To send content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about sending content to .
To send content items to your Kindle, first ensure firstname.lastname@example.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about sending to your Kindle.
Note you can select to send to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
The main aim of the current study was to present the abilities of widely used crop models to simulate four different field crops (winter wheat, spring barley, silage maize and winter oilseed rape). The 13 models were tested under Central European conditions represented by three locations in the Czech Republic, selected using temperature and precipitation gradients for the target crops in this region. Based on observed crop phenology and yield from 1991 to 2010, performances of individual models and their ensemble were analyzed. Modelling of anthesis and maturity was generally best simulated by the ensemble median (EnsMED) compared to the ensemble mean and individual models. The yield was better simulated by the best models than estimated by an ensemble. Higher accuracy was achieved for spring crops, with the best results for silage maize, while the lowest accuracy was for winter oilseed rape according to the index of agreement (IA). Based on EnsMED, the root mean square errors (RMSEs) for yield was 1365 kg/ha for winter wheat, 1105 kg/ha for spring barley, 1861 kg/ha for silage maize and 969 kg/ha for winter oilseed rape. The AQUACROP and EPIC models performed best in terms of spread around the line of best fit (RMSE, IA). In some cases, the individual models failed. For crop rotation simulations, only models with reasonable accuracy (i.e. without failures) across all included crops within the target environment should be selected. Application crop models ensemble is one way to increase the accuracy of predictions, but lower variability of ensemble outputs was confirmed.
The aim of this study is to test the psychometric properties of the Spanish validation of the Fear of COVID-19 Scale (FCV-19S) in a Paraguayan population.
Participants were recruited through an Internet-based survey. All participants whose scores in the Hospital Anxiety and Depression Scale (HADS) and The Fear Questionnaire (FQ) were greater than zero were included. 1245 subjects responded voluntarily: 1077 subjects, scoring >0, were considered.
To establish construct validity of the FCV-19S, an exploratory factor analysis was performed using the KMO test, which was adequate, and the Bartlett sphericity test, which was significant (p <.0001). The CFI, NFI, GFI, TLI and RMSEA indices were used to evaluate the model and showed good adjustment. Cronbach’s α showed valid internal consistency (α = 0.86). This validation was supported by significant correlation (p <.001) with the HADS scale for anxiety and depression and with the FQ scale for specific phobia.
The Spanish version of the FCV-19S is a 7-item scale with two dimensions, psychological symptoms and physiological symptoms, which demonstrated robust psychometric properties in a Paraguayan population.
Lungworms can exert a negative impact on wild ruminant fitness; for this reason, the diagnosis of the associated diseases is an important prevention measure. The Baerman–Wetzel technique is the most usual method for the diagnosis of bronchopulmonary nematodes and is based on the active migration and movement of their first-stage larvae. Pulmonary tissue samples are frequently used for the post-mortem diagnosis of these parasites, but this kind of sample is not always available and easy to obtain. Faecal samples represent a more accessible choice for parasite monitoring. This work aimed to evaluate the agreement between the results obtained by the Baermann–Wetzel technique when samples of lung parenchyma or faeces from wild ruminants are used. A good level of agreement as well as a similar sensitivity between the two types of sample were observed, validating the use of faecal samples as a less invasive and cost-effective alternative for the monitoring of lungworm in wild ruminant populations.
Since the discovery of Perkinsus marinus as the cause of dermo disease in Crassostrea virginica, salinity and temperature have been identified as the main environmental drivers of parasite prevalence. However, little is known about how these variables affect the movement of the parasite from host to water column. In order to elucidate how environmental factors can influence the abundance of this parasite in the water column, we conducted a series of experiments testing the effects of time of day, temperature and salinity on the release of P. marinus cells from infected oysters. We found that P. marinus cells were released on a diurnal cycle, with most cells released during the hottest and brightest period of the day (12:00–18:00). Temperature also had a strong and immediate effect on the number of cells released, but salinity did not, only influencing the intensity of infection over the course of several months. Taken together, our results demonstrate that (1) the number of parasites in the water column fluctuates according to a diurnal cycle, (2) temperature and salinity act on different timescales to influence parasite abundance, and (3) live infected oysters may substantially contribute to the abundance of transmissive parasites in the water column under particular environmental conditions.
Self-assembly, a process in which molecules, polymers, and particles are driven by local interactions to organize into patterns and functional structures, is being exploited in advancing silicon electronics and in emerging, unconventional electronics. Silicon electronics has relied on lithographic patterning of polymer resists at progressively smaller lengths to scale down device dimensions. Yet, this has become increasingly difficult and costly. Assembly of block copolymers and colloidal nanoparticles allows resolution enhancement and the definition of essential shapes to pattern circuits and memory devices. As we look to a future in which electronics are integrated at large numbers and in new forms for the Internet of Things and wearable and implantable technologies, we also explore a broader material set. Semiconductor nanoparticles and biomolecules are prized for their size-, shape-, and composition-dependent properties and for their solution-based assembly and integration into devices that are enabling unconventional manufacturing and new device functions.
Impairments in social cognition contribute significantly to disability in schizophrenia patients (SzP). Perception of facial expressions is critical for social cognition. Intact perception requires an individual to visually scan a complex dynamic social scene for transiently moving facial expressions that may be relevant for understanding the scene. The relationship of visual scanning for these facial expressions and social cognition remains unknown.
In 39 SzP and 27 healthy controls (HC), we used eye-tracking to examine the relationship between performance on The Awareness of Social Inference Test (TASIT), which tests social cognition using naturalistic video clips of social situations, and visual scanning, measuring each individual's relative to the mean of HC. We then examined the relationship of visual scanning to the specific visual features (motion, contrast, luminance, faces) within the video clips.
TASIT performance was significantly impaired in SzP for trials involving sarcasm (p < 10−5). Visual scanning was significantly more variable in SzP than HC (p < 10−6), and predicted TASIT performance in HC (p = 0.02) but not SzP (p = 0.91), differing significantly between groups (p = 0.04). During the visual scanning, SzP were less likely to be viewing faces (p = 0.0001) and less likely to saccade to facial motion in peripheral vision (p = 0.008).
SzP show highly significant deficits in the use of visual scanning of naturalistic social scenes to inform social cognition. Alterations in visual scanning patterns may originate from impaired processing of facial motion within peripheral vision. Overall, these results highlight the utility of naturalistic stimuli in the study of social cognition deficits in schizophrenia.
Functional magnetic resonance imaging (fMRI) is a neuroimaging technique increasingly used for both patient care and clinical research. This techniche provides a space-time high-resolution able to detect small changes in regional brain activation.Ojbectives: the aim of this study was to compare patterns of regional brain activation in patients with eating disorders (ED) and healthy volunteers during emotional stimulation.
Materials and methods
A group of 13 young female ED outpatients was selected using DSM-IV criteria and 13 young healthy female volunteers with no significant differences in sociodemographic or environmental data. fMRI was used to examine the neural responses after visual stimulation with neutral and fearful images, taken from the IAPS (International Affective Picture System) and selected a region of interest (ROI) aproach to examine the function of the amygdala in emotional processing.Data processing and higher level analysis were carried out using FSL (fMRI's Software Library).
ED patients showed significantly greater rigth amygdala activation to the fearful images versus neutral images than healthy control subjects (p < 0.02)
A higher right amygdala response to processing of fearful stimuli was observed in ED patients compared to healthy volunteers. This emotional dysregulation in the affective response to unpleasant stimuli would correlate with a maladaptative response and therefore justify disruptive behaviours in this patients.
Mixed Bipolar patients are those who have co-existing depressive symptoms during mania. These patients are supposed to have a worse evolution.
The objective of this study was to compare the long-term outcomes of patients who had at least one mixed episode with those who experienced only pure manic episodes.
169 outpatients diagnosed of Bipolar I disorder and treated at least during two years were included. 120 patients (71%) complited the follow-up over 10 years. Baseline demographic and clinical variables were included.
The patients with mixed episodes (37%) had a significantly younger mean age at onset comparing with those with manic episodes (25.3 years vs. 30.8 years; p=0.025) they also had more previous mood- incongruent psychotic symptoms χ2= 6.77, p=0.034), more number of hospitalizations (OR= 1.36, 95% CI = 1.14; -1.63; p< 0.001), and more number of episodes (OR= 1.21, 95% CI = 1.10-1.31; p< 0.001). There were no significant differences relating to depressive episodes, alcohol use, drug abuse, suicidal behaviour and suicide attempts.
Age at onset differed significantly between the mixed episode and pure mania groups, with mixed episode patients having a younger age of onset. This is interesting as one of the major results of the study we have found that age at onset mediates some of the factors classically related to outcome in mixed episodes like alcohol abuse and suicide attempts. However, independently of age at onset, these patients represent a especially severe type of bipolar disorder.
Diffusion tensor imaging (DTI) is a relatively new imaging technique that is being increasingly used in different types of psychiatric patologies to characterize white matter microstructural organization in this kind of disorders. In the present study we use DTI to explore the structure of the white matter of borderline personality disorder (BPD) patients, using a novel voxel-based approach, tract-based spatial statistics (TBSS), to analyze the data.
Methods and materials
DTI was performed in a 1.5T MRI unit in 9 young male patients with a DSM-IV defined BPD and 14 healthy male control subjects (no significant age difference between groups).Voxel wise analysis was performed using TBSS (diffusion toolbox of FSL- functional MRI Software Library) to localize regions of white matter showing significant changes of fractional anisotropy (FA). Additional high resolution three dimensional datasets were also acquired and normalised white matter volume was estimated with SIENAX (part of FSL).
The TBSS analysis revealed a statistically significant decrease in FA at the anterior part of the body and the genu of the corpus callosum and frontal white matter. This finding is consistent with previously reported findings of subtle prefrontal white matter abnormalities in BPD.
Significant white matter tract alterations in patients with BPD where observed in frontal regions involved in emotional, behavioural and cognitive regulation, and these abnormalities may be linked to key aspects of psychopatology in these patients.
To study the changes in plasma concentration of homovanillic acid (pHVA) and its relation with clinical outcome during treatment of Bipolar I patients with olanzapine plus lithium.
Patients and Methods:
Fifty six (33 women and 23 men) Bipoar I patients, age 35.1±9.4 (SD) years, diagnosed according to DSM-IV, were treated initially with 10mg/day of olanzapine for 4 days and subsequently with 20 mg/day. On the 8th day lithium was added until a concentration of 0.6 to 1.2 mEq/L was reached in plasma. Patients were, at least, a week without neuroleptic or mood stabilizer medication.
Their clinical state was evaluated before and during 28 days of treatment with the Young scale and with the Clinical Global Impression.
Morning fasting levels of pHVA were analyzed the same days that scales were passed.
Plasma HVA after 28 days of treatment does not decline as habitually happens with neuroleptic treatment alone. Moreover, there was a trend toward significance of a Positive Correlation between pHVA and clinical improvement.
The addition of Lithium to Olanzapine altered the pattern of pHVA response from the first days of treatment up to day 28, suppressing the habitual decline in pHVA concentration. These results are similar to those observed by Bowers et al. (1992) when lithium was combined with perphenazine. The correlation between changes in pHVA concentration during 28 days of treatment and clinical outcome was the opposite to that found in schizophrenic patients treated with neuroleptics alone.
To describe validation process of the new apathy scale for institutionalized dementia patients (APADEM-NH).
100 elderly, institutionalized patients with diagnosis of probable Alzheimer Disease (AD) (57%), possible AD (13%), AD with cerebral vascular disease (CVD) (17%), Lewy Bodies Dementia (11%) and Parkinson associated to dementia (PDD) (2%). All stages of the disease severity according to the Global Deterioration Scale (GDS) and Clinical Dementia Rating (CDR) were assessed. The Apathy Inventory (AI), Neuropsychiatric Inventory (NPI), Cornell scale for depression, and the tested scale were applied. Re-test and inter-rater reliability was carried out in 50 patients. The feasibility and acceptability, reliability, validity, and measurement precision were analyzed.
APADEM-NH final version consists of 26 items and 3 dimensions: Deficit of Thinking and Self-Generated behaviors (DT): 13 items, Emotional Blunting (EB): 7 items, and Cognitive Inertia (CI): 6 items. Mean application time was 9.56 minutes and 74% of applications were fully computable. All subscales showed floor and ceiling effect lower than 15%. Internal consistency was excellent for each dimension (Cronbach’s α DT = 0.88, α EB = 0.83, α CI= 0.88);Test-retest reliability for the items was kW=0,48-0,92; Inter-rater reliability reached kW values 0.84-1.00; The APADEM-NH total score showed a low/moderate correlation with apathy scales (Spearman ρ, AI =0.33; NPI-Apathy= 0,31), no correlation with depression scales (NPI-Dementia = -0.003; Cornell= 0,10), and high internal validity (ρ =0.69 0.80).
APADEM-NH is a brief, psychometrically acceptable, and valid scale to assess apathy in patients from mild to severe dementia and discerning between apathy and depression.
Natural polyamines (putrescine, spermidine and spermine) are low molecular weight highly protonated aliphatic molecules that physiologically modulate NMDA, AMPA/kainate glutamatergic receptors and limbic dopaminergic neurotransmission. Previous studies had demonstrated that polyamine metabolism might be disrupted in schizophrenia, what could potentially be linked to glutamatergic dysfunction. In particular, polyamine levels in blood and fibroblast cultures from patients with schizophrenia had previously been found to be higher than in healthy controls. Indeed, a significant positive correlation between blood polyamine levels and severity of illness may exist.
In order to test potential differences in blood polyamine levels between drug-free schizophrenia in-patients (n = 12), and healthy controls (n = 26, blood donors), spermidine (spd), spermine (spm), and spermidine/spermine index (spd/spm) were determined using HPLC after dansylation.
No significant differences were found between groups (t = 0,974; df = 36; P = 0,337 for spd, t = l0, 52; df = 36; P = 0,959 for Spm, and, t = 0, 662; df = 36; P = 0,512 for spd/spm).
Though we couldn’t replicate previous findings suggesting disturbances in blood polyamine levels in schizophrenia, this issue may be a promising target. Future research should take into account possible factors such as sex, nutritional state, and stress.
Social cognition is presently an important focus in rehabilitation of patients wish schizophrenic psychoses. Emotion recognition in one of its different components, the Training of Affect Recognition (TAR) is a therapy program specifically developed aiming at improving affect recognition.
To test if the material of the TAR program in terms a series of facial affect cards is reliable for emotion recognition in a Spanish control population.
A sample of Spanish control subjects were shown the TAR's series of facial affect cards. It includes the following emotions: happiness, sadness, surprise, fear, angry and disgust, and the neutral facial affect. Reliability was assessed by means of the kappa coefficient. Kappa values higher than 0.4 were considered reliable, the following criterion was accepted: kappa values < 0.4, low reliability; 0.4 to 0.75, moderate reliability; > 0.76, strong reliability.
The sample was formed by subjects from the general population with no previous history of psychiatric disorders (n = 20). The following kappa values were obtained: happiness, 0.8406 (CI 0.7744–0.9068), sadness, 0.6171 (CI 0.5377–0.6964), surprise, 0.6582 (CI 0.5859–0.7304), fear, 0.4509 (CI 0.3569–0.5448), angry, 0.6252 (CI 0.5464–0.7040), disgust, 0.7700 (CI 0.6943–0.8456), neutral, 0.5534 (CI 0.4663–0.6404).
In a preliminary study in a sample of 20 Spanish control subjects using the TAR's series of facial affect cards, the six basic emotions and the neutral facial affect were recognized with at least a moderate reliability. A strong reliability was obtained in happiness and disgust, and a moderate reliability in surprise, angry, sadness, neutral, fear.