Miracle-dz/UniFAR-FTUs huggingface dataset:
Global dynamics of the Gliese 876 planetary system

The Gliese 876 planetary system consists of two Jupiter-like planets having a nearly commensurate 2:1 orbital periods ratio. Because the semimajor axes of the planets are very small (of the order 0.1 au and 0.2au, respectively), and the eccentricity of the inner companion is ≃0.3, the mutual perturbations are extremely large. However, many authors claim the long-term orbital stability of the system, at least over 500 Myr for initial conditions found by Rivera & Lissauer. Results of investigations of a migration of initially separated planets into the close 2:1 mean motion resonance lock from Lee & Peale also support the conclusion that the system should be stable for the lifetime of the parent star. Initial conditions of the system, found from non-linear N-body fits by Laughlin & Chambers and Rivera & Lissauer, to the radial velocity curve, formally allow for a variety of orbital configurations of the GJ 876 system, e.g. coplanar, with planetary inclinations in the range [≃ 30°, 90°], and with relative inclinations of orbital planes as high as 80°. Our work is devoted to the stability investigation of the systems originating from the fitted initial conditions. We study neighbourhoods of these initial states in the orbital parameter space. We found estimations of the 2:1 mean motion resonance width and dynamical limitations on the planetary masses. We also obtain a global representation of the domains of the orbital parameters space in which initial conditions leading to stable evolutions can be found. Our results can be useful in localization of the best, stable fits to the observational data. In our investigations we use the MEGNO technique (the Mean Exponential Growth factor of Nearby Orbits) invented by Cincotta & SimO. It allows us to distinguish efficiently and precisely between chaotic and regular behaviour of a planetary system.
Rational Layout of Taxi Stop Based on the Analysis of Spatial Trajectory Data

The implementation of the relevant management system makes the road-parking behavior standardized, while increasing the difficulty of temporary parking of operational vehicles such as taxis. Therefore, in order to improve the relevant management measures and promote the sustainable development of the taxi industry, it is necessary to survey the demand for taxi parking and study the layout of taxi stops. To process the GPS data of the taxis, and to extract the loading and unloading positions of the passengers from the spatial trajectory data, big data analysis technology is used. Compared with the data obtained using traditional survey means, the spatial trajectory data reflects the situation of the whole system, which can make the analysis more accurate. K-means cluster analysis was used to determine community demand. Finally, the immune optimization model was used to determine the optimal taxi stand location. The problem of taxi stand location at the level of urban network from two dimensions of quantity and spatial distribution is solved in this paper. The location of 10 taxi stands can not only meet the parking needs of regional taxis, but also reasonably allocate urban resources and promote sustainable development. This study also has a certain reference value for relevant management departments.
Regularly solvable extensions of non-self-adjoint ordinary differential operators

Synopsis Let L0, M0 be closed densely defined linear operators in a Hilbert space H which form an adjoint pair, i.e. . In this paper, we study closed operators S which satisfy and are regularly solvable in the sense of Višik. The abstract results obtained are applied to operators generated by second-order linear differential expressions in a weighted space L2(a, b; w).
CT Texture Analysis of Adrenal Pheochromocytomas: A Pilot Study

Radiomics is a promising research field that combines big data analysis (from tissue texture analysis) with clinical questions. We studied the application of CT texture analysis in adrenal pheochromocytomas (PCCs) to define the correlation between the extracted features and the secretory pattern, the histopathological data, and the natural history of the disease. A total of 17 patients affected by surgically removed PCCs were retrospectively enrolled. Before surgery, all patients underwent contrast-enhanced CT and complete endocrine evaluation (catecholamine secretion and genetic evaluation). The pheochromocytoma adrenal gland scaled score (PASS) was determined upon histopathological examination. After a resampling of all CT images, the PCCs were delineated using LifeX software in all three phases (unenhanced, arterial, and venous), and 58 texture parameters were extracted for each volume of interest. Using the Mann–Whitney test, the correlations between the hormonal hypersecretion, the malignancy score of the lesion (PASS > 4), and texture parameters were studied. The parameters DISCRETIZED_HUpeak and GLZLM_GLNU in the unenhanced phase and GLZLM_SZE, CONVENTIONAL_HUmean, CONVENTIONAL_HUQ3, DISCRETIZED_HUmean, DISCRETIZED_AUC_CSH, GLRLM_HGRE, and GLZLM_SZHGE in the venous phase were able to differentiate secreting PCCs (p < 0.01), and the parameters GLZLM_GLNU in the unenhanced phase and GLRLM_GLNU and GLRLM_RLNU in the venous differentiated tumors with low and high PASS. CT texture analysis of adrenal PCCs can be a useful tool for the early identification of secreting or malignant tumors.
Atomistic modeling of liquid-liquid phase equilibrium explains dependence of critical temperature on γ-crystallin sequence

Liquid-liquid phase separation of protein solutions has regained heightened attention for its biological importance and pathogenic relevance. Coarse-grained models are limited when explaining residue-level effects on phase equilibrium. Here we report phase diagrams for γ-crystallins using atomistic modeling. The calculations were made possible by combining our FMAP method for computing chemical potentials and Brownian dynamics simulations for configurational sampling of dense protein solutions, yielding the binodal and critic temperature ( T _c). We obtain a higher T _c for a known high- T _c γ-crystallin, γF, than for a low- T _c paralog, γB. The difference in T _c is corroborated by a gap in second virial coefficient. Decomposition of inter-protein interactions reveals one amino-acid substitution between γB and γF, from Ser to Trp at position 130, as the major contributor to the difference in T _c. This type of analysis enables us to link phase equilibrium to amino-acid sequence and to design mutations for altering phase equilibrium. Atomistic modeling of dense solutions of γ-crystallins links liquid-liquid phase equilibrium to amino-acid sequence and predicts mutations for altering the critical temperature.
Formulation and Evaluation of Mucoadhesive Buccal tablets using Nimodipine Solid Lipid Nanoparticles

This study aimed to create and describe mucoadhesive nimodipine solid lipid nanoparticles as buccal tablets by altering the amounts of three polymers: Carbopol 934, Hydroxypropyl methylcellulose and Hydroxyethyl cellulose. The Nimodipine-loaded solid lipid nanoparticles (SLN) were formulated by high shear homogenization and ultrasonication process using palmitic and stearic acid as the lipid matrix and Tween-80 as the surfactant. The swelling properties of all formulations were investigated, and it was discovered that all formulations have a good swelling index at 6 hours. The surface pH of each batch varied between 5.6 and 6.1. The mucoadhesive strengths (15.3-29.5 g) varied with polymer concentrations, particularly Carbopol 934. All batches had considerably different dissolution profiles, ranging from a maximum release of 89.08% (at 8h in batch NT3) to a minimum release of 80.32% (at 8h in batch NT2). SLN formulations had the best results in both Entrapment efficiency and In-vitro drug release, showing that SLN may be a promising delivery strategy for improving Nimodipine release.
On De Giorgi's conjecture in dimension N>9

A celebrated conjecture due to De Giorgi states that any bounded solution of the equation u + (1 u 2 )u = 0 in R N with @yNu > 0 must be such that its level setsfu = g are all hyperplanes, at least for dimension N 8. A counterexample for N 9 has long been believed to exist. Starting from a minimal graph which is not a hyperplane, found by Bombieri, De Giorgi and Giusti in R N , N 9, we prove that for any small > 0 there is a bounded solution u (y) with @yN u > 0, which resembles tanh A t p 2 a , where t = t(y) denotes a choice of signed distance to the blown-up minimal graph := 1 . This solution is a counterexample to De Giorgi’s conjecture for N 9.
Three-state compound channel models

This paper considers the qualitative or quantitative properties of the data errors generated on the digital channel or recording medium, and the construction of the statistical model which generates the errors with the same property as that of the actual errors. This is one of the important problems in the evaluation and design of the devices (especially those for error-correction). the traditional statistical model for such a purpose is based on the Markov chain, for which a number of studies have been made. Typical examples are the Gilbert model, the Fritchman model and the extended Gilbert model. This paper extends those models further and presents several new three-state compound channel models. These models have some very interesting properties which have not been observed in earlier models. For example, it is possible to generate a larger number of paired errors or burst errors of specified length. This paper describes first the features of those models and then constructs them. an example is given in which the model parameters are determined from the error data measured from an optical disk.
A High Power Density Double-Side-End Double-Sided Bonding SiC Half-Bridge Power Module

Silicon carbide (SiC) power module with lower loop inductance, better dynamic current sharing properties, and better thermal performance will contribute to achieve high power density three-phase inverter in medium-voltage applications. Inspired by the concept of double-side-end busbar, a novel double-side-end double-sided bonding (DSB) power module is proposed in this article. For three chips’ parallel situation, the double-side-end structure decreases parasitic inductance by 40% compared to traditional baseline structure. Besides lower parasitic inductance, a novel structure also has better dynamic current sharing properties. To explain these dynamic current sharing phenomena, an equivalent source inductance model considering mutual inductance is proposed in this article. A 1200-V 10- $\text{m}\Omega $ SiC double-side-end DSB half-bridge power module is designed, fabricated, and tested. The proposed power module realizes 3-nH power loop inductance. Furthermore, to realize the practical application of the novel power module, a novel compact two-level three-phase integration architecture based on a novel power module is also proposed. With the help of the double-sided direct-cooling method and double-side-end busbar, the proposed architecture will help to realize better performance.
The electromagnetic equations of the supraconductor

Electric currents are commonly believed to persist in a supra-conductor without being maintained by an electromagnetic field. Thus the relation between the field strength E and the current density J in a supraconductor has sometimes been described by means of an "acceleration equation," of the form ∆J = E; A = m / ne 2. (1) This equation, which might replace Ohm;s law for supraconductors, simply expresses the influence of the electric part of the Lorentz force on freely movable electrons of the mass m and charge e , the number per cm3 being n (we use rational units). By definition the constant A must be positive. As a direct consequence of this equation (1) stationary currents in supraconductors are possible when E = 0. We shall see, however, that actually equation (1), which we will refer to as the "acceleration theory," implies more than is verified by experiment; moreover, presupposing an acceleration without any friction it implies a premature theory, the development of which has presented a hopelessly insoluble problem to mathematical physicist. Apparently a model was wanted which would explain that in its most stable state the supraconductor has always a persistent current. We shall give a formulation which is somewhat more restricted in this respect. On the other had it includes one more important fact, namely, the experiment of Meissner and Ochsenfeld. In this way we get a new description of the electromagnetic field in a supraconductor, which is consistent and, as it eliminates unnecessary statements, is in closer contact with experiment. This new description seems to provide an entirely new point of view for a theoretical explanation.
Isolation, Physicochemical Characterization, and Biological Properties of Inotodiol, the Potent Pharmaceutical Oxysterol from Chaga Mushroom

Inotodiol, an oxysterol found only in Chaga mushroom, has received attention from the pharmaceutical industry due to its strong antioxidant and anti-allergic activities. However, the production of inotodiol is still challenging, and its fundamental properties have yet to be investigated. This study aims to develop an efficient method to produce high-purity inotodiol from Chaga mushroom. Then, pure inotodiol was used to assess its physicochemical properties and biological activities. By optimizing the solvent used for extraction and purification, a new method to produce inotodiol was developed with high purity (>97%) and purification yield (33.6%). Inotodiol exhibited a melting point (192.06 °C) much higher than lanosterol and cholesterol. However, the solubility of inotodiol in organic solvents was notably lower than those of the other two sterols. The difference in the hydroxyl group at C-22 of inotodiol has shown the distinctive physicochemical properties of inotodiol compared with cholesterol and lanosterol. Based on those findings, a nonionic surfactant-based delivery system for inotodiol was developed to improve its bioavailability. The inotodiol microemulsion prepared with 1–2% Tween-80 exhibited homogenous droplets with an acceptable diameter (354 to 217 nm) and encapsulation efficiency (85.6–86.9%). The pharmacokinetic analysis of inotodiol microemulsion in oral administration of 4.5 mg/kg exhibited AUC0–24h = 341.81 (ng·h/mL), and Cmax = 88.05 (ng/mL). Notably, when the dose increased from 4.5 to 8.0 mg/kg, the bioavailability of inotodiol decreased from 41.32% to 33.28%. In a mouse model of sepsis, the serum level of interleukin-6 significantly decreased, and the rectal temperature of mice was recovered in the inotodiol emulsion group, indicating that inotodiol microemulsion is an effective oral delivery method. These results could provide valuable information for applying inotodiol in functional food, cosmetic, and pharmaceutical industries.
Recent Advances in Perceptive Intelligence for Soft Robotics

Over the past decade, soft robot research has expanded to diverse fields, including biomedicine, bionics, service robots, human–robot interaction, and artificial intelligence. Much work has been done in modeling the kinematics and dynamics of soft robots, but closed‐loop control is still in its early stages due to limited sensory feedback. Thanks to the advancement in functional materials, structures, and manufacturing techniques for flexible electronics, flexible and stretchable sensors are developing rapidly. These sensors provide feedback for closed‐loop control tasks and enable soft robots to effectively explore the unknown and safely interact with humans and the environment. Herein, recent advances in perceptive soft robots that utilize flexible/stretchable sensors and functional materials are outlined. The perceptive functions of soft robots from two different aspects, that is, proprioception and exteroception, are summarized. Furthermore, the constructions of autonomous soft robots by integrating both proprioceptive and exteroceptive capabilities for closed‐loop control tasks and other challenging tasks in the real world are discussed.
Health Damage of Air Pollution, Governance Uncertainty and Economic Growth

The evaluation of environmental and health governance processes is an important part of the innovation and perfection of modern governance systems. Based on the macropanel samples, this paper analyzes the impact of the health damage caused by air pollution (APHD) on economic growth and the related mechanisms accordingly using the moderate model and the threshold model. The results can be concluded as follows: (1) After locking in the health damage perspective, the APHD has a negative impact on economic growth. When other conditions are met, economic growth will significantly drop by 1.233 percent for each unit increase in the APHD index. (2) There is a moderate effect of governance uncertainty in APHD on economic growth with different characteristics. The combination of governance uncertainty and APHD can significantly inhibit economic growth, and this moderating effect has different impacts due to heterogeneous conditions. Spatially, this inhibitory effect is significantly obvious in the eastern, central, and western regions, while the negative effect is significant in areas north of the Huai River with medium and low self-defense ability. Additionally, compared with the delegating of governance power at the municipal level, when the governance power is delegated at the county level, the interaction between the governance uncertainty constructed by income fiscal decentralization and APHD has a less negative economic effect. (3) There is a threshold effect under the conditions of a low level of decentralization of prevention and control, a high level of investment in governance, and a low level of APHD. However, under the condition of a certain APHD level, when the decentralization level of pollution control is higher than 7.916 and the input level of pollution control in GDP is lower than 1.77%, the negative moderating effect can be effectively reduced.
Sustainable Use of Extracts of Some Plants Growing in Ethiopia for the Formulation of Herbal Shampoo and Its Antimicrobial Evaluation

Shampoo prepares surfactants to remove dirt, surface grease, and skin debris from hair, shaft, and scalp without harming the user. This study aimed to formulate herbal shampoo using Ethiopian plant extracts and evaluate their quality parameters. Herbal shampoos were formulated using seed oil extracts of Lepidium sativum L. and Ricinus communis L. , and essential oil extracts of Lippia adeonsis Hochst ex. Walp koseret, along with other ingredients. The formulated herbal shampoos were evaluated for their organoleptic and physicochemical properties such as pH, surface tension, viscosity, dirt dispersion, antimicrobial activities, and stability. When the investigation data were assessed, the formulations were pleasant and attractive, produced sufficient foam, and showed suitable cleansing activities. The pH values were in a range 5.90 ± 0.22–7.45 ± 0.19, and lower surface tension (23.39 ± 0.20–31.89 ± 1.04 dyne/cm) together with acceptable viscosity with good shearing properties were obtained. The formulated products exhibited good antimicrobial activities against Escherichia coli, Staphylococcus aureus, and Aspergillus niger. When the surface morphologies of hair samples were examined using a scanning electron microscope (SEM), a clean and smooth surface was observed for treated samples, comparable to that of the marketed shampoo. This result indicated that the formulated herbal shampoo is good, having acceptable properties at par with commercially available shampoos. However, further investigation, research, and development are required to improve its quality and safety.
The CHAT Trial:Time for a Heart to Heart Talk.

Mobile technology is pervasive and increasingly used for healthcare delivery given its accessibility and affordability. Mobile health (mHealth) interventions may be delivered in the form of text messages, which have the advantages of broad delivery at low cost, or through mobile applications and wearable devices, which provide rich contextual and physiological information. Digital interventions have the potential to revolutionize healthcare delivery, both for primary disease prevention and to reinforce behavior modification following a clinical event. While digital interventions offer great promise for shaping health behavior and improving clinical outcomes, these interventions have at times outpaced the medical community’s ability to systematically study them. Thus, there is an urgent need to determine which digital interventions are necessary and sufficient to mediate change and which populations benefit from which particular interventions. In this issue of Circulation: Cardiovascular Quality and Outcomes, Zheng et al1 report the results of their multicenter, randomized controlled trial (RCT) of a culturally sensitive text message intervention for the secondary prevention of coronary heart disease in China. In this study, patients with a history of an acute myocardial infarction or percutaneous coronary intervention, but without comorbid diabetes mellitus, were randomized to receive 6 text messages weekly or to receive 2 thank you messages monthly, in addition to usual care. Text messages were developed iteratively by experts in medicine and behavioral theory and provided education to participants on the importance of blood pressure (BP) control, medication adherence, physical activity, and smoking cessation. The primary outcome was the change in systolic BP (SBP) between baseline and 6 months. Acceptability and utility surveys were administered to subjects in the intervention group at the end of the trial. The study enrolled 822 participants from 37 hospitals across China between August 2016 and March 2017. Mean age was 56.4 years, and 14.1% were female. The majority of subjects had completed junior or senior high school and were from an urban environment. Mean SBP on enrollment was 131.1 mm Hg and ≈73% of study participants had an SBP <140 mm Hg, making most subjects at or near their goal BP at enrollment. Mean body mass index was ≈26 kg/m2 and mean LDL (low-density lipoprotein) cholesterol was 96.8 mg/dL. At 6 months, SBP had declined in both the intervention and the control groups, and there was no statically significant difference in the change in SBP between the 2 groups (−1.3 [95% CI, −3.3 to 0.8]; P=0.221). There were also no significant differences between the 2 groups with respect to change in LDL-cholesterol, body mass index, physical activity, or smoking status between baseline and 6 months. Despite finding no differences between groups with respect to the primary and secondary clinical end Circulation: Cardiovascular Quality and Outcomes
ROSAT PSPC observations of NGC 7469 and Ark 120

We present spatial, temporal and spectral analyses of ROSAT Position Sensitive Proportional Counter (PSPC) observations of the Seyfert 1 galaxies NGC 7469 and Ark 120. Both of these sources show evidence for excess emission and more complex 0.1- 2.5 keV spectra than are predicted by simple extrapolations of higher energy power laws. We find that the spectrum of NGC 7469 can be explained by models that have secondary power-law, secondary bremsstrahlung, secondary blackbody or emission-line components. We find evidence for 0.1-2.5 keV intensity variability of NGC 7469. The spectrum of Ark 120 is better described by models with secondary continuum components than by models with sharper spectral features. We discuss the agreement between X-ray and ultraviolet observations of these sources and examine the observations in the context of accretion disc reflection models. The inner parts of discs are likely to be reflective below approximately 0.24 keV, and this reflectivity complicates simple models of the soft excess.