Miracle-dz/UniFAR-FTUs huggingface dataset:
Cross-Modal Supervision-Based Multitask Learning With Automotive Radar Raw Data

With the rapid development of autonomous driving technology, radar sensors play a vital role in the perception system due to their robustness under harsh environmental conditions, exact range and velocity perception capability. However, the state-of-the-art performance of algorithms solely based on radar to achieve various perception tasks, such as classifying road users and infrastructures, still lags far behind expectation. Their failure can mainly be accounted for the extreme sparseness of radar point cloud for objects, low angular resolution, and the issue of ghost targets. In this work, we propose a novel network that employs the complex range-Doppler matrix as input to achieve radar-tailored panoptic segmentation (i.e., free-space segmentation and object detection). Our network surpasses previous works in free-space segmentation and object detection tasks, and the improvement in the former task is especially notable. During training, the segmented camera image with radar customized adaption is utilized as the ground truth. Through such a cross-modal supervision method, the labeling expense is alleviated considerably. Based on it, we further design an innovative camera-radar system concept that is able to automatically train deep neural networks with radar measurement.
CEGH: A Hybrid Model Using CEEMD, Entropy, GRU, and History Attention for Intraday Stock Market Forecasting

Intraday stock time series are noisier and more complex than other financial time series with longer time horizons, which makes it challenging to predict. We propose a hybrid CEGH model for intraday stock market forecasting. The CEGH model contains four stages. First, we use complete ensemble empirical mode decomposition (CEEMD) to decompose the original intraday stock market data into different intrinsic mode functions (IMFs). Then, we calculate the approximate entropy (ApEn) values and sample entropy (SampEn) values of each IMF to eliminate noise. After that, we group the retained IMFs into four groups and predict the comprehensive signals of those groups using a feedforward neural network (FNN) or gate recurrent unit with history attention (GRU-HA). Finally, we obtain the final prediction results by integrating the prediction results of each group. The experiments were conducted on the U.S. and China stock markets to evaluate the proposed model. The results demonstrate that the CEGH model improved forecasting performance considerably. The creation of a collaboration between CEEMD, entropy-based denoising, and GRU-HA is our major contribution. This hybrid model could improve the signal-to-noise ratio of stock data and extract global dependence more comprehensively in intraday stock market forecasting.
A POLYNOMIAL ANALOGUE TO THE STERN SEQUENCE

We extend the Stern sequence, sometimes also called Stern's diatomic sequence, to polynomials with coefficients 0 and 1 and derive various properties, including a generating function. A simple iteration for quotients of consecutive terms of the Stern sequence, recently obtained by Moshe Newman, is extended to this polynomial sequence. Finally we establish connections with Stirling numbers and Chebyshev polynomials, extending some results of Carlitz. In the process we also obtain some new results and new proofs for the classical Stern sequence.
Self-Adaptive Differential Evolution Algorithm Applied to Water Distribution System Optimization

AbstractDifferential evolution (DE) is a relatively new technique that has recently been used to optimize the design for water distribution systems (WDSs). Several parameters need to be determined in the use of DE, including population size, N; mutation weighting factor, F; crossover rate, CR, and a particular mutation strategy. It has been demonstrated that the search behavior of DE is especially sensitive to the F and CR values. These parameters need to be fine-tuned for different optimization problems because they are generally problem-dependent. A self-adaptive differential evolution (SADE) algorithm is proposed to optimize the design of WDSs. Three new contributions are included in the proposed SADE algorithm: (1) instead of pre-specification, the control parameters of F and CR are encoded into the chromosome of the SADE algorithm, and hence are adapted by means of evolution; (2) F and CR values of the SADE algorithm apply at the individual level rather than the generational level normally used by th.
Some Conjectures for Root Systems

We present a collection of conjectures relating to root systems (or, equivalently, to Lie groups) together with the evidence we possess in support of them. They may be regarded as generalizations of Dyson’s conjecture [J. Math. Phys. 3 (1962), pp. 140–156] and Mehta’s conjecture [Random Matrices, Academic Press, New York, 1967].
The Efficacy of Dental Caries Telediagnosis Using Smartphone: A Diagnostic Study in Geriatric Patients

Background and aim The major barrier to oral health care for geriatrics is access to dental care. Teledentistry is the field of dentistry that uses telecommunication with digital imaging for the exchange of valid information for diagnosis, treatment, and continuing dental education, enabling some means of approach to oral health care. This study aimed to assess the accuracy of diagnosing dental caries in the older age group by examining intraoral photographs taken by smartphone camera compared with standard clinical dental examination. Methods and material A calibrated dentist examined 18 patients aged 60-75 for six variables: sound tooth, decayed tooth, filled tooth with and without caries, missing tooth, and the presence of prosthesis. Intraoral photographs of each patient were taken using a smartphone. The photographs were then sent to six different examiners through WhatsApp. The accuracy of the diagnosis was measured by applying Cohen's kappa, sensitivity, and specificity. Fleiss' kappa was used to measure the agreement index using the software R (R Foundation for Statistical Computing, Vienna, Austria) version 4.2. 1. Results The overall agreement between the tele-examiners and the control was measured, with the kappa scores ranging from 0.897 to 0.921, and the mean kappa score was 0.909. There was high specificity and sensitivity in the value observed. The agreement index, measured through Fleiss' kappa for six teeth conditions, reported the perfect agreement (0.867) among six examiners. Conclusions Under the limitations of the study, teledentistry using a mobile phone has acceptable accuracy for diagnosing caries in the older age group compared to a standard clinical dental examination.
Neighbourhood Ethnic Density, Local Language Skills, and Loneliness among Older Migrants—A Population-Based Study on Russian Speakers in Finland

So far, little attention has been paid to contextual factors shaping loneliness and their interaction with individual characteristics. Moreover, the few existing studies have not included older migrants, identified as a group who are vulnerable to loneliness. This study examined the association between neighbourhood ethnic density (the proportion of own-group residents and the proportion of other ethnic residents in an area) and loneliness among older migrants. Furthermore, we investigated whether local language skills moderated this association. A population-based representative survey (The CHARM study, n = 1082, 57% men, mean age 63.2 years) and postal code area statistics were used to study Russian-speaking migrants aged 50 or older in Finland. The study design and data are hierarchical, with individuals nested in postcode areas. We accounted for this by estimating corresponding mixed models. We used a linear outcome specification and conducted logistic and ordinal robustness checks. After controlling for covariates, we found that ethnic density variables (measured as the proportion of Russian speakers and the proportion of other foreign speakers) were not associated with loneliness. Our interaction results showed that increased own-group ethnic density was associated with a higher level of loneliness among those with good local language skills but not among those with weaker skills. Good local language skills may indicate a stronger orientation towards the mainstream destination society and living in a neighbourhood with a higher concentration of own-language speakers may feel alienating for those who wish to be more included in mainstream society.
Exposure to Commonly Used Drugs and the Risk of Gastric Cancer: An Umbrella Review of Meta-Analyses

Simple Summary To date, several systematic reviews and meta-analyses have explored associations between commonly used drugs and gastric cancer (GC) risk, with inconsistent conclusions on relationships and methodological quality. No attempts have been made to quantify the credibility of these findings. Hence, it is necessary to compare the results of individual reviews by looking into existing systematic reviews and meta-analyses, providing an overview of the findings of a particular association. This is the first umbrella review to evaluate the validity and credibility of evidence from previously published systematic reviews and meta-analyses on observational studies and to identify associations between commonly used drugs and GC risk and its subtypes. Abstract Recently, attention has been paid to some medications and gastric cancer (GC) risk. This review aimed to evaluate associations between commonly used drugs and GC risk and to grade evidence from published systematic reviews and meta-analyses. This umbrella review was registered in PROSPERO (CRD42022320276). The systematic reviews and meta-analyses of observational studies were retrieved by searching Embase, PubMed, and Web of Science. The evidence strength of commonly used drugs and GC risk was categorized into four grades: weak, suggestive, highly suggestive, and strong. Of 19 associations between commonly used drugs and GC risk and its subtypes, none was supported by convincing or highly suggestive evidence. The risk of GC related to non-steroidal anti-inflammatory drugs (NSAIDs), non-aspirin NSAIDs, and acid-suppressive drugs, as well as the risk of non-cardia GC related to NSAIDs and aspirin, was supported by suggestive evidence. The results showed that a reduced GC risk was associated with two drug types (NSAIDs and non-aspirin NSAIDs), and an increased GC risk was associated with acid-suppressing drugs at the suggestive evidence level. Moreover, NSAIDs and aspirin reduced non-cardia GC risk as supported by suggestive evidence. However, the evidence supporting statins or metformin in reducing GC risk was weak, and thus future studies are required to clarify these associations.
Ion-molecule syntheses of interstellar molecular hydrocarbons through C4H: toward molecular complexity

The possibility that complex hydrocarbons can be produced in dense interstellar clouds by ion-molecule gas phase reactions is considered in detail. Steady-state calculations indicate that the observed abundances of species such as C/sub 4/H cannot be reproduced via gas phase models unless a large amount of atomic carbon (CI) is present. With an assumed CI fractional abundance of 10/sup -5/, our calculations can reproduce the fractional abundance of C/sub 4/H observed in TMC 1. Thus, in our view, the presence of CI, itself not readily explicable via standard ion-molecule treatments, appears to be necessary to explain the abundances of complex hydrocarbon species.
Multidrug-Resistant Acinetobacter baumannii Infections in the United Kingdom versus Egypt: Trends and Potential Natural Products Solutions

Acinetobacter baumannii is a problematic pathogen of global concern. It causes multiple types of infection, especially among immunocompromised individuals in intensive care units. One of the most serious concerns related to this pathogen is its ability to become resistant to almost all the available antibiotics used in clinical practice. Moreover, it has a great tendency to spread this resistance at a very high rate, crossing borders and affecting healthcare settings across multiple economic levels. In this review, we trace back the reported incidences in the PubMed and the Web of Science databases of A. baumannii infections in both the United Kingdom and Egypt as two representative examples for countries of two different economic levels: high and low–middle income countries. Additionally, we compare the efforts made by researchers from both countries to find solutions to the lack of available treatments by looking into natural products reservoirs. A total of 113 studies reporting infection incidence were included, with most of them being conducted in Egypt, especially the recent ones. On the one hand, this pathogen was detected in the UK many years before it was reported in Egypt; on the other hand, the contribution of Egyptian researchers to identifying a solution using natural products is more notable than that of researchers in the UK. Tracing the prevalence of A. baumannii infections over the years showed that the infections are on the rise, especially in Egypt vs. the UK. Further concerns are linked to the spread of antibiotic resistance among the isolates collected from Egypt reaching very alarming levels. Studies conducted in the UK showed earlier inclusion of high-throughput technologies in the tracking and detection of A. baumannii and its resistance than those conducted in Egypt. Possible explanations for these variations are analyzed and discussed.
Influence of the Coordinated Ligand on the Optical and Electrical Properties in Titanium Phthalocyanine-Based Active Films for Photovoltaics

Tetravalent titanyl phthalocyanine (TiOPc) and titanium phthalocyanine dichloride (TiCl2Pc) films were deposited via the high-vacuum thermal evaporation technique and subsequently structurally and morphologically characterized, to be later evaluated in terms of their optoelectronic behavior. The IR and UV-vis spectroscopy of the films displayed α- and β-phase signals in TiOPc and TiCl2Pc. Additionally, the UV-vis spectra displayed the B and Q bands in the near-UV region of 270–390 nm and in the visible region between 600 and 880 nm, respectively. The films presented the onset gap (~1.30 eV) and the optical gap (~2.85 eV). Photoluminescence emission bands at 400–600 nm and 800–950 nm are present for the films. One-layer ITO/TiCl2Pc or TiOPc/Ag and two-layer ITO/PEDOT:PSS/TiCl2Pc or TiOPc/Ag planar heterojunction devices with poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) deposited by the spin-coating technique were constructed. In these devices, an electrical activation energy between 0.18 and 0.21 eV and a refractive index between 1.14 and 1.44 were obtained. The devices presented a change in the J–V curves for the illuminated and darkness conditions, as much as 1.5 × 102 A/cm2, related to the device architecture and phthalocyanine ligand. The latter indicates that the films should be used for optoelectronic applications.
Acceptance Intention and Behavioral Response to Soil-Testing Formula Fertilization Technology: An Empirical Study of Agricultural Land in Shaanxi Province

Soil-testing formula fertilization technology is a powerful tool for preserving arable land and ensuring food security. The purpose of this study was to investigate farmers’ acceptance intentions and behavioral responses to soil-testing formula fertilization technology. Based on the theory of planned behavior, this paper adopts the partial least squares structural equation modeling (PLS-SEM) method, with 295 farmers in the high-standard farmland project area of Shaanxi Province as samples. The research results show that attitude (ATT), subjective norms (SN), and perceived behavioral control (PBC) all had a significant positive influence on farmers’ behavioral intentions. The order of impact effects from large to small is ATT > SN > PBC. The ecological rationality of farmers, communication and demonstration between neighbors, and effective technical training, as well as consulting and guidance services, can better enhance farmers’ intentions to apply soil-testing formula fertilization technology. This study could help to provide references for policymaking to improve the adoption of soil-testing formula fertilization technology.
The Influence of Methods for Cardiac Output Determination on the Diagnosis of Precapillary Pulmonary Hypertension: A Mathematical Model

Background: precapillary pulmonary hypertension (PH, PcPH) is now defined as a mean pulmonary artery pressure (mPAP) > 20 mmHg, a pulmonary artery wedge pressure (PAWP) ≤ 15 mmHg and a pulmonary vascular resistance (PVR) > 2 WU. For PVR calculation, the measurement of cardiac output (CO) is necessary. It is generally measured using thermodilution. However, recent data showed that the agreement with direct Fick method, historically the gold standard, is less than previously reported. We aimed to create a mathematical model that calculated the probability of being classified differently (PcPH or unclassified PH) if CO measured by direct Fick was used instead of thermodilution for any individual patients with a mPAP > 20 mmHg and a PAWP ≤ 15 mmHg. Methods: The model is based on Bland and Altman analysis with a normally distributed difference of cardiac output, fixed 1.96 standard deviation of bias, bias and physiological cardiac output limits. Results: Following a literature review of the studies comparing CO measured with direct Fick and thermodilution, we fixed the 1.96 standard deviation of bias at 2 L/min, bias at 0 L/min and physiological resting CO limits between 1.3 L/min and 10.2 L/min. Conclusions: This model can help the clinician to evaluate the potential benefit of measuring CO using direct Fick during the diagnostic work-up and its utility in confirming or ruling out a diagnosis of PcPH in any given patient with a mPAP > 20 mmHg and a PAWP ≤ 15 mmHg.
A Study of the Source of Entrained Air in Montana Cumuli

Abstract Data gathered by the University of Wyoming King Air, the Atmospheric Environmental Services Twin otter and an NCAR Queen Air were used in thermodynamic analyses to determine the sources of environmental air entrained into cumulus clouds. The measurements were made in clouds ranging from small cumuli a few kilometers deep to a large supercell system. Previous results have indicated that the source of entrained air in continental cumuli is generally above the flight level, often near cloud top. The results reported here, however, suggest that the source of entrained air is close to, or slightly above, the observation level of the aircraft, even when the aircraft descends through different levels in the cloud. The results are consistent with the idea that cumulus clouds consist of thermal-like elements from which the least buoyant mixed parcels are shed off and the most buoyant mixed parcels may continue with the general ascent. A schematic model of cumulus convection is presented and supported by m.
The Influence of 21st Century Skills On Readiness Career Of Accounting 4.0

The Industrial Revolution 4.0 is marked by technological advances in various fields, such as artificial intelligence, supercomputers, smart robots, cloud computing, big data systems, and genetic engineering that allows humans to further optimize brain function. Industrial revolution 4.0 is predicted to have a significant and extraordinary impact on various aspects, especially on products, supply chains, consumers, and workers. Accountants are one of the workers or professions that are disrupted. In preparing for their careers, accountants should prepare themselves by honing soft skills and be able to adapt to changes that occur, so that the 4.0 revolution is not a challenge but an opportunity in the future. Soft skills that will be discussed in this study refer to 21st-century skills. 21st-century skills are divided into learning skills, literacy skills, and life skills. This study uses a closed survey instrument, this study collects data from four universities in Malang City. The research hypothesis was tested using Structural Equation Modeling (SEM) with Smart Partial Least Square (Smart-PLS). The data analysis used in this research is the outer model (measurement model) and the inner model (structural model). The results showed that learning skills, literacy skills, and life skills affected students' readiness for careers to become accountants 4.0. Gender and education programs also show an influence on students' readiness for careers to become accountants 4.0
Warm Core Vortex Amplification over Land

Abstract A convectively generated mesoscale vortex that was instrumental in initiating and organizing five successive mesoscale convective systems over a period of three days is documented. Two of these convective systems were especially intense and resulted in widespread heavy rain with localized flooding. Based upon radar and satellite data, the detectable size of the vortex became much larger following the strong convective developments, nearly tripling its initial diameter over its three-day life cycle. During nighttime, when convection typically intensified within the vortex, movement of the system tended to slow. Following dissipation of the convection in the morning, the daytime movement accelerated. Cross sections of potential vorticity taken through the vortex center clearly show a maximum at midlevels and a well-defined minimum directly above. The vortex and the potential vorticity maximum were essentially colocated and the system was nearly axisymmetric in the vertical. Over the three-day life .
The Influence of Brand Ambassador and Social Media Marketing on Purchase Intention Through Brand Image (Study on Consumers " Sang Dewa Snack")

Brand ambassadors and social media marketing are effective marketing strategies in promotions to encourage purchases. This study aims to determine the direct and indirect effect of brand ambassadors and social media marketing on purchase intention through the brand image of Sang Dewa consumers. This study uses a descriptive explanatory quantitative approach. The population of this research is prospective consumers of Sang Dewa, the sampling technique used purposive sampling totaling 198 respondents. Data analysis of this research was carried out using the SEM Partial Least Square (PLS) method using WarpPLS 7.0 software, descriptive analysis and Sobel test. The results show that: 1) brand ambassadors have a positive and significant direct effect on brand image & purchase intention 2) social media marketing has a direct positive and significant effect on brand image & purchase intention 3) brand image has a direct positive and significant effect on purchase intention 4) brand ambassador has a positive and significant effect on purchase intention through brand image 5) social media marketing has a positive and significant effect on purchase intention through brand image. Based on the results of this study, the researcher provides suggestions, namely adjusting product characteristics with brand ambassador figures and carrying out more effective promotional activities.