Many inventories used in monitoring are difficult to

compare and are often of low and/or unverifiable taxonomic precision.

In addition, the targeting of selected taxa means that the relevance of these data to other groups (e.g. planktonic, meiofaunal, microorganisms), other life stages (e.g. larvae), Enzalutamide in vitro and to ecological processes in general, is not always clear. Ideally, an informed choice of what to monitor would be based on studies that include all taxa (including animals, plants, fungi, protists and bacteria) PD0325901 solubility dmso and life stages. In particular, microbial community interactions and their metabolic pathways are emerging as essential components of any comprehensive estimate of ecosystem function. Currently, there are no genomic methods implemented for the assessment of MSFD indicators, and few genetic methods are considered for contribution to the MSFD. Yet, some of the indicators of biodiversity (e.g. species distribution, population genetic structure; see Table 1 for a comprehensive list) could benefit from DNA-based techniques. All molecular approaches that could improve monitoring programs are informed by the increasing knowledge of the variation found among whole genomes within and between species across the tree of life. The emerging science of ‘biodiversity genomics’ addresses this issue, and aminophylline was a major theme in a recent Genomic Observatories

Network (http://genomicobservatories.org/) meeting (Davies et al., in press). Examples of the application of this knowledge includes DNA-based tools for the identification of species, and the ratio between alien and native species in samples, providing useful information for the non-indigenous species descriptor in the MSFD. The accuracy and comprehensiveness of other indicators, related to human-induced eutrophication and seafloor integrity descriptors, might also be assisted by the use of genomic tools (see Table 3). New tools based on genomic methods could be used to address the bottlenecks in assessing marine health, and can therefore be applied to improve current practices; see examples from case-studies world-wide in Table 3. DNA barcoding consists in assigning a specimen or sample (e.g.

We developed a CSIL population using the cotton genetic standard

We developed a CSIL population using the cotton genetic standard G. hirsutum cv. TM-1 as the recipient parent and the long-staple cotton G. barbadense cv. Hai 7124 as the selleck products donor parent, and employed our 330 simple sequence repeat (SSR) anchored markers for molecular marker-assisted selection (MAS) in the BC5S1–4 and BC4S1–3 generations. The CSIL population comprised 174 lines containing 298 introgressed segments, of which 86 lines (49.4%) contained a single introgressed segment. The introgressed segments covered a total length of 2948.7 cM (with an average length

of 16.7 cM), representing 83.3% of the cotton genome [18]. In the present study, we used these CSILs to identity QTL affecting resistance to Verticillium Natural Product Library solubility dmso wilt. Our major objectives were to conduct genome wide

screening of chromosome regions containing resistance gene(s), identify the genetic mechanisms of tetraploid cotton resistance to Verticillium wilt, and find markers linked to QTL conferring resistance to multiple V. dahliae isolates during the seedling stage in order to facilitate improved cotton breeding programs. G. hirsutum cv. TM-1, the genetic standard upland cotton, was obtained from the Southern Plains Agricultural Research Center, USDA-ARS, College Station, Texas, U.S.A. [19]. G. barbadense cv. Hai 7124, grown extensively in China, is the offspring of an individual plant selected during earlier studies of inherited resistance to V. dahliae in our laboratory [20] and [21]. G. hirsutum cv. Junmian 1 is distributed widely in Xinjiang municipality and is highly sensitive to Verticillium wilt, and was selected as a control. One set of CSILs was developed using MAS in the genetic standard G. hirsutum cv. TM-1 background (the recipient parent) and the G. barbadense cv. Hai 7124 (the donor parent) which is resistant to Verticillium wilt. Two defoliating V. dahliae isolates found commonly in the Yangtze River cotton-growing region of China, V991 and V07DF2, were selected to represent isolates with strong and extrastrong Oxymatrine virulence. The defoliating isolate

D8092, from the Yellow River cotton-growing region, was selected to represent isolates of intermediate virulence. V. dahliae isolates were grown on potato dextrose agar plates at 25 °C for 10–14 d. Inocula for experiments were prepared by spreading a conidial suspension on agar plates that were then incubated at 25 °C for 6–7 d. Conidia were then collected and diluted to 1 × 107 cells mL− 1. The 166 CSILs were grown in paper cups of 7.3 × 5.1 × 8.3 cm in the greenhouse at Nanjing Agriculture University (Nanjing, China) from 2009 to 2011. These CSILs were planted in a randomized block design with two replicates. V. dahliae V991 (in 2009), V07DF2 (in 2010) and D8092 (in 2011) were used to inoculate CSIL individuals (after the emergence of two true leaves) by watering with 15 mL of conidial suspension.

Each training session started with a 5-min

warm-up at 8 m

Each training session started with a 5-min

warm-up at 8 m/min, followed by a bout of 25 min of running at a speed of 12 m/min (first week), 14 m/min (second week), 16 m/min (third week) and 18 m/min (fourth week). Twenty-four hours after the last exercise session, the animals from the SSD and ExSD groups were sleep-deprived for 96 h using the modified multiple platform method (Suchecki and Tufik, 2000), while the other groups remained in their home cages in the same room where the SD procedures took place. The rats were placed in a water tank (123 cm×44 cm×44 cm) containing circular platforms (6.5 cm diameter). The water level remained at approximately 2 cm below the surface of the platforms, and the number of platforms always exceeded Neratinib the number of animals, allowing the rats to move around freely inside the tank by jumping from one platform to another. During the paradoxical SD period, the rats had free access to water bottles and food pellet baskets located on a grid on top of the tank. This method

relies on the muscle atonia that accompanies paradoxical sleep. Therefore, when the animals on the platforms VE-821 supplier reached this sleep stage, they lost muscle tone, touched or fell into the surrounding water, and then awakened. Before the onset of the SD period, the animals were habituated to the method for two days (1 h/day) to avoid unnecessary drops in the water. This method completely abolishes paradoxical sleep and also decreases slow wave sleep by approximately

35% (Machado et al., 2004). Immediately after the paradoxical sleep deprivation period, the animals (n=8 for each group) were gently dried and subjected to the IA. The IA apparatus consisted of two acrylic boxes, each measuring (21×26×27.5 cm3), connected by a sliding door. A box with white acrylic walls was designated as the safe compartment, whereas the Cell press other black acrylic box was the aversive compartment. The floor of the apparatus was made of parallel metallic rods (0.4 cm diameter), which were separated by a distance of 1.2 cm, and connected to an electric shock generator. During the task training, each animal was placed in the safe compartment with the sliding door closed. Ten seconds later, the door was opened. As soon as the animal crossed to the aversive compartment with its four paws, the door was closed, the latency to enter was recorded, and the animal received five footshocks (0.8 mA/1 s) separated by 15 s ( Esumi et al., 2011). After the shocks, the animal was removed from the apparatus and returned to the home cage. In the test phase, 24 h later, each animal was first placed in the safe compartment of the apparatus, and the sliding door was opened 10 s later. The latency to cross to the aversive compartment was recorded. Each animal was allowed 540 s to cross to the aversive compartment.