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Emotional flexibility advancement has been found to be highly effective in clinical settings to treat, for example, depression, anxiety, and chronic pain. Developing these skills in the working context has also shown very encouraging results in public sector settings. Also, a few studies have revealed effectiveness in a private sector setting, but no studies have yet looked at the effectiveness of developing these skills amongst high-paced, high-demanding, and highly-educated knowledge workers. In this pilot training intervention study, we report evidence that emotional flexibility can be developed in this context. We conducted an experiment with treatment and control groups, with only the treatment group receiving an emotional flexibility training. Emotional flexibility improved significantly for the treatment group, whereas the improvements were minimal or negative for the control group. Furthermore, we reveal that General self-efficacy improved amongst treatment group participants (and not for control group participants), and that this is associated with emotional flexibility. Finally, we show that the improvements were higher for participants starting from a lower baseline., Competing Interests: The 1st author is a part-time employee of the organization where the research was performed and a part-time affiliated researcher at three Universities. The 4th author is an employee of the same organization and invited the research as part of an employee well-being program. None of the other authors are part of this organization and served as academic researchers. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

The objective of this project was to test whether a drug-induced model of temporal lobe seizures, namely seizures induced by a gamma aminobutyric acid (GABA B ) receptor antagonist, CGP35348, result in long-term disruption of hippocampal memory function. Seizures were induced in experimental rats by intracerebroventricular (i.c.v.) injection of CGP35348 (0.64 μmol in 3 μL) for three consecutive days; control rats received no injection. Rats were first trained to criterion on an open radial arm maze (RAM) with 4 of the 8 arms baited, then received seizure and control treatment, and tested again on the RAM during the first week (days 1-5) and fourth week (days 22-29) after the last injection. An initial i.c.v. CGP35348 injection induced a mean of 4.4 seizures in the hippocampus, often accompanied with stages 3-5 convulsions, and sometimes with jumping; three daily CGP35348 injections induced 10.4 ± 1.8 (n = 7 rats) seizures in total. In two separate experiments, seizure-treated rats performed worse than control rats in working memory (WM) during both the 1st and 4th weeks after seizures. Reference memory (RM) deficit during the 1st week after seizures was observed in only one experiment in which RM was acquired >2 weeks ago. The memory deficits were not accompanied by gross neuronal loss in the hippocampus. In conclusion, i.c.v. injection of a GABA B receptor antagonist in adult rats induced brief, multiple, focal hippocampal seizures that induced deficits in spatial memory for up to 4 weeks., (Copyright © 2019 Elsevier Inc. All rights reserved.)

This study aimed to focus on medical knowledge representation and reasoning using the probabilistic and fuzzy influence processes, implemented in the semantic web, for decision support tasks. Bayesian belief networks (BBNs) and fuzzy cognitive maps (FCMs), as dynamic influence graphs, were applied to handle the task of medical knowledge formalization for decision support. In order to perform reasoning on these knowledge models, a general purpose reasoning engine, EYE, with the necessary plug-ins was developed in the semantic web. The two formal approaches constitute the proposed decision support system (DSS) aiming to recognize the appropriate guidelines of a medical problem, and to propose easily understandable course of actions to guide the practitioners. The urinary tract infection (UTI) problem was selected as the proof-of-concept example to examine the proposed formalization techniques implemented in the semantic web. The medical guidelines for UTI treatment were formalized into BBN and FCM knowledge models. To assess the formal models' performance, 55 patient cases were extracted from a database and analyzed. The results showed that the suggested approaches formalized medical knowledge efficiently in the semantic web, and gave a front-end decision on antibiotics' suggestion for UTI., (Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.)

Although the health care sector has already been subjected to a major computerization effort, this effort is often limited to the implementation of standalone systems which do not communicate with each other. Interoperability problems limit health care applications from achieving their full potential. In this paper, we propose the use of Semantic Web technologies to solve interoperability problems between data providers. Through the development of unifying health care ontologies, data from multiple health care providers can be aggregated, which can then be used as input for a decision support system. This way, more data is taken into account than a single health care provider possesses in his local setting. The feasibility of our approach is demonstrated by the creation of an end-to-end proof of concept, focusing on Belgian health care providers and medicinal decision support., (Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.)

Therapy decision making and support in medicine deals with uncertainty and needs to take into account the patient's clinical parameters, the context of illness and the medical knowledge of the physician and guidelines to recommend a treatment therapy. This research study is focused on the formalization of medical knowledge using a cognitive process, called Fuzzy Cognitive Maps (FCMs) and semantic web approach. The FCM technique is capable of dealing with situations including uncertain descriptions using similar procedure such as human reasoning does. Thus, it was selected for the case of modeling and knowledge integration of clinical practice guidelines. The semantic web tools were established to implement the FCM approach. The knowledge base was constructed from the clinical guidelines as the form of if-then fuzzy rules. These fuzzy rules were transferred to FCM modeling technique and, through the semantic web tools, the whole formalization was accomplished. The problem of urinary tract infection (UTI) in adult community was examined for the proposed approach. Forty-seven clinical concepts and eight therapy concepts were identified for the antibiotic treatment therapy problem of UTIs. A preliminary pilot-evaluation study with 55 patient cases showed interesting findings; 91% of the antibiotic treatments proposed by the implemented approach were in fully agreement with the guidelines and physicians' opinions. The results have shown that the suggested approach formalizes medical knowledge efficiently and gives a front-end decision on antibiotics' suggestion for cystitis. Concluding, modeling medical knowledge/therapeutic guidelines using cognitive methods and web semantic tools is both reliable and useful., (Copyright © 2011 Elsevier Inc. All rights reserved.)

History and Clinical Findings: A 61-year-old man presented with a four-day history of back pain and nonspecific abdominal pain. His condition had significantly worsened since the day before admission with generalized weakness and dyspnea. His temperature was 39.1 C, he had tachycardia and was tachypneic. Peripheral cyanosis was noted. The abdomen was soft with mild epigastric tenderness. A diffuse skin rash developed with increasing petechial bleeding and central necrosis. It was revealed that he had been bitten by a dog several weeks before admission., Investigations: Laboratory data indicated an acute inflammatory process with a marked increase in white blood cells and C-reactive protein. An elevated procalcitonin level suggested a systemic bacterial infection. Chest X-ray and abdominal CT scan were unremarkable. Echocardiography revealed a globally hypokinetic heart with no evidence of valvular vegetations. One set of blood cultures grew micro-aerophilic, Gram-negative rods. Gene sequencing identified the slow growing, fastidious bacillus as CAPNOCYTOPHAGA CANIMORSUS., Treatment and Course: The patient was admitted to the intensive care unit and initially treated with intravenous piperacillin/tazobactam and hydrocortisone for septic shock. Transfusions of platelets and blood products were given because of disseminated intravascular coagulation. The patient developed multi-organ failure requiring ventilation and hemodialysis; he died four days after admission., Conclusions: As a rare cause of septicemia, especially in immunocompromised patients, Capnocytophaga canimorsus infection should be considered after an animal bite. Given the slow growth of this bacterium in culture, Gram-staining of a peripheral blood smear may provide an early diagnosis and avoid delay before appropriate antibiotic therapy, which may favorably influence the potentially fatal course, is started.

Tissue banks containing human malignant and benign tissue have become highly important for modem cancer research. They provide an excellent source of information with respect to pathological states and processes. Nowadays tissue samples can be examined using a broad variety of molecular biology methods, at the levels of DNA, RNA and protein. However, these new possibilities impose great expectations from the user side towards tissue banks and their associated databases. Nowadays a database that only manages tissue samples is not timely anymore. In fact a modern database should be capable of registering arbitraty amounts of tissue relevant information in an easily searchable way. In order to simplify the often complicated and time consuming process of data collection, we have developed a software solution that centralizes various aspects of tumor tissue banking. The main task of this software is not only to administer tissue samples but also to provide a centralized data platform for scientists which support their research. To achieve our goals we have constructed a tissue database which is supported by an Oracle System. The access to this database has been made possible with a light-weight, self-developed Java Client Program. The system possesses high levels of security and the access to information in the database is strictly controlled by preset permissions. A flexible search mechanism is also readily available for speedy data extraction according to various criteria. This solution provides us with an "All-in-one" tool for the purpose of flexible and efficient data collection and management in cancer research.

The reelin signaling pathway plays a crucial role during the development of laminated structures in the mammalian brain. Reelin, which is synthesized and secreted by Cajal-Retzius cells in the marginal zone of the neocortex and hippocampus, is proposed to act as a stop signal for migrating neurons. Here we show that a decreased expression of reelin mRNA by hippocampal Cajal-Retzius cells correlates with the extent of migration defects in the dentate gyrus of patients with temporal lobe epilepsy. These results suggest that reelin is required for normal neuronal lamination in humans, and that deficient reelin expression may be involved in migration defects associated with temporal lobe epilepsy.