Fear and Anxiety in Social Setting An Experimental Study

The purpose of this study was to examine the effects of dispositional and situational factors on cognitive biases. The theoretical background was based on Kimbrel’s Mediated Model of Social Anxiety and the revised reinforcement sensitivity theory by Gray and McNaughton. Two experiments were conducted. Study 1 (78 participants [85.9% females, aged 19–21 years]) included the induction of potential social threat, while in Study 2 (121 participants [85.1% females, aged 19–23 years]) real threat was used. The Reinforcement Sensitivity Questionnaire was employed as a measure of personality traits (Behavioral Inhibition System [BIS], Behavioral Approach System [BAS], Fight, Flight, and Freeze). Cognitive biases were assessed with the Dot Probe Task (attentional bias), Incidental Free Recall Task (memory bias), and Social Probability Cost Questionnaire (judgmental bias). The probability of occurrence of negative events was higher in the experimental group. BIS contributed positively to the prediction of probability of occurrence of negative events; and Freeze was positively related to attention bias toward pleasant stimuli. The results of the second study showed that experimentally induced circumstances of social threats did not affect cognitive biases. BIS and Freeze contributed positively to prediction of probability and distress in social context, while BIS was positively related with probability of occurrence of negative social events

Ewing's Sarcoma of the Lesser Sac Masquerading as a Pancreatic Tumor

Extraosseous Ewing's sarcoma/primitive neuroectodermal tumor (ES/PNET) is an uncommon, aggressive, and malignant tumor with a poor patient outcome. Its occurrence in the lesser sac is a rare event and to the best of our knowledge, has not been previously described. The present case was clinically and radiologically misdiagnosed as a pancreatic tumor/gastrointestinal stromal tumor. Histopathology revealed a tumor with "small round cells" that were positive for CD99, confirming the diagnosis of ES/PNET. This report highlights the importance of considering Ewing's sarcoma in the differential diagnosis of intraabdominal, extraintestinal masses

Mapping the distribution of Internet of Things competences across European regions

Digital transformation is a key strategic issue for countries and regions aiming to boost economic growth, job creation, technology development and innovation. With a focus on the Internet of Things (IoT) the paper maps the potential of IoT technologies across European regions, using textual analysis applied to the description of companies’ activities. Results identify three categories of regions (IoT leaders, co-designers and suppliers) capturing their potential to harness opportunities in IoT, based on the variety of IoT competences that are present. This mapping can support regional policies, particularly in the context of smart specialization strategies building on IoT systems

Mapping regional strengths in a key enabling technology: the distribution of Internet of Things competences across European regions

The Internet of Things (IoT) can trigger innovation processes across all sectors of the economy. However, this potential is not available to all regions. As with other enabling technologies, the competences required to develop IoT solutions are numerous and var-ied, ranging from hardware to software and related services, and are often provided by different companies. To map the application potential of these technologies across Eu-ropean regions, we use textual analysis applied to the description of companies’ activi-ties, which in turn allows us to identify the NACE codes associated with five main IoT domains. We identify clusters of regions characterised by different mixes of compe-tences in IoT technologies, and we discern three groups of regions – regions with spe-cialised IoT competences in software, data processing and telecommunications, regions with specialised IoT competences in hardware manufacturing, and regions with cross-layer IoT competences. Regions with cross layer IoT competences are highly concen-trated in the North-West of Europe and have a significant presence in either urban re-gions, often centred in the capital cities and their metropolitan areas, or in very-high income manufacturing regions. Regions specialised in hardware manufacturing coin-cide with the more established manufacturing regions in Germany, Italy and France. Regions specialised in software, data processing and telecommunications tend to be urban, medium-high income regions in North-West Europe. We discuss the policy im-plications of our findings at both European and regional levels

Enhancing the pharmacodynamic profile of a class of selective COX-2 inhibiting nitric oxide donors

We report herein the development, synthesis, physicochemical and pharmacological characterization of a novel class of pharmacodynamic hybrids that selectively inhibit cyclooxygenase-2 (COX-2) isoform and present suitable nitric oxide releasing properties. The replacement of the ester moiety with the amide group gave access to in vivo more stable and active derivatives that highlighted outstanding pharmacological properties. In particular, the glycine derivative proved to be extremely active in suppressing hyperalgesia and edema. © 2013 Elsevier Ltd. All rights reserved

Primary gastric non-Hodgkin's lymphoma in Chinese patients: clinical characteristics and prognostic factors

<p>Abstract</p> <p>Background</p> <p>Optimal management and outcome of primary gastric lymphoma (PGL) have not been well defined in the rituximab era. This study aimed to analyze the clinical characteristics, prognostic factors, and roles of different treatment modalities in Chinese patients with PGL.</p> <p>Methods</p> <p>The clinicopathological features of 83 Chinese patients with PGL were retrospectively reviewed. Staging was performed according to the Lugano staging system for gastrointestinal non-Hodgkin's lymphoma.</p> <p>Results</p> <p>The predominant pathologic subtype among Chinese patients with PGL in our study was diffuse large B cell lymphoma (DLBCL), followed by mucosa-associated lymphoid tissue (MALT) lymphoma. Among the 57 patients with gastric DLBCL, 20 patients (35.1%) were classified as the germinal center B cell-like (GCB) subtype and 37 patients (64.9%) as the non-GCB subtype. The 83 patients had a five-year overall survival (OS) and event-free survival (EFS) of 52% and 59%, respectively. Cox regression analysis showed that stage-modified international prognostic index (IPI) and performance status (PS) were independent predictors of survival. In the 67 B-cell lymphoma patients who received chemotherapy, 36 patients treated with rituximab (at least 3 cycles) had a mean OS of 72 months (95% CI 62-81) versus 62 months (95% CI 47-76) for patients without rituximab treatment (P = 0.021).</p> <p>Conclusion</p> <p>The proportion of Chinese gastric DLBCL cases with non-GCB subtype was higher than the GCB subtype. Stage-modified IPI and PS were effective prognostic factors in Chinese patients with PGL. Our data suggested that primary gastric B-cell lymphoma might have an improved outcome with rituximab in addition to chemotherapy. More studies are necessary, preferentially large prospective randomized clinical trials to obtain more information on the impact of the rituximab in the primary gastric B-cell lymphoma.</p

Happiness around the world: A combined etic-emic approach across 63 countries

What does it mean to be happy? The vast majority of cross-cultural studies on happiness have employed a Western-origin, or "WEIRD" measure of happiness that conceptualizes it as a self-centered (or "independent"), high-arousal emotion. However, research from Eastern cultures, particularly Japan, conceptualizes happiness as including an interpersonal aspect emphasizing harmony and connectedness to others. Following a combined emicetic approach (Cheung, van de Vijver &amp; Leong, 2011), we assessed the cross-cultural applicability of a measure of independent happiness developed in the US (Subjective Happiness Scale; Lyubomirsky &amp; Lepper, 1999) and a measure of interdependent happiness developed in Japan (Interdependent Happiness Scale; Hitokoto &amp; Uchida, 2015), with data from 63 countries representing 7 sociocultural regions. Results indicate that the schema of independent happiness was more coherent in more WEIRD countries. In contrast, the coherence of interdependent happiness was unrelated to a country's "WEIRD-ness." Reliabilities of both happiness measures were lowest in African and Middle Eastern countries, suggesting these two conceptualizations of happiness may not be globally comprehensive. Overall, while the two measures had many similar correlates and properties, the self-focused concept of independent happiness is "WEIRD-er" than interdependent happiness, suggesting cross-cultural researchers should attend to both conceptualizations

COVID-19 infection in adult patients with hematological malignancies: a European Hematology Association Survey (EPICOVIDEHA)

Background: Patients with hematological malignancies (HM) are at high risk of mortality from SARS-CoV-2 disease 2019 (COVID-19). A better understanding of risk factors for adverse outcomes may improve clinical management in these patients. We therefore studied baseline characteristics of HM patients developing COVID-19 and analyzed predictors of mortality. Methods: The survey was supported by the Scientific Working Group Infection in Hematology of the European Hematology Association (EHA). Eligible for the analysis were adult patients with HM and laboratory-confirmed COVID-19 observed between March and December 2020. Results: The study sample includes 3801 cases, represented by lymphoproliferative (mainly non-Hodgkin lymphoma n = 1084, myeloma n = 684 and chronic lymphoid leukemia n = 474) and myeloproliferative malignancies (mainly acute myeloid leukemia n = 497 and myelodysplastic syndromes n = 279). Severe/critical COVID-19 was observed in 63.8% of patients (n = 2425). Overall, 2778 (73.1%) of the patients were hospitalized, 689 (18.1%) of whom were admitted to intensive care units (ICUs). Overall, 1185 patients (31.2%) died. The primary cause of death was COVID-19 in 688 patients (58.1%), HM in 173 patients (14.6%), and a combination of both COVID-19 and progressing HM in 155 patients (13.1%). Highest mortality was observed in acute myeloid leukemia (199/497, 40%) and myelodysplastic syndromes (118/279, 42.3%). The mortality rate significantly decreased between the first COVID-19 wave (March–May 2020) and the second wave (October–December 2020) (581/1427, 40.7% vs. 439/1773, 24.8%, p value < 0.0001). In the multivariable analysis, age, active malignancy, chronic cardiac disease, liver disease, renal impairment, smoking history, and ICU stay correlated with mortality. Acute myeloid leukemia was a higher mortality risk than lymphoproliferative diseases. Conclusions: This survey confirms that COVID-19 patients with HM are at high risk of lethal complications. However, improved COVID-19 prevention has reduced mortality despite an increase in the number of reported cases.EPICOVIDEHA has received funds from Optics COMMITTM (COVID-19 Unmet Medical Needs and Associated Research Extension) COVID-19 RFP program by GILEAD Science, United States (Project 2020-8223)

Analytical techniques for multiplex analysis of protein biomarkers

Introduction: The importance of biomarkers for pharmaceutical drug development and clinical diagnostics is more significant than ever in the current shift toward personalized medicine. Biomarkers have taken a central position either as companion markers to support drug development and patient selection, or as indicators aiming to detect the earliest perturbations indicative of disease, minimizing therapeutic intervention or even enabling disease reversal. Protein biomarkers are of particular interest given their central role in biochemical pathways. Hence, capabilities to analyze multiple protein biomarkers in one assay are highly interesting for biomedical research. Areas covered: We here review multiple methods that are suitable for robust, high throughput, standardized, and affordable analysis of protein biomarkers in a multiplex format. We describe innovative developments in immunoassays, the vanguard of methods in clinical laboratories, and mass spectrometry, increasingly implemented for protein biomarker analysis. Moreover, emerging techniques are discussed with potentially improved protein capture, separation, and detection that will further boost multiplex analyses. Expert commentary: The development of clinically applied multiplex protein biomarker assays is essential as multi-protein signatures provide more comprehensive information about biological systems than single biomarkers, leading to improved insights in mechanisms of disease, diagnostics, and the effect of personalized medicine.</div