Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALYSIS OF THE USE OF SOCIAL MEDIA AS A HOTEL CULINARY TREND PROMOTION MEDIA FOR GEN Z

One type of trend that is experiencing rapid development is culinary tourism. Culinary trends make food like a subject and a medium. The high demand for culinary makes this trend have good market prospects, especially for Generation Z. It is necessary to carry out studies related to hotel culinary trends to find out the characteristics and behavioral characteristics of Generation Z so that they can provide references regarding appropriate marketing strategies. An understanding of the nature and characteristics is needed to design messages or content for hotel culinary promotions more effectively. This research was conducted using a quantitative method where the data obtained was obtained from a survey method using online questionnaires through the Google form application. The questions given contain characteristics, sources of information variables, and gen Z behavior variables towards hotel culinary. The target for distributing the questionnaires was Generation Z who came from the island of Java. The distribution of questionnaires is used to measure responses from respondents and facilitate researchers in measuring data. Gen Z respondents in Java are dominated by women, aged 19-21 years, and students. Most of the Gen Z respondents had stayed at a hotel with a frequency of more than 2 times and stayed for 1 to 2 nights. Hotel culinary information is easily obtained through social media and is a consideration for staying at the hotel. Location and price are factors that Gen Z considers when choosing a hotel. The content and aspects that most influence culinary purchases are promos, tastes, and reviews from previous guests. The package menu that is popular with Gen Z is a buffet with a payment method that is often used, namely cash. The promos that are most in demand and affect the purchase of hotel culinary delights for Gen Z are discount vouchers and buy 1 get 1 promo. The hotel's culinary delights for Gen Z are food from Indonesia, coffee or tea drinks, and salty or sweet snacks. Gen Z prefers to make culinary as a basic need to survive and meet the energy needs to be used in daily activities.
The Assessment of Components Affecting Interest in Reusing Video Conferencing Advancement

In the new normal era, the use of video conferencing technology has increased and become a new habit among Indonesians. However, despite a significant increase, the factors influencing the interest in reusing video conferencing technology after the new normal era are still in question. Thus, this study aimed to create a research model to explain factors influencing the interest in reusing video conferencing technology, including perceived ease of use, usefulness, self-efficacy, enjoyment, social influence, facilitating conditions, and user satisfaction. The population in this study was people who live in the Greater Jakarta area, with a total of 320 samples collected using the purposive sampling method through questionnaires on google forms. Then the data was processed using PLS. The results of data analysis using the structural equation modeling method show that self-efficacy and facilitating conditions have a positive effect on perceived ease of use, perceived enjoyment and social influence have a positive effect on perceived usefulness, system quality has a positive effect on user satisfaction, perceived ease of use has a positive effect on perceived usefulness, perceived usefulness has a positive effect on continuance intention, perceived usefulness has a positive effect on user satisfaction, and user satisfaction have a positive effect on continuance intention. However, perceived ease of use has an insignificant effect on continuance intention in reusing video conferencing technology.
Inheritance of Modern Eroded Landform to Palaeo-eroded Landform in the Typical Region of the Loess Plateau

Studying the effect of palaeo-eroded landform of Jurassic and Tertiary stratum in the Loess Plateau on present rock-soil erosion is important to predict the development trend of rock-soil erosion and adopt available measure to prevent them. Three dimensional space data of interface between Jurassic and Tertiary stratum in a basin area are measured by GPS, and the digital elevation model of palaeo-eroded landform is constructed by using those data in order to compare the difference and analyze the relationship between modern eroded landform and palaeo-eroded landform. The result indicates that the recent major erosion trenchs come into being at low-lying of palaeo-eroded erosion plane and their development direction is along the slant direction of eroded slope. That is, their development bases on palaeo-physiognomy. Therefore, inheritance of recent erosion to palaeo-eroded should be considered as a important factor to study and predict recent rock-soil erosion trend. 
Modeling of surface dust concentrations using neural networks and kriging

Creating models which are able to accurately predict the distribution of pollutants based on a limited set of input data is an important task in environmental studies. In the paper two neural approaches: (multilayer perceptron (MLP)) and generalized regression neural network (GRNN)), and two geostatistical approaches: (kriging and cokriging), are using for modeling and forecasting of dust concentrations in snow cover. The area of study is under the influence of dust emissions from a copper quarry and a several industrial companies. The comparison of two mentioned approaches is conducted. Three indices are used as the indicators of the models accuracy: the mean absolute error (MAE), root mean square error (RMSE) and relative root mean square error (RRMSE). Models based on artificial neural networks (ANN) have shown better accuracy. When considering all indices, the most precision model was the GRNN, which uses as input parameters for modeling the coordinates of sampling points and the distance to the proba.
Modeling the summertime atmospheric boundary layer at Dome C, Antarctica

Antarctica is one of the most unique and extreme places on Earth. Climate change has caused warming and melting over many regions of the continent, contributing to sea level rise. In order to better predict future impacts of climate change, observations and modeling experiments continue to study the atmospheric variability and processes occurring at inland and coastal regions across the continent. As a contribution to the GABLS-4 boundary layer study, a single column model vertical resolution sensitivity test was performed using the WRF-SCM at Dome C. The GABLS-4 study serves as motivation for an experiment developing a 10 year atmospheric model summertime climatology over the East Antarctic Plateau using PWRF. General summertime characteristics are discussed, and comparison between model simulations and observational data show temperature and radiation biases in PWRF. A brief comparison between modeled conditions during the GABLS-4 period and 10 year averages during modeled Decembers determines that the GABLS-4 period can be considered typical for the modeled summertime climate at Dome C.
Digital Commons @ East Tennessee State University Digital Commons @ East Tennessee State University

We examined associations between trait hope and preparation for future care needs (PFCN) among 66 older adult primary care patients in western New York. Participants completed a questionnaire assessing PFCN (awareness, information gathering, decision-making, concrete planning, and avoidance), and the Adult Trait Hope Scale. In multivariate regressions, lower hope, particularly less agency, was associated with more awareness of needing care, whereas higher hopefulness, particularly pathways thinking, was associated with increased decision-making and concrete planning. Greater hopefulness appears to be linked to goal-directed planning behaviors, although those with lower hope may actually be more aware of the need for planning. Evidence-based programming that encourages learned hopefulness may contribute to enhanced health planning and decision-making among older adult primary care patients.
Routes of importation and spatial dynamics of SARS-CoV-2 variants during localised interventions in Chile

South America suffered large SARS-CoV-2 epidemics between 2020 and 2022 caused by multiple variants of interest and concern, some causing substantial morbidity and mortality. However, their transmission dynamics are poorly characterised. The epidemic situation in Chile enables us to investigate differences in the distribution and spread of variants Alpha, Gamma, Lambda, Mu and Delta. Chile implemented non-pharmaceutical interventions and an integrated genomic and epidemiological surveillance system that included airport and community surveillance to track SARS-CoV-2 variants. Here we combine viral genomic data and anonymised human mobility data from mobile phones to characterise the routes of importation of different variants into Chile, the relative contributions of airport-based importations to viral diversity versus land border crossings and test the impact of the mobility network on the diffusion of viral lineages within the country. We find that Alpha, Lambda and Mu were identified in Chile via airport surveillance six, four and five weeks ahead of their detection via community surveillance, respectively. Further, some variants that originated in South America were imported into Chile via land rather than international air travel, most notably Gamma. Different variants exhibited similar trends of viral dissemination throughout the country following their importation, and we show that the mobility network predicts the time of arrival of imported lineages to different Chilean comunas. Higher stringency of local NPIs was also associated with fewer domestic viral importations. Our results show how genomic surveillance combined with high resolution mobility data can help predict the multi-scale geographic expansion of emerging infectious diseases. Significance statementGlobal preparedness for pandemic threats requires an understanding of the global variations of spatiotemporal transmission dynamics. Regional differences are important because the local context sets the conditions for the unfolding of local epidemics, which in turn affect transmission dynamics at a broader scale. Knowledge gaps from the SARS-CoV-2 pandemic remain for regions like South America, where distinct sets of viral variants emerged and spread from late 2020 onwards, and where changes in human behaviour resulted in epidemics which differed from those observed in other regions. Our interdisciplinary analysis of the SARS-CoV-2 epidemic in Chile provides insights into the spatiotemporal trends of viral diffusion in the region which shed light on the drivers that can influence future epidemic waves and pandemics.
Usefulness of Lung Ultrasound as a Method for Early Diagnosis of Interstitial Lung Disease in Patients with Rheumatoid Arthritis

Purpose To determine the value of lung ultrasound (LUS) compared to high-resolution computed tomography (HRCT) in the early diagnosis of interstitial lung disease (ILD) in patients with rheumatoid arthritis (RA). Patients and Methods An observational prospective study was performed. Were included patients with respiratory symptoms or/and, patients with crackles in auscultation during medical consultation. All patients underwent to chest X-rays, LUS, HRCT,and respiratory function tests. Results A total of 192 patients with RA were included. Mean disease duration was 16.8 ± 11.1 years. 72% were positive for rheumatoid factor or anti-citrullinated antibodies. Of the total number of subjects, 54.7% had respiratory symptoms. The other patients did not have respiratory symptoms, but they did have had crackles on pulmonary auscultation. B lines > 11.5 on the ROC curve predicted ILD (AUC 0.63; CI 95%: 0.55–0.71; p < 0.003). A DLCO value of <7.13 significantly predicted the presence of ILD (AUC 0.61; 95% CI: 0.52–0.70; p < 0.028). Conclusion The findings of this study suggest that LUS is a valuable tool for the early diagnosis of ILD in patients with RA, and together with DLCO, can adequately predict the presence of ILD in this population. LUS also helps to determine which patients with respiratory symptoms and signs suggestive for ILD are undergo to HRCT.
Impact of REM Sleep Behavior and Sleep Talking on Mortality in Parkinson's Disease

Background REM sleep behavior disorder (RBD) is a prodromal marker for Parkinson’s disease (PD) and other alpha-synucleinopathies. Sleep talking (ST) is an isolated symptom and is frequent in PD and RBD. Here, we investigate the associations of ST and RBD with the mortality of PD patients. Patients and methods A total of 1,500 PD patients were randomly selected from the registry of the Finnish Parkinson’s Association. Of the 855 that participated at baseline, 645 gave permission for follow-up studies. We gathered a completely filled sleep questionnaire and mortality information from 384 subjects. The Nelson-Aalen test and Cox hazard ratios (HR) were used for mortality analyses. Results The mean follow-up time was 4.3 years (0.3-7.0). PD patients with RBD or frequent ST had more non-motor symptoms. Depression, hallucinations, constipation, and excessive daytime sleepiness were more prevalent among subjects with RBD. Subjects with RBD and frequent ST (talking in their sleep ≥ once per week) had increased mortality (HR: 1.90, 95% CI: 1.18-3.06). RBD without frequent ST was not associated with mortality (HR: 0.77, 95% CI: 0.4-1.5). Frequent ST was associated with increased mortality when adjusted for age, PD duration, depression, gender, RBD, BMI, and hallucinations (HR: 2.22, 95% CI: 1.10-4.51). Additionally, age, duration of PD, arterial hypertension, and lower BMI were associated with increased mortality. Male gender, dopaminergic medication, depression, and hallucinations were not significantly associated with mortality. Conclusions RBD with frequent ST and ST alone appear to be risk factors for mortality in PD. Frequent ST may be a sign representing wider neurodegeneration. RBD subjects and frequent sleep talkers demonstrated more non-motor symptoms compared to PD without RBD or ST. Our findings have clinical implications. It remains to be seen if frequent ST indicates a poorer prognosis. Prospective studies are needed to find whether frequent ST is also a risk factor for developing PD.
Development, Reliability and Validity of the Medication Literacy Scale for Parents of Children with Epilepsy

Purpose This study aimed to develop a medication literacy scale for parents of children with epilepsy (MLSPCE) and to test the reliability and validity of the scale. Patients and Methods The pilot scale was formulated based on the concept of medication literacy, the knowledge-attitude-practice model, and relevant literature reviews. It was formed through two rounds of expert consultations using the Delphi method. A survey of 657 parents of children with epilepsy, who were admitted to the neurology department or examined in the neuro-electrophysiological outpatient department of Guangzhou Women and Children Medical Center, using the pilot scale was conducted from October 2021 to January 2022 to test the reliability and validity of the scale questionnaire. The content validity of the scale questionnaire was assessed by consulting 20 neurology nursing, neurology clinician, and nursing education experts. Numbers, percentages, t-test, correlation analysis, Cronbach’s alpha reliability coefficient and factor analysis were used for data analysis. Results The MLSPCE included 34 items in four dimensions. Ten factors were drawn from the explorative factor analysis, with a cumulative variance contribution rate of 62.32%. The content validity index of each item on the 34-item scale was between 0.81 and 1.0, and the scale-content validity index/ average was 0.97. The correlation coefficient between each item and its dimension was between 0.399 and 0.760, the correlation coefficients between dimensions were between 0.150 and 0.382, and the correlation coefficients between each dimension and the total scale were between 0.390 and 0.845. Differences for all comparisons were statistically significant (P < 0.05). Cronbach’s alpha coefficient for the total scale was 0.864, and the split-half reliability of the total scale was 0.923. Conclusion All the statistical procedures performed in the validity and reliability stages of the study showed that MLSPCE is a valid and reliable tool for measuring medication literacy among Chinese parents of children with epilepsy.
Survival Analysis and Correlates with Molecular Epidemiology: 10-Year Retrospective Series of High-Grade Glioma in Pakistan

Introduction: High-grade gliomas are malignant, recurring primary central nervous system (CNS) tumors requiring extensive postoperative chemotherapy and radiation treatment. Isocitrate dehydrogenase (IDH), 1p19q, and ATRX mutations significantly influence survival and response to chemotherapy, as seen in many extensive studies from the Global North. This study aims to report data from the local region regarding progression-free survival and overall survival in light of molecular characteristics. Materials and Methods: A 10-year retrospective series was conducted at the Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan, with 285 patients presenting from 2008 to 2018. Prospective follow-up data was collected, and complete molecular profiles were available for patients presenting from 2010 onwards. Survival analysis was conducted through the Kaplan-Meier method, with log-rank reported. Results: 70.53% (201) of patients were male, with a mean age at diagnosis of 43.33 ± 15.1 years. 265 patients within the cohort completed postoperative radiotherapy, while 141 patients underwent chemotherapy (procarbazine, lomustine, and vincristine, or temozolomide). Mean survival, in months, within the cohort was as follows: glioblastoma (14.1), anaplastic astrocytoma (27.5), and anaplastic oligodendroglioma (39.8). Survival curves showed a lower survival for IDH wild-type (P < 0.0001), ATRX mutated (P = 0.029), and 1p19q non-deleted (P = 0.008) tumors from Pakistan. Discussion: Our findings quantified long-term survival outcomes for high-grade glioma from Pakistan, analyzing the various treatment patterns. Of particular importance, molecular sub-classification significantly predicted survival outcomes for IDH, ATRX, and 1p19 co-deletion mutations. Expanding brain tumor epidemiology will benefit assessing the efficacy of regional oncological centers and establishing standards of care.
Epidemiological Perspectives: A Four-Year Insight Into Hepatitis C Surveillance in the Kingdom of Saudi Arabia

Introduction Hepatitis C is a viral disease caused by the hepatitis C virus (HCV), a member of the Flaviviridae family. This compact, enveloped RNA virus possesses a positive single-stranded genome and can be transmitted through various means, including blood exposure, sexual contact, and vertical transmission. The disease is associated with significant morbidity and mortality, imposing substantial costs on the healthcare system. In Saudi Arabia, HCV is a notifiable disease; however, there is a scarcity of recent reports on HCV trends in the country. This study aims to provide updated insights into the infection patterns of HCV across demographics, regions, and genders in Saudi Arabia. Methods A retrospective analysis was conducted to investigate the epidemiological trends of HCV infection in Saudi Arabia. Data were obtained from the Saudi Ministry of Health (MOH), encompassing the timeframe from 2019 to 2022. A descriptive analysis of HCV infection, organized by year, age group, and gender, was conducted using the data reported to the MOH. Results Between 2019 and 2022, there was a significant decrease of 56.9% in the overall rate of hepatitis C cases in Saudi Arabia. The rate dropped from 9.94 to 4.29 cases per 100,000 people during this period. Males consistently had higher reported cases compared to females, although there was a notable decline in cases for both genders from 2019 to 2022. The highest incidence of HCV was found in individuals aged 45 years and above. However, there was a decline in cases among this age group, with the number dropping from 2,195 cases in 2019 to 946 cases in 2022. In terms of regional variations, Riyadh, Makkah, Jeddah, Alsharqiya, and Taif had the highest incidence of HCV cases. Some regions experienced an increase in cases between 2021 and 2022, particularly Jeddah, Taif, and Al-Ahsaa. Conclusion This study reveals a significant reduction in reported HCV cases in Saudi Arabia from 2019 to 2022. However, gender disparities persist, with males having a higher number of reported cases. There is also a notable decline in HCV cases among children and adolescents, which can be attributed to preventive measures. The findings emphasize the importance of region-specific strategies, as certain areas, such as Riyadh, Makkah, Jeddah, Alsharqiya, and Taif, continue to have a high number of reported cases. Proactive measures, surveillance, and public awareness campaigns remain crucial in addressing HCV as a significant public health challenge in the Kingdom.
Real-World Effectiveness of Fluticasone Furoate/Umeclidinium/Vilanterol Once-Daily Single-Inhaler Triple Therapy for Symptomatic COPD: The ELLITHE Non-Interventional Trial

Purpose Real-life effectiveness data on once-daily single-inhaler triple therapy (odSITT) with the inhaled corticosteroid fluticasone furoate (FF), the long-acting muscarinic antagonist umeclidinium (UMEC), and the long-acting β2-agonist vilanterol (VI) in patients with chronic obstructive pulmonary disease (COPD) are important to complement evidence from well-controlled randomized clinical trials. Effectiveness of odSITT was quantified by assessing health status and symptoms in usual care. Patients and Methods ELLITHE was a single-country (Germany), multicenter, open-label, non-interventional effectiveness study between 2020 and 2022, evaluating the effect of treatment initiation with FF/UMEC/VI 100/62.5/25 µg once-daily via the ELLIPTA inhaler on improvements in clinical outcomes versus baseline in COPD patients. The primary endpoint was the change in the total COPD Assessment Test (CAT) score between baseline and month 12. Key secondary endpoints included change in CAT score over time, occurrence of exacerbations until month 12, changes in forced expiratory volume in one second (FEV1), inhaler adherence, and safety. Results Nine hundred and six patients were included (age 66.6 years, 55.6% male, mean FEV1 52.6% of predicted, mean CAT 21.5 units, 1.4 exacerbations/year pre-study). About 63.9% of patients were escalated from dual therapies, and 18% were switched from multiple-inhaler triple therapies. Reductions in CAT score at month 12 were statistically significant and above the threshold of clinical importance (−2.6 units; p < 0.0001). CAT score also improved at interim visits. CAT improvements were more pronounced in patients with high baseline scores and better inhaler adherence. Exacerbations during follow-up were rare (0.2 events/year) compared to pre-study (1.4 events/year). FEV1 was improved by 93 mL (p < 0.0001). No new safety effects were observed. Conclusion In usual care, treatment with odSITT resulted in significant and clinically relevant improvements of CAT score and FEV1 in COPD patients, regardless of the occurrence of exacerbations. These findings challenge the current guideline recommendations for SITT only in patients experiencing exacerbations.