TRAVEL STRESS AND STRESS-COPING STRATEGIES ADAPTED BY INTERNATIONAL TOURISTS AND TRAVEL ORGANIZATION’S AWARENESS IN BANGKOK

As the Tourism is increasing globally with the rise in number of International tourists every year where travelling has become an inseparable part of lifestyle but the fact cannot be ignored that it may actually cause stress, and rise in anxiety and tension at different phases of travel which may cause negative experience among International tourists. Thus, this study will contribute to the knowledge of source of travel stress, destination factors and how tourists coming to Bangkok manage and reduce it. As the awareness about the travel-related stress is still less so it is necessary to know what the role of travel organizations is in dealing with tourist’s stress problems in Bangkok. Qualitative research method is used for the collection of data and in-depth, semi-structured interviews were conducted during 28th February 2020 to 6th March 2020 with 10 International tourists and 2 travel organizations in Bangkok and for the data analysis constant comparison method was used. Results indicate that travel-related stress arises at the initial stage, which is pre-trip phase, continues with during trip phase, at destination and ends with post trip phase. The stress coping methods adapted by International tourists are social support, relaxation, entertainment, meditation, management of trip, and destination activities such as enjoying nightlife in Bangkok. Also, this study reveals that travel organizations provide destination knowledge, safety measures, travel alternatives, guidelines to staff, address complaints, offer compensation, to help tourist prevent from stressful situation in Bangkok. Keywords: Travel Stress, Stress coping, International Tourist, Travel organization, Bangko

Making peace with the earth: beyond resource, land and food wars - By Vandana Shiva

'When we think of wars in our times, our minds automatically turn to Iraq and Afghanistan, but the bigger war is the on-going war against the earth'. Thus begins Vandana Shiva's alarming exposé of what she believes is an all-out capitalistic assault on Mother Earth. Here, '[t]he global corporate economy based on the idea of limitless growth' is presented as a 'a permanent war economy against the planet and people'—comprising a combination of 'land-grab,' 'water wars,' 'climate wars,' 'forest wars,' and 'seed wars.

DIGITAL CAMPAIGN TRACKING WITH RESPECT TO APPLICATION INFRASTRUCTURE

Digital campaigns are often derailed from their goals due to amiss or often miscalculated aspects of the impact of the campaign on application infrastructure. To mitigate this problem, an approach is described herein which unifies these otherwise disjoint domains of digital marketing and application monitoring analytics. A solution is provided whereby a user may perform capacity planning for upcoming campaigns and perform real time correlation on campaign and infrastructure Key Performance Indicators (KPIs), thus maximizing revenue and optimizing infrastructure cost. Through machine learning algorithms which are running on top of correlated data from both the domains, a plethora of actionable and valuable insights may be unraveled

Solid lipid nanoparticles in cancer therapy

The use of solid lipid nanoparticles in medicine and more specifically drug delivery is set to spread rapidly. Currently many substances are under investigation for drug delivery and more specifically for cancer therapy technology is the latest trend in the cancer therapy. It helps the pharmacist to formulate the product with maximum therapeutic value and minimum or negligible range side effects. Cancer is a class of disorders characterized by abnormal growth of cells that proliferate in an uncontrolled way and a major disadvantage of anticancer drugs is their lack of selectivity for tumor tissue, which causes severe side effects and results in low cure rates. Thus, it is very hard to target the abnormal cells by the conventional method of the drug delivery system. In harmony with these approaches, this review’s basic approach is that the defining features of solid lipid nanoparticles are embedded in their breakthrough potential for patient care. This review article describes the possible way to exploit solid lipid nanoparticle technology to targeted drug therapy in cancer. We looked at the usefulness of solid lipid nanoparticles as a tool for cancer therapy.Keywords: Cancer therapy; Solid lipid nanoparticles; Quantum dots

Solid lipid nanoparticles in cancer therapy

The use of solid lipid nanoparticles in medicine and more specifically drug delivery is set to spread rapidly. Currently many substances are under investigation for drug delivery and more specifically for cancer therapy technology is the latest trend in the cancer therapy. It helps the pharmacist to formulate the product with maximum therapeutic value and minimum or negligible range side effects. Cancer is a class of disorders characterized by abnormal growth of cells that proliferate in an uncontrolled way and a major disadvantage of anticancer drugs is their lack of selectivity for tumor tissue, which causes severe side effects and results in low cure rates. Thus, it is very hard to target the abnormal cells by the conventional method of the drug delivery system. In harmony with these approaches, this review’s basic approach is that the defining features of solid lipid nanoparticles are embedded in their breakthrough potential for patient care. This review article describes the possible way to exploit solid lipid nanoparticle technology to targeted drug therapy in cancer. We looked at the usefulness of solid lipid nanoparticles as a tool for cancer therapy.Keywords: Cancer therapy; Solid lipid nanoparticles; Quantum dots

Multimodal Machine Learning for Automated ICD Coding

This study presents a multimodal machine learning model to predict ICD-10 diagnostic codes. We developed separate machine learning models that can handle data from different modalities, including unstructured text, semi-structured text and structured tabular data. We further employed an ensemble method to integrate all modality-specific models to generate ICD-10 codes. Key evidence was also extracted to make our prediction more convincing and explainable. We used the Medical Information Mart for Intensive Care III (MIMIC -III) dataset to validate our approach. For ICD code prediction, our best-performing model (micro-F1 = 0.7633, micro-AUC = 0.9541) significantly outperforms other baseline models including TF-IDF (micro-F1 = 0.6721, micro-AUC = 0.7879) and Text-CNN model (micro-F1 = 0.6569, micro-AUC = 0.9235). For interpretability, our approach achieves a Jaccard Similarity Coefficient (JSC) of 0.1806 on text data and 0.3105 on tabular data, where well-trained physicians achieve 0.2780 and 0.5002 respectively.Comment: Machine Learning for Healthcare 201

Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI (Nature Medicine, (2022), 28, 5, (924-933), 10.1038/s41591-022-01772-9)

In the version of this article initially published, a list of the DECIDE-AI expert group members and their affiliations was omitted and has now been included in the HTML and PDF versions of the article. *A list of authors and their affiliations appears online

The development and validation of a scoring tool to predict the operative duration of elective laparoscopic cholecystectomy

Background: The ability to accurately predict operative duration has the potential to optimise theatre efficiency and utilisation, thus reducing costs and increasing staff and patient satisfaction. With laparoscopic cholecystectomy being one of the most commonly performed procedures worldwide, a tool to predict operative duration could be extremely beneficial to healthcare organisations. Methods: Data collected from the CholeS study on patients undergoing cholecystectomy in UK and Irish hospitals between 04/2014 and 05/2014 were used to study operative duration. A multivariable binary logistic regression model was produced in order to identify significant independent predictors of long (> 90 min) operations. The resulting model was converted to a risk score, which was subsequently validated on second cohort of patients using ROC curves. Results: After exclusions, data were available for 7227 patients in the derivation (CholeS) cohort. The median operative duration was 60 min (interquartile range 45–85), with 17.7% of operations lasting longer than 90 min. Ten factors were found to be significant independent predictors of operative durations > 90 min, including ASA, age, previous surgical admissions, BMI, gallbladder wall thickness and CBD diameter. A risk score was then produced from these factors, and applied to a cohort of 2405 patients from a tertiary centre for external validation. This returned an area under the ROC curve of 0.708 (SE = 0.013, p  90 min increasing more than eightfold from 5.1 to 41.8% in the extremes of the score. Conclusion: The scoring tool produced in this study was found to be significantly predictive of long operative durations on validation in an external cohort. As such, the tool may have the potential to enable organisations to better organise theatre lists and deliver greater efficiencies in care

Making peace with the earth: beyond resource, land and food wars - By Vandana Shiva

'When we think of wars in our times, our minds automatically turn to Iraq and Afghanistan, but the bigger war is the on-going war against the earth'. Thus begins Vandana Shiva's alarming exposé of what she believes is an all-out capitalistic assault on Mother Earth. Here, '[t]he global corporate economy based on the idea of limitless growth' is presented as a 'a permanent war economy against the planet and people'—comprising a combination of 'land-grab,' 'water wars,' 'climate wars,' 'forest wars,' and 'seed wars.