Miracle-dz/UniFAR-FTUs huggingface dataset:
EVA$^{2}$: Event-Assisted Video Frame Interpolation via Cross-Modal Alignment and Aggregation

We consider the problem of event-assisted video frame interpolation (VFI), a new track for VFI, by introducing the <italic>event</italic> data, a novel sensing modality, into the process of generating intermediate frames from low-frame-rate videos. This new track challenges existing methods in two aspects: (1) how to utilize the event data to align boundary keyframes to intermediate ones, especially when there are corruptions in scenes (<italic>e.g.</italic>, non-uniform motion, object occlusions, and illumination changes); (2) how to effectively utilize and aggregate cross-modal information for further mitigating corruptions and refining details. In this paper, we propose a novel <underline>E</underline>vent-assisted <underline>V</underline>FI method with cross-modal <underline>A</underline>lignment and <underline>A</underline>ggregation, termed <underline>EVA<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula></underline>, to address these challenges. First, to handle corruptions during alignment, we devise the cross-modal Event-Guided Alignment (EGA) module, in which the intermediate frames are aligned at both the feature and the image levels. The alignment operation in the EGA module is guided by the offset maps generated from the event data and information extracted from the input boundary keyframes. Second, we propose the cross-modal Event-aware Dynamic Aggregation (EDA) module, in which the event-aware dynamic convolution operation is applied to aggregate the event data with the aligned results adaptively for further improvements. Extensive experiments on both synthetic and real-world datasets validate the effectiveness of our EVA<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula>.
Vaccination Rates of Hospitalized Patients at High Risk of Severe COVID-19: A Single-Center Cross-Sectional Study

We investigated coronavirus disease 2019 (COVID-19) vaccination rate in patients admitted to chronic pulmonary disease, cardiovascular disease, chronic kidney disease, and cancer wards in the third week of April 2022 to determine the immunity level of these vulnerable groups. Compared to the general population, our study subjects had lower vaccination rates, except for higher percentages of boosted individuals in patients with chronic pulmonary disease and cardiovascular disease. This tendency was most pronounced in cancer patients, less than half of whom were boosted. Patients with cancer should be encouraged to complete their COVID-19 vaccination.
A note on the adaptive control of false discovery rates

Summary. The use of a fixed rejection region for multiple hypothesis testing has been shown to outperform standard fixed error rate approaches when applied to control of the false discovery rate. In this work it is demonstrated that, if the original step‐up procedure of Benjamini and Hochberg is modified to exercise adaptive control of the false discovery rate, its performance is virtually identical to that of the fixed rejection region approach. In addition, the dependence of both methods on the proportion of true null hypotheses is explored, with a focus on the difficulties that are involved in the estimation of this quantity.
To the Question of Vitamin D Network in Type 1 Diabetes and Diabetic Nephropathy in Children Nursed in Ukrainian Endocrinology Unit

Background Vitamin D deficiency is a great problem worldwide. Vitamin D plays an essential role in calcium and bone metabolism. Diabetic nephropathy (DN) is a dangerous kidney-related complication of type 1 diabetes (T1D). Aim of the study To evaluate levels of Vitamin D3 in pediatric patients with T1D and DN; to study the dependence between the Vitamin D level and main clinical and laboratory parameters of the disease, that is, duration, complications episodes, albuminuria levels, glomerular filtration rate (GFR). Material and methods A survey of 72 children with T1D and DN aged 3–17 years was done. Complex examination including conventional methods (physical examination, blood pressure measurement, blood tests, study of urinary sediment, renal ultrasound, etc.) was done for all patients. Data was processed using GraphPad Prism 9.0 Software for Windows (USA, San Diego, CA). p-values <. 05 were considered statistically significant. Results Majority of patients from T1D group have normal value of Vitamin D, only 27.7% of children have Vitamin D insufficiency. In contrast, in children from DN group only 16.7% of children have Vitamin D insufficiency and 83.3% have Vitamin D deficiency. Vitamin D serum level negatively correlates with disease duration and albuminuria level in the group with DN. Serum levels of Vitamin D positively correlate with GFR in patients with T1D. Patients with DN who had a duration of T1D for 10 years and more have a higher progression rate to Vitamin D deficiency as compared to those who have a T1D duration of less than 10 years. Conclusions The authors conclude that Vitamin D has a direct relationship with functional disorders with DN, that is, albuminuria, GFR, kidney function. Further investigations of Vitamin D supplementation on different stages of the ND development and progression are needed.
Identifying the Role of Oxidative Stress-Related Genes as Prognostic Biomarkers and Predicting the Response of Immunotherapy and Chemotherapy in Ovarian Cancer

Background Ovarian cancer (OC) is one of the most frequently seen and fatal gynecological malignancies, and oxidative stress (OS) plays a critical role in the development and chemoresistance of OC. Materials and Methods OS-related genes (OSRGs) were obtained from the Molecular Signatures Database. Besides, gene expression profiles and clinical information from The Cancer Genome Atlas (TCGA) were selected to identify the prognostic OSRGs. Moreover, univariate Cox regression, LASSO, and multivariate Cox regression analyses were conducted sequentially to establish a prognostic signature, which was later validated in three independent Gene Expression Omnibus (GEO) datasets. Next, gene set enrichment analysis (GSEA) and tumor mutation burden (TMB) analysis were performed. Afterwards, immune checkpoint genes (ICGs) and the tumor immune dysfunction and exclusion (TIDE) algorithm, together with IMvigor210 and GSE78220 cohorts, were applied to comprehensively explore the role of OSRG signature in immunotherapy. Further, the CellMiner and Genomics of Drug Sensitivity in Cancer (GDSC) databases were also applied in investigating the significance of OSRG signature in chemotherapy. Results Altogether, 34 prognostic OSRGs were identified, among which 14 were chosen to establish the most valuable prognostic signature. The Kaplan-Meier (KM) analysis suggested that patients with lower OS-related risk score had better prognosis. The area under the curve (AUC) values were 0.71, 0.76, and 0.85 in 3, 5, and 7 years separately, and the stability of this prognostic signature was confirmed in three GEO datasets. As revealed by GSEA and TMB analysis results, OC patients in low-risk group might have better immunotherapeutic response, which was consistent with ICG expression and TIDE analyses. Moreover, both IMvigor210 and GSE78220 cohorts demonstrated that patients with lower OS-related risk score were more likely to benefit from anti-PD-1/L1 immunotherapy. In addition, the association between prognostic signature and drug sensitivity was explored. Conclusion According to our results in this work, OSRG signature can act as a powerful prognostic predictor for OC, which contributes to generating more individualized therapeutic strategies for OC patients.
SIMULATION STUDY OF HYDRODYNAMIC CAVITATION IN THE ORIFICE FLOW

Hydrodynamic cavitation is a phenomenon that can be used in the water treatment process. For this purpose, venturis or orifices varying in geometry are used. Studying this phenomenon under experimental conditions is challenging due to its high dynamics and difficulties in measuring and observing the phase transition of the liquid. For this reason, the CFD method was used to study the phenomenon of hydrodynamic cavitation occurring in water flow through the orifice and then analyze flow parameters for different boundary conditions. The research was performed for four different orifice geometries and two defined fluid pressure values at the inlet, based on a computational 2D model of the research object created in Ansys Fluent software. As a result of the numerical simulation, the distribution of fluid velocity and pressure and volume fraction of the gas phase were obtained. A qualitative and quantitative analysis of the phenomenon of hydrodynamic cavitation under the considered flow conditions was conducted for the defined orifice geometries. The largest cavitation zone and thus the largest volume fraction of the gas phase was obtained for the orifice diameter of 2 mm with a sharp increase in diameter. However, the geometry with a linear change in diameter provided the largest volume fraction of the gas phase per power unit.
ADOPTION OF ISLAMIC BANKING IN FINANCIAL SATISFACTION : STUDY ON BANK SYARIAH INDONESIA YOGYAKARTA REGION

The main purpose of this study was to examine the effect of Islamic financial literacy, religiosity, bankreputation, and risk attitude on the adoption of Islamic banking. Examine the mediating role of the adoption ofIslamic banking on the influence of Islamic financial literacy, religiosity, bank reputation, and risk attitude onfinancial satisfaction. The statistical analysis model used mediation regression. The research population was1.033. 264 and the sample was 336 Bank Syariah Indonesia customers in the Jogjakarta region. The samplingtechnique used was random sampling, a data collection method using a questionnaire. The mediationregression analysis tool uses SEM-PLS. The results show that: Islamic financial literacy has a positive effecton the adoption of Islamic banking products. Bank reputation has a positive effect on the adoption of Islamicbanking. Religiosity has a positive effect adoption of Islamic banking. The risk attitude affects the adoption ofIslamic banking. Adoption of Islamic banking mediates the effect of Islamic financial literacy, bankreputation, religiosity, and risk attitude on financial satisfaction. The results of the study add to the literatureand the results of empirical studies of Islamic financial management. Provide recommendations for IslamicBank policies, namely: policies to increase Islamic financial literacy, bank reputation, risk attitude, adoption ofIslamic banking, and financial satisfaction to improve the welfare and performance of the bank.
Femtosecond-laser-induced quasiperiodic nanostructures on TiO2 surfaces

High-spatial frequency, quasiperiodic structures (HSFL, Nanoripples) of 170 nm feature size were induced in rutile-type titanium dioxide surfaces by focused 150 fs Ti:sapphire laser pulses at wavelengths around 800 nm. The ripple formation is distinctly visible for numbers of pulses of N=100–1000. At lower number of pulses (N=10), a significant surface roughening appears instead of ripples which is characterized by randomly meandering nanostructures. These observations confirm an essential contribution of early stage irregular material modifications to the dynamics of quasiperiodic ripple formation. The threshold fluence for ripple generation is estimated on the basis of the conventional theory of laser-induced surface structuring. The decrease in the threshold fluence from 0.34 to 0.24 J/cm2, as it was found for an increase in the number of pulses from N=100 to N=1000, is attributed to a damage accumulation effect. Nanostructuring of spatially extended regions was enabled by utilizing a controlled sample.
Assessing water and energy fluxes in a regional hydrosystem: case study of the Seine basin

While it is well accepted that climate change and growing water needs a ff ect long-term sustainable water resources management, performing accurate simulations of water cycle and energy balance dynamics at regional scale remains a challenging task. Traditional Soil-Vegetation-Atmosphere-Transfer (SVAT) models are used for numerical surface waterandenergysimulations.Thesemodels,byconception,donotaccountforthegroundwaterlower boundarythatpermitsafullhydrosystemrepresentation.Conversely,whileaddressingimportantfea-tures such as subsurface heterogeneity and river–aquifer exchanges, groundwater models often integrate overly simplified upper boundary conditions ignoring soil heating and the impacts of vegetation processes on radiation fluxes and root-zone uptakes. In this paper, one of the first attempts to jointly model water and energy fluxes with a special focus on both surface and groundwater at the regional scale is proposed on the Seine hydrosystem (78,650 km 2 ), which overlays one of the main multi-aquifer systems of Europe. This study couples the SVAT model ORCHIDEE and the process-based hydrological– hydrogeological model CaWaQS, which describes water fluxes, via a one-way coupling approach from ORCHIDEE toward CaWaQS based on the blueprint published by de Marsily et al. [1978]. An original transport library based on the resolution of the di ff usion/advection transport equation was developed in order to simulate heat transfer in both 1D-river networks and pseudo-3D aquifer systems. In addition, an analytical solution is used to simulate heat transport through aquitards and streambeds. Simulated ORCHIDEE surface water and energy fluxes feed fast surface runo ff and slow recharge respectively and then is used as CaWaQS forcings to compute river discharges, hydraulic heads and temperature dynamics through space and time, within each of the hydrosystem compartments. The tool makes it possible to establish a fully consistent water and energy budget over a period of 17 years. It also simulates temperature evolution in each aquifer and evaluates that river thermal regulation mostly relies by order of importance on short wave radiations (109.3 W · m − 2 ), groundwater fluxes (48.1 W · m − 2 ) and surface runo ff (22.7 W · m − 2 ).
Thyroid gland cancer and insulin resistance: a modern view of the problem

Background. The impact of insulin resistance on the probability of increase in thyroid cancer risk has been drawing a lot of attention of researchers lately. This problem is far from being completely solved. Studying this interrelationship may influence the effectiveness of the treatment of the mentioned widespread pathology. Purpose – to review present literature sources on research of interrelationship between insulin resistance and thyroid cancer, and also possible mechanisms of this relationship. Materials and methods. Literature search was performed manually by the keywords (thyroid cancer, insulin resistance, IGF-1, IGF-2, abdominal obesity, increase in body mass index, metformin), and also literature sources from evidential data bases PubMed, Web of Science were reviewed. Metaanalyses, systematic reviews and cohort studies were also taken into account. 148 literature sources were studied in total. The sources, which had been published within the last 10 years, were preferably selected. Results. Insulin resistance is viewed as an important independent factor of development of numerous malignancies. The carcinogenic activity of insulin resistance is caused by the resistance itself, as well as by the metabolic disorders related to it. It has been established that excessive weight and obesity are to a great extent attributed to more aggressive clinical pathological signs of thyroid cancer. Recent research showed a larger volume of thyroid and higher risk of knot forming in patients with insulin resistance. Thus, thyroid cancer is one of the main factors of thyroid transformation. Therapeutic methods of eliminating metabolic syndrome and associated hormonal diseases for prevention and therapy of oncologic diseases are drawing ever-greater scientific interest. The anti-tumor features of metformin and its capability of retarding carcinogenesis are shown in the studies. Conclusions. The given literature analysis has proved that the problem of treating malignant thyroid tumors and their metastasis is caused not only by morphological, cellular and molecular-biological features of the tumor itself, but also by insufficient knowledge about the interrelationship between insulin resistance, abdominal obesity, increase in body mass index, high-calorie diet and reduction of consumption of polyunsaturated fats, harmful impact of environment with molecular changes, specific for thyroid cancer. It is confirmed by a significant increase in thyroid cancer rate, especially papillary histotype, alongside with an increase in obesity rate. The studying of possibilities of decreasing incidence and mortality rates of oncologic pathology when using medications, which stabilize insulin and contribute to a decrease in degree of hyperinsulinemia, one of which is metformin, generates profound interest
Mechanisms of Resistance in Gastroenteropancreatic Neuroendocrine Tumors

Simple Summary Advanced neuroendocrine tumors originating in the intestinal tract and pancreas are treated with biologics that activate somatostatin receptors (lanreotide and octreotide), small molecule drugs that target the mTOR (everolimus) and VEGF and other signaling pathways (sunitinib), chemotherapies (temozolomide, capecitabine, fluorouracil, platinums), and receptor-targeted radionuclides (Lu177-DOTATATE). These treatments eventually fail to control tumor progression, but the mechanisms for therapeutic resistance are poorly understood. We will review preclinical and early clinical studies that provide insight into potential etiologies and new therapies and combinations that may address this resistance. Abstract Gastroenteropancreatic neuroendocrine tumors (GEP-NETs), although curable when localized, frequently metastasize and require management with systemic therapies, including somatostatin analogues, peptide receptor radiotherapy, small-molecule targeted therapies, and chemotherapy. Although effective for disease control, these therapies eventually fail as a result of primary or secondary resistance. For small-molecule targeted therapies, the feedback activation of the targeted signaling pathways and activation of alternative pathways are prominent mechanisms, whereas the acquisition of additional genetic alterations only rarely occurs. For somatostatin receptor (SSTR)-targeted therapy, the heterogeneity of tumor SSTR expression and dedifferentiation with a downregulated expression of SSTR likely predominate. Hypoxia in the tumor microenvironment and stromal constituents contribute to resistance to all modalities. Current studies on mechanisms underlying therapeutic resistance and options for management in human GEP-NETs are scant; however, preclinical and early-phase human studies have suggested that combination therapy targeting multiple pathways or novel tyrosine kinase inhibitors with broader kinase inhibition may be promising.
Experimental Infection of Pigs with Recent European Porcine Epidemic Diarrhea Viruses

Porcine epidemic diarrhea virus (PEDV), belonging to the genus Alphacoronavirus, can cause serious disease in pigs of all ages, especially in suckling pigs. Differences in virulence have been observed between various strains of this virus. In this study, four pigs were inoculated with PEDV from Germany (intestine/intestinal content collected from pigs in 2016) and four pigs with PEDV from Italy (intestine/intestinal material collected from pigs in 2016). The pigs were re-inoculated with the same virus on multiple occasions to create a more robust infection and enhance the antibody responses. The clinical signs and pathological changes observed were generally mild. Two distinct peaks of virus excretion were seen in the group of pigs inoculated with the PEDV from Germany, while only one strong peak was seen for the group of pigs that received the virus from Italy. Seroconversion was seen by days 18 and 10 post-inoculation with PEDV in all surviving pigs from the groups that received the inoculums from Germany and Italy, respectively. Attempts to infect pigs with a swine enteric coronavirus (SeCoV) from Slovakia were unsuccessful, and no signs of infection were observed in the inoculated animals.
I Am the 1 in 10—What Should I Eat? A Research Review of Nutrition in Endometriosis

Endometriosis is a chronic, painful, estrogen-related inflammatory disease that affects approximately 10% of the female population. Endometriosis has a significant negative impact on quality of life. Nutrition may be involved in the development and severity of endometriosis. The purpose of this paper is to discuss in detail the nutritional recommendations for patients with endometriosis. This article discusses the importance of nutrients such as polyphenols, vitamins C, D and E, PUFAs, and iron in the development of endometriosis. Alternative diets, such as the Mediterranean, anti-inflammatory, vegetarian, low-nickel and low-FODMAP diets, have also been presented in the context of their potential beneficial effects on the course of endometriosis.
Exact testing in multivariate regression

An F statistic due to Rao (1951,1973) tests uniform mixed linear restrictions in the multivariateregression model. In combination with a generalization of the Bera-Evans-Savin exact functional relationship between the W, LR, and LM statistics, Rao's F serves to unify a number of exact test procedures commonly applied in disparate empirical literatures. Examples in demand analysis and asset pricing are provided. The availability of exact tests of restrictions in certain nonlinear models when the model is linear under the null, originally explored by Milliken-Graybill (1970), is extended to multivariate regression. Generalized RESET, J-, and Hausman-Wu tests are resented. As an extension of Dufour (1989), bounds tests exist for nonlinear and inequality restrictions. Applications include conservative bound tests for symmetry or negativity of the substitution matrix in demand systems.
Revealing the Work Readines of Fresh Graduates in the Capital City Environment New Country

This study looked at how work readiness for fresh graduates in the capital of the new country, especially fresh graduates in the city of Samarinda. The research was carried out with the aim of determining the work readiness of fresh graduates in finding jobs in the capital of the new country. This type of research is carried out using qualitative research methods using phenomenological methods. The data collection method used in this study was by interviews and observations. The subjects of the study were also determined using purposive sampling techniques. This research also uses data analysis techniques in the form of preparing data, reading the entire data, coding data, applying the results of data coding into several themes to be analyzed, presenting several themes in the form of narratives and interpreting data. The results of this study showed that the four subjects, namely AKP subjects, WDY subjects, JSF subjects, and LND subjects had similar work readiness even though the four subjects had different backgrounds. The main factors of fresh graduate work readiness are interest, knowledge, physical condition, and personality, so that the four subjects are believed to have good work readiness in the new national capital environment.
Algebraic properties of two-dimensional difference operators

We consider the two-dimensional lattice Z 2 with basic vector-periods T\, T2 • The points of the lattice are numbered by pairs of integers η = (ηι,Π2), η + Τ\ = (πι +1,12), η + Τ2 = (ηι,η2 + 1). We shall also use Τι, Τ2 to denote the corresponding shift operators on functions. In the present paper we shall only consider operators with real coefficients. The discretization of the two-dimensional Schrodinger operator on a square lattice, where a vertex interacts with the four nearest neighbours, does not admit transformations of Laplace type. As the author has shown in [1], Appendix 1, we must consider a regular triangular lattice, where a vertex has six nearest neighbours, since the periods Ti, T2, Tf 1 T2, Tf , Tf 1 , TiT2~ l all have the same length. The purely real self-adjoint operator