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Sustainability in tourism has become one of the concerns of the travel industry. More research is required to establish a scientific basis for Sustainable Tourism (ST). In order to develop the field structure on sustainable tourism from 2013 to 2023, the study examines the existing situation using bibliometric analysis. The 'Scopus' database was explored on the 'sustainable tourism' theme in order to achieve the goal. The original search yielded a total of 701 papers, which were subsequently filtered to 619 documents. For the articles relating to ST, the most cited papers, significant authors, co-citation of references, and sources were all looked into. This study found that research into sustainable tourism has grown recently. Three research with 1512 citations were found by the authors, and they also found two publications with over 500 'Scopus' citations. The study highlights the gap and identifies the conceptual sub-domains, such as biodiversity, economic, environmental issues, and local community engagement, which might be crucial in subsequent studies.

The emergence of the food service industry is among the most promising sectors that open many great opportunities for its development. Restaurants are also a part of the world’s economy. This is reflected in the increasing demand for high-quality, upscale dining experiences. The restaurant industry is well-positioned for future growth. However, few researchers have explored the impact of restaurant attributes on overall customer satisfaction and behavioural intentions in the context of fine dining restaurants. This study investigates how restaurant attributes influence overall satisfaction and behavioural intentions in an emerging economy such as India. To explore this relationship, we adopted the Stimulus-Organism-Response (SOR) theory proposed by Mehrabian and Russell (1974) [1]. The results show that restaurant attributes can lead to higher customer satisfaction rates, benefiting the industry. Restaurant attributes also play an essential role in creating a positive customer dining experience. Restaurant attributes help provide thoughtful customer service, such as assisting with menu items, remembering customers’ names, or providing helpful suggestions, which can also show customers that they are valued.

[This corrects the article DOI: 10.1371/journal.pone.0319948.].

Pediatric acute liver failure (PALF) is a complex, rapidly progressive clinical syndrome and final common pathway for many disparate conditions, some known and unknown. Hepatitis A is an important cause of PALF in tropical countries. At times hepatitis A coinfection with other hepatotropic viruses or other infectious diseases (ID) like malaria, typhoid fever, leptospirosis also presents as acute hepatitis or ALF posing diagnostic challenge. Scrub typhus (ST) have specific treatment available but requires high index of suspicion and early initiation of therapy to reduce complications and mortality. We present a case of acute viral liver failure coinfected with scrub typhus.

The immobilization of Aspergillus niger Lipase (E.C.3.1.1.3) via covalent binding on epoxy-activated chitosan-coated silver oxide nanoparticles (Ag 2 O/Chitosan) under optimized conditions was studied. Ultraviolet–visible spectroscopy, Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction spectral analysis (XRD), Transmission electron microscopy (TEM), Field-emission scanning electron microscopy (FE-SEM), and energy-dispersive X-Ray Microanalysis (EDAX) were employed to characterize the size, structural composition, crystallinity, surface morphologies, & percentage elemental composition of prepared Ag 2 O NPs & Ag 2 O/Chitosan nanocomposites. Optimal immobilization conditions (coupling time (16 h), pH (7.8), activating agent concentration (4% v/v), enzyme concentration (0.6 mg/ml)) were evaluated to acquire maximum expressed activity of bound lipases. The optimum catalytic activity of immobilized & solubilized lipases was exhibited at pH 8.5, 60 °C, and pH 7.0, 45 °C respectively. Thermal stability of immobilized lipases (Ag 2 O/Chitosan-EPI@Lip) preserved 76.47% of catalytic activity at 60 °C after 2 h of incubation while solubilized lipases retained only 40.51% of catalytic activity under similar conditions. Kinetic parameters (K m , V max ) of immobilized (39.69 µM, 21.32 µM/min) & native lipase (34.12 µM, 21.83 µM/min) were determined, demonstrating the enhanced efficacy of lipase after immobilization. Moreover, bound lipases exhibited remarkable reusability and storage stability. Thus, the present methodology suggests that (Ag 2 O/Chitosan-EPI@Lip) bioconjugate would be a potential biocatalyst for promoting sustainable productions & advanced technologies. Graphical Abstract

Coronavirus disease 2019 (COVID‐19) causes abnormalities in the hemostatic system, collectively known as COVID‐associated coagulopathy. The dynamics of clot formation are best discerned by whole‐blood viscoelastic tests, such as thromboelastography (TEG). We aimed to assess the various abnormalities seen on TEG and explored the predictors of outcomes in these patients. Thromboelastography was performed for 28 patients with COVID‐19 using an automated thromboelastogram. The hemostatic condition was categorized as hypercoagulable in 17 (63%), hypocoagulable in 2 (7%), and normal in 8 (30%) based on TEG variables, such as reaction time , time until clot reaches a fixed strength, alpha angle, maximum amplitude, and clotting index. Laboratory parameters and clinical outcomes were compared between hypercoagulable and normal groups. Twenty‐seven patients with a median age of 50 years (interquartile range, 40‐60 years), male‐to‐female ratio of 0.9:1, median C‐reactive protein of 25.7 (10.9‐108.8) mg/L, serum ferritin of 693 (317‐1031) µg/L, and albumin 2.9 (2.6‐3.3) g/dL were included. The median prothrombin time/international normalized ratio and activated partial thromboplastin time were within normal range in the hypercoagulable and normal groups. The severity of COVID‐19 was mild in 6 (22.2%), moderate in 2 (7.4%), and severe in 19 (70.4%) patients. Twenty‐eight‐day mortality among patients with hypocoagulable and hypercoagulable states was higher than normal coagulation status. (log‐rank test, P = .002). Hypercoagulable state, together with a severe inflammatory state, is common in patients with COVID‐19, despite thromboprophylaxis. TEG assesses coagulation status better than conventional coagulation tests. Coagulation abnormalities are associated with poor outcomes.

Avascular necrosis (AVN) of the femoral head is a rare complication related to glucocorticoid administration and traditionally has been associated with high doses and/or prolonged therapy. Occurrence of osteonecrosis with a physiological replacement dose of glucocorticoids has not been reported previously. We report a 38-year-old man with non-secreting pituitary adenoma who developed bilateral AVN while on a very small dose of oral prednisolone for secondary adrenal insufficiency after surgery for pituitary adenoma. The patient was switched to hydrocortisone. Zolindronic acid was administered and the patient underwent bilateral core decompressive surgery resulting in a reduction of hip pain and improvement. When last evaluated, 2 years after diagnosis of AVN, the patient was functionally independent, and was able to do his routine activities with mild pain. The report intends to highlight the occurrence of AVN of the femur even with a very small dose of prednisolone used for treatment of panhypopituitarism. Glucocorticoids may have to be continued in the lowest possible dose using the most physiological preparation such as hydrocortisone when stoppage is not possible.

Fuzzy time series models have been put forward for rice production from many researchers around the globe, but the prediction has not been very accurate. Frequency density or ratio based partitioning methods have been used to represent the partition of discourse. We observed that various prediction models used 7th interval based partitioning for their prediction models, so we wanted to find the reason for that and along with finding the explanation for that we have proposed a novel algorithm to make predictions easy. We have tried to provide an explanation for that. This paper has been put forth due to the motivation from previously published research works in prediction logics. In the current paper, we use a fuzzy time series model and provide a more accurate result than the methods already existent. To make such predictions, we have used interval based partitioning as the partition of discourse and actual production as the universe of discourse. Fuzzy models are used for prediction in many areas, like enrolments prediction, stock price analysis, weather forecasting, and rice production.

The contralateral healthy adrenal in patients undergoing unilateral adrenalectomy for Cushing′s is known to be suppressed temporarily and forms the basis of peri and postoperative steroids. We present four cases of Cushing′s who had prolonged adrenal insufficiency with continued requirement for steroids for periods ranging 1-4 years after unilateral adrenalectomy for Cushing′s. We further review literature regarding the recovery of the hypothalamo pituitary adrenal axis postsurgery in patients with Cushing′s syndrome.