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The Impact of Credit Concentration on Firm Performance
Fadi Kamal ALFARAJ,Qasem HAMOURI 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.6
This study aimed to identify the impact of credit concentration on the performance of Jordanian commercial banks listed on the Amman Stock Exchange (ASE). The study sample consisted of 13 commercial banks during the period 2010–2019. The results showed that there is no statistically significant impact of credit concentration on financial performance as measured by ROA, ROE, and EPS, while there is a positive and statistically significant impact of bank size on the financial performance as measured by ROA and EPS. Also, there is no statistically significant impact of bank size on financial performance as measured by ROE. The results also showed that there is a negative impact of financial leverage on financial performance as measured by ROA, ROE, and EPS. The study recommended that commercial banks focus on all the elements in evaluating and determining their level of financial performance and work to compare the credit concentration in commercial banks with one another and ensure that a certain percentage of credit concentration exists to maintain the quality of work of these commercial banks and to achieve a high level of financial performance.
Automatic Image Annotation using Possibilistic Clustering Algorithm
Mohamed Maher Ben Ismail,Sara N. Alfaraj,Ouiem Bchir 한국지능시스템학회 2019 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.19 No.4
In this paper, the proposed PCMRM (possibilistic based cross-media relevance model) annotates images based on their visual contents. PCMRM framework relies on unsupervised learning to group the visually similar image regions into homogeneous clusters, along with the cross-media relevance model (CMRM) that is used to estimate the joint distribution of textual keywords and images. Besides, the unsupervised learning task exploits the robustness to noise of a possibilistic clustering algorithm, and generates membership degrees that represent the typicality of image regions with respect to the obtained clusters. To validate and assess the proposed system, we used the standard Corel dataset. PCMRM produced promising results. The reported performance measures proved that the proposed automatic image annotation approach outperforms similar state of the art solutions. This attainment is mainly attributed to the exploitation of the possibilistic membership produced by the clustering algorithm which allowed accurate learning of the association between annotating labels and the visual content of the image regions.
Role of Organizational Climate in Organizational Commitment: The Case of Teaching Hospitals
Mohammad Amin Bahrami,Omid Barati,Malake-sadat Ghoroghchian,Razieh Montazer-alfaraj,Mohammad Ranjbar Ezzatabadi 질병관리본부 2016 Osong Public Health and Research Persptectives Vol.7 No.2
Objective: The commitment of employees is affected by several factors, including factors related to the organizational climate. The aim of this study was to investigate the relationship between organizational commitment of nurses and the organizational climate in hospital settings. Methods: A cross-sectional study was conducted in 2014 at two teaching hospitals in Yazd, Iran. A total of 90 nurses in these hospitals participated. We used stratified random sampling of the nursing population. The required data were gathered using two valid questionnaires: Allen and Meyer’s organizational commitment standard questionnaire and Halpin and Croft’s Organizational Climate Description Questionnaire. Data analysis was done through SPSS 20 statistical software (IBM Corp., Armonk, NY, USA). We used descriptive statistics and Pearson’s correlation coefficient for the data analysis. Results: The findings indicated a positive and significant correlation between organizational commitment and organizational climate (r = 0.269, p = 0.01). There is also a significant positive relationship between avoidance of organizational climate and affective commitment (r = 0.208, p = 0.049) and between focus on production and normative and continuance commitment (r = 0.308, p = 0.003). Conclusion: Improving the organizational climate could be a valuable strategy for improving organizational commitment.
Rasmy, A,Abozeed, W,Elsamany, S,El Baiomy, M,Nashwa, A,Amrallah, A,Hasaan, E,Alzahrani, A,Faris, M,Alsaleh, K,AlFaraj, A Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.7
Background: To investigate the association between preoperative pathological Ki-67 labeling index and serum tumor marker cancer antigen 15-3 (CA 15-3) with clinic-pathological parameters and treatment outcomes in early breast cancer. Materials and Methods: A retrospective study at 4 cancer centers in Saudi Arabia and Egypt was performed. Data were collected for female patients diagnosed with unilateral early breast cancer between March 2010 and October 2013. Cases treated with neoadjuvant chemotherapy (NACT) followed by surgery and radiotherapy were included. NACT included 6-8 cycles of anthracycline and taxane based regimens. Trastuzumab and hormonal treatments were added according to HER2 and hormone receptor status. Baseline serum CA15.3 and pathological Ki67 levels were evaluated and correlated with disease free survival (DFS) and overall survival (OS). Results: A total of 280 pts was included. The median age was 49 years (38-66 y) and median overall survival was 35 (20-38) months (mo). Estrogen receptors (ER), progesterone receptors (PR) and HER 2 receptors were positive in 233 (83.2%), 198 (70%) and 65 cases (23.2%), respectively. High preoperative Ki67 and CA15.3 were noted in 177 (63.2%) and 131 (46.8%). A total of 45 (16%) patients had distal or local recurrence and 24 (8.6%) died of their disease. Most of the relapsed cases had high preoperative Ki-67 (n=41, 91%) and CA15.3 (n=28, 62%) values. All of the patients who died had a high Ki-67 but CA15.3 was high in 9 (37%) only. Mean DFS/OS in patients with high preoperative Ki-67 was 32 months /32 months as compared to 37 months/35 months in those with normal Ki-67 (p<0.001). Correlation of preoperative CA15.3 and survival was statistically not significant. Conclusions:Preoperative Ki-67 can be a predictive and prognostic marker. Higher levels are associated with poor DFS and OS in patients with early BC.