The Staff is More Important than the Price: A Study of the Consumer Loyalty Model in a Coffee Shop in Korea

The market of a coffee shop has matured and competition among coffee shops has gotten fierce in Asia. In Korea, the number of take-out coffee shops has increased by 21.6% per year since Starbucks launched in 1999. Sustaining customer loyalty has been regarded as an effective strategy for the profitability enhancement of companies in the maturity stage. Since loyalty has been defined in both behavioral and attitudinal perspective, attitudinal loyalty was measured by repurchase intention of each brand and behavior loyalty was measured by repurchase behaviors (Olsen, 2002; Yi & La, 2004). This study aims to analyze both attitudinal and behavior loyalty of coffee shop and to establish effective strategies to improve customer loyalty

Brain-Driven Representation Learning Based on Diffusion Model

Interpreting EEG signals linked to spoken language presents a complex challenge, given the data's intricate temporal and spatial attributes, as well as the various noise factors. Denoising diffusion probabilistic models (DDPMs), which have recently gained prominence in diverse areas for their capabilities in representation learning, are explored in our research as a means to address this issue. Using DDPMs in conjunction with a conditional autoencoder, our new approach considerably outperforms traditional machine learning algorithms and established baseline models in accuracy. Our results highlight the potential of DDPMs as a sophisticated computational method for the analysis of speech-related EEG signals. This could lead to significant advances in brain-computer interfaces tailored for spoken communication

Evidence-based hyponatremia management in liver disease

Hyponatremia is primarily a water balance disorder associated with high morbidity and mortality. The pathophysiological mechanisms behind hyponatremia are multifactorial, and diagnosing and treating this disorder remains challenging. In this review, the classification, pathogenesis, and step-by-step management approaches for hyponatremia in patients with liver disease are described based on recent evidence. We summarize the five sequential steps of the traditional diagnostic approach: 1) confirm true hypotonic hyponatremia, 2) assess the severity of hyponatremia symptoms, 3) measure urine osmolality, 4) classify hyponatremia based on the urine sodium concentration and extracellular fluid status, and 5) rule out any coexisting endocrine disorder and renal failure. Distinct treatment strategies for hyponatremia in liver disease should be applied according to the symptoms, duration, and etiology of disease. Symptomatic hyponatremia requires immediate correction with 3% saline. Asymptomatic chronic hyponatremia in liver disease is prevalent and treatment plans should be individualized based on diagnosis. Treatment options for correcting hyponatremia in advanced liver disease may include water restriction; hypokalemia correction; and administration of vasopressin antagonists, albumin, and 3% saline. Safety concerns for patients with liver disease include a higher risk of osmotic demyelination syndrome

Chlorin e6 Prevents ADP-Induced Platelet Aggregation by Decreasing PI3K-Akt Phosphorylation and Promoting cAMP Production

A number of reagents that prevent thrombosis have been developed but were found to have serious side effects. Therefore, we sought to identify complementary and alternative medicinal materials that are safe and have long-term efficacy. In the present studies, we have assessed the ability of chlorine e6 (CE6) to inhibit ADP-induced aggregation of rat platelets and elucidated the underlying mechanism. CE6 inhibited platelet aggregation induced by 10 µM ADP in a concentration-dependent manner and decreased intracellular calcium mobilization and granule secretion (i.e., ATP and serotonin release). Western blotting revealed that CE6 strongly inhibited the phosphorylations of PI3K, Akt, c-Jun N-terminal kinase (JNK), and different mitogen-activated protein kinases (MAPKs) including extracellular signal-regulated kinase 1/2 (ERK1/2) as well as p38-MAPK. Our study also demonstrated that CE6 significantly elevated intracellular cAMP levels and decreased thromboxane A2 formation in a concentration-dependent manner. Furthermore, we determined that CE6 initiated the activation of PKA, an effector of cAMP. Taken together, our findings indicate that CE6 may inhibit ADP-induced platelet activation by elevating cAMP levels and suppressing PI3K/Akt activity. Finally, these results suggest that CE6 could be developed as therapeutic agent that helps prevent thrombosis and ischemia

Pengaruh pemberian reward terhadap peningkatan motivasi belajar pendidikan agama Islam kelas X-2 SMA Mujahidin Perak Surabaya

Alat pembelajaran merupakan suatu teknik untuk mencapai tujuan. Dengan adanya berbagai teknik pembelajaran diharapkan kegiatan belajar mengajar dapat berjalan sesuai dengan tujuan pendidikan, namun dalam kenyataannya masih ada siswa yang tidak fokus pada pelajaran, untuk itu diperlukan dorongan yang sesuai dan dapat meningkatkan motivasi belajar siswa. Adapun salah satu cara yang digunakan untuk mendorong agar para siswa lebih termotivasi untuk mencapai tujuan pembelajaran adalah dengan diterapkannya reward, dengan menerapkan reward diharapkan dapat meningkatkan motivasi belajar siswa, karena dengan adanya reward akan menciptakan suasana belajar yang menyenangkan dalam proses belajar mengajar. Pemberian reward ini dapat menimbulkan motivasi sehingga siswa akan antusias dalam belajar materi Pendidikan Agama Islam. Dalam kegiatan belajar mengajar memang perlu siswa itu diberi reward sebagai salah satu pengehargaan bagi mereka yang berprestasi dalam proses pembelajaran. Tujuan penelitian ini adalah untuk mengetahui bagaimana penerapan reward pada mata pelajaran Pendidikan Agama Islam, bagaimana motivasi belajar siswa pada mata pelajaran Pendidikan Agama Islam, serta adakah pengaruh reward terhadap peningkatan motivasi belajar Pendidikan Agama Islam siswa kelas X-2 SMA Mujahidin Perak Surabaya. Untuk mengetahui pengaruh pemberian reward terhadap peningkatan motivasi belajar Pendidikan Agama Islam di SMA Mujahidin Perak Surabaya, penulis menggunakan metode regresi linear sederhana yang dibantu dengan program spss, serta dengan menggunakan metode dokumentasi, angket,interview dan observasi. Adapun metode analisis yang digunakan adalah analisis data dengan melaksanakan uji validitas, uji reliabilitas dan uji t dengan taraf signifikansi 5%. Hasil penelitian dari analisis data yang diperoleh dari hasil penelitian mengenai pengaruh reward terhadap peningkatan motivasi belajar Pendidikan Agama Islam mempunyai pengaruh yang signifikan untuk meningkatkan motivasi belajar Pendidikan Agama Islam yaitu sebesar 60,2%

Improved Correction of Atmospheric Pressure Data Obtained by Smartphones through Machine Learning

A correction method using machine learning aims to improve the conventional linear regression (LR) based method for correction of atmospheric pressure data obtained by smartphones. The method proposed in this study conducts clustering and regression analysis with time domain classification. Data obtained in Gyeonggi-do, one of the most populous provinces in South Korea surrounding Seoul with the size of 10,000 km2, from July 2014 through December 2014, using smartphones were classified with respect to time of day (daytime or nighttime) as well as day of the week (weekday or weekend) and the user’s mobility, prior to the expectation-maximization (EM) clustering. Subsequently, the results were analyzed for comparison by applying machine learning methods such as multilayer perceptron (MLP) and support vector regression (SVR). The results showed a mean absolute error (MAE) 26% lower on average when regression analysis was performed through EM clustering compared to that obtained without EM clustering. For machine learning methods, the MAE for SVR was around 31% lower for LR and about 19% lower for MLP. It is concluded that pressure data from smartphones are as good as the ones from national automatic weather station (AWS) network

Chfr is linked to tumour metastasis through the downregulation of HDAC1

Chfr is a ubiquitin ligase that functions in the mitotic checkpoint by delaying entry into metaphase in response to mitotic stress. It has been suggested that Chfr is a tumour suppressor as Chfr is frequently silenced in human cancers. To better understand how Chfr activity relates to cell-cycle progression and tumorigenesis, we sought to identify Chfr-interacting proteins using affinity purification combined with mass spectrometry. Histone deacetylase 1 (HDAC1), which represses transcription by deacetylating histones, was newly isolated as a Chfr-interacting protein. Chfr binds and downregulates HDAC1 by inducing its polyubiquitylation, both in vitro and in vivo. Ectopic expression of Chfr in cancer cells that normally do not express it results in downregulation of HDAC1, leading to upregulation of the Cdk inhibitor p21^(CIP1/WAF1) and the metastasis suppressors KAI1 and E-cadherin. Coincident with these changes, cells arrest in the G1 phase of the cell cycle and become less invasive. Collectively, our data suggest that Chfr functions as a tumour suppressor by regulating HDAC1