Miracle-dz/UniFAR-FTUs huggingface dataset:
Binary {[}WR] and wels central stars of planetary nebulae

A sample of 33 {[}WR] and wels (weak emission-line central stars) central stars of planetary nebulae was observed in order to search for binary nuclei. One close binary system was discovered. The central star of PN G222.8 - 04.2 is the first {[}WR] star in a close binary system known, with a period of 0.63 d. The fraction of close binary central stars, leading to photometrical variability, is lower among the hydrogen-poor {[}WR] stars and wels than among their hydrogen-rich counterparts. This may indicate larger orbital separations or an intrinsically lower binary fraction among {[}WR] and wels central stars. The detection of one close binary system among the {[}WR] stars shows that common-envelope evolution does not preclude such stars. It also shows that although a stellar merger is a possible evolutionary channel towards H-poor emission-line stars, it cannot form the only such channel, as PN G222.8 - 04.2 has avoided a merger.
Effect of Social Presence toward Livestream E-Commerce on Consumers’ Purchase Intention

The booming development of livestream e-commerce has attracted considerable academic attention, but research on how social presence affects consumers’ purchase decisions is limited. To this end, this article proposed a theoretical framework for the influence of social presence on consumers’ purchasing decisions based on social presence theory. In this study, structural equation modeling was carried out on 390 data collected from a questionnaire to verify the mechanisms by which social presence influences purchase intention. The study found that social presence enhances consumer identification, which in turn enhances consumers’ purchase intention. Meanwhile, this study not only verified the mediating role of consumer identification but also tested the positive moderating role of self-improvement by livestream e-commerce. This study found that a live streaming host’s social presence influences the consumers’ purchase behavior, and it provides decision support for companies to sell products through livestreaming platforms, which has important theoretical significance and practical application value.
Health facility assessments of cervical cancer prevention, early diagnosis, and treatment services in Gulu, Uganda

Background Cervical cancer is ranked globally in the top three cancers for women younger than 45 years, with the average age of death at 59 years of age. The highest burden of disease is in low-to-middle income countries (LMICs), responsible for 90% of the 311,000 cervical cancer deaths in 2018. This growing health disparity is due to the lack of quality screening and treatment programs, low human papillomavirus (HPV) vaccination rates, and high human immunodeficiency virus (HIV) co-infection rates. To address these gaps in care, we need to develop a clear understanding of the resources and capabilities of LMICs’ health care facilities to provide prevention, early diagnosis through screening, and treatment for cervical cancer. Objectives This project aimed to assess baseline available cervical cancer prevention, early diagnosis, and treatment resources, at facilities designated as Health Center III or above, in Gulu, Uganda. Methods We adapted the World Health Organization’s Harmonized Health Facility Assessment for our own HFA and grading scale, deploying it in October 2021 for a cross-sectional analysis of 21 health facilities in Gulu. Results Grading of Health Center IIIs (n = 16) concluded that 37% had “excellent” or “good” resources available, and 63% of facilities had “poor” or “fair” resources available. Grading of Health Center IVs and above (n = 5) concluded that 60% of facilities had “excellent” or “good” resources, and 40% had “fair” resources available. Discussion The analysis of health facilities in Gulu demonstrated subpar resources available for cervical cancer prevention, early diagnosis, and treatment. Focused efforts are needed to expand health centers’ resources and capability to address rising cervical cancer rates and related health disparities in LMICs. The development process for this project’s HFA can be applied to global cervical cancer programming to determine gaps in resources and indicate areas to target improved health equity.
Tutorial: Linear surface conductivity of an achiral single-wall carbon nanotube

Theoretical consideration of electromagnetic scattering by single-wall carbon nanotubes (SWNTs) and SWNT arrays requires knowledge of the linear surface conductivity of an SWNT. An expression for the surface conductivity of an infinitely long SWNT was derived by Slepyan et al. [Phys. Rev. B 60, 17136-17149 (1999)]10.1103/PhysRevB.60. 17136. The twin purposes of this tutorial are to succinctly discuss the derivation using the density matrix formalism and to provide ready-to-use expressions.
Visum Et Repertum As Evidence In Uncovering The Occurrence of Criminal Acts

The criminal law evidentiary system in Indonesia is a negative wettelijk or proof sys-tem based on the Law negatively. To make light of a criminal act, valid evidence is needed according to the Criminal Procedure Code as stated in Article 184 paragraph 1 of the Criminal Procedure Code. Not all criminal acts can be proven with the naked eye. For example, evidence related to bodily injuries or that cause health problems, or that result in the death of a person. Without expert help a law enforcement officer cannot conclude this. the purpose of this research is to find out visum et repertum as evidence in uncovering the occurrence of criminal acts. This research is a legal research that uses a normative or doctrinal juridical ap-proach by collecting and analyzing secondary data. So it is necessary to help the medical science of the judiciary to deal with the problem. Forensic doctors assist in processes related to judicial proceedings. And the results of the examination are poured into Visum et Repertum. In criminal cases Visum et Repertum is used instead of corpus delicti. That visum et repertum is valid evidence in accordance with article 184 of the Penal Code as evidence of letters
Amino acid digestibility and nitrogen-corrected true metabolizable energy of mildly cooked human-grade vegan dog foods using the precision-fed cecectomized and conventional rooster assays

Abstract The pet food market is constantly changing and adapting to meet the needs and desires of pets and their owners. One trend that has been growing in popularity lately is the feeding of fresh, human-grade foods. Human-grade pet foods contain ingredients that have all been stored, handled, processed, and transported in a manner that complies with regulations set for human food production. While most human-grade pet foods are based on animal-derived ingredients, vegan options also exist. To our knowledge, no in vivo studies have been conducted to analyze the performance of human-grade vegan diets. Therefore, the objective of this study was to investigate the amino acid (AA) digestibility and nitrogen-corrected true metabolizable energy (TMEn) of mildly cooked human-grade vegan dog foods using precision-fed cecectomized rooster and conventional rooster assays. Three commercial dog foods were tested. Two were mildly cooked human-grade vegan dog diets (Bramble Cowbell diet (BC); Bramble roost diet (BR)), while the third was a chicken-based extruded dog diet (chicken and brown rice recipe diet (CT)). Prior to the rooster assays, both mildly cooked diets were lyophilized, and then all three diets were ground. Diets were fed to cecectomized roosters to determine AA digestibility, while conventional roosters were used to determine TMEn. All data were analyzed using the mixed models procedure of SAS (version 9.4). The majority of indispensable and dispensable AA across all diets had digestibilities higher than 80%, with a few exceptions (BC: histidine, lysine, threonine, and valine; BR: histidine). The only difference in indispensable AA digestibility among diets was observed with tryptophan, with its digestibility being higher (P = 0.0163) in CT than in BC. TMEn values were higher (P = 0.006) in BC and BR (4.55 and 4.66 kcal/g dry matter, respectively) than that in CT (3.99 kcal/g dry matter). The TMEn/GE was also higher (P = 0.0193) in BR than in CT. Metabolizable energy (ME) estimates using Atwater factors accurately estimated the energy content of CT, but modified Atwater factors and the predictive equations for ME recommended by the National Research Council underestimated energy content. All calculations underestimated the measured TMEn values of BC and BR, with Atwater factors being the closest. Although testing in dogs is required, these data suggest that mildly cooked human-grade vegan dog diets are well-digested. Moreover, TMEn data suggest that existing methods and equations underestimate the ME of the mildly cooked human-grade vegan foods tested.
Isometries and maps compatible with inverted Jordan triple products on groups

Motivated by the famous Mazur-Ulam theorem in this paper we study algebraic properties of isometries between metric groups. We present some general results on so-called d -preserving maps between subsets of groups and apply them in several directions. We consider d -preserving maps on certain groups of continuous functions deﬁned on compact Hausdorff spaces and describe the structure of isometries between groups of functions mapping into the circle group T . Finally, we show a generalization of the Mazur-Ulam theorem for commutative groups and present a metric characterization of normed real-linear spaces among commutative metric groups.
Rehabilitation of Memory Disorders

Memory disorders are common in clinical practice. This review focuses on the rehabilitation of anterograde amnesia, the inability to learn and retrieve new information, in non-degenerative brain disease. Diverse mnemonic strategies may be helpful in learning specific pieces of information. Their success also depends on the severity of associated cognitive failures, in particular, executive dysfunction. However, unless transfer to everyday activities is specifically trained, such strategies are of limited value in promoting independence in daily life. External memory aids are often necessary to allow for independent living. Learning to use them requires intact capacities such as procedural learning or conditioning. This review further discusses the rehabilitation of confabulation, that is, the emergence of memories of events that never happened. The rehabilitation of memory disorders needs to be tailored to patients’ individual capacities and needs.
Indirect adaptive pole-placement control of MIMO stochastic systems: self-tuning results

We consider indirect adaptive pole-placement control (APPC) of linear multivariable stochastic systems. We propose a nonminimal but otherwise uniquely identifiable overlapping parameterization instead of the minimal representation used in current literature. Requiring less restrictive prior information than observability (and controllability) indices, this parameterization is more appropriate for multivariable ARMAX model representations. It is shown that by using the stochastic gradient (SG) identification method, and with sufficient external excitation. The parameter estimates are strongly consistent for all intial conditions. Moreover, under more restrictive assumptions and minor modification, the MIMO adaptive pole-placement controller is globally, asymptotically self-tuning even in the absence of external excitation. These represent the most complete study of stochastic multivariable APPC systems so far. <<ETX>>
Circulatory miR-411-5p as a Novel Prognostic Biomarker for Major Adverse Cardiovascular Events in Patients with Atrial Fibrillation

The risk stratification of patients with atrial fibrillation (AF) for subsequent cardiovascular events could help in guiding prevention strategies. In this study, we aimed at investigating circulating microRNAs as prognostic biomarkers for major adverse cardiovascular events (MACE) in AF patients. We conducted a three-stage nested case–control study within the framework of a prospective registry, including 347 AF patients. First, total small RNA-sequencing was performed in 26 patients (13 cases with MACE) and the differential expression of microRNAs was analyzed. Seven candidate microRNAs with promising results in a subgroup analysis on cardiovascular death were selected and measured via using RT-qPCR in 97 patients (42 cases with cardiovascular death). To further validate our findings and investigate broader clinical applicability, we analyzed the same microRNAs in a subsequent nested case–control study of 102 patients (37 cases with early MACE) by using Cox regression. In the microRNA discovery cohort (n = 26), we detected 184 well-expressed microRNAs in circulation without overt differential expression between the cases and controls. A subgroup analysis on cardiovascular death revealed 26 microRNAs that were differentially expressed at a significance level < 0.05 (three of which with an FDR-adjusted p-value <0.05). We, therefore, proceeded with a nested case–control approach (n = 97) focusing on patients with cardiovascular death and selected, in total, seven microRNAs for further RT-qPCR analysis. One microRNA, miR-411-5p, was significantly associated with cardiovascular death (adjusted HR (95% CI): 1.95 (1.04–3.67)). Further validation (n = 102) in patients who developed early MACE showed similar results (adjusted HR (95% CI) 2.35 (1.17–4.73)). In conclusion, circulating miR-411-5p could be a valuable prognostic biomarker for MACE in AF patients.
High-speed atomic force microscopy in liquid

High-speed constant force imaging with the atomic force microscope (AFM) has been achieved in liquid. By using a standard optical lever AFM, and a cantilever with an integrated zinc oxide (ZnO) piezoelectric actuator, an imaging bandwidth of 38 kHz has been achieved; nearly 100 times faster than conventional AFMs. For typical samples, this bandwidth corresponds to tip velocities in excess of 3 mm/s. High-speed AFM imaging in liquid will (1) permit chemical and biological AFM observations to occur at speeds previously inaccessible, and (2) significantly decrease measurement times in standard AFM liquid operation.
Nickel oxide nanocatalyst obtained by a combined sol-gel and hydrothermal method for oxygen evolution reaction

Nickel oxide nanoparticles with a crystallite size of 4 nm were prepared by a two-step proteic sol–gel and hydrothermal method and evaluated as catalyst for oxygen evolution reaction. The nanocatalyst was characterized by using XRD, FT-IR, RAMAN, and UV–VIS techniques and electrochemically by linear scanning voltammetry (LSV), cyclic voltammetry (CV), and electrochemical impedance spectroscopy (EIS). The electrode prepared with the NiO nanoparticles showed an overpotential of 335 mV at 10 mA cm^−2, Tafel slope of 136 mV dec^−1, C_DL of 4.08 mF, ECSA of 102 cm^2, specific activity of 4.7 mA cm^− 2, and mass activity of 1600 A g^−1. Graphical abstract
Reinforcement learning based variable damping control of wearable robotic limbs for maintaining astronaut pose during extravehicular activity

As astronauts perform on-orbit servicing of extravehicular activity (EVA) without the help of the space station’s robotic arms, it will be rather difficult and labor-consuming to maintain the appropriate position in case of impact. In order to solve this problem, we propose the development of a wearable robotic limb system for astronaut assistance and a variable damping control method for maintaining the astronaut’s position. The requirements of the astronaut’s impact-resisting ability during EVA were analyzed, including the capabilities of deviation resistance, fast return, oscillation resistance, and accurate return. To meet these needs, the system of the astronaut with robotic limbs was modeled and simplified. In combination with this simplified model and a reinforcement learning algorithm, a variable damping controller for the end of the robotic limb was obtained, which can regulate the dynamic performance of the robot end to resist oscillation after impact. A weightless simulation environment for the astronaut with robotic limbs was constructed. The simulation results demonstrate that the proposed method can meet the recommended requirements for maintaining an astronaut’s position during EVA. No matter how the damping coefficient was set, the fixed damping control method failed to meet all four requirements at the same time. In comparison to the fixed damping control method, the variable damping controller proposed in this paper fully satisfied all the impact-resisting requirements by itself. It could prevent excessive deviation from the original position and was able to achieve a fast return to the starting point. The maximum deviation displacement was reduced by 39.3% and the recovery time was cut by 17.7%. Besides, it also had the ability to prevent reciprocating oscillation and return to the original position accurately.
Machine Learning Model Validated to Predict Outcomes of Liver Transplantation Recipients with Hepatitis C: The Romanian National Transplant Agency Cohort Experience

Background and Objectives: In the early period after liver transplantation, patients are exposed to a high rate of complications and several scores are currently available to predict adverse postoperative outcomes. However, an ideal, universally accepted and validated score to predict adverse events in liver transplant recipients with hepatitis C is lacking. Therefore, we aimed to establish and validate a machine learning (ML) model to predict short-term outcomes of hepatitis C patients who underwent liver transplantation. Materials and Methods: We conducted a retrospective observational two-center cohort study involving hepatitis C patients who underwent liver transplantation. Based on clinical and laboratory parameters, the dataset was used to train a deep-learning model for predicting short-term postoperative complications (within one month following liver transplantation). Adverse events prediction in the postoperative setting was the primary study outcome. Results: A total of 90 liver transplant recipients with hepatitis C were enrolled in the present study, 80 patients in the training cohort and ten in the validation cohort, respectively. The age range of the participants was 12–68 years, 51 (56,7%) were male, and 39 (43.3%) were female. Throughout the 85 training epochs, the model achieved a very good performance, with the accuracy ranging between 99.76% and 100%. After testing the model on the validation set, the deep-learning classifier confirmed the performance in predicting postoperative complications, achieving an accuracy of 100% on unseen data. Conclusions: We successfully developed a ML model to predict postoperative complications following liver transplantation in hepatitis C patients. The model demonstrated an excellent performance for accurate adverse event prediction. Consequently, the present study constitutes the foundation for careful and non-invasive identification of high-risk patients who might benefit from a more intensive postoperative monitoring strategy.
Extrasolar Planet Finding via Optimal Apodized-Pupil and Shaped-Pupil Coronagraphs

In this paper we examine several different apodization approaches to achieving high-contrast imaging of extrasolar planets and compare different designs on a selection of performance metrics. These approaches are characterized by their use of the pupil's transmission function to focus the starlight rather than by masking the star in the image plane as in a classical coronagraph. There are two broad classes of pupil coronagraphs examined in this paper: apodized pupils with spatially varying transmission functions and shaped pupils, whose transmission values are either 0 or 1. The latter are much easier to manufacture to the needed tolerances. In addition to comparing existing approaches, numerical optimization is used to design new pupil shapes. These new designs can achieve nearly as high a throughput as the best apodized pupils and perform significantly better than the apodized square aperture design. The new shaped pupils enable searches of 50%-100% of the detectable region, suppress the star's light to below 10-10 of its peak value, and have inner working distances as small as 2. 8λ/D. Pupils are shown for terrestrial planet discovery using square, rectangular, circular, and elliptical apertures. A mask targeted at Jovian planet discovery is also presented, in which contrast is given up to yield greater throughput.
Game Birds Can Act as Intermediaries of Virulent Genotype VII Avian Orthoavulavirus-1 between Wild Birds and Domestic Poultry

Newcastle Disease (ND), caused by virulent forms of Avian orthoavulavirus serotype-1 (AOAV-1) is an economically important avian disease worldwide. The past two incursions of ND into the United Kingdom occurred in game bird populations during 2005 and 2006. The nature of the game bird semi-feral rearing system, which can bring these birds into close contact with both wild birds and commercial or backyard poultry, has been hypothesized to act as a bridge between these two environments. As such, the risk that AOAV-1-infected game birds may pose to the UK poultry industry was investigated. Pheasants, partridges and chickens were experimentally infected with the virulent strain APMV-1/Chicken/Bulgaria/112/13, a genotype VII.2 virus associated with ND outbreaks in Eastern Europe. The study demonstrated that both chickens and pheasants are susceptible to infection with APMV-1/Chicken/Bulgaria/112/13, which results in high mortality and onward transmission. Partridges by contrast are susceptible to infection, but mortality was reduced, as was onward transmission. However, the data indicated that both pheasants and partridges may serve as intermediate hosts of AOAV-1 and may bridge the wild bird–domestic poultry interface enabling transmission into an economically damaging environment where morbidity and mortality may be high.
Equalized Net Diffusion (END) for the Preservation of Fine Structures in PDE-based Image Restoration

The article is concerned with a mathematical modeling which can improve performances of PDE-based restoration models. Most PDE-based restoration models tend to lose fine structures due to certain degrees of nonphysical dissipation. Sources of such an undesirable dissipation are analyzed for total variation-based restoration models. Based on the analysis, the so-called equalized net diffusion (END) modeling is suggested in order for PDE-based restoration models to significantly reduce nonphysical dissipation. It has been numerically verified that the END-incorporated models can preserve and recover fine structures satisfactorily, outperforming the basic models for both quality and efficiency. Various numerical examples are shown to demonstrate effectiveness of the END modeling.
Exact solution for a density contrast shallow‐water wedge using normal coordinates

In the previous work, the exact impulse solution for an isovelocity wedge (ρ≠ρ’, v=v’) was obtained [D. Chu, J. Acoust. Soc. Am. 86, 1883–1896 (1989)]. In the present paper, the same method (normal coordinates) is used but the boundary conditions are modified to satisfy the present problem. Although isovelocity is still a highly idealized situation, it is a better approximation to an actual case than a free/rigid boundary model. The reflections and diffractions are well separated in the time domain. The former can be described accurately by images. When velocity contrast is closed to 1, in the absence of diffracted wave, the total field in a general penetrable wedge may be approximated by the image solution for an isovelocity shallow‐water wedge plus the total reflections.