Miracle-dz/UniFAR-FTUs huggingface dataset:
latent class analysis on internet and smartphone addiction in college students

Purpose: This study aimed to classify distinct subgroups of people who use both smartphone and the internet based on addiction severity levels. Additionally, how the classified groups differed in terms of sex and psychosocial traits was examined. Methods: A total of 448 university students (178 males and 270 females) in Korea participated. The participants were given a set of questionnaires examining the severity of their internet and smartphone addictions, their mood, their anxiety, and their personality. Latent class analysis and ANOVA (analysis of variance) were the statistical methods used. Results: Significant differences between males and females were found for most of the variables (all P , 0.05). Specifically, in terms of internet usage, males were more addicted than females ( P , 0.05); however, regarding smartphone, this pattern was reversed ( P , 0.001). Due to these observed differences, classifications of the subjects into subgroups based on internet and smartphone addiction were performed separately for each sex. Each sex showed clear patterns with the three-class model based on likelihood level of internet and smartphone addiction ( P , 0.001). A common trend for psychosocial trait factors was found for both sexes: anxiety levels and neurotic personality traits increased with addiction severity levels (all P , 0.001). However, Lie dimension was inversely related to the addiction severity levels (all P , 0.01). Conclusion: Through the latent classification process, this study identified three distinct internet and smartphone user groups in each sex. Moreover, psychosocial traits that differed in terms of addiction severity levels were also examined. It is expected that these results should aid the understanding of traits of internet and smartphone addiction and facilitate further study in this field.
Optical, magnetic, and photoluminescence properties of Cr/Mn-doped ZnO nanoparticles synthesised by solution combustion method

In this study, we investigated the structural, optical, photoluminescence, and magnetic characteristics of pristine and Cr/Mn-doped ZnO nanoparticles prepared via the solution combustion method. The prepared nanoparticles exhibited a monophasic hexagonal structure. The successful incorporation of Cr/Mn elements into the ZnO lattice is reflected in the X-ray photoelectron spectroscopy, UV-vis. absorbance spectroscopy and Fourier-transform infrared spectroscopy measurements. Further, the photoluminescence intensity of ZnO nanoparticles changed upon Cr/Mn-doping due to the changed defect structure of nanoparticles. Furthermore, both pristine and Cr/Mn-doped ZnO nanoparticles revealed the ferromagnetic behaviour, wherein the doping of Cr/Mn enhanced the ferromagnetic characteristics. Overall, our results divulged that doping ZnO nanoparticles with appropriate combination of transition elements would leads to unearth fascinating optical and magnetic properties.
Smartphone-Based Cardiac Rehabilitation Program Improves Functional Capacity in Coronary Heart Disease Patients: A Systematic Review and Meta-Analysis

Cardiac rehabilitation (CR) reduces mortality and morbidity in coronary heart disease (CHD); however, patients show a lack of adherence to CR. Alternatively, telehealth interventions have shown promising results for improving target outcomes in CR. This study aimed to review the effect of smartphone-based CR on the functional capacity of CHD patients. A literature search was performed using PubMed, MEDLINE, Embase, and Cochrane Library on 21 March, 2022 to find randomised controlled trials on smartphone usage in CR to improve functional capacity. Outcomes included maximal oxygen consumption (VO2 max), a 6-min walk test (6-MWT), quality of life, smoking cessation, and modifiable risk factors. Eleven trials recruiting CHD patients were reviewed. Wearable devices connected to smartphone- or chat-based applications were commonly used for CR delivery. Most trials managed to provide exercise prescriptions, education on medication adherence and controlling risk factors, and psychosocial counselling through the intervention. Functional capacity improved significantly following smartphone-based CR in CHD patients compared to control groups, as measured by VO2 max and 6-MWT; patients were more likely to quit smoking. Compared to traditional care, smartphones that delivered CR to CHD patients demonstrate superior outcomes regarding increasing functional capacity. There is no significant improvement on lipid profile, blood pressure, HbA1C, body mass index, and quality of life. It can be used either alone or as an adjunct. Ultimately, the patients’ preferences and circumstances should be considered.
Profiling Daily Life Performance Recovery in the Early Subacute Phase After Stroke Using a Graphical Modeling Approach

Background Laboratory‐based assessments have shown that stroke recovery is heterogeneous between patients and affected domains such as motor and language function. However, laboratory‐based assessments are not ecologically valid and do not necessarily reflect patients' daily life performance. Therefore, we aimed to give an innovative view on stroke recovery by profiling daily life performance recovery across domains in patients with early subacute stroke and determine their interrelatedness, taking stroke localization into account. Methods and Results Daily life performance was observed at neurorehabilitation admission and weekly thereafter until discharge, using a scale containing 7 daily life domains. Graphical modeling was applied to investigate the conditional independence between recovery of these domains depending on stroke localization. There were 592 patients analyzed. Four clusters of interrelated domains were identified within the first 6 weeks poststroke. The first cluster included recovery in learning and applying knowledge, general tasks and demands, and domestic life. The second cluster comprised recovery in self‐care and general tasks and demands. The third cluster included recovery in mobility and self‐care; it incorporated interpersonal interactions and relationships in left supratentorial stroke, and learning and applying knowledge in right supratentorial stroke. The final cluster included only communication recovery. Conclusions Daily life recovery dynamics early poststroke show that although impairments in body functions are anatomically determined, their impact on performance is comparable. Second, some, but by no means all, domains show an interrelated recovery. Domains requiring cognitive abilities are especially interrelated and seem to be essential for concomitant recovery in mobility and domestic life.
Implementation Of Lean Management In Improving The Quality Of Hospital Services: Literature Review

Hospitals as labour-intensive and capital-intensive organizations, as well as providing medical and non-medical services require management to increase the efficiency and effectiveness of resources. However, this management must still pay attention to the quality of health services according to service standards and provide benefits for patients. Through Lean Management, continuous improvement can be made by eliminating waste, increasing added value, especially for patients. This is so that the hospital can be the choice of patients to entrust their health. This research is to determine efforts to improve the quality of hospital services using the lean management method. In collecting and synthesizing previous information, this study uses a systematic library research search approach using the PRISMA method. Searches were performed on the Google Scholar and PubMed databases. Articles are limited from 2018-2023, in hospital services and using the Lean Management method. Based on the search results found 1202 articles with 8 copies. From the results of the screening of articles over the last 5 years, 48 ? research titles and abstracts were obtained, then a screening was carried out on the completeness of the selected articles and studies that carried out the process of improving service quality from the results of the Lean Management approach. Efforts to improve quality using the Lean Management method are focused on increasing Value Added activities by reducing Non Value Added activities. Lean Management is considered effective in efforts to improve quality by maximizing existing resources. Through a number of studies obtained, hospitals that implement Lean Management benefit by identifying sources of waste. So that it can be input for the Hospital to focus on efforts to improve these units by reducing waste and increasing VAR (Value Added Ratio), so as to create quality services that meet patient expectations.
Experimental versus simulated secondary scan patterns produced by a pair of Risley prisms

Devices with a pair of rotational Risley prisms are one of the most common and fastest 2D laser scanners. The present work builds on the novel, graphical method we have developed [Proc. of the Romanian Acad. Series A 19, 2018; Applied Sciences 11, 2021; Symmetry 15, 2023] to simulate and study scan patterns of such devices. Our method has the advantage to generate exact patterns, in contrast to approximate methods. Also, it is easy to use, in contrast to analytical methods. This graphical approach allows for fulfilling the aim of this work: to utilize ghost rays (which are usually avoided in optical systems) in order to increase the fill factor (FF) of scan patterns. Thus, secondary scan patterns are produced and studied. A radiometric threshold is set for such patterns – to maintain the emerging flux from the prisms above a certain minimum level. With this condition, three useful secondary ray trajectories can be identified through the system. One of the four possible configurations of this type of scanner is considered in this study. Dimensions and characteristics of the secondary scan patterns are pointed out, in comparison to the “main” scan pattern, generated when pure refraction is considered throughout the prisms. Simulations, as well as experiments are carried out.
A Survey on Multi-Active Bridge DC-DC Converters: Power Flow Decoupling Techniques, Applications, and Challenges

Multi-port DC-DC converters are a promising solution for a wide range of applications involving multiple DC sources, storage elements, and loads. Multi-active bridge (MAB) converters have attracted the interest of researchers over the past two decades due to their potential advantages such as high power density, high transfer ratio, and galvanic isolation, for example, compared to other solutions. However, the coupled power flow nature of MAB converters makes their control implementation difficult, and due to the multi-input, multi-output (MIMO) structure of their control systems, a decoupling control strategy must be designed. Various control and topology-level strategies are proposed to mitigate the coupling effect. This paper discusses the operating principles, applications, methods for analyzing power flow, advanced modulation techniques, and small signal modelling of the MAB converter. Having explained the origin of cross-coupling, the existing power flow decoupling methods are reviewed, categorized, and compared in terms of effectiveness and implementation complexity.
PROMOSI PERPUSTAKAAN MELALUI MEDIA SOSIAL: HUBUNGAN ANTARA VARIASI KONTEN INSTAGRAM DAN KETERLIBATAN PEMUSTAKA DI PERPUSTAKAAN UNIVERSITAS CIPUTRA SURABAYA

Kondisi pandemi ini membuat interaksi antara perpustakaan dengan pemustaka sangat terbatas. Kondisi pandemi yang berlangsung lama membuat terjadinya lack of interaction atau kurangnya interaksi antara perpustakaan dan pemustaka, sedangkan perpustakaan sendiri memiliki koleksi, layanan, dan program yang dapat dimanfaatkan oleh pemustaka, sehingga diperlukan media komunikasi yang efektif untuk mengkomunikasikannya. Salah satu inovasi yang dilakukan adalah dengan pemanfaatan media sosial Perpustakaan dalam hal ini melalui platform media sosial Instagram. Penelitian ini dilakukan di Perpustakaan Universitas Ciputra Surabaya dan menggunakan metode metode penelitian Deskriptif Eksploratif yang didukung dengan studi literatur. Observasi, studi literatur untuk mendapatkan data variasi konten manakah yang menghasilkan interaksi dan keterlibatan pemustaka. Pengolahan data dilakukan dengan cara mengelompokkan data sesuai jenis konten Instagram yang telah ditentukan pihak pustakawan. Analisa data dilakukan dengan cara deskriptif untuk memperoleh gambaran tentang jenis konten mana yang memiliki tanggapan paling tinggi. Melalui hasil penelitian ini, juga menegaskan bahwa dikarenakan sosial media sendiri bersifat dinamis dan terus berubah, maka Instagram Perpustakaan pun juga harus memiliki konten-konten yang bersifat dinamis dan mengikuti perkembangan tren itu sendiri, agar membuat pemustaka atau audiens semakin tertarik dengan Perpustakaan dan memberi kesan bahwa Perpustakaan adalah tempat dengan informasi yang update dan dekat dengan pemusaka
Seamless mapping of long-term (2010–2020) daily global XCO2 and XCH4 from the Greenhouse Gases Observing Satellite (GOSAT), Orbiting Carbon Observatory 2 (OCO-2), and CAMS global greenhouse gas reanalysis (CAMS-EGG4) with a spatiotemporally self-supervised fusion method

Abstract. Precise and continuous monitoring of long-term carbon dioxide (CO2) and methane (CH4) over the globe is of great importance, which can help study global warming and achieve the goal of carbon neutrality. Nevertheless, the available observations of CO2 and CH4 from satellites are generally sparse, and current fusion methods to reconstruct their long-term values on a global scale are few. To address this problem, we propose a novel spatiotemporally self-supervised fusion method to establish long-term daily seamless XCO2 and XCH4 products from 2010 to 2020 over the globe on grids of 0.25∘. A total of three datasets are applied in our study, including the Greenhouse Gases Observing Satellite (GOSAT), the Orbiting Carbon Observatory 2 (OCO-2), and CAMS global greenhouse gas reanalysis (CAMS-EGG4). Attributed to the significant sparsity of data from GOSAT and OCO-2, the spatiotemporal discrete cosine transform is considered for our fusion task. Validation results show that the proposed method achieves a satisfactory accuracy, with standard deviations of bias (σ) of ∼1.18 ppm for XCO2 and 11.3 ppb for XCH4 against Total Carbon Column Observing Network (TCCON) measurements from 2010 to 2020. Meanwhile, the determination coefficients (R2) of XCO2 and XCH4 reach 0.91 or 0.95 (2010–2014 or 2015–2020) and 0.9 (2010–2020), respectively, after fusion. Overall, the performance of fused results distinctly exceeds that of CAMS-EGG4, which is also superior or close to those of GOSAT and OCO-2. In particular, our fusion method can effectively correct the large biases in CAMS-EGG4 due to the issues from assimilation data, such as the unadjusted anthropogenic emission inventories for COVID-19 lockdowns in 2020. Moreover, the fused results present coincident spatial patterns with GOSAT and OCO-2, which accurately display the long-term and seasonal changes in globally distributed XCO2 and XCH4. The daily global seamless gridded (0.25∘) XCO2 and XCH4 from 2010 to 2020 can be freely accessed at https://doi.org/10.5281/zenodo.7388893 (Wang et al., 2022a).
Proximal aorta dilatation in hypertension

Dilation of the proximal aorta is a common clinical manifestation in hypertensive patients. Although it is straightforward to link hypertension with proximal aortic dilation, previous studies on their interrelation have yielded controversial results. Cross-sectional design, methodology of blood pressure assessment, confounding factors like medications, and inconsistent reference values may lead to the paradoxical conclusions. Recently, advances have been made in the exploration of determinants and clinical value of proximal aortic dilatation. Thus, we reviewed these findings and summarized that aortic dilatation may be the consequence of hemodynamic and nonhemodynamic co-factors’ combined action. Moreover, proximal aortic dilatation tends to be a predictor for aortic aneurysm dissection or rupture, hypertensive target organ damage as well as cardiovascular events. The present review contributes to a comprehensive understanding of the pathological process of proximal aortic dilatation in hypertension.
Remote sensing of terrestrial non-photosynthetic vegetation using hyperspectral, multispectral, SAR, and LiDAR data

Quantifying non-photosynthetic vegetation (NPV) is important for ecosystem management and studies on climate change, ecology, and hydrology because it controls uptake of carbon, water, and nutrients together with frequency and intensity of natural fire, and serves as wildlife habitat. The ecological importance of NPV has driven considerable research on quantitatively estimating NPV in diverse ecosystems including croplands, forests, grasslands, savannah, and shrublands using remote sensing data. However, a comprehensive review is not available. This review highlights the theoretical bases and the critical elements of remote sensing for NPV estimation, and summarizes research on estimating fractional cover of NPV (NPV cover) and biomass using passive optical hyperspectral and multispectral remote sensing data, active synthetic aperture radar (SAR) and light detection and ranging (LiDAR), and integrated multi-sensorial data. We also discuss advantages and disadvantages of optical, LiDAR, and SAR data and pinpoint future direction on NPV estimation using remote sensing data. Currently, most NPV research has been mainly focused on NPV cover, not NPV biomass, using passive optical data, while a few studies have used LiDAR data to quantify NPV biomass in forests and SAR data on NPV estimation in croplands and grasslands. In the future, more efforts should be made to estimate NPV biomass and to investigate the best use of hyperspectral, LiDAR, SAR data, and their integration. The upcoming new optical sensor on Sentinel-2 satellites, Radarsat-2 constellation and NovaSAR, technological innovation in hyperspectral, LiDAR, and SAR, and improvements on methodology for information extraction and combining multi-sensorial data will provide more opportunities for NPV estimation.
The need for open data on air quality monitoring in logistically difficult environments

Background Reports from the World Health Organization indicate that approximately seven million people died in 2012 due to the consequences of poor air quality (WHO, 2014). Air pollution is partly linked to lung and heart diseases, asthma and bronchitis. Efforts have been made in terms of policy and data availability in developed nations to help curb air inequality. Though this has not completely eradicated problems of air inequality, remarkable progress seemed to have been made to reduce air pollution in these countries. The same cannot be said for underdeveloped economies, especially countries in the Sub Saharan Africa, where Ghana belongs. The adverse effects of air pollution on health and general well-being in developing economies is alarming; sadly, availability of open data on air quality to enable scientists and individuals to take proactive measures to mitigate the effects of air pollution has become problematic.
A comprehensive rhythmicity analysis of host proteins and immune factors involved in malaria pathogenesis to decipher the importance of host circadian clock in malaria

Background Circadian rhythms broadly impact human health by regulating our daily physiological and metabolic processes. The circadian clocks substantially regulate our immune responses and susceptibility to infections. Malaria parasites have intrinsic molecular oscillations and coordinate their infection cycle with host rhythms. Considering the cyclical nature of malaria, a clear understanding of the circadian regulations in malaria pathogenesis and host responses is of immense importance. Methods We have thoroughly investigated the transcript level rhythmic patterns in blood proteins altered in falciparum and vivax malaria and malaria-related immune factors in mice, baboons, and humans by analyzing datasets from published literature and comprehensive databases. Using the Metascape and DAVID platforms, we analyzed Gene Ontology terms and physiological pathways associated with the rhythmic malaria-associated host immune factors. Results We observed that almost 50% of the malaria-associated host immune factors are rhythmic in mice and humans. Overlapping rhythmic genes identified in mice, baboons, and humans, exhibited enrichment (Q < 0.05, fold-enrichment > 5) of multiple physiological pathways essential for host immune and defense response, including cytokine production, leukocyte activation, cellular defense, and response, regulation of kinase activity, B-cell receptor signaling pathway, and cellular response to cytokine stimulus. Conclusions Our analysis indicates a robust circadian regulation on multiple interconnected host response pathways and immunological networks in malaria, evident from numerous rhythmic genes involved in those pathways. Host immune rhythms play a vital role in the temporal regulation of host-parasite interactions and defense machinery in malaria.
Health hazard evaluation report HETA 90-0365-2415, US Department of the Interior, National Park Service, Yosemite National Park, California

In response to a request from the US Department of the Interior, National Park Service, an investigation was begun into possible hazardous exposures for workers fighting the Arch Rock Fire (SIC-0851) in Yosemite National Park, California. The survey assessed exposure to carbon-monoxide (630080) (CO), sulfur-dioxide (7446095) (SO2), nitrogen-dioxide (10102440), respirable particulate matter, polynuclear aromatic hydrocarbons, volatile organic compounds, aldehydes, and acid gases. Samples of new and washed bandannas, often used for respiratory protection by firefighters, were also measured to determine the pore size. Cross shift changes in lung function, CO levels in exhaled breath, and respiratory and central nervous system symptoms were monitored. The study determined that there was a hazard at the operation, with three CO exposure concentrations being above the adjusted guideline of 21 parts per million (ppm) and two of the 11 exposure concentrations for SO2 being above the NIOSH recommended exposure limit of 2.0 ppm.
Counterfactual Explanation of Image Classifiers to Textual

A.2. Concept Prompting for CAwA2 and CCUB AwA2 CAwA2 has three more concept categories in addition to the six categories of CBRODEN, which we named “size”, “food”, and “abstract”. “Small” and “big” belong to category “size” and we prompted the concept as “A photo of {size} object”. For “food”, we prompted five food-relevant concepts using the template “A photo of object eating {food}”. Category “abstract” includes abstract properties of animals rather than their visual properties, such as “fierce” or “domestic”. Instead of excluding them, we used them by prompting them as “A photo of {abstract} object”. CUB Images and attribute names from the CUB dataset are different from BRODEN and AwA2 in two-fold: 1) The images in the CUB dataset are all images of bird, so we can use a more specific template using “bird” instead of “object”. 2) The attribute names provided by CUB indicate fine-grained appearances of birds and are formatted as “attribute type:attribute value”, e.g., “has back color::green”. Taking the two properties into account, we fixed the source text to “A photo of a bird” and the target text to “A photo of a bird with {attribute value} {attribute type}”. Please note that the prompting for the concepts can be done automatically with the specified templates. B. Reproduce CCE [1] for Quantitative Evaluation