Inconsistencies between mental fatigue measures under compensatory control theories

Mental fatigue has traditionally been defined as a condition of reduced cognitive efficiency and performance, accompanied by a subjective feeling of fatigue. Even though we could expect to find associations between the three defining characteristic of mental fatigue (performance impairment, physiological deactivation and subjective fatigue), research has shown that the emergence of inconsistencies between measures is more frequent than one might expect: people proved capable of maintaining adequate performance levels even after having declared themselves fatigued. This could be explained under the compensatory control mechanism models, which state that humans are able to provide additional resources under demanding conditions, but only at the expense of psychophysiological cost and subjective fatigue. We tested this explanation by manipulating task complexity and time performing a simulated air-traffic control task. We collected psychophysiological, performance and subjective data. A decrease in pupil size was seen in the low-aircraft-density condition, while pupil size remained constant in the high-aircraft-density condition. Participants’ task performance was optimal in both conditions, though they showed an increase in subjective feelings of fatigue, especially in the high-complexity task condition. Thus, complexity seemed to trigger compensatory mechanisms, which reallocated extra resources that physiologically activated participants in order to deal with a higher complexity task, whereas subjective fatigue could be acting as a signal to the organism of impending resource depletion. Our findings support compensatory control theories and offer an explanation of inconsistencies between fatigue measures. Further research on compensatory mechanisms is needed to enable better management of fatigue effects to prevent work-related accidents.Spanish Ministry of Industry PI-1461/201

Effect of Parity on Productive Performance and Calving Interval in Water Buffaloes

The aim of this study was to determine the effect of the parity on productive performance (lactation length, total milk yield and milk yield by day of calving interval) and calving interval in water buffaloes. For this purpose, records of 663 lactations from 248 buffaloes were evaluated. Total milk yield was 1344.91 liters, lactation length was 291.20 days, calving interval was 453.55 days and milk by day of calving was 2.77 liters. Parity did not significantly affect total milk yield, but had a significant effect on lactation length, calving interval and milk by day of calving interval. First calving buffaloes had a longer lactation, a longer calving interval and in consequence lower productivity than buffaloes with two and three or more calving. Second calving buffaloes had intermediate and significantly different values than buffaloes with three or more calving. Calving interval was positively correlated with total milk yield (r = 0.34983, p <0.0001) and length of lactation (r = 0.67408, p = <0.0001); and negatively with milk by day of calving (r = -0.41263, p<0.0001). In conclusion, parity affected the productive performance and calving interval, with buffaloes of one and two calving being less productive due to a longer calving interval. An increase of milk yield is related with a longer calving interval, therefore, buffaloes of one and two calving, must be provided with optimal management conditions, which allow them to support milk yield and not to compromise the reproductive performance

Task Demand Transition Peak Point Effects on Mental Workload Measures Divergence

The capacity to assess and manage mental workload is becoming more and more relevant in the current work environments as it helps to prevent work related accidents and achieve better efficiency and productivity. Mental workload is often measured indirectly by inferring its effects on performance, mental states, and psychophysiological indexes. Since these three main axes should reflect changes in task demands, convergence between measures is expected, however research has found that this convergence is not to be taken for granted as it is not often present. This study aims to explore how the task demand transition peak point may affect in mental workload divergence between measures during taskload changes: some measures might be more sensitive to abrupt changes in task demand than others and this could also be mediated by the task-load baseline. This was tested by manipulating task-load transitions and the point at which the change in the task load magnitude reaches its highest relative peak over time during a monitoring experiment, while psychophysiological (pupil size) and subjective perceptions were collected as indicators of subjects’ workload alongside objective indicators of task performance from the simulation. The results showed that performance measure proved to be sensitive to abrupt increases in task demand in every condition whereas our physiological measure was only sensitive to a sudden increase in task-load during low mental workload baseline circumstances. Furthermore, contrary to what expected, subjective ratings of mental workload did not react to abrupt transitions in task-load in every condition but only to an absolute measure of the overall level of task demand

IgG4-Related Disease Affecting Testicle and Myelodysplastic Syndrome: Just a Coincidence?

Immunoglobulin G4-related disease (IgG4-RD) is progressive immune-mediated fibrotic condition characterised by a tendency to form tumefactive lesions in different organs and by elevated IgG4 serum concentrations. Urological manifestations are rare and normally occur together with other systemic affections. Myelodysplastic syndromes (MDS) are hematopoietic stem cell neoplasms, with different subtypes based on the type of blood cells involved. MDS can be associated with other pathologies or medical treatments. We present an uncommon case of testicular manifestation associated with myelodysplastic syndrome here

Introducció a les Xarxes Telemàtiques: problemes amb solució

Col·lecció de problemes resolts d'IXT (Introducció a les Xarxes Telemàtiques) amb solució, 1er curs dels graus de l'ETSETB.2022/20232n quadrimestr

Introducció a les Xarxes Telemàtiques: problemes amb solució

Col·lecció de problemes resolts d'IXT (Introducció a les Xarxes Telemàtiques) amb solució, 1er curs dels graus de l'ETSETB.2022/20232n quadrimestr

Introducció a les Xarxes Telemàtiques: problemes amb solució

Col·lecció de problemes resolts d'IXT (Introducció a les Xarxes Telemàtiques) amb solució, 1er curs dels graus de l'ETSETB2022/20232n quadrimestr

Systematic Collaborative Reanalysis of Genomic Data Improves Diagnostic Yield in Neurologic Rare Diseases

Altres ajuts: Generalitat de Catalunya, Departament de Salut; Generalitat de Catalunya, Departament d'Empresa i Coneixement i CERCA Program; Ministerio de Ciencia e Innovación; Instituto Nacional de Bioinformática; ELIXIR Implementation Studies (CNAG-CRG); Centro de Investigaciones Biomédicas en Red de Enfermedades Raras; Centro de Excelencia Severo Ochoa; European Regional Development Fund (FEDER).Many patients experiencing a rare disease remain undiagnosed even after genomic testing. Reanalysis of existing genomic data has shown to increase diagnostic yield, although there are few systematic and comprehensive reanalysis efforts that enable collaborative interpretation and future reinterpretation. The Undiagnosed Rare Disease Program of Catalonia project collated previously inconclusive good quality genomic data (panels, exomes, and genomes) and standardized phenotypic profiles from 323 families (543 individuals) with a neurologic rare disease. The data were reanalyzed systematically to identify relatedness, runs of homozygosity, consanguinity, single-nucleotide variants, insertions and deletions, and copy number variants. Data were shared and collaboratively interpreted within the consortium through a customized Genome-Phenome Analysis Platform, which also enables future data reinterpretation. Reanalysis of existing genomic data provided a diagnosis for 20.7% of the patients, including 1.8% diagnosed after the generation of additional genomic data to identify a second pathogenic heterozygous variant. Diagnostic rate was significantly higher for family-based exome/genome reanalysis compared with singleton panels. Most new diagnoses were attributable to recent gene-disease associations (50.8%), additional or improved bioinformatic analysis (19.7%), and standardized phenotyping data integrated within the Undiagnosed Rare Disease Program of Catalonia Genome-Phenome Analysis Platform functionalities (18%)

International lower limb collaborative (INTELLECT) study: a multicentre, international retrospective audit of lower extremity open fractures

Trauma remains a major cause of mortality and disability across the world1, with a higher burden in developing nations2. Open lower extremity injuries are devastating events from a physical3, mental health4, and socioeconomic5 standpoint. The potential sequelae, including risk of chronic infection and amputation, can lead to delayed recovery and major disability6. This international study aimed to describe global disparities, timely intervention, guideline-directed care, and economic aspects of open lower limb injuries