The Effect of Emotional Labor of College Administrative Service Workers on Job Attitudes: Mediating Effect of Emotional Labor on Trust and Organizational Commitment

Service providers working for a service organization are asked to express such positive emotions as joy, pleasure, and politeness required at the organizational level rather than their natural emotions they are experiencing at the moment. They cannot express their emotion they are actually going through and accordingly, their level of emotional labor and emotional dissonance influence on their job commitment and trust toward their organization. This study thus set out to investigate the effects of leading variables of emotional labor on the level of emotional labor and the impact of emotional labor on organizational trust and organizational commitment with a subject group of college administrative staffs. Three underlying factors such as job stress, intimacy, and professionalism were identified as the determinants of emotional labor. Based on the conceptual background and our research questions, five research hypotheses and the proposed research model regarding the effects of emotional labor on organizational commitment and trust were developed. We also tried to include the moderating effects of work environment and gender of service providers on the research model. Given those findings, this study offers theoretical implication that confirms the negative results of emotional labor. Unlike many different studies on emotional labor from the traditional perspective of service, this study offers a practical implication by expanding and applying it to the field of college administrative service, which is an area where service providers are in the different working environment from the traditional company work environment. Finally, the managerial implications and the limitations of the study were also discussed

Relationship Bonds and Service Provider’s Emotional Labor: Moderating Effects of Collectivism

Since service providers directly conduct emotional labor to customers, it is important to identify the factors influencing emotional labor of service providers. Even though the studies identifying the predisposing factors influencing emotional labor are taking place, there is no empirical evidence confirming how relationship bonds, which have been established between corporations and service providers, are related to emotional labor. This study examined the influences of relationship bonds on emotional labor through person-organization fit (P-O fit) and the moderating effects of collectivism between P-O fit and emotional labor. Analysis was conducted by performing questionnaire surveys targeting 350 employees in the financial industry. As a result of the analysis, it has been found that financial bonds, social bonds, and structural bonds enhanced P-O fit and P-O fit improved deep acting. In addition, this study identified that collectivism of service providers strengthened the influence of P-O fit toward deep acting. This study not only suggested the empirical evidence identifying the process of relationship bonds influencing emotional labor but also expanded the scope of study by examining moderating roles of collectivism in cultural psychology aspect

Spontaneous left external iliac vein rupture

We report a 72-year-old female patient with spontaneous rupture of the left external iliac vein. She visited our hospital for abdominal and back pain. She had the abnormal finding of hemoperitoneum. We performed an emergency operation with diagnosis of left ovarian cyst rupture though she suffered from spontaneous rupture of the left external iliac vein. This case provides insight to the experience of spontaneous rupture of the left external iliac vein

Using Two Compatible Donor Polymers Boosts the Efficiency of Ternary Organic Solar Cells to 17.7%

The use of ternary organic semiconducting blends is recognized as an effective strategy to boost the performance of polymer solar cells (PSCs) by increasing the photocurrent while minimizing voltage losses. Yet, the scarcity of suitable donors with a deep highest occupied molecular orbital (HOMO) level poses a challenge in extending this strategy to ternary systems based on two polymers. Here, we address this challenge by the synthesis of a new donor polymer (PM7-Si), which is akin to the well-known PM6 but has a deeper HOMO level. PM7-Si is utilized as the third component to enhance the performance of the best-in-class binary system of PM6:BTP-eC9, leading to simultaneous improvements in the efficiency (17.7%), open-circuit voltage (0.864 V), and fill factor (77.6%). These decisively enhanced features are attributed to the efficient carrier transport, improved stacking order, and morphology. Our results highlight the use of two polymer donors as a promising strategy toward high-performance ternary PSCs

Over 18% ternary polymer solar cells enabled by a terpolymer as the third component

“Ternary blending” and “random terpolymerization” strategies have both proven effective for enhancing the performance of organic solar cells (OSCs). However, reports on the combination of the two strategies remain rare. Here, a terpolymer PM6-Si30 was constructed by inserting chlorine and alkylsilyl-substituted benzodithiophene (BDT) unit (0.3 equivalent) into the state-of-the-art polymer PM6. The terpolymer exhibitsadeep highest-occupied-molecular-orbital energy and good miscibility with both PM6 and BTP-eC9 (C9) and enables its use as a third component into PM6:PM6-Si30:C9 bulk-heterojunction for OSCs. The resulting cells exhibit maximum power conversion efficiency (PCE) of 18.27%, which is higher than that obtained for the optimized control binary PM6:C9-based OSC (17.38%). The enhanced performance of the PM6:PM6-Si30:C9 cells is attributed to improved charge transport, favorable molecular arrangement, reduced energy loss and suppressed bimolecular recombination. The work demonstrates the potential of random terpolymer as a third component in OSCs and highlights a new strategy for the construction of a ternary system with improved photovoltaic performance

Sulforaphane Induces Antioxidative and Antiproliferative Responses by Generating Reactive Oxygen Species in Human Bronchial Epithelial BEAS-2B Cells

Sulforaphane (SFN) is a naturally occurring compound which is known to induce the phase II antioxidant genes via Nrf2 activation, although the underlying mechanism has not been fully elucidated. In this study, we investigated Nrf2 induction in response to SFN in human bronchial epithelial BEAS-2B cells and determined the signaling pathways involved in this process. SFN treatment reduced cell viability. Prior to cell death, intracellular reactive oxygen species (ROS) were generated at a high rate within a minute of commencing SFN treatment. Pretreatment with antioxidant N-acetylcysteine (NAC) blocked SFN-induced decrease in cell growth. Erk1/2 was activated within 30 min of SFN addition, whereas Akt phosphorylation did not significantly change until the first 8 hr after SFN treatment but then became substantially low until 48 hr. Inhibition of Erk1/2 phosphorylation attenuated SFN-induced loss of cell viability. Nrf2 protein levels in both nuclear and whole cell lysates were increased by SFN treatment, which was dependent on ROS production. Knockdown of Nrf2 with siRNA attenuated SFN-induced heme oxygenase-1 (HO-1) up-regulation. Induction of the Nrf2/HO-1 after SFN treatment was potently suppressed by pretreatment with NAC. Overall, our results indicate that SFN mediates antioxidative and antiproliferative responses by generating ROS in BEAS-2B cells

Endoscopic Treatment of Duodenal Bleeding Caused by Direct Hepatocellular Carcinoma Invasion with an Ethanol Injection

We report a case of a man who developed duodenal bleeding caused by direct hepatocellular carcinoma (HCC) invasion, which was successfully treated with endoscopic ethanol injection. A 57-year-old man with known HCC was admitted for melena and exertional dyspnea. He had been diagnosed with inoperable HCC a year ago. Urgent esophagogastroduodenoscopy (EGD) showed two widely eroded mucosal lesions with irregularly shaped luminal protruding hard mass on the duodenal bulb. Argon plasma coagulation and Epinephrine injection failed to control bleeding. We injected ethanol via endoscopy to control bleeding two times with 14 cc and 15 cc separately without complication. Follow-up EGD catched a large ulcer with necrotic and sclerotic base but no bleeding evidence was present. He was discharged and he did relatively well during the following periods. In conclusion, Endoscopic ethanol injection can be used as a significantly effective and safe therapeutic tool in gastrointestinal tract bleeding caused by HCC invasion

Machine Learning Framework to Identify Individuals at Risk of Rapid Progression of Coronary Atherosclerosis: From the PARADIGM Registry.

Background Rapid coronary plaque progression (RPP) is associated with incident cardiovascular events. To date, no method exists for the identification of individuals at risk of RPP at a single point in time. This study integrated coronary computed tomography angiography-determined qualitative and quantitative plaque features within a machine learning (ML) framework to determine its performance for predicting RPP. Methods and Results Qualitative and quantitative coronary computed tomography angiography plaque characterization was performed in 1083 patients who underwent serial coronary computed tomography angiography from the PARADIGM (Progression of Atherosclerotic Plaque Determined by Computed Tomographic Angiography Imaging) registry. RPP was defined as an annual progression of percentage atheroma volume ≥1.0%. We employed the following ML models: model 1, clinical variables; model 2, model 1 plus qualitative plaque features; model 3, model 2 plus quantitative plaque features. ML models were compared with the atherosclerotic cardiovascular disease risk score, Duke coronary artery disease score, and a logistic regression statistical model. 224 patients (21%) were identified as RPP. Feature selection in ML identifies that quantitative computed tomography variables were higher-ranking features, followed by qualitative computed tomography variables and clinical/laboratory variables. ML model 3 exhibited the highest discriminatory performance to identify individuals who would experience RPP when compared with atherosclerotic cardiovascular disease risk score, the other ML models, and the statistical model (area under the receiver operating characteristic curve in ML model 3, 0.83 [95% CI 0.78-0.89], versus atherosclerotic cardiovascular disease risk score, 0.60 [0.52-0.67]; Duke coronary artery disease score, 0.74 [0.68-0.79]; ML model 1, 0.62 [0.55-0.69]; ML model 2, 0.73 [0.67-0.80]; all P<0.001; statistical model, 0.81 [0.75-0.87], P=0.128). Conclusions Based on a ML framework, quantitative atherosclerosis characterization has been shown to be the most important feature when compared with clinical, laboratory, and qualitative measures in identifying patients at risk of RPP