Previous studies on international reconciliation have focused on the security and economic interests of the countries involved, treating reconciliation as an end-goal rather than an ongoing process. This study divides the process of reconciliation into three stages., which refers to the mending of international relations through institutional change, is the most basic. In the phase, the perpetrator provides the victim with economic compensation for inflicting harm. The third stage,, is reached when the perpetrator acknowledges past wrongdoings and when civil and (...) cultural exchanges are carried out smoothly. (shrink)

Background: Infectious disease outbreaks such as COVID-19 and MERS pose a major threat to healthcare workers' physical and mental health. Studies exploring the positive changes gained from adapting to traumatic events, known as post-traumatic growth, have attracted much attention. However, it is unclear which factors or experiences lead to PTG among HCWs. The purpose of this mixed-method study was to investigate factors associated with PTG among HCWs who experienced the MERS outbreak in South Korea, and fully describe their experience of (...) developing PTG.Methods: Quantitative data from 78 participants were collected using psychometric tools for Psychological distress, Resilience, and Support for coping, and Post-traumatic growth. Qualitative interviews were conducted with seven nurses. Data were analyzed using the qualitative content analysis method according to the sub-themes of resilience, which was the main factor associated with PTG.Results: We found resilience to have a significant impact on PTG. Thus the qualitative interviews were analyzed using the core concepts of resilience. Qualitative interviews with nurses illustrated how participants experienced the development of resilience in terms of its sub-factors: hardiness, persistence, optimism, and support.Conclusion: HCWs who endured the MERS outbreak showed high levels of PTG, and the analysis of the interview data provided a fuller understanding on the experience of remaining resilient and developing PTG. These results provide practical and pragmatic information helpful for developing intervention strategies and protocols that can help HCWs transform adversity into growth and development. (shrink)

Background: The complexity and variety of ethical issues in nursing is always increasing, and those issues lead to special concerns for nurses because they have critical impacts on nursing practice. Research objectives: The purpose of this study was to gather comprehensive information about ethical issues in nursing practice, comparing the issues in different types of nursing units including general units, oncology units, intensive care units, operating rooms, and outpatient departments. Research design: The study used a descriptive research design. Ethics/human rights (...) issues encountered by nurses in their daily nursing practice were identified by using the Ethical Issues Scale. Participants: The study sample included 993 staff nurses working in a university hospital in South Korea. Ethical considerations: This study was approved by the University Institutional Review Board. Completed questionnaires were returned sealed with signed informed consent. Findings: The most frequently and disturbingly encountered issues across nursing units were “conflicts in the nurse–physician relationship,” “providing care with a possible risk to your health,” and “staffing patterns that limit patient access to nursing care.” The findings of this study showed that nurses from different nursing units experienced differences in the types or frequency of ethical issues. In particular, intensive care units had the greatest means of all the units in all three component scales including end-of-life treatment issues, patient care issues, and human rights issues. Discussion: Nurses experienced various ethical challenges in their daily practice. Of the ethical issues, some were distinctively and frequently experienced by nurses in a specific unit. Conclusion: This study suggested that identifying and understanding specific ethical issues faced by nurses in their own areas may be an effective educational approach to motivate nurses and to facilitate nurses’ reflection on their experiences. (shrink)

We investigated the pairing of a financial news article prediction system, AZFinText, with sentiment analysis techniques. From our comparisons we found that news articles of a subjective nature were easier to predict in both price direction (59.0% vs 50.4% without sentiment) and through a simple trading engine (3.30% return vs 2.41% without sentiment). Looking into sentiment further, we found that news articles of a negative sentiment were easiest to predict in both price direction (50.9% vs 50.4% without sentiment) and our (...) simple trading engine (3.04% return vs 2.41% without sentiment). Investigating the negative sentiment further, we found that AZFinText was best able to predict price decreases in articles of a positive sentiment (53.5%) and price increases in articles of a negative or neutral sentiment (52.4% and 49.5% respectively). (shrink)

On the philosophy and spiritualism of the Upanishads.

Critical study of theory of Karma in Mimamsa philosophy as set forth in the works of Pārthasārathimiśra, 11th century philosopher.

Study on the contribution of Sarvajñātman to epistemology of Mimamsa philosophy; includes complete text of Pramāṇalakṣaṇa.

Discourses between Ayōttitācar, 1845-1914 and Ma. Ciṅkāravēlu,1860-1946 on Buddhism. These were published in Tamilan̲, Tamil magazine, published between 1907-1914.

With the increasing prevalence of Internet usage, Internet-Delivered Psychological Treatment (IDPT) has become a valuable tool to develop improved treatments of mental disorders. IDPT becomes complicated and labor intensive because of overlapping emotion in mental health. To create a usable learning application for IDPT requires diverse labeled datasets containing an adequate set of linguistic properties to extract word representations and segmentations of emotions. In medical applications, it is challenging to successfully refine such datasets since emotion-aware labeling is time consuming. Other (...) known issues include vocabulary sizes per class, data source, method of creation, and baseline for the human performance level. This paper focuses on the application of personalized mental health interventions using Natural Language Processing (NLP) and attention-based in-depth entropy active learning. The objective of this research is to increase the trainable instances using a semantic clustering mechanism. For this purpose, we propose a method based on synonym expansion by semantic vectors. Semantic vectors based on semantic information derived from the context in which it appears are clustered. The resulting similarity metrics help to select the subset of unlabeled text by using semantic information. The proposed method separates unlabeled text and includes it in the next active learning mechanism cycle. Our method updates model training by using the new training points. The cycle continues until it reaches an optimal solution, and it converts all the unlabeled text into the training set. Our in-depth experimental results show that the synonym expansion semantic vectors help enhance training accuracy while not harming the results. The bidirectional Long Short-Term Memory (LSTM) architecture with an attention mechanism achieved 0.85 Receiver Operating Characteristic (ROC curve) on the blind test set. The learned embedding is then used to visualize the activated word's contribution to each symptom and find the psychiatrist's qualitative agreement. Our method improves the detection rate of depression symptoms from online forum text using the unlabeled forum texts. (shrink)

We here review primary methods used in quantifying and mapping 5‐hydroxymethylcytosine (5hmC), including global quantification, restriction enzyme‐based detection, and methods involving DNA‐enrichment strategies and the genome‐wide sequencing of 5hmC. As discovered in the mammalian genome in 2009, 5hmC, oxidized from 5‐methylcytosine (5mC) by ten‐eleven translocation (TET) dioxygenases, is increasingly being recognized as a biomarker in biological processes from development to pathogenesis, as its various detection methods have shown. We focus in particular on an ultrasensitive single‐molecule imaging technique that can detect (...) and quantify 5hmC from trace samples and thus offer information regarding the distance‐based relationship between 5hmC and 5mC when used in combination with fluorescence resonance energy transfer. (shrink)

A script concordance test was developed as an innovative tool for assessing ethical reasoning ability. An SCT of 12 medical ethical vignettes were constructed from the UNESCO Casebook on Human Dignity and Human Rights. The vignettes were reviewed by a panel of 15 medical experts before administration to a panel of 18 clinicians. The clinician’s answers were used to constitute the scoring key. The SCT was then administered to first and final year medical students. Data were analysed using SPSS. Internal (...) consistency was assessed using Cronbach’s alpha. SCT performance was tested for association with sex, year of study and race by comparing the mean SCT scores between categories within each variable. Internal consistency as measured by Cronbach’s alpha values, ranging from 0.597 to 0.902, indicated high intra-vignette reliability for 10 of the vignettes. Inter-vignette reliability was high at 0.797. Mean SCT scores were not significantly different between students of different gender, year of study and ethnicity. However, each vignette was able to distinguish between overall poor and good test performers. The SCT was able to differentiate between students with varying degrees of ethical reasoning ability. (shrink)

本书在故乡的土地上出现过一代又一代的文化名人和仁人志士而感到骄傲和自豪。书中以文学传记的形式,将他们中杰出人物介绍给广大读者,他们坚韧不拔、克服困难和精神给人以鼓舞,他们各具特色的人生经历和杰出贡献给 人以启发。.

Study on the fundamentals of Vaiśeṣika philosophy as discussed in Ṣaḍdarśanasamuccaya of Haribhadrasūri, 700-770.

Discovering high-utility itemsets (HUIs) consists of finding sets of items that yield a high profit in customer transaction databases. An important limitation of traditional high-utility itemset mining (HUIM) is that only the utility measure is used for assessing the interestingness of patterns. This leads to finding several itemsets that have a high profit but contain items that are weakly correlated. To address this issue, this paper proposes to integrate the concept of correlation in HUIM to find profitable itemsets that are (...) highly correlated, using the all-confidence and bond measures. An efficient algorithm named FCHM (fast correlated high-utility itemset miner) is proposed to efficiently discover correlated high-utility itemsets (CHIs). Two versions of the algorithm are proposed: FCHM|$_{all\text{-}confidence}$| and FCHM|$_{bond}$|⁠, which are based on the all-confidence and bond measures, respectively. An experimental evaluation was done using four real-life benchmark datasets from the HUIM literature: mushroom, retail, kosarak and foodmart. Results show that FCHM is efficient and can prune a huge amount of weakly CHIs. (shrink)